Results 181 to 190 of about 95,650 (334)

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Research on hybrid scheduling of time-sensitive flow in deterministic networking based on in-situ flow information telemetry

物联网学报
The development of Industry 4.0 and smart factories places higher demands on deterministic low latency and low jitter for network transmission. To address the issue of hybrid transmission of event-triggered flows and time-triggered flows in large-scale ...
CAI Yueping, WANG Shengkai, CHEN Chen, HAN Xiao   +3 more
doaj  

Economic dispatch of multimicrogrid interconnected system based on bilevel robust optimization. [PDF]

Sci Rep
Kang R, Ren Y, Miao S, Zhang K.
europepmc   +1 more source

Power-Material Storage and Scheduling Optimization via 6G-CPS and Deep Deterministic Policy Gradient

Jun Zhao, Zengchao Wang, Ming Su, Dongliang Wang, Hao Feng, Kefeng Li, Zihan Li   +6 more
openalex   +2 more sources

RRAM Variability Harvesting for CIM‐Integrated TRNG

Advanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende, Gokulnath Rajendran, Regina Dittmann, Anupam Chattopadhyay, Vikas Rana   +4 more
wiley   +1 more source

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]

Sci Rep
Raju LR, Reddy MVK, Surukanti SR, Sudhakar G, Subrahmanya Sarma M VV, Adepu A.   +5 more
europepmc   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

Advanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan, Luca Camillini, Francesca Borghi, Giovanni Galafassi, Paolo Milani   +4 more
wiley   +1 more source

A Reinforcement Learning-Based Framework for Tariff-Aware Load Shifting in Energy-Intensive Manufacturing. [PDF]

Sensors (Basel)
Leon-Medina JX, González Niño ME, Siachoque Celys CP, Umbarila Suarez B, Pozo F.   +4 more
europepmc   +1 more source

Deep Deterministic Policy Gradient Algorithm for Dynamic Task Scheduling in Edge-Cloud Environment Using Reinforcement Learning [PDF]

D. Mamatha Rani, Supreethi K P, Bipin Bihari Jayasingh   +2 more
openalex   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source