Results 131 to 140 of about 11,686 (251)

A Novel Waveform Optimization Method for Orthogonal-Frequency Multiple-Input Multiple-Output Radar Based on Dual-Channel Neural Networks. [PDF]

Sensors (Basel)
Xia M, Gong W, Yang L.
europepmc   +1 more source

Issue Construals and Corporate Water Stewardship

Business Strategy and the Environment, EarlyView.
ABSTRACT In the face of mounting environmental and social pressures, the importance of responsible corporate water stewardship (CWS) should be evident, yet not all businesses are taking water management issues seriously. The aim of this study is to explore why differences in CWS persist, especially within industries facing similar resource challenges ...
Daina Mazutis, Mohamed Chelli, Sharon OSullivan, Katherine Hanly   +3 more
wiley   +1 more source

Unfolded RPCA Network for Mitigating Inter-Transmitter Code Interference in MIMO PMCW Systems. [PDF]

Sensors (Basel)
Lee Y, Lee JH, Lee S.
europepmc   +1 more source

Circular Economy in Food Supply Chains: Comprehending the Paradigm and Redefining Future Research Through a Multidisciplinary Review of Reviews

Business Strategy and the Environment, EarlyView.
ABSTRACT The inefficiencies of the global food system necessitate a shift towards a circular economy (CE) in food supply chains (FSCs). While research on CE in FSCs spans multiple disciplines, it often remains siloed within respective disciplinary boundaries, limiting its practical impact.
Lovish Raheja, Pankaj Dutta, Ananya Bhattacharya   +2 more
wiley   +1 more source

Advances in Sensor-Based Technologies for Health, Aging, and Intelligent Care. [PDF]

Sensors (Basel)
Liu L, Miguel Cruz A.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 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

A Radar-Based Contactless System for Joint Phonocardiogram Reconstruction and Cardiac State Segmentation Using a Self-Attention 1D U-Net. [PDF]

Sensors (Basel)
Montanari G, Mura M, Di Viesti P, Vignoli E, Guerzoni G, Vitetta GM.   +5 more
europepmc   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Radar Resolution Enhancement Based on Burg-Aided MIMO-DBS and Burg-Aided MIMO-SAR. [PDF]

Sensors (Basel)
Bekar M, Bekar A, Pirkani A, Baker CJ, Gashinova M.   +4 more
europepmc   +1 more source