咨询与建议

限定检索结果

文献类型

  • 13,377 篇 会议
  • 17 篇 期刊文献
  • 16 册 图书

馆藏范围

  • 13,410 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 7,105 篇 工学
    • 6,398 篇 计算机科学与技术...
    • 5,095 篇 软件工程
    • 1,730 篇 信息与通信工程
    • 1,008 篇 控制科学与工程
    • 735 篇 生物工程
    • 721 篇 电气工程
    • 667 篇 生物医学工程(可授...
    • 582 篇 网络空间安全
    • 511 篇 光学工程
    • 451 篇 安全科学与工程
    • 398 篇 电子科学与技术(可...
    • 344 篇 交通运输工程
    • 328 篇 动力工程及工程热...
    • 288 篇 机械工程
    • 267 篇 仪器科学与技术
  • 2,667 篇 理学
    • 1,298 篇 数学
    • 879 篇 生物学
    • 637 篇 统计学(可授理学、...
    • 535 篇 物理学
    • 328 篇 系统科学
    • 242 篇 化学
  • 1,877 篇 管理学
    • 1,300 篇 管理科学与工程(可...
    • 789 篇 图书情报与档案管...
    • 573 篇 工商管理
  • 947 篇 医学
    • 687 篇 临床医学
    • 681 篇 基础医学(可授医学...
    • 659 篇 公共卫生与预防医...
    • 264 篇 药学(可授医学、理...
  • 508 篇 法学
    • 471 篇 社会学
  • 262 篇 经济学
    • 262 篇 应用经济学
  • 223 篇 农学
  • 210 篇 教育学
  • 198 篇 文学
  • 9 篇 军事学
  • 1 篇 艺术学

主题

  • 2,085 篇 accuracy
  • 1,690 篇 deep learning
  • 1,200 篇 machine learning
  • 1,188 篇 computational mo...
  • 1,044 篇 training
  • 1,026 篇 data models
  • 968 篇 predictive model...
  • 724 篇 real-time system...
  • 687 篇 convolutional ne...
  • 684 篇 feature extracti...
  • 676 篇 machine learning...
  • 585 篇 support vector m...
  • 531 篇 federated learni...
  • 484 篇 adversarial mach...
  • 330 篇 contrastive lear...
  • 311 篇 medical services
  • 295 篇 random forests
  • 289 篇 analytical model...
  • 278 篇 prediction algor...
  • 271 篇 neural networks

机构

  • 105 篇 lovely professio...
  • 101 篇 chitkara univers...
  • 57 篇 department of co...
  • 47 篇 school of comput...
  • 45 篇 school of comput...
  • 45 篇 department of co...
  • 42 篇 the islamic univ...
  • 42 篇 department of co...
  • 40 篇 shandong provinc...
  • 36 篇 college of compu...
  • 32 篇 university of ch...
  • 28 篇 department of co...
  • 27 篇 department of co...
  • 26 篇 computer science...
  • 26 篇 graphic era deem...
  • 25 篇 department of co...
  • 25 篇 amrita vishwa vi...
  • 25 篇 the islamic univ...
  • 23 篇 department of co...
  • 23 篇 college of intel...

作者

  • 23 篇 satvik vats
  • 18 篇 shiva mehta
  • 18 篇 kukreja vinay
  • 18 篇 vats satvik
  • 17 篇 anjali t.
  • 17 篇 rishabh sharma
  • 17 篇 deepak upadhyay
  • 16 篇 senthil kumar th...
  • 15 篇 singh jagendra
  • 15 篇 venugopalan manj...
  • 13 篇 manjunatha
  • 13 篇 rakesh kumar
  • 12 篇 ramya maranan
  • 11 篇 selvanayaki kola...
  • 11 篇 s. kaliappan
  • 10 篇 andersson karl
  • 10 篇 muthukumaravel a...
  • 10 篇 yang yang
  • 10 篇 ayodeji olalekan...
  • 10 篇 surendran r.

语言

  • 12,140 篇 英文
  • 1,269 篇 其他
  • 306 篇 中文
  • 1 篇 西班牙文
检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13410 条 记 录,以下是61-70 订阅
排序:
Monitoring the Concentration of Air Pollutants and Its Health Hazards Using machine learning Models  5th
Monitoring the Concentration of Air Pollutants and Its Healt...
收藏 引用
5th international conference on computing science, Communication and Security
作者: Jain, Aditi Shenoy, Aditya Adiga, Ananya Anekal, Anirudha Prajwal, Saritha PES Univ Bengaluru 560085 Karnataka India
With the world moving rapidly towards industrialization driven by economic growth and technological advancements, there is an alarming surge of air pollution leading to significant health concerns. In response, this w... 详细信息
来源: 评论
Federated learning as a Service for Hierarchical Edge Networks with Heterogeneous Models  22nd
Federated Learning as a Service for Hierarchical Edge Networ...
收藏 引用
22nd international conference on Service Oriented computing
作者: Gao, Wentao Tavallaie, Omid Chen, Shuaijun Zomaya, Albert Univ Sydney Sch Comp Sci Sydney NSW Australia Univ Oxford Dept Engn Sci Oxford England
Federated learning (FL) is a distributed machine learning (ML) framework that is capable of training a new global model by aggregating clients' locally trained models without sharing users' original data. Fede... 详细信息
来源: 评论
Detection of Medicinal Plants Using machine learning  12th
Detection of Medicinal Plants Using Machine Learning
收藏 引用
12th international conference on Recent Trends in computing, ICRTC 2024
作者: Ravikumar, S. Eugene Berna, I. Babu, R. Arockia Raj, Y. Vijay, K. Department of Computer Science and Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai India Department of Artificial Intelligence and Machine Learning Bannari Amman Institute of Technology Erode India Department of Computational Intelligence School of Computing SRM Institute of Science and Technology Kattankulathur Campus Chennai India Department of Computer Science and Engineering PSNA College of Engineering and Technology Dindigul India Department of Artificial Intelligence and Machine Learning Rajalakshmi Engineering College Chennai India
An exciting new direction in plant categorization and identification is the use of machine learning techniques for medicinal plant detection. Using a variety of photo datasets containing medicinal plants, this techniq... 详细信息
来源: 评论
Information Content of machine learning Under Robo-Advisory Inference  14th
Information Content of Machine Learning Under Robo-Advisory ...
收藏 引用
14th international conference on Frontier computing, FC 2024
作者: Yeh, Chih-Chuan Department of Finance National Taichung University of Science and Technology No.129 Sec. 3 Sanmin Rd. North Dist Taichung City40401 Taiwan
This article examines the transformative impact of Robo-Advisors on wealth management through the integration of big data and artificial intelligence (AI) in algorithmic trading strategies. We explore how AI technolog... 详细信息
来源: 评论
SegHeD: Segmentation of Heterogeneous data for Multiple Sclerosis Lesions with Anatomical Constraints
SegHeD: Segmentation of Heterogeneous Data for Multiple Sc...
收藏 引用
Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and data, LDTM 2024, 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on machine learning for Multimodal/-sensor Healthcare data, ML4MHD2024 and Workshop on Multimodal learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th international conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024
作者: Basaran, Berke Doga Zhang, Xinru Matthews, Paul M. Bai, Wenjia Department of Computing Imperial College London London United Kingdom Data Science Institute Imperial College London London United Kingdom Department of Brain Sciences Imperial College London London United Kingdom School of Integrated Circuits and Electronics Beijing Institute of Technology CN Beijing China UK Dementia Research Institute Imperial College London London United Kingdom Rosalind Franklin Institute Didcot United Kingdom
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). machine learning models have demonstrated a... 详细信息
来源: 评论
Research on machine learning Prediction Algorithm in Stability of Mountain Rock Slope  14th
Research on Machine Learning Prediction Algorithm in Stabili...
收藏 引用
14th international conference on Frontier computing, FC 2024
作者: Xiang, Juan Zhang, Xuguang Li, Yongde School of Architecture and Civil Engineering Chongqing Metropolitan College of Science and Technology Chongqing China Architectural Design Institute China Construction Fifth Engineering Division Corp Ltd. Changsha China
In order to predict the slope stability, a method based on machine learning is put forward. By analyzing the slope instability characteristics, six typical slope parameters (pore water pressure, slope height) are sele... 详细信息
来源: 评论
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation  9th
FedGS: Federated Gradient Scaling for Heterogeneous Medical ...
收藏 引用
27th international conference on Medical Image computing and Computer Assisted Intervention (MICCAI)
作者: Schutte, Philip Corbetta, Valentina Beets-Tan, Regina Silva, Wilson Univ Amsterdam Amsterdam Netherlands Netherlands Canc Inst Dept Radiol Amsterdam Netherlands Univ Utrecht Dept Informat & Comp Sci Dept Biol AI Technol Life Utrecht Netherlands Maastricht Univ GROW Sch Oncol & Dev Biol Med Ctr Maastricht Netherlands
Federated learning (FL) in Deep learning (DL)-automated medical image segmentation helps preserving privacy by enabling collaborative model training without sharing patient data. However, FL faces challenges with data... 详细信息
来源: 评论
A Novel Ensemble learning Approach for Diabetes Prediction in Imbalanced datasets  13
A Novel Ensemble Learning Approach for Diabetes Prediction i...
收藏 引用
13th international conference on Research in computing at Feminine, RIF 2024
作者: Boughareb, Djalila Bouteldja, Said Seridi, Hamid Department of Computer Science LabStic Laboratory University 8 May 1945 Guelma Algeria Department of Computer Science University of 8 May 1945 Guelma Algeria
The incapacity of the body to effectively make or use insulin results in diabetes, a chronic illness. Over time, this illness may cause harm to the kidneys, blood vessels, heart, eyes, nerves, and kidneys. Timely trea... 详细信息
来源: 评论
Ensemble learning with Feature Fusion for Well-Overflow Detection  5th
Ensemble Learning with Feature Fusion for Well-Overflow Dete...
收藏 引用
5th international conference on Neural computing for Advanced Applications (NCAA)
作者: Cui, Ziliang Liu, Li Xiong, Yinzhou Liu, Yinguo Su, Yu Man, Zhimin Wang, Ye Chongqing Univ Posts & Telecommun Chongqing Peoples R China Chongqing Energy Big Data Ctr Co Ltd Chongqing Peoples R China Shandong Zibo Polytech Vocat Sch Chongqing Peoples R China
Traditional methods for kick prediction rely on experience and basic physical models, but they struggle to maintain high accuracy under complex well conditions and varying geological environments. Moreover, convention... 详细信息
来源: 评论
data Orchestration Platform for AI Workflows Execution Across computing Continuum  15
Data Orchestration Platform for AI Workflows Execution Acros...
收藏 引用
15th international conference on Cloud computing and Services science, CLOSER 2025
作者: Arcas, Gabriel Ioan Cioara, Tudor Engineering and Data Solutions Department Bosch Engineering Center Cluj-Napoca Romania Computer Science Department Technical University of Cluj Napoca Romania
Cloud AI technologies have emerged to exploit the vast amount of data produced by digitized activities. However, despite these advancements, they still face challenges in several areas, including data processing, achi... 详细信息
来源: 评论