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ORCIDHussain Mohammed Dipu Kabir
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2020 – today
- 2024
[j16]Hussain Mohammed Dipu Kabir
, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024)- [j15]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Syed Bahauddin Alam, U. Rajendra Acharya:
Transfer learning with spinally shared layers. Appl. Soft Comput. 163: 111908 (2024) - [j14]Kan Ni, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Tan Tian, Hong-Ning Dai:
Toward security quantification of serverless computing. J. Cloud Comput. 13(1): 140 (2024) - [j13]Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar, Issa Nodehi, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya:
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009-2023) and open research challenges. Multim. Tools Appl. 83(26): 67953-67996 (2024) - 2023
- [j12]Subrota Kumar Mondal, Haoxi Zhang, Hussain Mohammed Dipu Kabir, Kan Ni, Hong-Ning Dai:
Machine translation and its evaluation: a study. Artif. Intell. Rev. 56(9): 10137-10226 (2023) - [j11]Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j10]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) - [i6]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - 2022
- [j9]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j8]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j7]Subrota Kumar Mondal, Rui Pan, Hussain Mohammed Dipu Kabir, Tan Tian, Hong-Ning Dai:
Kubernetes in IT administration and serverless computing: An empirical study and research challenges. J. Supercomput. 78(2): 2937-2987 (2022) - [c18]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [i5]Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, Hussain Mohammed Dipu Kabir, Ru San Tan, U. Rajendra Acharya:
Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review. CoRR abs/2203.12315 (2022) - [i4]Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - 2021
- [j6]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) - [j5]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard:
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 595-606 (2021) - [j4]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) - [c17]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN 2021: 1-8 - [c16]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC 2021: 2767-2774 - [i3]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR abs/2110.07097 (2021) - 2020
- [c15]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi:
Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN 2020: 1-8 - [c14]Subrota Kumar Mondal, Yu Pei, Hong-Ning Dai, Hussain Mohammed Dipu Kabir, Jyoti Prakash Sahoo:
Boosting UI Rendering in Android Applications. QRS Companion 2020: 285-286 - [c13]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [i2]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)
2010 – 2019
- 2019
- [j3]Hussain Mohammed Dipu Kabir, Mansun Chan:
Polycrystalline transistor with multiple thresholds. Microelectron. J. 83: 126-130 (2019) - [c12]Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Probability Density Computation Neural Network for Time Series Data. CloudCom 2019: 341-346 - [c11]Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT 2019: 765-772 - [c10]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - [c9]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
Probability Density for Amazon Spot Instance Price. ICIT 2019: 887-892 - [c8]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi:
Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC 2019: 2089-2096 - [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
- [j2]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access 6: 36218-36234 (2018) - [c7]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [c6]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. IJCNN 2018: 1-6 - [c5]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Partial Adversarial Training for Prediction Interval. IJCNN 2018: 1-6 - 2017
- [j1]Hussain Mohammed Dipu Kabir, S. M. Salahuddin:
A frequency multiplier using three ambipolar graphene transistors. Microelectron. J. 70: 12-15 (2017) - [c4]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi:
Prediction interval with examples of similar pattern and prediction strength. CCECE 2017: 1-4 - [c3]Abadhan Saumya Sabyasachi, Hussain Mohammed Dipu Kabir, Ahmed Mohamed Abdelmoniem, Subrota Kumar Mondal:
A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market. SRDS 2017: 247-249 - 2010
- [c2]Hussain Mohammed Dipu Kabir, Syed Bahauddin Alam, Md. Isme Azam, Md Rishad Ahmed, Md. Riazul Islam, M. Asif-Ul-Hoque, Md. Abdul Matin:
A Theory of Loss-less Compression of High Quality Speech Signals with Comparison. EMS 2010: 136-141 - [c1]Hussain Mohammed Dipu Kabir, Syed Bahauddin Alam, Md. Isme Azam, Mohammad Arafat Hussain, A. B. M. Rafi Sazzad, Md. Nazmus Sakib, Md. Abdul Matin:
Non-linear Down-sampling and Signal Reconstruction, without Folding. EMS 2010: 142-146
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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