A hybrid RL-GA-LSTM-AE framework for energy-aware and SLA-driven task scheduling in cloud computing environments. [PDF]
Narsimhulu B, Kumar TS.
europepmc +1 more source
MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong +9 more
wiley +1 more source
A Systematic Review of Federated and Cloud Computing Approaches for Predicting Mental Health Risks. [PDF]
Fiaz I, Kanwal N, Al-Said Ahmad A.
europepmc +1 more source
Cloud Networking Computing [PDF]
Jonghun Kim +3 more
openaire +1 more source
A hierarchically structured Fe‐BTC‐PMA immobilized 3D‐printed platform is engineered as a robust artificial enzyme for colorimetric glucose sensing. The hybrid architecture efficiently activates H2O2 to drive TMB oxidation. This integrated system enables sensitive, reusable, and scalable detection with enhanced catalytic stability and analytical ...
Paramita Koley +10 more
wiley +1 more source
IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]
Raju LR +5 more
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
E-Research Institutional Cloud Architecture (ERICA): An Orchestration Meta-Framework for Establishing Trusted Research Environments Using Public Cloud Computing. [PDF]
Churches TR +4 more
europepmc +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
Fair-efficient allocation mechanism with meta-types resources in cloud computing. [PDF]
Zhang F, Shi C.
europepmc +1 more source

