云南高校图书馆联盟文献共享服务平台- LEARNING

LEARNING: 作品数：3573被引量：5609H指数：28; 导出分析报告; 相关领域：文化科学更多>>; 相关作者：潘超吴峰梁玉芹王铁军桑新民更多>>; 相关机构：华东师范大学北京师范大学华南师范大学华中师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划北京市自然科学基金更多>>

Inspires effective alternatives to backpropagation:predictive coding helps understand and build learning: 《Neural Regeneration Research》2025年第11期3215-3216,共2页Zhenghua Xu Miao Yu Yuhang Song; supported by the National Natural Science Foundation of China,No.62276089。; Artificial neural networks are capable of machine learning by simulating the hiera rchical structure of the human brain.To enable learning by brain and machine,it is essential to accurately identify and correct the pr...; 关键词：ASSIGNMENT LEARNING enable

Regulator of G protein signaling 6 mediates exercise-induced recovery of hippocampal neurogenesis,learning,and memory in a mouse model of Alzheimer’s disease: 《Neural Regeneration Research》2025年第10期2969-2981,共13页Mackenzie M.Spicer Jianqi Yang Daniel Fu Alison N.DeVore Marisol Lauffer Nilufer S.Atasoy Deniz Atasoy Rory A.Fisher; supported by the National Institutes of Health,Nos.AA025919,AA025919-03S1,and AA025919-05S1(all to RAF).; Hippocampal neuronal loss causes cognitive dysfunction in Alzheimer’s disease.Adult hippocampal neurogenesis is reduced in patients with Alzheimer’s disease.Exercise stimulates adult hippocampal neurogenesis in rode...; 关键词：adult hippocampal neurogenesis Alzheimer’s disease dentate gyrus EXERCISE learning/memory neural precursor cells regulator of G protein signaling 6(RGS6)

Short-Term Prediction of Photovoltaic Power Based on Improved CNN-LSTM and Cascading Learning: 《Energy Engineering》2025年第5期1975-1999,共25页Feng Guo Chen Yang Dezhong Xia Jingxiang Xu; 2023 Sustainable Development Science and Technology Innovation Action Plan Project of Chongming District Science and Technology Committee,Shanghai(CKST2023-01);Shanghai Science and Technology Commission Funded Project(19DZ2254800).; Short-term photovoltaic(PV)power forecasting plays a crucial role in enhancing the stability and reliability of power grid scheduling.To address the challenges posed by complex environmental variables and difficulties...; 关键词：PV power prediction CNN-LSTM cascading learning ensemble learning dynamic expansion strategy

Multimodal Gas Detection Using E-Nose and Thermal Images:An Approach Utilizing SRGAN and Sparse Autoencoder: 《Computers, Materials & Continua》2025年第5期3493-3517,共25页Pratik Jadhav Vuppala Adithya Sairam Niranjan Bhojane Abhyuday Singh Shilpa Gite Biswajeet Pradhan Mrinal Bachute Abdullah Alamri; funded by the Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS),Faculty of Engineering and IT,University of Technology Sydney;supported by the Researchers Supporting Project,King Saud University,Riyadh,Saudi Arabia,under Project RSP2025 R14.; Electronic nose and thermal images are effective ways to diagnose the presence of gases in real-time realtime.Multimodal fusion of these modalities can result in the development of highly accurate diagnostic systems.T...; 关键词：Thermal imaging gas detection multimodal learning generative models autoencoders

A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection: 《Computers, Materials & Continua》2025年第5期1667-1681,共15页Xuejing Li; Few-shot point cloud 3D object detection(FS3D)aims to identify and locate objects of novel classes within point clouds using knowledge acquired from annotated base classes and a minimal number of samples from the nove...; 关键词：Contrastive learning few-shot learning point cloud object detection

Robust Detection for Fisheye Camera Based on Contrastive Learning: 《Computers, Materials & Continua》2025年第5期2643-2658,共16页Junzhe Zhang Lei Tang Xin Zhou; Fisheye cameras offer a significantly larger field of view compared to conventional cameras,making them valuable tools in the field of computer vision.However,their unique optical characteristics often lead to image d...; 关键词：FISHEYE contrastive learning Yolov8 ATTENTION

Working Together for Inter-Civilizational Exchange and Mutual Learning: 《China Today》2025年第5期32-36,共5页JIA GUIDE; Italy is a key member of the EU,and the China-Italy relationship is an important aspect of the China-EU relationship.; 关键词：mutual learning eu member china italy relationship inter civilizational exchange china eu relationship

Integration of Federated Learning and Graph Convolutional Networks for Movie Recommendation Systems: 《Computers, Materials & Continua》2025年第5期2041-2057,共17页Sony Peng Sophort Siet Ilkhomjon Sadriddinov Dae-Young Kim Kyuwon Park Doo-Soon Park; funded by Soonchunhyang University,Grant Numbers 20241422;BK21 FOUR(Fostering Outstanding Universities for Research,Grant Number 5199990914048).; Recommendation systems(RSs)are crucial in personalizing user experiences in digital environments by suggesting relevant content or items.Collaborative filtering(CF)is a widely used personalization technique that lever...; 关键词：Recommendation systems collaborative filtering graph convolutional networks federated learning framework

FHGraph:A Novel Framework for Fake News Detection Using Graph Contrastive Learning and LLM: 《Computers, Materials & Continua》2025年第4期309-333,共25页Yuanqing Li Mengyao Dai Sanfeng Zhang; supported by the National Key R&D Program of China(Grant No.2022YFB3104601);the Big Data Computing Center of Southeast University.; Social media has significantly accelerated the rapid dissemination of information,but it also boosts propagation of fake news,posing serious challenges to public awareness and social stability.In real-world contexts,t...; 关键词：Graph contrastive learning fake news detection data augmentation class imbalance LLM

FedCPS:A Dual Optimization Model for Federated Learning Based on Clustering and Personalization Strategy: 《Computers, Materials & Continua》2025年第4期357-380,共24页Zhen Yang Yifan Liu Fan Feng Yi Liu Zhenpeng Liu; supported by the Foundation of President of Hebei University(XZJJ202303).; Federated learning is a machine learning framework designed to protect privacy by keeping training data on clients’devices without sharing private data.It trains a global model through collaboration between clients a...; 关键词：Federated learning CLUSTER PERSONALIZATION OVERFITTING

LEARNING