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ORCIDAmir Ghasemi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j17]Erfan Nejati, Ensieh Ghaedy-Heidary, Amir Ghasemi
, S. Ali Torabi:
A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems. Comput. Ind. Eng. 196: 110507 (2024)- [j16]Ensieh Ghaedy-Heidary, Erfan Nejati, Amir Ghasemi, S. Ali Torabi:
A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems - Case: Semiconductor manufacturing. Comput. Oper. Res. 163: 106508 (2024) - [j15]Amir Ghasemi, Fatemeh Farajzadeh, Cathal Heavey, John Fowler, Chrissoleon T. Papadopoulos:
Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap. J. Ind. Inf. Integr. 39: 100599 (2024) - [c26]Amir Ghasemi, Janaki Parekh:
Informing Wireless Spectrum Policy-Making via Crowdsourced Data-Driven Insights: A Case Study. DySPAN 2024: 447-454 - [i2]Amir Ghasemi, Paul Guinand:
Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs). CoRR abs/2403.17819 (2024) - 2023
- [j14]Colin Brown, Amir Ghasemi:
Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges. IEEE Access 11: 99680-99692 (2023) - [j13]Mohammad Parvini, Amir Hossein Zarif, Ali Nouruzi, Nader Mokari, Mohammad Reza Javan, Bijan Abbasi, Amir Ghasemi, Halim Yanikomeroglu:
Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic. IEEE Open J. Commun. Soc. 4: 464-517 (2023) - [j12]Amir Ghasemi, Janaki Parekh:
DeepAir: Enabling Data-Driven Dynamic Spectrum Sharing via Scalable Forecasting. IEEE Trans. Cogn. Commun. Netw. 9(1): 16-27 (2023) - [c25]Janaki Parekh, Amir Ghasemi, Halim Yanikomeroglu:
Data-Driven Modelling of Mobile Network Demand for Efficient Spectrum Management. PIMRC 2023: 1-6 - [c24]Colin Brown, Amir Ghasemi:
Leveraging Geospatial Data to Improve Spectrum Sharing in Mid-Band. WCNC 2023: 1-5 - [c23]Amir Ghasemi, Yavar Taheri Yeganeh, Andrea Matta, Kamil Erkan Kabak, Cathal Heavey:
Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment. WSC 2023: 2148-2159 - [i1]Amir Ghasemi, Fatemeh Mottaghian, Akram Bayat:
Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans. CoRR abs/2301.09667 (2023) - 2022
- [c22]Amir Ghasemi, Kamil Erkan Kabak, Cathal Heavey:
Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling. WSC 2022: 3406-3417 - 2021
- [j11]Amir Ghasemi, Amir Ashoori, Cathal Heavey:
Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems. Appl. Soft Comput. 106: 107309 (2021) - [j10]Janaki Parekh, Chaitanya Parekh, Amir Ghasemi:
Enabling Universal Connectivity via Data-Driven Policymaking: A North American Case Study. IEEE Commun. Mag. 59(12): 23-29 (2021) - [c21]Amir Ghasemi, Janaki Parekh:
DeepAir: Predicting Radio Spectrum Usage at Scale with Deep Temporal Convolutional Networks. ICC Workshops 2021: 1-7 - [c20]Amir Ghasemi, Janaki Parekh:
Deep Learning based Localization of LTE eNodeBs from Large Crowdsourced Smartphone Datasets. VTC Spring 2021: 1-7 - [c19]Amir Ghasemi, Cathal Heavey:
An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments - Case: A Photolithography Workstation. WSC 2021: 1-12
2010 – 2019
- 2019
- [j9]Li Li, Amir Ghasemi:
IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process. IEEE Internet Things J. 6(2): 1911-1919 (2019) - [j8]Zahra Dehghani Arani, Seyed Abbas Taher, Amir Ghasemi, Mohammad Shahidehpour:
Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions. IEEE Trans. Smart Grid 10(1): 337-349 (2019) - [c18]Amir Ghasemi, Chaitanya Parekh, Paul Guinand:
Spectrum Sensing for Modulated Radio Signals Using Deep Temporal Convolutional Networks. WCNC Workshops 2019: 1-5 - 2018
- [c17]Amir Ghasemi:
Predictive Modeling of LTE User Throughput Via Crowd-Sourced Mobile Spectrum Data. DySPAN 2018: 1-5 - [c16]Amir Ghasemi:
Data-Driven Prediction of Cellular Networks Coverage: An Interpretable Machine-Learning Model. GlobalSIP 2018: 604-608 - [c15]Humphrey Rutagemwa, Amir Ghasemi, Shuo Liu:
Dynamic Spectrum Assignment for Land Mobile Radio with Deep Recurrent Neural Networks. ICC Workshops 2018: 1-6 - [c14]Kareem E. Baddour, Amir Ghasemi, Humphrey Rutagemwa:
Spectrum Occupancy Prediction for Land Mobile Radio Bands Using a Recommender System. VTC Fall 2018: 1-6 - [c13]Amir Ghasemi, Cathal Heavey, Georg Laipple:
A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems. WSC 2018: 3672-3683 - [c12]Amir Ghasemi, Cathal Heavey, Kamil Erkan Kabak:
Implementing a New Genetic Algorithm to solve the Capacity Allocation Problem in the photolithography Area. WSC 2018: 3696-3707 - 2017
- [c11]Humphrey Rutagemwa, Kareem E. Baddour, Amir Ghasemi:
Spectrum sharing opportunities in land mobile radio bands: A data-driven approach. PIMRC 2017: 1-5 - 2015
- [j7]Kaveh Khalili Damghani, Amir-Reza Abtahi, Amir Ghasemi:
A New Bi-objective Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach. J. Math. Model. Algorithms Oper. Res. 14(3): 287-312 (2015) - 2014
- [c10]Jeremy Mack, Saeed Gazor, Amir Ghasemi, John Sydor:
Dynamic Channel Selection in cognitive radio WiFi networks: An experimental evaluation. ICC Workshops 2014: 261-267 - 2011
- [c9]Amir Ghasemi, Amir Ali Basri, John Sydor:
Impact of directive handset antennas on the performance of outdoor-to-indoor MIMO systems. IWCMC 2011: 2192-2197 - [c8]Amir Ali Basri, Amir Ghasemi, John Sydor:
Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset. VTC Spring 2011: 1-7 - 2010
- [c7]Amir Ghasemi:
Interference characteristics in power-controlled cognitive radio networks. CrownCom 2010: 1-5
2000 – 2009
- 2008
- [j6]Amir Ghasemi, Elvino S. Sousa:
Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs. IEEE Commun. Mag. 46(4): 32-39 (2008) - [j5]Amir Ghasemi, Elvino Silveira Sousa:
Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks. IEEE J. Sel. Top. Signal Process. 2(1): 41-56 (2008) - [c6]Amir Ghasemi:
Statistical characterization of interference in cognitive radio networks. PIMRC 2008: 1-6 - 2007
- [j4]Amir Ghasemi, Elvino S. Sousa:
Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing. IEEE Commun. Lett. 11(1): 34-36 (2007) - [j3]Amir Ghasemi, Elvino S. Sousa:
Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing. J. Commun. 2(2): 71-82 (2007) - [j2]Amir Ghasemi, Elvino S. Sousa:
Fundamental limits of spectrum-sharing in fading environments. IEEE Trans. Wirel. Commun. 6(2): 649-658 (2007) - [j1]Amir Ghasemi, Elvino S. Sousa:
Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff. Wirel. Commun. Mob. Comput. 7(9): 1049-1060 (2007) - [c5]Amir Ghasemi, Elvino S. Sousa:
Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks. CCNC 2007: 1022-1026 - 2006
- [c4]Amir Ghasemi, Elvino S. Sousa:
Capacity of Fading Channels Under Spectrum-Sharing Constraints. ICC 2006: 4373-4378 - [c3]Amir Ghasemi, Elvino S. Sousa:
Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access. VTC Fall 2006: 1-6 - 2004
- [c2]Amir Ghasemi, Elvino S. Sousa:
Distributed intercell coordination through time reuse partitioning in downlink CDMA. WCNC 2004: 1992-1997 - [c1]Amir Ghasemi, Elvino S. Sousa:
Jointly optimal base station assignment for up- and downlink CDMA through space division duplex. WCNC 2004: 2226-2231
Coauthor Index
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last updated on 2024-10-13 17:58 CEST by the dblp team
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