云南高校图书馆联盟文献共享服务平台- SCALING

SCALING: 作品数：634被引量：804H指数：11; 导出分析报告; 相关领域：理学更多>>; 相关作者：程昆朋张元良陈慧刘卫国胡云卿更多>>; 相关机构：天津大学中国科学院大学中国科学院同济大学更多>>; 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>>

Exploration of NWDAF Development Architecture for 6G AI-Native Networks: 《ZTE Communications》2025年第1期45-52,共8页HE Shiwen PENG Shilin DONG Haolei WANG Liangpeng AN Zhenyu; supported by the National Key Research and Development Program of China under Grant No.2023YFE0200700;National Natural Science Foundation of China under Grant No.62171474;ZTE Industry University-Institute Cooperation Funds under Grant No.IA20241014013。; Artificial intelligence(AI)-native communication is considered one of the key technologies for the development of 6G mobile communication networks.This paper investigates the architecture for developing the network da...; 关键词：6G AI-native NWDAF UPF scaling

Universal Scaling Laws in Quantum-Probabilistic Machine Learning by Tensor Network: Toward Interpreting Representation and Generalization Powers: 《Chinese Physics Letters》2024年第12期35-45,共11页Sheng-Chen Bai Shi-Ju Ran; supported in part by the Beijing Natural Science Foundation (Grant No. 1232025);the Ministry of Education Key Laboratory of Quantum Physics and Photonic Quantum Information (Grant No. ZYGX2024K020);Academy for Multidisciplinary Studies, Capital Normal University.; The interpretation of representations and generalization powers has been a long-standing challenge in the fields of machine learning(ML)and artificial intelligence.This study contributes to understanding the emergence...; 关键词：QUANTUM GENERALIZATION SCALING

Integrated chips:An interdisciplinary evolution in the Post-Moore Era: 《Fundamental Research》2024年第6期1405-1406,共2页Ninghui Sun Ming Liu; For decades,Moore’s Law[1],which predicted that the number of transistors on a chip would double every two years,has been a key driver of computing power growth.However,as transistor scaling approaches its physical l...; 关键词：computing SCALING EVOLUTION

An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection: 《Big Data Mining and Analytics》2024年第3期718-729,共12页Faleh Alshameri Ran Xia; Anomaly detection is one of the many challenging areas in cybersecurity.The anomaly can occur in many forms,such as fraudulent credit card transactions,network intrusions,and anomalous imageries or documents.One of th...; 关键词：anomaly detection optimization imbalanced dataset generative modeling Convolutional Neural Network(CNN) Variational AutoEncoder(VAE) latent space scaling reconstruction error

Multi-agent evaluation for energy management by practically scalingα-rank: 《Frontiers of Information Technology & Electronic Engineering》2024年第7期1003-1016,共14页Yiyun SUN Senlin ZHANG Meiqin LIU Ronghao ZHENG Shanling DONG Xuguang LAN; the National Key R&D Program of China(No.2021ZD0112700);the Zhejiang Provincial Natural Science Foundation of China(No.LZ22F030006);the Fundamental Research Funds for the Central Universities,China(No.xtr072022001)。; Currently,decarbonization has become an emerging trend in the power system arena.However,the increasing number of photovoltaic units distributed into a distribution network may result in voltage issues,providing chall...; 关键词：Energy management Multi-agent deep reinforcement learning Strategy evaluation Power grid system

XGCN:a library for large-scale graph neural network recommendations: 《Frontiers of Computer Science》2024年第3期247-249,共3页Xiran SONG Hong HUANG Jianxun LIAN Hai JIN; supported by the National Natural Science Foundation of China(Grant Nos.62172174,61932004).; 1 Introduction Graph Neural Networks(GNNs)have gained widespread adoption in recommendation systems,and nowadays there is a pressing need to effectively manage large-scale graph data[1].When it comes to large graphs,G...; 关键词：SCALING gained operations

Effect of signal-to-noise ratio on the automatic clustering of X-ray diffraction patterns from combinatorial libraries: 《Materials Genome Engineering Advances》2024年第1期97-103,共7页Yuanxun Zhou Biao Wu Jianhao Wang Hong Wang; funded by the National Key Research and Development Program of China(Grant Nos.2021YFB370-2102 and 2017YFB0701900).; Hierarchical clustering algorithm has been applied to identify the X-ray diffraction(XRD)patterns from a high-throughput characterization of the combinatorial materials chips.As data quality is usually correlated with...; 关键词：combinatorial materials chip high-throughput characterization machine learning metric multidimensional data scaling signal-to-noise ratio X-ray techniques

Nonparametric Statistical Feature Scaling Based Quadratic Regressive Convolution Deep Neural Network for Software Fault Prediction: 《Computers, Materials & Continua》2024年第3期3469-3487,共19页Sureka Sivavelu Venkatesh Palanisamy; The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software w...; 关键词：Software defect prediction feature selection nonparametric statistical Torgerson-Gower scaling technique quadratic censored regressive convolution deep neural network softstep activation function nelder-mead method

Decentralized output-feedback control of triangular large-scale nonlinear impulsive systems with time-varying delays:a gain scaling approach: 《Science China(Information Sciences)》2023年第11期181-199,共19页Debao FAN Xianfu ZHANG Weihao PAN Hanfeng LI; supported by National Natural Science Foundation of China(Grant Nos.61973189,62073190);Natural Science Foundation of Shandong Province of China(Grant Nos.ZR2019ZD09,ZR2020ZD25);Research Fund for the Taishan Scholar Project of Shandong Province of China(Grant No.ts20190905)。; In this study,we investigate the decentralized output-feedback control problem for a class of triangular large-scale nonlinear impulsive systems(TLSNISs)with time-varying delays.Unlike existing design approaches in im...; 关键词：triangular large-scale systems nonlinear impulsive systems time-varying delay output feedback gain scaling approach

CARVING-DETC: A network scaling and NMS ensemble for Balinese carving motif detection method: 《Visual Informatics》2023年第3期1-10,共10页Wayan Agus Surya Darma Nanik Suciati Daniel Siahaan; the Directorate General of Higher Education,Research,and Technology,Republic of Indonesia under the grand number 3/E1/KP.PTNBH/2021.; Balinese carvings are cultural objects that adorn sacred buildings. The carvings consist of several motifs,each representing the values adopted by the Balinese people. Detection of Balinese carving motifs ischallengin...; 关键词：Balinese carving Object detection Network scaling Non-maximum suppression Ensemble model

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