Results 101 to 110 of about 482 (253)

Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions

Remote Sensing
To address the issue associated with poor accuracy rates for specific emitter identification (SEI) under low signal-to-noise ratio (SNR) conditions, where the single-dimension radar signal characteristics are severely affected by noise, we propose an ...
Zehuan Jing, Peng Li, Bin Wu, Erxing Yan, Yingchao Chen, Youbing Gao   +5 more
doaj   +1 more source

Connecting Thoughts and Actions: A Managerial Process Model on Circular Business Model Innovation

Business Strategy and the Environment, EarlyView.
ABSTRACT Addressing environmental grand challenges such as resource scarcity requires circular business model innovation (CBMI) that enables firms to efficiently close and slow resource cycles through novel activity systems. Drawing on a grounded theory approach based on 59 in‐depth interviews with top managers from Swiss SMEs, we developed a process ...
Fabian Takacs, Karolin Frankenberger
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

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

Radar signal deinterleaving in open‐set environments based variational autoencoder with probabilistic ladder structure

IET Radar, Sonar & Navigation
In the field of electronic reconnaissance, deinterleaving techniques for radar signals are crucial. Although a large number of studies have been devoted to the classification of known radar signals by recurrent neural networks under closed set conditions,
Huibo Sun, Kai Xie
doaj   +1 more source

Application of Data Particle Geometrical Divide Algorithms in the Process of Radar Signal Recognition. [PDF]

Sensors (Basel), 2023
Dudczyk J, Rybak Ł.
europepmc   +1 more source

Advancing Upcycling and Regeneration of Spent LiFePO4: Failure Mechanisms and Recovery Strategies

Carbon Energy, EarlyView.
This review studies the failure mechanism to promote the upcycling regeneration of spent lithium iron phosphate (S‐LFP). It first summarizes the failure mechanisms of LFP batteries revealed via advanced characterization technologies and then explores the respective advantages and challenges of hydrometallurgy and direct regeneration methods.
Yi Wang, Xue Liu, Wen Luo, Rui Xu, Ze Wang, Jean‐Jacques Gaumet, Liqiang Mai   +6 more
wiley   +1 more source

Kirkendall‐Effect‐Mediated Hollow Bimetallic Hexacyanoferrates for Aqueous Zn‐Ion Batteries: Suppressing Jahn–Teller Distortions and Enhancing Ion Transport and Cyclability

Carbon Energy, EarlyView.
Kirkendall‐engineered hollow Ni–Mn hexacyanoferrates feature Ni‐tunable shell thickness and uniform alloying, coupling architectural control with electronic stabilization. Composition–morphology co‐optimization suppresses Mn³⁺‐driven Jahn–Teller distortions and lowers charge‐transfer barriers, enabling rapid Zn²⁺ transport and reversible redox.
Jihong Kim, Nayeon Shin, Byung Do Lee, Sung Min Wi, Sohyeon Park, Woon Bae Park, Younghyun Cho, Wook Ahn, Jaehan Lee, Jong Bae Park, Juwon Lee, Sangyeon Pak, Young‐Woo Lee   +12 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

Radar emitter recognition using hierarchical feature extraction within magnitude and frequency domains

, 2019
Theoretical thesis.Includes bibliographical references.1 Introduction -- 1.1 Radar Emitter Recognition Beginnings -- 1.2 Traditional Features in Early Radar Detection -- 1.3 Extracting Features from Spectrogram Samples -- 1.4 Overview -- 2 Literature ...
Newport, Robert A
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