Results 131 to 140 of about 28,726 (243)

Innovative methodology for flexible monitoring of various bioprocesses by using pre‐existing Raman data coupled with automated transfer learning technique

Biotechnology Progress, EarlyView.
The application of the transfer learning algorithm successfully allowed the use of a model built on process A for real‐time monitoring of process B. This study shows the improvement obtained with this methodology compared to the direct application of the model.
Adèle Schini, Hadi El Radi, Johan Cailletaud, Célia Sanchez, Nathan Gay, Bruno Ebel, Emmanuel Guedon, Laurent Jourdainne   +7 more
wiley   +1 more source

A Hybrid Millimeter-Wave Radar-Ultrasonic Fusion System for Robust Human Activity Recognition with Attention-Enhanced Deep Learning. [PDF]

Sensors (Basel)
Yao L, Chung KL, Tang L, Ye T, Wang S, Xu P, Bi Y, Wu Y.   +7 more
europepmc   +1 more source

Coupling of 0D/1D Grain Boundaries Inducing Extreme Charge Rearrangement/Magnetic Resonance for Ultrabroadband Electromagnetic Wave Absorption

Carbon Energy, EarlyView.
The 0D/1D grain boundary coupling between Fe₃O₄ quantum dots and CNTs induces extreme charge redistribution and short‐range magnetic resonance, enabling complete electromagnetic wave absorption across the entire X and Ku bands. ABSTRACT Ferrite–carbon composites effectively absorb electromagnetic (EM) waves via coupled mechanisms.
Jie Huang, Liuying Wang, Renbing Wu, Weichao Wang, Chaoqun Ge, Haoke Yang, Xu Tang, Wenyu Jiao, Gu Liu, Bin Wang   +9 more
wiley   +1 more source

Modulating Metal–Oxygen Bond Energy by Valence State Engineering in 2D High Entropy Oxides for Enhanced Water Electrolysis

Carbon Energy, EarlyView.
The competitive redox equilibrium among different elements in 2D HEO is regulated through temperature‐controlled pyrolysis of 2D HEHO, obtaining 2D HEO with a continuously adjustable valence state of Fe, Ni, Mo, Ru, and V elements, which modulate the strength of the metal–O bond and activate the LOM‐OVSM for OER.
Tian Wu, Shasha Gao, Runlin Ma, Rui Zhang, Chaolong Wang, Dong Guo, Die Lu, Zhihong Tian, Menggai Jiao, Zhen Zhou, Gonglei Shao   +10 more
wiley   +1 more source

Metasurface Enhanced Photothermal Cement Foam for Robust and High‐Throughput Seawater Desalination

Carbon Energy, EarlyView.
Schematic of 3D metasurface‐enhanced cement foam for robust and high‐throughput seawater desalination. This study presents a cement‐based solar evaporator (CSE) fabricated in one step via viscoelastic lithography with simple negative pressure. In addition to boosting solar‐to‐vapor conversion efficiency via excellent light‐harvesting capacity, the ...
Jianjun Guo, Zhenxing Du, Wenqiang Zuo, Zhangyu Wu, Wei She   +4 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

A novel deep learning approach for intrusion detection in maritime radar networks. [PDF]

Sci Rep
Shakil MMN, Hossain MA, Islam MS, Prasad Raju NVDSSV.   +3 more
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

Dynamic Feature Fusion for Sparse Radar Detection: Motion-Centric BEV Learning with Adaptive Task Balancing. [PDF]

Sensors (Basel)
Sang Y, Cui J, Sun Y, Zhang F, Li Y, Shi G.   +5 more
europepmc   +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