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Amir Ghasemi
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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
A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems - Case: Semiconductor manufacturing. Comput. Oper. Res. 163: 106508 (2024) - [j15]Amir Ghasemi
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
Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges. IEEE Access 11: 99680-99692 (2023) - [j13]Mohammad Parvini, Amir Hossein Zarif
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
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
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
Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling. WSC 2022: 3406-3417 - 2021
- [j11]Amir Ghasemi
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
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
IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process. IEEE Internet Things J. 6(2): 1911-1919 (2019) - [j8]Zahra Dehghani Arani
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
A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems. WSC 2018: 3672-3683 - [c12]Amir Ghasemi
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
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
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 2024-10-12 22:57 CEST by the dblp team
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