Results 41 to 50 of about 213,596 (287)

IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks

Sensors
Network pruning is a deep learning model compression technique aimed at reducing model storage requirements and decreasing computational resource consumption.
Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang   +5 more
doaj   +1 more source

Predictive cruise control for 4WD electric vehicle based on dynamic weight factors

Energy Reports, 2022
By computing the velocity trajectory based on the advancing road and traffic information, the predictive cruise control (PCC) system can significantly reduce vehicle energy consumption.
Dongmei Wu, Quan Yuan, Changqing Du, Fuwu Yan, Yang Li   +4 more
doaj   +1 more source

A Solvent‐Free, Dry‐Processed Li‐Ion Battery Enabled by Dual Binders and Nanostructured Aluminum Current Collectors

Advanced Functional Materials, EarlyView.
A dual‐binder dry‐processed electrode (DB‐DPE) combining PTFE and PVDF with a nanostructured Al current collector (NSA) forms a mechanically interlocked interface that significantly improves adhesion and reduces interfacial resistance. With an active material content as high as 96 wt.%, the NSA‐based DB‐DPE enables high‐mass‐loading operation (12.5 mAh
Seok Yun Kim, Tae‐Kyung Liu, Hae Seong Kim, Dong Hwan Wang, Jong Hyeok Park   +4 more
wiley   +1 more source

Solvent‐Free Bonding Mechanisms and Microstructure Engineering in Dry Electrode Technology for Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang, Hao Long, Zimo Huang, Ting He, Xueming Chen, Meng Li, Hao Chen, Shanqing Zhang   +7 more
wiley   +1 more source

An improved potentiometric method for the measurement of entropy coefficient of lithium-ion battery based on positive adjustment

Energy Reports, 2022
The entropy coefficient (dUOC/dT) is an important parameter for predicting the heat generation of lithium-ion batteries (LiBs), especially under low-rate conditions. The potentiometric method is generally used to measure the entropy coefficient, which is
Zhenfeng Lin, Dongmei Wu, Changqing Du, Zhong Ren   +3 more
doaj   +1 more source

Perceived Risks toward In-Vehicle Infotainment Data Services on Intelligent Connected Vehicles

Systems, 2022
With the evolution of Internet of Vehicles (IoV) and intelligent transportation systems, intelligent connected vehicles (ICV) are becoming the trend in automobile industry worldwide. Assisted by road-side infrastructure and vehicle-mounted sensors, in-vehicle infotainment (IVI) data services are gradually growing more popular with drivers and ...
Zhiyuan Yu, Kexin Cai
openaire   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

DCAN: Dynamic Channel Attention Network for Multi-Scale Distortion Correction

Sensors
Image distortion correction is a fundamental yet challenging task in image restoration, especially in scenarios with complex distortions and fine details.
Jianhua Zhang, Saijie Peng, Jingjing Liu, Aiying Guo   +3 more
doaj   +1 more source

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

, 2018
Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based algorithms suffer from the problem that the convolutional features are scale-
Chen, Hao, He, Shengfeng, Heng, Pheng-Ann, Hu, Xiaowei, Qin, Jing, Xiao, Yongjie, Xu, Xuemiao   +6 more
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source