Coordinating electric vehicle charging with multiagent deep Q-networks for smart grid load balancing
LP Maguluri, A Umasankar, DV Babu… - … Informatics and Systems, 2024 - Elsevier
Abstract Integrating EVs (Electric Vehicles) with the electrical system presents essential load
distribution difficulties because EV recharging structures are unpredictable and variable …
distribution difficulties because EV recharging structures are unpredictable and variable …
[HTML][HTML] Privacy-Preserving Deep Learning Approaches for Effective Utilization of Wearable Health Data
Wearable technology can significantly impact human existence by allowing for innovative
perspectives on the outside world, such as through the use of augmented reality (AR) …
perspectives on the outside world, such as through the use of augmented reality (AR) …
[HTML][HTML] Investigation of Medication Reviews and the Identification of Adverse Drug Reactions using Machine Learning Algorithms
D Mohanapriya, J Chepur, DS Hirolikar… - Measurement …, 2024 - Elsevier
The social networks for medicine allow users to share reviews on the drugs they have used.
The medical and pharmaceutical industries can be guided by the arrangement of patient …
The medical and pharmaceutical industries can be guided by the arrangement of patient …
Student's Emotion Recognition using Multimodality and Deep Learning
M Kalaiyarasi, BVV Siva Prasad, JVN Ramesh… - ACM Transactions on … - dl.acm.org
The goal of emotion detection is to find and recognise emotions in text, speech, gestures,
facial expressions, and more. This paper proposes an effective multimodal emotion …
facial expressions, and more. This paper proposes an effective multimodal emotion …