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ORCIDDipti Srinivasan
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- affiliation: National University of Singapore, Department of Electrical and Computer Engineering, Singapore
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2020 – today
- 2024
[j90]Roohallah Alizadehsani
, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024)- [j89]Pranjal Pragya Verma, Mohammad Reza Hesamzadeh, Steffen Rebennack, Derek W. Bunn, K. Shanti Swarup, Dipti Srinivasan:
Optimal investment by large consumers in an electricity market with generator market power. Comput. Manag. Sci. 21(1): 36 (2024) - [j88]Yanxin Wang, Jing Yan, Wenjie Zhang, Zhou Yang, Jianhua Wang, Yingsan Geng, Dipti Srinivasan:
Mutitask Learning Network for Partial Discharge Condition Assessment in Gas-Insulated Switchgear. IEEE Trans. Ind. Informatics 20(10): 11998-12009 (2024) - [j87]Hui Li, Zhouyang Ren, Anupam Trivedi, Dipti Srinivasan, Peng Liu:
Optimal Planning of Dual-Zero Microgrid on an Island Toward Net-Zero Carbon Emission. IEEE Trans. Smart Grid 15(2): 1243-1257 (2024) - 2023
- [j86]Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao:
Conference Report on 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) [Conference Reports]. IEEE Comput. Intell. Mag. 18(3): 6-9 (2023) - [j85]Hao Quan, Kumar Utkarsh, Dipti Srinivasan:
A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks. IEEE Syst. J. 17(1): 212-223 (2023) - [j84]Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan:
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. 79: 101305 (2023) - [j83]Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j82]Linjun He, Ke Shang, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Relation Between Objective Space Normalization and Weight Vector Scaling in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27(5): 1177-1191 (2023) - [j81]Qizhang Luo, Guohua Wu, Anupam Trivedi, Fangyu Hong, Ling Wang, Dipti Srinivasan:
Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services. IEEE Trans. Intell. Transp. Syst. 24(9): 9642-9657 (2023) - [j80]Can Berk Saner, Jaydeep Saha, Dipti Srinivasan:
A Charge Curve and Battery Management System Aware Optimal Charging Scheduling Framework for Electric Vehicle Fast Charging Stations With Heterogeneous Customer Mix. IEEE Trans. Intell. Transp. Syst. 24(12): 14890-14902 (2023) - [c105]Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Preference-Based Nonlinear Normalization for Multiobjective Optimization. EMO 2023: 563-577 - [c104]Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan:
Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. GECCO 2023: 670-678 - 2022
- [j79]Pranjal Pragya Verma, Mohammad Reza Hesamzadeh, Ross Baldick, Darryl Ross Biggar, Kesanakurthy Shanti Swarup, Dipti Srinivasan:
Bayesian Nash Equilibrium in Electricity Spot Markets: An Affine-Plane Approximation Approach. IEEE Trans. Control. Netw. Syst. 9(3): 1421-1434 (2022) - [j78]Can Berk Saner, Anupam Trivedi, Dipti Srinivasan:
A Cooperative Hierarchical Multi-Agent System for EV Charging Scheduling in Presence of Multiple Charging Stations. IEEE Trans. Smart Grid 13(3): 2218-2233 (2022) - [c103]Can Berk Saner, Anupam Trivedi, Dipti Srinivasan:
An EV Charging Scheduling Methodology to Reduce Demand and Energy Charges in Industrial and Commercial Sites. ISGT Asia 2022: 285-289 - [c102]Can Berk Saner, Raymond Ho Chin Wei, Sayed A. R. Alkaff, Lee Wei Zheng, Lee Yu Wei, Anupam Trivedi, Dipti Srinivasan:
A Vehicle and Charging Scheduling Framework for Campus Shuttle Electric Buses. ISGT Asia 2022: 290-294 - [c101]Zhihao Yang, Ming Ni, Haoming Liu, Anupam Trivedi, Dipti Srinivasan:
Distribution Network Congestion Management with Internet Data Centers Using Bi-level Programming. ISGT Asia 2022: 394-398 - [c100]Yingqi Liang, Junbo Zhao, Dhivya Sampath Kumar, Pierluigi Siano, Dipti Srinivasan:
Robust Data-driven Sparse Estimation of Power Flow Sensitivities for Smart Grid Monitoring and Operation. ISGT Asia 2022: 535-539 - [e2]Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett:
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. IEEE 2022, ISBN 978-1-6654-8768-9 [contents] - [d1]Yingqi Liang, Junbo Zhao, Dhivya Sampath Kumar, Ketian Ye, Dipti Srinivasan:
Supplementary datasheet (TPWRS12). IEEE DataPort, 2022
- 2021
- [j77]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99: 106878 (2021) - [j76]Dan Zhang, Gang Feng, Yang Shi, Dipti Srinivasan:
Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances. IEEE CAA J. Autom. Sinica 8(2): 319-333 (2021) - [j75]Mengjun Ming, Anupam Trivedi, Rui Wang, Dipti Srinivasan, Tao Zhang:
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 739-753 (2021) - [j74]Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan:
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25(6): 1028-1048 (2021) - [j73]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan:
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 768-779 (2021) - [j72]Dongdong Lan, Pritam Das, Cikai Ye, Sanjib Kumar Sahoo, Dipti Srinivasan:
High-Frequency Link Matrix Rectifier in Discontinuous Conduction Mode With Reduced Input Current Distortion. IEEE Trans. Ind. Electron. 68(7): 5517-5526 (2021) - [j71]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [c99]Linjun He, Hisao Ishibuchi, Dipti Srinivasan:
Metric for evaluating normalization methods in multiobjective optimization. GECCO 2021: 403-411 - [c98]Dhivya Sampath Kumar, A. Sharma, V. Arphaphiphatphong, L. J. H. Mervyn, N. Y. Jie, N. T. Yi, Dipti Srinivasan:
Power Quality Assessment of Electric Vehicles on the Distribution Networks. ISGT Asia 2021: 1-5 - [c97]Dipti Srinivasan:
Retrieval Practice for Effective Teaching of an Engineering Course. TALE 2021: 1145-1149 - 2020
- [j70]Hao Quan, Abbas Khosravi, Dazhi Yang, Dipti Srinivasan:
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4582-4599 (2020) - [j69]Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Ram Rajagopal, Chin-Woo Tan, Dipti Srinivasan:
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections. IEEE Trans. Smart Grid 11(6): 5442-5450 (2020) - [c96]Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan:
Dynamic Normalization in MOEA/D for Multiobjective optimization. CEC 2020: 1-8 - [c95]Yingqi Liang, Junbo Zhang, Dipti Srinivasan:
Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation. IECON 2020: 1676-1683 - [c94]Meruyert Mussakhanova, H. S. V. S. Kumar Nunna, Dipti Srinivasan:
SD-LSTM Based Demand Response Framework for Prosumer Energy Management Systems. IECON 2020: 1998-2003 - [i5]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i4]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020) - [i3]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i2]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [j68]Vesna Sesum-Cavic, Keeley A. Crockett, Sansanee Auephanwiriyakul, Dipti Srinivasan:
The Role of the WCI Community in the IEEE CIM: An Activity Report [Society Briefs]. IEEE Comput. Intell. Mag. 14(4): 5-7 (2019) - [j67]Pranjal Verma, Krishnendu Sanyal, Dipti Srinivasan, K. S. Swarup:
Information exchange based clustered differential evolution for constrained generation-transmission expansion planning. Swarm Evol. Comput. 44: 863-875 (2019) - [j66]Rahul Mehta, Dipti Srinivasan, Anupam Trivedi, Jing Yang:
Hybrid Planning Method Based on Cost-Benefit Analysis for Smart Charging of Plug-In Electric Vehicles in Distribution Systems. IEEE Trans. Smart Grid 10(1): 523-534 (2019) - [j65]Utkarsh Kumar, Dipti Srinivasan, Anupam Trivedi, Wenjie Zhang, Thomas Reindl:
Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids. IEEE Trans. Smart Grid 10(3): 2833-2845 (2019) - [j64]Wenjie Zhang, Hao Quan, Dipti Srinivasan:
An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting. IEEE Trans. Smart Grid 10(4): 4425-4434 (2019) - [c93]Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Dipti Srinivasan:
Reliable Photovoltaic Generation Forecasting via Quantile Determination. ISGT 2019: 1-5 - [i1]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal Uncertainty-guided Neural Network Training. CoRR abs/1912.12761 (2019) - 2018
- [j63]Nelishia Pillay, Rong Qu, Dipti Srinivasan, Barbara Hammer, Kenneth Sörensen:
Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. IEEE Comput. Intell. Mag. 13(2): 16-17 (2018) - [j62]Pranjal Verma, Dipti Srinivasan, K. S. Swarup, Rahul Mehta:
A Review of Uncertainty Handling Techniques in Smart Grid. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(3): 345-378 (2018) - [j61]Deepa Kundur, Javier Contreras, Dipti Srinivasan, Nikolaos Gatsis, Meng Wang, Srinivas Peeta:
Introduction to the Issue on Signal and Information Processing for Critical Infrastructures. IEEE J. Sel. Top. Signal Process. 12(4): 575-577 (2018) - [j60]Dan Zhang, Sing Kiong Nguang, Dipti Srinivasan, Li Yu:
Distributed Filtering for Discrete-Time T-S Fuzzy Systems With Incomplete Measurements. IEEE Trans. Fuzzy Syst. 26(3): 1459-1471 (2018) - [j59]Yunrui Bi, Xiaobo Lu, Zhe Sun, Dipti Srinivasan, Zhixin Sun:
Optimal Type-2 Fuzzy System For Arterial Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 19(9): 3009-3027 (2018) - [j58]Dan Zhang, Qing-Guo Wang, Dipti Srinivasan, Hongyi Li, Li Yu:
Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1732-1746 (2018) - [j57]Rahul Mehta, Dipti Srinivasan, Ashwin M. Khambadkone, Jing Yang, Anupam Trivedi:
Smart Charging Strategies for Optimal Integration of Plug-In Electric Vehicles Within Existing Distribution System Infrastructure. IEEE Trans. Smart Grid 9(1): 299-312 (2018) - [j56]Anurag Sharma, Dipti Srinivasan, Anupam Trivedi:
A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment. IEEE Trans. Smart Grid 9(4): 3394-3405 (2018) - [j55]H. S. V. S. Kumar Nunna, Swathi Battula, Suryanarayana Doolla, Dipti Srinivasan:
Energy Management in Smart Distribution Systems With Vehicle-to-Grid Integrated Microgrids. IEEE Trans. Smart Grid 9(5): 4004-4016 (2018) - [j54]Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan:
Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework. Unmanned Syst. 6(4): 231-250 (2018) - [c92]Satarupa Bal, Dorai Babu Yelaverthi, Akshay Kumar Rathore, Dipti Srinivasan:
Novel Active Rectification for Extended ZVS Operation of Bidirectional Full Bridge DC/DC Converter for Energy Storage Application. IECON 2018: 2103-2109 - [c91]Anupam Trivedi, Dipti Srinivasan:
Empirical Investigations Into the Composite Differential Evolution on CEC 2017 Constrained Optimization Problems. SMC 2018: 280-285 - [c90]Mandar Chitre, Dipti Srinivasan:
Evaluating teaching effectiveness using quantitative student feedback. TALE 2018: 155-160 - [c89]Rajesh C. Panicker, Akash Kumar, Dipti Srinivasan, Deepu John:
Adaptive Learning and Analytics in Engineering Education. TALE 2018: 1193-1196 - 2017
- [j53]Dan Zhang, Fuwen Yang, Chao Yu, Dipti Srinivasan, Li Yu:
Robust fuzzy-model-based filtering for nonlinear networked systems with energy constraints. J. Frankl. Inst. 354(4): 1957-1973 (2017) - [j52]Anupam Trivedi, Dipti Srinivasan, Krishnendu Sanyal, Abhiroop Ghosh:
A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition. IEEE Trans. Evol. Comput. 21(3): 440-462 (2017) - [j51]Utkarsh Kumar, Anupam Trivedi, Dipti Srinivasan, Thomas Reindl:
A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 51-60 (2017) - [j50]H. S. V. S. Kumar Nunna, Dipti Srinivasan:
Multiagent-Based Transactive Energy Framework for Distribution Systems With Smart Microgrids. IEEE Trans. Ind. Informatics 13(5): 2241-2250 (2017) - [j49]Dan Zhang, Zhenhua Xu, Dipti Srinivasan, Li Yu:
Leader-Follower Consensus of Multiagent Systems With Energy Constraints: A Markovian System Approach. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1727-1736 (2017) - [c88]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Thomas Reindl:
A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment. ACALCI 2017: 378-390 - [c87]Anupam Trivedi, Krishnendu Sanyal, Pranjal Verma, Dipti Srinivasan:
A unified differential evolution algorithm for constrained optimization problems. CEC 2017: 1231-1238 - [c86]Rahul Mehta, Dipti Srinivasan, Pranjal Verma:
Intelligent appliance control algorithm for optimizing user energy demand in smart homes. CEC 2017: 1255-1262 - [c85]Utkarsh Kumar, Dipti Srinivasan, Thomas Reindl, Anupam Trivedi:
Grid ancillary service using distributed computational intelligence based control of renewables and storage systems in a distribution network. CEC 2017: 1412-1419 - [c84]Kulothungan Gnanasambandam, Akshay K. Rathore, Amarendra Edpuganti, Dipti Srinivasan:
Hybrid SVM-SOPWM modulation of current-fed three-level inverter for high power application. IAS 2017: 1-8 - [c83]Min Junhua, H. S. V. Sivanand Kumar, Dipti Srinivasan:
Congestion management in smart grids using virtual power plants as flexible resources. ISGT Asia 2017: 1-6 - [c82]Zhang Kailun, Dhivya Sampath Kumar, Dipti Srinivasan, Anurag Sharma:
An adaptive overcurrent protection scheme for microgrids based on real time digital simulation. ISGT Asia 2017: 1-6 - [c81]Carlos D. Rodriguez-Gallegos, Thomas Reindl, Oktoviano Gandhi, Dipti Srinivasan:
Competitiveness of reactive power compensation using PV inverter in distribution system. ISGT Europe 2017: 1-6 - [c80]Anupam Trivedi, Nimagna Biswas, Saurajit Chakraborty, Dipti Srinivasan:
Extending unified differential evolution with a new ensemble of constraint handling techniques. SSCI 2017: 1-8 - 2016
- [j48]Bharat Menon Radhakrishnan, Dipti Srinivasan, Rahul Mehta:
Fuzzy-Based Multi-Agent System for Distributed Energy Management in Smart Grids. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(5): 781-804 (2016) - [j47]Anupam Trivedi, Dipti Srinivasan, Subhodip Biswas, Thomas Reindl:
A genetic algorithm - differential evolution based hybrid framework: Case study on unit commitment scheduling problem. Inf. Sci. 354: 275-300 (2016) - [j46]Dan Zhang, Dipti Srinivasan, Li Yu, Wen-an Zhang, Kexin Xing:
Distributed non-fragile filtering in sensor networks with energy constraints. Inf. Sci. 370-371: 695-707 (2016) - [j45]Dipti Srinivasan, Ly Trong Trung, Chanan Singh:
Bidding and Cooperation Strategies for Electricity Buyers in Power Markets. IEEE Syst. J. 10(2): 422-433 (2016) - [j44]Kulothungan Gnanasambandam, Amarendra Edpuganti, Akshay Kumar Rathore, Dipti Srinivasan, Carlo Cecati, Concettina Buccella:
Optimal Low Switching Frequency Pulsewidth Modulation of Current-Fed Three-Level Converter for Solar Power Integration. IEEE Trans. Ind. Electron. 63(11): 6877-6886 (2016) - [j43]Dipti Srinivasan, Ganesh Kumar Venayagamoorthy:
Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid". IEEE Trans. Neural Networks Learn. Syst. 27(8): 1601-1603 (2016) - [c79]Anurag Sharma, Dipti Srinivasan, Dhivya Sampath Kumar:
A comparative analysis of centralized and decentralized multi-agent architecture for service restoration. CEC 2016: 311-318 - [c78]Willson Amalraj Arokiasami, Prahlad Vadakkepat, Kay Chen Tan, Dipti Srinivasan:
Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles. CEC 2016: 1375-1381 - [c77]Weixian Li, Thillainathan Logenthiran, Wai Lok Woo, Van-Tung Phan, Dipti Srinivasan:
Implementation of demand side management of a smart home using multi-agent system. CEC 2016: 2028-2035 - [c76]Chao Yu, Dipti Srinivasan, Qing-Guo Wang:
Global optimization through randomized group search in contracting regions. CEC 2016: 2813-2820 - [c75]Rahul Mehta, Dipti Srinivasan, Anupam Trivedi:
Optimal charging scheduling of plug-in electric vehicles for maximizing penetration within a workplace car park. CEC 2016: 3646-3653 - [c74]Dhivya Sampath Kumar, Dipti Srinivasan, Thomas Reindl:
A novel hybrid method for planning and allocation of DGs in medium voltage networks considering voltage regulation and relay coordination. CEC 2016: 3654-3661 - [c73]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Thomas Reindl:
A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration. CEC 2016: 3939-3946 - [c72]Wenjie Zhang, Pritam Das, Dipti Srinivasan:
A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization. CEC 2016: 4413-4420 - [c71]Ce Shang, Dipti Srinivasan, Thomas Reindl:
NSGA-II for joint generation and voyage scheduling of an all-electric ship. CEC 2016: 5113-5119 - [c70]K. Gnana Sambandam, Akshay K. Rathore, Amarendra Edpuganti, Dipti Srinivasan:
Current-fed multilevel converters: An overview of circuit topologies and modulation techniques. IAS 2016: 1-10 - [c69]Satarupa Bal, Akshay K. Rathore, Dipti Srinivasan:
Comprehensive study and analysis of naturally commutated Current-Fed Dual Active Bridge PWM DC/DC converter. IECON 2016: 4382-4388 - [c68]Dipti Srinivasan:
Teaching sustainable energy course through real world case studies, projects and simulations. TALE 2016: 436-440 - 2015
- [j42]Thillainathan Logenthiran, Dipti Srinivasan:
Multi-agent system for managing distributed energy storage and electrical vehicles. Intell. Decis. Technol. 9(2): 181-190 (2015) - [j41]Anupam Trivedi, Dipti Srinivasan, Subhodip Biswas, Thomas Reindl:
Hybridizing genetic algorithm with differential evolution for solving the unit commitment scheduling problem. Swarm Evol. Comput. 23: 50-64 (2015) - [j40]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Chiranjib Saha, Thomas Reindl:
Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem. IEEE Trans. Ind. Informatics 11(6): 1346-1357 (2015) - [j39]Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan, Rihanna Khosravi:
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1810-1815 (2015) - [j38]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2123-2135 (2015) - [j37]Anurag Sharma, Dipti Srinivasan, Anupam Trivedi:
A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding. IEEE Trans. Smart Grid 6(6): 2784-2793 (2015) - [c67]Bharat Menon Radhakrishnan, Dipti Srinivasan, Yong Fu Alfred Lau, Balaji Parasumanna Gokulan, Akshay Kumar Rathore, Sanjib Kumar Panda, Ashwin M. Khambadkone:
A Reinforcement learning algorithm for Agent-based Computational Economics (ACE) model of electricity markets. CEC 2015: 297-303 - [c66]Anupam Trivedi, Dipti Srinivasan, Thomas Reindl, Chanan Singh:
A multi-objective genetic algorithm for unit commitment with significant wind penetration. CEC 2015: 311-318 - [c65]Dhivya Sampath Kumar, Bharat Menon Radhakrishnan, Dipti Srinivasan, Thomas Reindl:
An adaptive fuzzy based relay for protection of distribution networks. FUZZ-IEEE 2015: 1-6 - [c64]Satarupa Bal, Akshay K. Rathore, Dipti Srinivasan:
Naturally commutated current-fed three-phase bidirectional soft-switching DC-DC converter with new modulation technique. IAS 2015: 1-8 - [c63]Dhivya Sampath Kumar, Tianyi Han, Dipti Srinivasan, Thomas Reindl, U. J. Shenoy:
Optimal distributed generation allocation using evolutionary algorithms in meshed network. ISGT Asia 2015: 1-6 - [c62]Congmiao Li, Dipti Srinivasan, Thomas Reindl:
Real-time scheduling of time-shiftable loads in smart grid with dynamic pricing and photovoltaic power generation. ISGT Asia 2015: 1-6 - [c61]Congmiao Li, Dipti Srinivasan, Thomas Reindl:
Hardware-assisted malware detection for embedded systems in smart grid. ISGT Asia 2015: 1-6 - [c60]Thillainathan Logenthiran, Dipti Srinivasan, Ei Phyu:
Particle swarm optimization for demand side management in smart grid. ISGT Asia 2015: 1-6 - [c59]Monika, Dipti Srinivasan, Thomas Reindl:
GIS as a tool for enhancing the optimization of demand side management in residential microgrid. ISGT Asia 2015: 1-6 - [c58]Monika, Dipti Srinivasan, Thomas Reindl:
Real-time display of data from a smart-grid on geographical map using a GIS tool and its role in optimization of game theory. ISGT Asia 2015: 1-6 - [c57]Anurag Sharma, Samson Shih, Dipti Srinivasan:
A smart scheduling strategy for charging and discharging of electric vehicles. ISGT Asia 2015: 1-6 - [c56]Anupam Trivedi, R. Bharat Menon, Dipti Srinivasan, Anurag Sharma, Wong Fong Dong Nicholas:
Multi-objective siting and sizing of E charging stations in the distribution system. ISGT Asia 2015: 1-6 - 2014
- [j36]Yunrui Bi, Dipti Srinivasan, Xiaobo Lu, Zhe Sun, Weili Zeng:
Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization. Expert Syst. Appl. 41(16): 7338-7349 (2014) - [j35]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Particle swarm optimization for construction of neural network-based prediction intervals. Neurocomputing 127: 172-180 (2014) - [j34]Balaji Parasumanna Gokulan, Dipti Srinivasan:
Modified Symbiotic Evolutionary Learning for Type-2 Fuzzy System. IEEE Syst. J. 8(2): 353-362 (2014) - [j33]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 25(2): 303-315 (2014) - [c55]Devendra Patii, Akshay K. Rathore, Dipti Srinivasan, Sanjib Kumar Panda:
High-frequency soft-switching LCC resonant current-fed DC/DC converter with high voltage gain for DC microgrid application. IECON 2014: 4293-4299 - [c54]Rahul Mehta, R. Bharat Menon, Dipti Srinivasan, Sanjib Kumar Panda, Akshay Kumar Rathore:
Market based multi-agent control of microgrid. ISSNIP 2014: 1-6 - 2013
- [j32]Deepak Sharma, Anupam Trivedi, Dipti Srinivasan, Thillainathan Logenthiran:
Multi-agent modeling for solving profit based unit commitment problem. Appl. Soft Comput. 13(8): 3751-3761 (2013) - [j31]V. Sharma, Dipti Srinivasan:
A hybrid intelligent model based on recurrent neural networks and excitable dynamics for price prediction in deregulated electricity market. Eng. Appl. Artif. Intell. 26(5-6): 1562-1574 (2013) - [c53]A. Y. F. Lau, Dipti Srinivasan, Thomas Reindl:
A reinforcement learning algorithm developed to model GenCo strategic bidding behavior in multidimensional and continuous state and action spaces. ADPRL 2013: 116-123 - [c52]R. Bharat Menon, Sangeetha. B. Menon, Dipti Srinivasan, Lakhmi C. Jain:
Fuzzy logic decision-making in multi-agent systems for smart grids. CIASG 2013: 44-50 - [c51]Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Construction of neural network-based prediction intervals for short-term electrical load forecasting. CIASG 2013: 66-72 - [c50]Shivangi Gupta, Dipti Srinivasan, Thomas Reindl:
Forecasting Solar and Wind data using Dynamic Neural Network Architectures for a Micro-Grid ensemble. CIASG 2013: 87-92 - [c49]Yunrui Bi, Dipti Srinivasan, Xiaobo Lu, Zhe Sun:
Single intersection signal control based on Type-2 fuzzy logic. CIVTS 2013: 25-31 - [c48]Xinjie Zhao, Jianxin Xu, Dipti Srinivasan:
Freeway ramp metering by macroscopic traffic scheduling with particle swarm optimization. CIVTS 2013: 32-37 - 2012
- [j30]Thillainathan Logenthiran, Dipti Srinivasan, Ashwin M. Khambadkone, Htay Nwe Aung:
Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator. IEEE Trans. Smart Grid 3(2): 925-933 (2012) - [j29]Thillainathan Logenthiran, Dipti Srinivasan, Tan Zong Shun:
Demand Side Management in Smart Grid Using Heuristic Optimization. IEEE Trans. Smart Grid 3(3): 1244-1252 (2012) - [c47]Thillainathan Logenthiran, Dipti Srinivasan, Ashwin M. Khambadkone, T. Sundar Raj:
Optimal sizing of Distributed Energy Resources for integrated microgrids using Evolutionary Strategy. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c46]Anupam Trivedi, Deepak Sharma, Dipti Srinivasan:
Multi-objectivization of short-term unit commitment under uncertainty using evolutionary algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c45]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Construction of neural network-based prediction intervals using particle swarm optimization. IJCNN 2012: 1-7 - 2011
- [j28]P. G. Balaji, Dipti Srinivasan:
Type-2 fuzzy logic based urban traffic management. Eng. Appl. Artif. Intell. 24(1): 12-22 (2011) - [j27]Vineet Yadav, Dipti Srinivasan:
A SOM-based hybrid linear-neural model for short-term load forecasting. Neurocomputing 74(17): 2874-2885 (2011) - [c44]Thillainathan Logenthiran, Dipti Srinivasan:
LRGA for solving profit based generation scheduling problem in competitive environment. IEEE Congress on Evolutionary Computation 2011: 1148-1154 - [c43]Le Thanh Xuan Yen, Deepak Sharma, Dipti Srinivasan, Pindoriya Naran Manji:
A modified hybrid particle swarm optimization approach for unit commitment. IEEE Congress on Evolutionary Computation 2011: 1738-1745 - [c42]Anupam Trivedi, Naran M. Pindoriya, Dipti Srinivasan, Deepak Sharma:
Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling. IEEE Congress on Evolutionary Computation 2011: 2170-2177 - [c41]Dipti Srinivasan, Ly Trong Trung:
Co-evolutionary bidding strategies for buyers in electricity power markets. IEEE Congress on Evolutionary Computation 2011: 2519-2526 - [c40]Deepak Sharma, Dipti Srinivasan, Anupam Trivedi:
Multi-agent approach for profit based unit commitment. IEEE Congress on Evolutionary Computation 2011: 2527-2533 - [c39]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan:
Optimizing the quality of bootstrap-based prediction intervals. IJCNN 2011: 3072-3078 - [c38]Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid neural-evolutionary model for electricity price forecasting. IJCNN 2011: 3164-3169 - [c37]Vishal Sharma, Dipti Srinivasan:
Hybrid model incorporating multiple scale dynamics for time series forecasting. IJCNN 2011: 3235-3242 - 2010
- [j26]Balaji Parasumanna Gokulan, Dipti Srinivasan:
Multi-Agent System in Urban Traffic Signal Control. IEEE Comput. Intell. Mag. 5(4): 43-51 (2010) - [j25]Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee Peng Lim:
Design and application of neural networks and intelligent learning systems. Neurocomputing 73(4-6): 591-592 (2010) - [j24]Heng Deng, Dipti Srinivasan, Ramesh Oruganti:
A B-spline network based neural controller for power electronic applications. Neurocomputing 73(4-6): 593-601 (2010) - [j23]Lily Rachmawati, Dipti Srinivasan:
Incorporating the Notion of Relative Importance of Objectives in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 14(4): 530-546 (2010) - [j22]Balaji Parasumanna Gokulan, Dipti Srinivasan:
Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 11(3): 714-727 (2010) - [c36]Lily Rachmawati, Dipti Srinivasan:
Incorporation of imprecise goal vectors into evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c35]Jianxin Xu, Xinjie Zhao, Dipti Srinivasan:
Fuzzy logic controller for freeway ramp metering with particle swarm optimization and PARAMICS simulation. FUZZ-IEEE 2010: 1-6 - [c34]Vishal Sharma, Dipti Srinivasan:
A spiking neural network based on temporal encoding for electricity price time series forecasting in deregulated markets. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j21]Dipti Srinivasan:
Experience teaching a graduate level course in evolutionary computation. IEEE Comput. Intell. Mag. 4(3): 45-46 (2009) - [j20]Dipti Srinivasan, Chee Wai Chan, P. G. Balaji:
Computational intelligence-based congestion prediction for a dynamic urban street network. Neurocomputing 72(10-12): 2710-2716 (2009) - [j19]Lily Rachmawati, Dipti Srinivasan:
Multiobjective Evolutionary Algorithm With Controllable Focus on the Knees of the Pareto Front. IEEE Trans. Evol. Comput. 13(4): 810-824 (2009) - [c33]Balaji Parasumanna Gokulan, Dipti Srinivasan:
Distributed multi-agent type-2 fuzzy architecture for urban traffic signal control. FUZZ-IEEE 2009: 1627-1632 - 2008
- [j18]Dipti Srinivasan, Dakun Woo:
Evolving cooperative bidding strategies in a power market. Appl. Intell. 29(2): 162-173 (2008) - [j17]Dipti Srinivasan:
Energy demand prediction using GMDH networks. Neurocomputing 72(1-3): 625-629 (2008) - [j16]Dipti Srinivasan, Vishal Sharma, Kar-Ann Toh:
Reduced multivariate polynomial-based neural network for automated traffic incident detection. Neural Networks 21(2-3): 484-492 (2008) - [j15]Dipti Srinivasan, Lily Rachmawati:
Efficient Fuzzy Evolutionary Algorithm-Based Approach for Solving the Student Project Allocation Problem. IEEE Trans. Educ. 51(4): 439-447 (2008) - [j14]Heng Deng, Ramesh Oruganti, Dipti Srinivasan:
A Simple Control Method for High-Performance UPS Inverters Through Output-Impedance Reduction. IEEE Trans. Ind. Electron. 55(2): 888-898 (2008) - [j13]Heng Deng, Ramesh Oruganti, Dipti Srinivasan:
Neural Controller for UPS Inverters Based on B-Spline Network. IEEE Trans. Ind. Electron. 55(2): 899-909 (2008) - [c32]Lily Rachmawati, Dipti Srinivasan:
Multi-Objective Evolutionary Algorithm -assisted automated parallel parking. IEEE Congress on Evolutionary Computation 2008: 4130-4137 - [c31]P. G. Balaji, Dipti Srinivasan, Chen-Khong Tham:
Coordination in distributed multi-agent system using type-2 fuzzy decision systems. FUZZ-IEEE 2008: 2291-2298 - 2007
- [j12]Heng Deng, Ramesh Oruganti, Dipti Srinivasan:
Analysis and Design of Iterative Learning Control Strategies for UPS Inverters. IEEE Trans. Ind. Electron. 54(3): 1739-1751 (2007) - [c30]Dipti Srinivasan, Vishal Sharma:
Evolutionary computation and economic time series forecasting. IEEE Congress on Evolutionary Computation 2007: 188-195 - [c29]P. G. Balaji, Dipti Srinivasan, Chen-Khong Tham:
Uncertainties reducing Techniques in evolutionary computation. IEEE Congress on Evolutionary Computation 2007: 556-563 - [c28]Dipti Srinivasan, Chen-Khong Tham, Chengyu Wu:
Co-Evolutionary algorithms for evolving buyers' bidding strategies in an electrival power market. IEEE Congress on Evolutionary Computation 2007: 774-781 - [c27]P. G. Balaji, G. Sachdeva, Dipti Srinivasan, Chen-Khong Tham:
Multi-agent System based Urban Traffic Management. IEEE Congress on Evolutionary Computation 2007: 1740-1747 - [c26]V. Subrarnanyam, Dipti Srinivasan, R. Oniganti:
A Dual layered PSO Algorithm for evolving an Artificial Neural Network controller. IEEE Congress on Evolutionary Computation 2007: 2350-2357 - [c25]Suranga Chandima Nanayakkara, Dipti Srinivasan, Lai Wei Lup, Xavier German, Elizabeth A. Taylor, S. H. Ong:
Genetic Algorithm based route planner for large urban street networks. IEEE Congress on Evolutionary Computation 2007: 4469-4474 - [c24]Lai Wei Lup, Dipti Srinivasan:
A hybrid evolutionary algorithm for dynamic route planning. IEEE Congress on Evolutionary Computation 2007: 4743-4749 - [c23]Dipti Srinivasan, Vishal Sharma:
A Reduced Multivariate Polynomial Based Neural Network Model Pattern Classifier for Freeway Incident Detection. IJCNN 2007: 2366-2372 - [p3]Kar-Ann Toh, Quoc-Long Tran, Dipti Srinivasan:
Hyperbolic Function Networks for Pattern Classification. Trends in Neural Computation 2007: 1-33 - [p2]Dipti Srinivasan, Min Chee Choy:
Distributed Problem Solving using Evolutionary Learning in Multi-Agent Systems. Advances in Evolutionary Computing for System Design 2007: 211-227 - [e1]Lakhmi C. Jain, Vasile Palade, Dipti Srinivasan:
Advances in Evolutionary Computing for System Design. Studies in Computational Intelligence 66, Springer 2007, ISBN 978-3-540-72376-9 [contents] - 2006
- [j11]Dipti Srinivasan, Min Chee Choy, Ruey Long Cheu:
Neural Networks for Real-Time Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 7(3): 261-272 (2006) - [j10]Min Chee Choy, Dipti Srinivasan, Ruey Long Cheu:
Neural Networks for Continuous Online Learning and Control. IEEE Trans. Neural Networks 17(6): 1511-1531 (2006) - [c22]Lily Rachmawati, Dipti Srinivasan:
Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey. IEEE Congress on Evolutionary Computation 2006: 962-968 - [c21]Lily Rachmawati, Dipti Srinivasan:
A Multi-Objective Genetic Algorithm with Controllable Convergence on Knee Regions. IEEE Congress on Evolutionary Computation 2006: 1916-1923 - [c20]Dipti Srinivasan, Kong Wei Lye, Dakun Woo:
Evolving Cooperative Bidding Strategies in a Power Market. IEEE Congress on Evolutionary Computation 2006: 2563-2570 - [c19]Dipti Srinivasan, Lily Rachmawati:
An efficient multi-objective evolutionary algorithm with steady-state replacement model. GECCO 2006: 715-722 - [c18]Lily Rachmawati, Dipti Srinivasan:
A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions. GECCO 2006: 749-750 - [c17]Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong Wei Lye:
Evolving cooperative behavior in a power market. GECCO 2006: 1599-1600 - [c16]Tai-Kia Tan, Cheng-Leong Ng, Kar-Ann Toh, How-Lung Eng, Wei-Yun Yau, Dipti Srinivasan:
A Bimodal Palmprint Verification System. ICB 2006: 737-743 - [c15]Dipti Srinivasan, Saptak Sanyal, Woei Wan Tan:
Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection. IJCNN 2006: 713-719 - 2005
- [j9]Dipti Srinivasan, Xin Jin, Ruey Long Cheu:
Adaptive neural network models for automatic incident detection on freeways. Neurocomputing 64: 473-496 (2005) - [j8]Kanakasabai Viswanathan, Ramesh Oruganti, Dipti Srinivasan:
Nonlinear function controller: a simple alternative to fuzzy logic controller for a power electronic converter. IEEE Trans. Ind. Electron. 52(5): 1439-1448 (2005) - [j7]Quoc-Long Tran, Kar-Ann Toh, Dipti Srinivasan, K. L. Wong, Qiu-Cen Low Shaun:
An empirical comparison of nine pattern classifiers. IEEE Trans. Syst. Man Cybern. Part B 35(5): 1079-1091 (2005) - [c14]Dipti Srinivasan, Jerome Chazelas:
Heuristics-based evolutionary algorithm for solving unit commitment and dispatch. Congress on Evolutionary Computation 2005: 1547-1554 - [c13]Lily Rachmawati, Dipti Srinivasan:
A Hybrid Fuzzy Evolutionary Algorithm for A Multi-Objective Resource Allocation Problem. HIS 2005: 55-60 - [p1]Dipti Srinivasan, Tian Hou Seow:
Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multi-Criteria Optimization Problems. Evolutionary Multiobjective Optimization 2005: 147-165 - 2004
- [j6]Kar-Ann Toh, Quoc-Long Tran, Dipti Srinivasan:
Benchmarking a Reduced Multivariate Polynomial Pattern Classifier. IEEE Trans. Pattern Anal. Mach. Intell. 26(6): 740-755 (2004) - [j5]Dipti Srinivasan, Xin Jin, Ruey Long Cheu:
Evaluation of adaptive neural network models for freeway incident detection. IEEE Trans. Intell. Transp. Syst. 5(1): 1-11 (2004) - [c12]Shivanajay Marwaha, Dipti Srinivasan, Chen-Khong Tham, Athanasios V. Vasilakos:
Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks. IEEE Congress on Evolutionary Computation 2004: 1964-1971 - [c11]Kanakasabai Viswanathan, Dipti Srinivasan, Ramesh Oruganti:
Design and analysis of SISO fuzzy logic controller for power electronic converters. FUZZ-IEEE 2004: 1293-1298 - 2003
- [j4]Ruey Long Cheu, Dipti Srinivasan, Der-Horng Lee:
Guest Editorial: IEEE 5th international conference on intelligent transportation systems papers. IEEE Trans. Intell. Transp. Syst. 4(2): 57-58 (2003) - [j3]Min Chee Choy, Dipti Srinivasan, Ruey Long Cheu:
Cooperative, hybrid agent architecture for real-time traffic signal control. IEEE Trans. Syst. Man Cybern. Part A 33(5): 597-607 (2003) - [c10]Dipti Srinivasan, Tian Hou Seow:
Particle swarm inspired evolutionary algorithm (PS-EA) for multiobjective optimization problems. IEEE Congress on Evolutionary Computation 2003: 2292-2297 - [c9]W. S. Ng, Dipti Srinivasan, A. C. Liew:
Evolving Feedforward Neural Network for Harmonics Signature Identification. HIS 2003: 167-174 - [c8]Dipti Srinivasan, Wee Hoon Loo, Ruey Long Cheu:
Traffic incident detection using particle swarm optimization. SIS 2003: 144-151 - [c7]Chin Aik Koay, Dipti Srinivasan:
Particle swarm optimization-based approach for generator maintenance scheduling. SIS 2003: 167-173 - 2002
- [c6]Dipti Srinivasan, Tian Hou Seow, Jianxin Xu:
Automated time table generation using multiple context reasoning for university modules. IEEE Congress on Evolutionary Computation 2002: 1751-1756 - [c5]Kanakasabai Viswanathan, Dipti Srinivasan, Ramesh Oruganti:
A universal fuzzy controller for a non-linear power electronic converter. FUZZ-IEEE 2002: 46-51 - [c4]Min Chee Choy, Dipti Srinivasan, Ruey Long Cheu:
Hybrid cooperative agents with online reinforcement learning for traffic control. FUZZ-IEEE 2002: 1015-1020 - [c3]Shivanajay Marwaha, Chen-Khong Tham, Dipti Srinivasan:
Mobile agents based routing protocol for mobile ad hoc networks. GLOBECOM 2002: 163-167 - [c2]Shivanajay Marwaha, Chen-Khong Tham, Dipti Srinivasan:
A novel routing protocol using mobile agents and reactive route discovery for ad hoc wireless networks. ICON 2002: 311-316 - 2001
- [j2]Xin Jin, Dipti Srinivasan, Ruey Long Cheu:
Classification of freeway traffic patterns for incident detection using constructive probabilistic neural networks. IEEE Trans. Neural Networks 12(5): 1173-1187 (2001) - [c1]Dipti Srinivasan, Irfan Mulyawan Malik:
Flexible Generator Maintenance Scheduling in a Practical System Using Fuzzy Logic and Genetic Algorithm. HIS 2001: 395-413
1990 – 1999
- 1998
- [j1]Dipti Srinivasan:
Evolving artificial neural networks for short term load forecasting. Neurocomputing 23(1-3): 265-276 (1998)
Coauthor Index
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