云南高校图书馆联盟文献共享服务平台- RESOURCE

RESOURCE: 作品数：970被引量：1565H指数：15; 导出分析报告; 相关领域：经济管理更多>>; 相关作者：陈兰杰曾华兰韦树谷叶鹏盛何炼更多>>; 相关机构：中国科学院清华大学北京大学东南大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Multi-Task ConvMixer Networks with Triplet Attention for Low-Resource Keyword Spotting: 《Tsinghua Science and Technology》2025年第2期875-893,共19页Alexander Rogath Kivaisi Qingjie Zhao Yuanbing Zou; supported by the Chinese Government Scholarship under China Scholarship Council.; Customized keyword spotting needs to adapt quickly to small user samples.Current methods primarily solve the problem under moderate noise conditions.Recent work increases the level of difficulty in detecting keywords ...; 关键词：KeyWord Spotting(KWS) multi-task learning cross-dimension attention low-resource mixed speech

Covalent organic framework materials with advanced topologies for efficient methane adsorption: 《Science China Materials》2025年第4期1298-1299,共2页Xuwen Peng Hao Zhang Hongbo Zeng; Methane,as the main component of natural gas,is a key transitional fuel resource due to its abundance and relatively low carbon emissions,aligning with global carbon neutrality objectives[1].Traditional natural gas st...; 关键词：natural gas carbon neutrality natural gasis covalent organic frameworks transitional fuel resource liquefied compressed natural gasrequire enhancing storage capacity reduced pressures methane adsorption

Application of Resource Orchestration Theory in the Research of AI and HI to Achieve Value Creation: 《Journal of Electronic Research and Application》2025年第2期7-11,共5页Ni Ran; This paper grasps the research theme of artificial intelligence(AI)and human intelligence(HI)synergy to create value,and analyzes the development status of AI and HI in the current context of digital intelligence,as w...; 关键词：Resource arrangement theory Artificial intelligence(AI)and human intelligence(HI)synergy Value creation

A review of event-triggered consensus control in multi-agent systems: 《Journal of Control and Decision》2025年第1期1-23,共23页Yihang Dou Guansheng Xing Aohua Ma Guanwu Zhao; supported by the National Natural Science Foundation of China[grant numbers 61503118,62006135].; Event-triggered control(ETC)of multi-agent systems(MASs)has been extensively investigated due to its advantages in conserving communication resources and reducing control frequency.This paper provides a systematic rev...; 关键词：Event-triggered consensus multi-agent systems resource utilisation Zeno behaviour finite-time control

2024 Annual Report of China Mineral Resources (copper, gold, coal, etc.): 《China Geology》2025年第1期235-236,共2页Li-qiong Jia Xi-jie Chen Zi-guo Hao; In October 2024,the Ministry of Natural Resources of PRC released the 2024 China Mineral Resources Report,which focuses on new progress since 2023 in the geological and mineral survey and evaluation,mineral resource e...; 关键词：GOLD COPPER RESOURCE

State Key Laboratory of Baiyun Obo Rare Earth Resource Researches and Comprehensive Utilization: 《China Rare Earth Information》2025年第1期F0002-F0002,共1页; State Key Laboratory of Baiyun Obo Rare Earth Resource Researches and Comprehensive Utilization was approved by the Ministry of Science and Technology to be one of the national key laboratories in November 2022.The la...; 关键词：key laboratories rare earth resource Ministry Science Technology state key laboratory Baiyun Obo rare earth resource researches comprehensive utilization rare earth resources reconstruction national key laboratories

Research on Data Resource Pricing Method Based on SSA-XGBoost Model: 《Journal of Systems Science and Information》2025年第1期116-136,共21页Jian YANG Yajuan CHEN Liwei CHANG Yali LÜ; Supported by the National Social Science Fund of China(23BJY205);the MOE(Ministry of Education in China)Project of Humanities and Social Sciences(21YJCZH197,22YJAZH080);Shanxi Provincial Research Foundation for Basic Research(202303021221184)。; Data pricing is a key link to promote the efficient circulation of data in the market.However,the existing methods are still insufficient in terms of pertinence,dynamism and comprehensiveness.Therefore,we proposed a d...; 关键词：data pricing lasso SSA-XGBoost machine learning

Empowering Sentiment Analysis in Resource-Constrained Environments:Leveraging Lightweight Pre-trained Models for Optimal Performance: 《Journal of Harbin Institute of Technology(New Series)》2025年第1期76-84,共9页V.Prema V.Elavazhahan; Sentiment analysis,a cornerstone of natural language processing,has witnessed remarkable advancements driven by deep learning models which demonstrated impressive accuracy in discerning sentiment from text across vari...; 关键词：sentiment analysis light weight models resource⁃constrained environment pre⁃trained models

Resource-efficient photonic networks for next-generation AI computing: 《Light(Science & Applications)》2025年第1期34-37,共4页Ilker Oguz Mustafa Yildirim Jih-Liang Hsieh Niyazi Ulas Dinc Christophe Moser Demetri Psaltis; Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms.Photonics-based systems offer high-speed,energy-efficient computing units,provided algorithms are desi...; 关键词：hardware AUTOMATA INTELLIGENCE

Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning: 《CSEE Journal of Power and Energy Systems》2024年第6期2621-2630,共10页Yufan Zhang Qian Ai Zhaoyu Li; supported by the National Key R&D Program of China(2021YFB2401203).; With the liberalization of the retail market,customers can sell their demand response(DR)resources to the distribution company(Disco)through the DR aggregator(DRA).In this paper,an intelligent DR resource trading fram...; 关键词：Demand response economic interaction reinforcement learning stackelberg game UNCERTAINTY

RESOURCE