Results 281 to 290 of about 911,587 (343)

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

Exploration and future prospects of intelligent supervision technology and system development in biological laboratories. [PDF]

Sci Rep
Gao Y, Gu H, Ma Y.
europepmc   +1 more source

Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm. [PDF]

PeerJ Comput Sci
Guo Q, Li R, Zheng C, Jeon G.
europepmc   +1 more source

Evaluation of agricultural products e-commerce logistics service capabilities in Heilongjiang Province based on entropy weight TOPSIS method. [PDF]

PLoS One
Chen W, Chen H, Yin J, Sun W.
europepmc   +1 more source

AI-Powered Innovations in Food Safety from Farm to Fork. [PDF]

Foods
Yin B, Tan G, Muhammad R, Liu J, Bi J.
europepmc   +1 more source

Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. [PDF]

PLoS One
Xu K, Pan B, Zhang M, Zhang X, Hou X, Yu J, Lu Z, Zeng X, Jia Q.   +8 more
europepmc   +1 more source

Bionic Intelligent Interaction Helmet: A Multifunctional-Design Anxiety-Alleviation Device Controlled by STM32. [PDF]

Sensors (Basel)
Luo C, You Y, Zhang Y, Zhang B, Li N, Pan H, Zhang X, Wang C, Wang X.   +8 more
europepmc   +1 more source

Multi-agent systems, self-organization and constructivist learning for Cooperative Intelligent Transportation Systems modeling and control

, 2016
Maxime Guériau
openalex   +1 more source

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Joint Semantic-Instance Segmentation Method for Intelligent Transportation System

IEEE transactions on intelligent transportation systems (Print), 2023
Getting the point cloud data from sensors and correctly understanding the scene is the core of the intelligent transportation system. Point cloud segmentation can help intelligent transportation systems distinguish different objects in the scene.
Yujie Li, Jin-Lin Cai, Quan Zhou, Huimin Lu   +3 more
semanticscholar   +1 more source