Results 151 to 160 of about 301,956 (288)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Pedestrian Detection Algorithm for Intelligent Vehicles in Complex Scenarios. [PDF]

Sensors (Basel), 2020
Cao J, Song C, Peng S, Song S, Zhang X, Shao Y, Xiao F.   +6 more
europepmc   +1 more source

scResponse: A Rank‐Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single‐Cell Data

Advanced Science, EarlyView.
Although the tumor microenvironment is known to shape immunotherapy response, its key determinants remain elusive, underscoring the critical need for single‐cell resolution analytical frameworks. We present scResponse, an efficient algorithm to quantify single‐cell responses to immunotherapy. By capturing diverse cellular subtypes and states associated
Qi Dong, Haijun Huang, Yuxiu Wang, Bo Jiang, Yuzheng Chen, Huanhuan Xu, Jing Ren, Shengnan Guo, Tianhao Li, Mingjie Zhang, Tianyu Zhai, Wenbo Yang, Kaidong Liu, Cheng Lyu, Jingxuan Kang, Mingshuo Zhang, Yupeng Lu, Binghui Si, Shujun Cao, Dandan Xu, Zong Chen, Dapeng Hao   +21 more
wiley   +1 more source

Near obstacles detection by inverse perspective mapping of AVM for intelligent vehicles. [PDF]

PLoS One
Zhou Z, Liao Y, Wang B, Wang M, Fu M, Hu Z.   +5 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Research on Takeover Safety of Intelligent Vehicles Based on Accident Scenarios in Real-Vehicle Testing. [PDF]

Sensors (Basel)
Li P, Zhou M, Xu C, Li H, Hu W, Tan Z, Xiao L, Mou X, Feng H.   +8 more
europepmc   +1 more source

Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles. [PDF]

Sensors (Basel), 2020
Choi GH, Lim K, Pan SB.
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Evolution mechanism and progressive reshaping model of driving behaviors when humans take over intelligent vehicles. [PDF]

Commun Eng
Zhang Z, Wang C, Luan Z, Zhao W.
europepmc   +1 more source

Track-to-Track Association for Intelligent Vehicles by Preserving Local Track Geometry. [PDF]

Sensors (Basel), 2020
Zou K, Zhu H, De Freitas A, Li Y, Najafabadi HE.   +4 more
europepmc   +1 more source