Results 201 to 210 of about 1,718,101 (355)

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +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

Whole Image Average Pooling-Based Convolution Neural Network Approach For Brain Tumour Classification

Neural Computing & ApplicationsThe convolutional neural network has been proven to be a robust recognition and diagnosis model for modelling diseases.

core   +1 more source

A Convolutional Neural Network for Network Intrusion Detection System [PDF]

, 2018
System administrators can benefit from deploying Network Intrusion Detection Systems (NIDS) to find potential security breaches. However, security attacks tend to be unpredictable.
Mohammadpour, Leila; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia, Chong, Chun Yong; School of Information Technology, Monash University Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia, Ling, Teck Chaw; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia, Liew, Chee Sun; Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia   +3 more
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing

Advanced Science, EarlyView.
α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin, Ji Won Heo, TaeWan Kim, Hagyoul Bae   +12 more
wiley   +1 more source

Large‐Scale Quantitative Morphometry of Platelet α‐Granules via SIM Super‐Resolution Microscopy for Cancer Liquid Biopsy

Advanced Science, EarlyView.
ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma, Huan Deng, Zelin Liu, Simei Zhong, Liangliang Wang, Mu He, Ning Jing, Lihua Dai, Yuzhen Basang, Xiao‐Yu Hu, Changyi Zhang, Huimin Zeng, Haoren Shao, Zhe Yang, Shanshan Zhao, Xiaohai Hu, Chuanjie Zhang, Xiaowei Wu, Jing Xu, Shaoqun Zeng, Jing Yuan, Qiang Li, Ziwei Qu, Zhenya Hong, Lingjuan Chen, Hanhua Dong, Jia Guo, Zhiqiang Han, Yu‐Hui Zhang   +28 more
wiley   +1 more source

Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing

Advanced Science, EarlyView.
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia, Heming Lin, Hongliang Chang, Wenqing Niu, Yue Wang, Hang Lu, Abdullah AlQuwayzani, Yara Banda, Long Chen, Qingxiao Wang, Bambar Davaasuren, Mohamed Ben Hassine, Tien Khee Ng, Boon S. Ooi   +13 more
wiley   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source