Results 131 to 140 of about 323,609 (233)

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Algorithmic trading on financial time series using Deep Reinforcement Learning [PDF]

Alireza Asghari, Nasser Mozayani
openalex   +1 more source

Deep Reinforcement Learning for Electric Vehicle Charging Navigation: A Price-Aware Strategy

, 2023
Ali Can Erüst, Fatma Yıldız Taşçıkaraoğlu   +1 more
openalex   +1 more source

Deep Reinforcement Learning for Autonomous Driving Systems [PDF]

Sanskar Jadhav -, Vedant Sonwalkar -, Shweta Shewale -, Pranav Shitole -, Samarth Bhujadi -   +4 more
openalex   +1 more source

Deep Reinforcement Learning for Artificial Upwelling Energy Management

, 2023
Yiyuan Zhang, W. J. Fan, Zhiyu Zou, Junjie Zhang, Yonggang Zhao   +4 more
openalex   +1 more source

A Deep Reinforcement Learning based Scheduler for IoT Devices in Co-existence with 5G-NR [PDF]

Shahida Jabeen
openalex   +1 more source

Deep reinforcement learning for scheduling in large-scale networked\n control systems [PDF]

, 2019
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo   +2 more
openalex   +1 more source

Enhancing knowledge graph recommendations through deep reinforcement learning. [PDF]

Sci Rep
Zhou J, Shen D, Guo Y, Zhao Y, Zhang H.
europepmc   +1 more source

Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach

Odia A. Talab, İsa Avcı
openalex   +1 more source

Hierarchical Deep Reinforcement Learning for Multi-Objective Integrated Circuit Physical Layout Optimization With Congestion-Aware Reward Shaping

Haijian Zhang, Yao Ge, Xiuyuan Zhao, Jiyuan Wang   +3 more
openalex   +1 more source