Results 111 to 120 of about 324,009 (309)

Improvement of continuous emotion recognition of temporal convolutional networks with incomplete labels

IET Image Processing
Video‐based emotion recognition has been a long‐standing research topic for computer scientists and psychiatrists. In contrast to traditional discrete emotional models, emotion recognition based on continuous emotional models can better describe the ...
Zheyu Wang, Jieying Zheng, Feng Liu
doaj   +1 more source

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Advanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş, Mahshid Reshadsedghi, Mustafa Şen, Volkan Kılıç, Nesrin Horzum   +4 more
wiley   +1 more source

Social‐ATPGNN: Prediction of multi‐modal pedestrian trajectory of non‐homogeneous social interaction

IET Computer Vision
With the development of automatic driving and path planning technology, predicting the moving trajectory of pedestrians in dynamic scenes has become one of key and urgent technical problems. However, most of the existing techniques regard all pedestrians
Kehao Wang, Han Zou
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Convolutional neural nets with hyperparameter optimization and feature importance for power system static security assessment

Electric power systems research, 2022
M. Ramirez-Gonzalez, F. R. Segundo Sevilla, P. Korba, R. Castellanos-Bustamante   +3 more
semanticscholar   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

DEUFormer: High‐precision semantic segmentation for urban remote sensing images

IET Computer Vision
Urban remote sensing image semantic segmentation has a wide range of applications, such as urban planning, resource exploration, intelligent transportation, and other scenarios.
Xinqi Jia, Xiaoyong Song, Lei Rao, Guangyu Fan, Songlin Cheng, Niansheng Chen   +5 more
doaj   +1 more source

Spatial Coordination Structure‐Driven Enzyme‐Like Selectivity in Single‐Atom Nanozymes

Advanced Materials, EarlyView.
Sun et al. reviews recent progress in enhancing the enzyme‐like catalytic selectivity of SAzymes through the rational design of their spatial coordination structures. They emphasize the structure‐activity relationships of various attributes of these coordination structures in promoting selective catalytic behavior, the strategic design of coordination ...
Qijun Sun, Si Liu, Ziping Li, Peiji Deng, Na Niu, Ligang Chen, Kang Liang   +6 more
wiley   +1 more source

High precision light field image depth estimation via multi‐region attention enhanced network

IET Computer Vision
Light field (LF) depth estimation is a key task with numerous practical applications. However, achieving high‐precision depth estimation in challenging scenarios, such as occlusions and detailed regions (e.g.
Jie Li, Wenxuan Yang, Chuanlun Zhang, Heng Li, Xinjia Li, Lin Wang, Yanling Wang, Xiaoyan Wang   +7 more
doaj   +1 more source

DETECTION OF CLOUDS IN MEDIUM-RESOLUTION SATELLITE IMAGERY USING DEEP CONVOLUTIONAL NEURAL NETS [PDF]

, 2022
A. Hasan, C. Witharana, M. R. Udawalpola, A. K. Liljedahl   +3 more
openalex   +1 more source