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SleepXAI: An explainable deep learning approach for multi-class sleep stage identification.

, , , and . Appl. Intell., 53 (13): 16830-16843 (July 2023)

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Context-Aware RF-Energy Harvesting for IoT Networks., , and . WF-IoT, page 77-82. IEEE, (2021)Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders., , , and . HealthCom, page 94-99. IEEE, (2022)A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks., , , and . CCNC, page 1-4. IEEE, (2021)UAV Altitude Optimization for Efficient Energy Harvesting in IoT Networks., , and . NCC, page 350-355. IEEE, (2022)Optimal relay node selection in time-varying IoT networks using apriori contact pattern information., and . Ad Hoc Networks, (2020)Cooperative Network Model for Joint Mobile Sink Scheduling and Dynamic Buffer Management Using Q-Learning., and . IEEE Trans. Netw. Serv. Manag., 17 (3): 1853-1864 (2020)SleepXAI: An explainable deep learning approach for multi-class sleep stage identification., , , and . Appl. Intell., 53 (13): 16830-16843 (July 2023)Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning., , , and . WF-IoT, page 1-6. IEEE, (2022)Joint Mobile Sink Scheduling and Data Aggregation in Asynchronous Wireless Sensor Networks Using Q-Learning., , and . ICASSP, page 6438-6442. IEEE, (2018)Network-aware RF-energy harvesting for designing energy efficient IoT networks., , , and . Internet Things, (July 2023)