Results 61 to 70 of about 5,951 (240)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
This study investigates the intricate relationship between electricity consumption in smart office environments, temporal elements such as time, and external factors such as weather conditions.
Zikri Wahyuzi, Ahmad Luthfi, Dhomas Hatta Fudholi   +2 more
doaj   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors

Journal of Harbin University of Science and Technology
Aiming at the problems of multiple data sources, multiple data modes, high data dimensions, large redundancy, small and unbalanced sample size, and difficulty in obtaining a large number of labeled data required for training, a deep bidirectional gated ...
PAN Ming, ZHENG Jingsong, LI Jinliang, FANG Long, YANG Yang, ZHAO Shijie   +5 more
doaj   +1 more source

Bias‐Tunable Two‐Terminal Organic Photodetector for Intelligent Imaging

Advanced Science, EarlyView.
A vertically stacked two‐terminal photodetector with a symmetric donor–acceptor–donor trilayer active exhibits reconfigurable photoresponse with bias‐tunable magnitude and polarity, together with sub‐millisecond response speed and a wide tunable output window.
Sangin Hahn, Sanghoon Park, Seunghyup Yoo   +2 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Text sentiment analysis and classification based on bidirectional Gated Recurrent Units (GRUs) model

Applied and Computational Engineering
This paper explores the importance of text sentiment analysis and classification in the field of natural language processing, and proposes a new approach to sentiment analysis and classification based on the bidirectional gated recurrent units (GRUs) model.
Wei Xu, Jianlong Chen, Zhicheng Ding, Jinyin Wang   +3 more
openaire   +2 more sources

Beyond Potency: Emerging Determinants and Optimization Strategies Enhancing Therapeutic Efficacy of Adult Stem Cells

Advanced Science, EarlyView.
Adult stem cell therapy requires more than high in vitro potency. This review proposes a systems framework in which cell‐intrinsic programs, instructive microenvironmental cues, and pre‐/post‐delivery engineering are co‐designed under standardized translational rules.
Soo‐Rim Kim, Yun Jae Jung, Hwa‐Yong Lee   +2 more
wiley   +1 more source

A novel approach for recommendation using optimized bidirectional gated recurrent unit

International Journal of Electrical and Computer Engineering (IJECE)
In today's world, every one of us refreshes our mood and gets energy through entertainment and enjoyment. Human nature is to provide feedback through ratings or comments for products used, services received, or films viewed. The recommendation system serves the user with recommendations based on historical stored information of user preferences.
Prakash Pandharinath Rokade, Swati Babasaheb Bhonde, Prashant Laxmanrao Paikrao, Umesh Baburao Pawar   +3 more
openaire   +1 more source