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Showing 5 of 5 academic articles

Prioritized replay dueling double DQN for intelligent task scheduling in IoT Fog Cloud computing

Naima Jawhar, Adnane Talha, Anas Bouayad • Discover Artificial Intelligence (2026)

Abstract Task scheduling remains a challenge in IoT-Fog-Cloud systems due to dynamic workloads and heterogeneous resources. Ineffective scheduling strategies increase latency, energy consumption, and Service Level Agreement (SLA) violations...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02614-0

An optimized deep learning framework for temporally stable real-time face detection in unconstrained video streams

P. E. Janani Pappu, B. Devanthan • Discover Artificial Intelligence (2026)

Abstract Face detection in real-time video streams remains challenging because of dynamic variations in illumination, pose, motion blur, and partial occlusion. This paper proposes an optimized deep learning framework that integrates YOLOv12...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02275-z

An Efficient Distributed Reinforcement Learning Architecture for Long-Haul Communication Between Actors and Learner

Shin Morishima, Hiroki Matsutani • IEEE Access (2024)

A computing cluster that interconnects multiple compute nodes is used to accelerate distributed reinforcement learning that uses DQN (Deep Q-Network). In distributed reinforcement learning, actor nodes acquire experiences by interacting wit...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3402835

Personalized ideological content recommendation via reinforcement learning as a digital therapeutic for anxiety reduction in youth

Yu Wang • Discover Artificial Intelligence (2026)

Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01840-w