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作品数：1046被引量：1208H指数：13
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Machine Learning Model for Wind Power Forecasting Using Enhanced Multilayer Perceptron
《Computers, Materials & Continua》2025年第5期2287-2303,共17页Ahmed A.Ewees Mohammed A.A.Al-Qaness Ali Alshahrani Mohamed Abd Elaziz 
the Deanship of Graduate Studies and Scientific Research at University of Bisha,Saudi Arabia for funding this research work through the Promising Program under Grant Number(UB-Promising-42-1445).
Wind power forecasting plays a crucial role in optimizing the integration of wind energy into the grid by predicting wind patterns and energy output.This enhances the efficiency and reliability of renewable energy sys...
关键词：Wind power forecasting multilayer perceptron fire hawk optimizer non-monopolize search 
Improved Bidirectional JPS Algorithm for Mobile Robot Path Planning in Complex Environments
《Computers, Materials & Continua》2025年第4期1347-1366,共20页Zhaohui An Changyong Li Yong Han Mengru Niu 
supported by the Xinjiang Uygur Autonomous Region Central Guided Local Science and Technology Development Fund Project(No.ZYYD2025QY17).
This paper introduces an Improved Bidirectional Jump Point Search(I-BJPS)algorithm to address the challenges of the traditional Jump Point Search(JPS)in mobile robot path planning.These challenges include excessive no...
关键词：Bidirectional jump search heuristic function bezier curve dynamic window method path planning 
Space-based optical lattice clocks as gravitational wave detectors in search for new physics
《Science China(Physics,Mechanics & Astronomy)》2025年第4期244-252,共9页Bo Wang Bichu Li Qianqian Xiao Geyu Mo Yi-Fu Cai 
supported by the National Key Research and Development Program of China(Grant Nos.2024YFC2207500 and 2021YFC2203100);the CAS Young Interdisciplinary Innovation Team(Grant No.JCTD-2022-20);the Fundamental Research Funds for Central Universities;the National Natural Science Foundation of China(Grant Nos.92476203,12433002 and12261131497);the 111 Project(Grant No.B23042);the CSC Innovation Talent Funds;the USTC Fellowships for International Cooperation;the USTC Research Funds of the Double First-Class Initiative。
We investigate the sensitivity and performance of space-based optical lattice clocks(OLCs)in detecting gravitational waves,in particular the stochastic gravitational wave background(SGWB)at low frequencies(10^(-4),1)H...
关键词：gravitational wave detectors optical lattice clocks stochastic gravitational background 
3D self-rectifying memristive ternary content addressable memory for massive and exact in-memory search
《Science China(Information Sciences)》2025年第3期401-402,共2页Yingjie YU Shengguang REN Ling YANG Yi LI Xiangshui MIAO 
supported by National Key Research and Development Plan of MOST of China(Grant No.2022YFB4500101);Natural Science Foundation of Hubei Province(Grant Nos.2024AFA043,2023AFB335);Fundamental Research Funds for the Central Universities(Grant No.HUST:5003190012)。
Ternary content addressable memory(TCAM)enables high-speed parallel in-situ pattern matching[1],serving as the key processing unit for an efficient in-memory search system,which is widely studied in areas such as rout...
关键词：CONTENT MASSIVE EXACT 
Demonstration-enhanced policy search for space multi-arm robot collaborative skill learning
《Chinese Journal of Aeronautics》2025年第3期462-473,共12页Tian GAO Chengfei YUE Xiaozhe JU Tao LIN 
co-supported by the National Natural Science Foundation of China(No.12372045);the Guangdong Basic and Applied Basic Research Foundation,China(No.2023B1515120018);the Shenzhen Science and Technology Program,China(No.JCYJ20220818102207015).
The increasing complexity of on-orbit tasks imposes great demands on the flexible operation of space robotic arms, prompting the development of space robots from single-arm manipulation to multi-arm collaboration. In ...
关键词：Space multi-arm collaboration Demonstrations .Reinforcement Learning Probabilistic Movement Primitives Relative Entropy Policy Search Policy search mechanism 
Stochastic Fractal Search:A Decade Comprehensive Review on Its Theory,Variants,and Applications
《Computer Modeling in Engineering & Sciences》2025年第3期2339-2404,共66页Mohammed A.El-Shorbagy Anas Bouaouda Laith Abualigah Fatma A.Hashim 
supported by Prince Sattam bin Abdulaziz University for funding this research work through the project number(2024/RV/06).
With the rapid advancements in technology and science,optimization theory and algorithms have become increasingly important.A wide range of real-world problems is classified as optimization challenges,and meta-heurist...
关键词：Meta-heuristic algorithms stochastic fractal search evolutionary computation engineering applications swarm intelligence optimization 
Chinese fabric search black technology debuts intertextile exhibition
《China Textile》2025年第1期26-26,共1页Zhong Mengxia 
In the current era of technological advancement,where the concept of"all industries can be itelligent"is becoming increasingly prevalent,the role of artificial itelligence(AI)is becoming more pro-nounced.AI is playing...
关键词：invested BECOMING BLACK 
A new search for the variation of fundamental constants using the rovibrational levels and isotope effects of the magnesium fluoride molecule
《Chinese Physics B》2025年第2期215-221,共7页Di Wu Jin Wei Taojing Dong Chenyu Zu Yong Xia Jianping Yin 
Project supported by the National Natural Science Foundation of China (Grant Nos. 12174115,11834003,and 91836103)。
The recently demonstrated methods for cooling and trapping diatomic molecules offer new possibilities for precision searches in fundamental physical theories.Here,we propose to study the variations of the fine-structu...
关键词：cold molecule proton-to-electron mass ratio precision measurement 
Handling class imbalance of radio frequency interference in deep learning-based fast radio burst search pipelines using a deep convolutional generative adversarial network
《Astronomical Techniques and Instruments》2025年第1期10-15,共6页Wenlong Du Yanling Liu Maozheng Chen 
supported by the Chinese Academy of Science"Light of West China"Program(2022-XBQNXZ-015);the National Natural Science Foundation of China(11903071);the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China and administered by the Chinese Academy of Sciences。
This paper addresses the performance degradation issue in a fast radio burst search pipeline based on deep learning.This issue is caused by the class imbalance of the radio frequency interference samples in the traini...
关键词：Fast radio burst Deep convolutional generative adversarial network Class imbalance Radio frequency interference Deep learning 
A quantum-search-based multi-classifier for image recognition
《Science China(Physics,Mechanics & Astronomy)》2025年第1期17-27,共11页Lu Liu Xingyu Wu Lufan Zhang Chuan Wang 
the support from the National Natural Science Foundation of China(Grant Nos.62131002,62305028,and 62071448);the Fundamental Research Funds for the Central Universities(BNU)。
The multi-class classification of images is a pivotal challenge within the realm of image processing.As the volume of visual data continues to expand,there is a burgeoning interest in harnessing the unique capabilitie...
关键词：quantum computation image recognition quantum search algorithm 
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