Követés
Sarder Fakhrul Abedin
Sarder Fakhrul Abedin
További nevekS.F. Abedin
Senior Lecturer, Department of Computer and Electrical Engineering (DET), Mid Sweden University
E-mail megerősítve itt: miun.se - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Industrial IoT in 5G-and-beyond networks: Vision, architecture, and design trends
A Mahmood, L Beltramelli, SF Abedin, S Zeb, NI Mowla, SA Hassan, ...
IEEE Transactions on Industrial Informatics 18 (6), 4122-4137, 2021
2142021
A system model for energy efficient green-IoT network
SF Abedin, MGR Alam, R Haw, CS Hong
2015 International Conference on Information Networking (ICOIN), 177-182, 2015
1472015
Resource allocation for ultra-reliable and enhanced mobile broadband IoT applications in fog network
SF Abedin, MGR Alam, SMA Kazmi, NH Tran, D Niyato, CS Hong
IEEE Transactions on Communications 67 (1), 489-502, 2018
1462018
Data freshness and energy-efficient UAV navigation optimization: A deep reinforcement learning approach
SF Abedin, MS Munir, NH Tran, Z Han, CS Hong
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5994-6006, 2020
1202020
A Fog based System Model for Cooperative IoT Node Pairing using Matching Theory
SF Abedin, MGR Alam, NH Tran, CS Hong
Asia-Pacific Network Operations and Management Symposium (APNOMS), 2015, 2015
912015
QoE-enabled unlicensed spectrum sharing in 5G: A game-theoretic approach
AK Bairagi, SF Abedin, NH Tran, D Niyato, CS Hong
IEEE Access 6, 50538-50554, 2018
862018
Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network
MGR Alam, SF Abedin, SI Moon, A Talukder, CS Hong
IEEE Access 7, 75189-75202, 2019
722019
When edge computing meets microgrid: A deep reinforcement learning approach
MS Munir, SF Abedin, NH Tran, CS Hong
IEEE Internet of Things Journal 6 (5), 7360-7374, 2019
682019
Elastic O-RAN slicing for industrial monitoring and control: A distributed matching game and deep reinforcement learning approach
SF Abedin, A Mahmood, NH Tran, Z Han, M Gidlund
IEEE Transactions on Vehicular Technology 71 (10), 10808-10822, 2022
522022
Factory 5G: A Review of Industry-Centric Features and Deployment Options
A Mahmood, SF Abedin, T Sauter, M Gidlund, K Landernas
IEEE Industrial Electronics Magazine, 2022
502022
Risk-aware energy scheduling for edge computing with microgrid: A multi-agent deep reinforcement learning approach
MS Munir, SF Abedin, NH Tran, Z Han, EN Huh, CS Hong
IEEE Transactions on Network and Service Management 18 (3), 3476-3497, 2021
432021
Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach
SF Abedin, AK Bairagi, MS Munir, NH Tran, CS Hong
IEEE Access 7, 4204-4218, 2018
422018
Experimental Analysis of Trustworthy In-Vehicle Intrusion Detection System Using eXplainable Artificial Intelligence (XAI)
H Lundberg, NI Mowla, SF Abedin, K Thar, A Mahmood, M Gidlund, ...
IEEE Access 10, 102831-102841, 2022
362022
Web of Objects Based Ambient Assisted Living Framework for Emergency Psychiatric State Prediction
MGR Alam, SF Abedin, M Al Ameen, CS Hong
Sensors 16 (9), 1431, 2016
342016
Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques
SU Minhaj, A Mahmood, SF Abedin, SA Hassan, MT Bhatti, SH Ali, ...
IEEE Access 11, 10092-10106, 2023
332023
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective
AK Bairagi, M Masud, MS Munir, AA Nahid, SF Abedin, KM Alam, ...
IEEE Access 8, 215570-215581, 2020
322020
Intelligent service fulfillment for software defined networks in smart city
MS Munir, SF Abedin, MGR Alam, NH Tran, CS Hong
2018 International Conference on Information Networking (ICOIN), 516-521, 2018
322018
EM-Psychiatry: an ambient intelligent system for psychiatric emergency
MGR Alam, R Haw, SS Kim, MAK Azad, SF Abedin, CS Hong
IEEE Transactions on Industrial Informatics 12 (6), 2321-2330, 2016
322016
RNN based Energy Demand Prediction for Smart-Home in Smart-Grid Framework
MS Munir, SF Abedin, MGR Alam, DH Kim, CS Hong
Korea Software Congress, 437-439, 2017
222017
Internet of things network system using fog computing network
CS Hong, SW Lee, FA Sarder
US Patent App. 14/634,049, 2016
222016
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