Results 51 to 60 of about 457 (225)

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

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

An Estimation of Signal Emitter Parameters from the Amplitude Measurements by an ESM Receiver

Advances in Electrical and Computer Engineering
In passive radar data processing, some emitter parameters can be extracted from the amplitude data measured by an Electronic Support Measures (ESM) receiver over a specific time.
PHAM, V. T., HUBACEK, P.
doaj   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source

Deep representation method for radar emitter signal using wavelet packets decomposition

The Journal of Engineering, 2019
Signal representation is to transform the intercepted original signal into feature parameters, which is the basis for the electronic reconnaissance system to analyse and identify a radar.
Yang Cao, Jin Liang Bai, Hongbo Li, Jian Zhao, Shuo Liu, Zhiyong Gao   +5 more
doaj   +1 more source

Innovating for Net‐Zero: Collaborative and Digital Decarbonisation Strategies in Sunset Industries' Global Value Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal, Narain Gupta, Ashem Emmanuel Egila, Jianwen Zheng, Attique ur Rehman, Justin Zuopeng Zhang, Remsei Sándor   +6 more
wiley   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Cognitive Electronic Warfare Application to Emitter Identification Process in Airborne Radar Warning Receiver Systems

Electrica
Cognitive electronic warfare (CEW) will soon replace conventional electronic warfare (EW) systems in the operational area. Although the CEW concept is utilized on various platforms, it has primarily emerged in military air platforms.
İclal Çetin Taş, Ahmet Güngör Pakfiliz   +1 more
doaj   +1 more source

Multifunctional Design of Solid Polymer Electrolytes: Paving the Way for High‐Performance All‐Solid‐State Batteries

Carbon Energy, EarlyView.
This review provides a comprehensive and systematic overview of the multifunctional design strategies for solid polymer electrolytes (SPEs), a pivotal component for enabling high‐performance all‐solid‐state batteries (ASSBs). It begins with a detailed classification of SPE systems and elaborates on their respective molecular design principles. The work
Bin Man, Yuzhen Zhao, Bo Fu, Yulong Zeng, Yinwen Chen, Qingrui Liu, Wenjing Luo, Xin Li, Xuewei Li, Zikang Zhang, Yun Zheng, Sijie Liu   +11 more
wiley   +1 more source