咨询与建议

限定检索结果

文献类型

  • 105,915 篇 会议
  • 684 篇 期刊文献
  • 554 册 图书
  • 4 篇 学位论文

馆藏范围

  • 107,156 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 60,454 篇 工学
    • 49,571 篇 计算机科学与技术...
    • 39,558 篇 软件工程
    • 13,351 篇 信息与通信工程
    • 11,480 篇 生物工程
    • 8,434 篇 控制科学与工程
    • 6,702 篇 电气工程
    • 6,321 篇 生物医学工程(可授...
    • 3,803 篇 光学工程
    • 3,314 篇 机械工程
    • 2,969 篇 电子科学与技术(可...
    • 2,729 篇 网络空间安全
    • 2,689 篇 安全科学与工程
    • 2,503 篇 动力工程及工程热...
    • 2,317 篇 化学工程与技术
    • 2,171 篇 仪器科学与技术
  • 25,849 篇 理学
    • 12,106 篇 生物学
    • 11,963 篇 数学
    • 5,129 篇 物理学
    • 4,858 篇 统计学(可授理学、...
    • 3,515 篇 系统科学
    • 2,324 篇 化学
  • 17,336 篇 管理学
    • 10,934 篇 管理科学与工程(可...
    • 7,575 篇 图书情报与档案管...
    • 5,114 篇 工商管理
  • 13,503 篇 教育学
    • 13,302 篇 教育学
  • 6,377 篇 医学
    • 5,441 篇 临床医学
    • 5,191 篇 基础医学(可授医学...
    • 3,408 篇 药学(可授医学、理...
    • 2,855 篇 公共卫生与预防医...
  • 3,345 篇 法学
    • 2,897 篇 社会学
  • 1,965 篇 文学
  • 1,753 篇 农学
  • 1,654 篇 经济学
  • 267 篇 艺术学
  • 105 篇 军事学
  • 11 篇 历史学
  • 10 篇 哲学

主题

  • 7,093 篇 machine learning
  • 6,838 篇 deep learning
  • 5,239 篇 accuracy
  • 5,005 篇 training
  • 4,787 篇 computational mo...
  • 4,149 篇 education
  • 3,826 篇 students
  • 3,516 篇 feature extracti...
  • 3,006 篇 support vector m...
  • 2,999 篇 machine learning...
  • 2,985 篇 predictive model...
  • 2,907 篇 convolutional ne...
  • 2,378 篇 real-time system...
  • 2,297 篇 data models
  • 2,223 篇 neural networks
  • 1,982 篇 cloud computing
  • 1,805 篇 teaching
  • 1,469 篇 reinforcement le...
  • 1,412 篇 artificial intel...
  • 1,379 篇 internet of thin...

机构

  • 823 篇 chitkara univers...
  • 145 篇 lovely professio...
  • 109 篇 computer science...
  • 98 篇 karnataka bangal...
  • 92 篇 college of compu...
  • 87 篇 school of comput...
  • 80 篇 chitkara univers...
  • 76 篇 school of comput...
  • 72 篇 department of co...
  • 68 篇 department of co...
  • 64 篇 department of co...
  • 58 篇 department of co...
  • 57 篇 school of comput...
  • 49 篇 department of co...
  • 48 篇 chitkara univers...
  • 43 篇 department of me...
  • 42 篇 school of automa...
  • 42 篇 vellore institut...
  • 41 篇 chennai
  • 37 篇 sathyabama insti...

作者

  • 70 篇 shiva mehta
  • 69 篇 anjali t.
  • 53 篇 li yang
  • 42 篇 sharma vikrant
  • 40 篇 kukreja vinay
  • 39 篇 wang lei
  • 39 篇 rakesh kumar
  • 37 篇 gill kanwarparta...
  • 35 篇 sharma neha
  • 34 篇 wang jing
  • 32 篇 vinay kukreja
  • 31 篇 lei wang
  • 31 篇 zhang lei
  • 30 篇 huang yueh-min
  • 29 篇 liu bo
  • 29 篇 yu wang
  • 27 篇 li xin
  • 26 篇 amandeep nagpal
  • 25 篇 vinay gautam
  • 25 篇 kumar ajay

语言

  • 102,616 篇 英文
  • 4,178 篇 其他
  • 687 篇 中文
  • 27 篇 西班牙文
  • 17 篇 葡萄牙文
  • 5 篇 阿拉伯文
  • 3 篇 法文
  • 3 篇 土耳其文
  • 2 篇 俄文
检索条件"任意字段=International Conference on Learning and Teaching in Computing and Engineering"
107157 条 记 录,以下是4771-4780 订阅
排序:
Overcoming Challenges in DevOps Education through teaching Methods  23
Overcoming Challenges in DevOps Education through Teaching M...
收藏 引用
IEEE/ACM 45th international conference on Software engineering - Software engineering Education and Training (ICSE-SEET)
作者: Ferino, Samuel Fernandes, Marcelo Cirilo, Elder Agnez, Lucas Batista, Bruno Kulesza, Uira Aranha, Eduardo Treude, Christoph Univ Fed Rio Grande do Norte Natal Brazil Fed Inst Rio Grande do Norte Mossoro Brazil Univ Fed Sao Joao del Rei Sao Joao Del Rei Brazil Univ Melbourne Parkville Australia
DevOps is a set of practices that deals with coordination between development and operation teams and ensures rapid and reliable new software releases that are essential in industry. DevOps education assumes the vital... 详细信息
来源: 评论
Enhancing Deep learning Performance Through Parallel Processing: A Comprehensive Research Study  6
Enhancing Deep Learning Performance Through Parallel Process...
收藏 引用
6th international conference on Recent Trends in Advance computing, ICRTAC 2023
作者: Thakur, Rudraditya Goel, Naman Bhavesh Vijaykumar, Vaidehi Vellore Institute of Technology Chennai School of Computer Science Engineering Chennai India
The computational demands of training complex deep learning models have hindered the widespread adoption of this transformative technology. Parallel processing techniques have emerged as a promising approach to addres... 详细信息
来源: 评论
AI-Enabled Edge computing Models: Trends, Developments, and Future Implications  2
AI-Enabled Edge Computing Models: Trends, Developments, and ...
收藏 引用
2nd international conference on Edge computing and Applications, ICECAA 2023
作者: Satyam Geetha, P. Shashikala, K.S. Kumar, N. Ashok School of Engineering Mohan Babu University Department of Ece Tirupati517102 India New Horizon College of Engineering Department of Ai&ml Bangalore560103 India
This research study examines the ways in which AI-enabled edge computing (AIEC) models are being used across various industries to improve operational efficiency and enable faster decision-making. The study discusses ... 详细信息
来源: 评论
Next-Generation Intrusion Detection Systems with Machine learning and Deep learning-Based Firewalls  3
Next-Generation Intrusion Detection Systems with Machine Lea...
收藏 引用
3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025
作者: Rani, Ritu Chitkara University Institute of Engineering and Technology Chitkara University Punjab India
The growing complexity of cyber-attacks has underlined the requirement of strong Intrusion Detection Systems (IDS) able to instantly recognize a variety of hazards. This work offers a strategy for improving Next-Gener... 详细信息
来源: 评论
Soil Health Analysis Using Few-Shot learning and Deep learning  8
Soil Health Analysis Using Few-Shot Learning and Deep Learni...
收藏 引用
8th IEEE international conference on computing, Communication, Control and Automation, ICCUBEA 2024
作者: Vispute, Sushma Rajeswari, K. Kumare, Vinay Naikawadi, Muhafij Patekar, Abhishek Padavale, Pravin Pimpri Chinchwad College of Engineering Department of Computer Engineering Nigdi Pune India
This paper presents an innovative approach to soil health analysis specifically tailored for farmers in a Pune division. We addressing the unique agricultural needs of this region by leveraging advanced machine learni... 详细信息
来源: 评论
Strategic Patient Education Approaches for Effective Disease Management and Prevention
Strategic Patient Education Approaches for Effective Disease...
收藏 引用
2024 international conference on Sustainable computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024
作者: Aravinda, K. Rangaraju, Tejaswini Singla, Atul Shrivastava, Anurag Lavanya, C. Al-Rubaye, Taqi Mohammed Khattab New Horizon College of Engineering Bangalore India Institute of Aeronautical Engineering Dundigal Hyderabad500043 India Lovely Professional University Phagwara India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India Department of Civil GRIET Bachupally Telangana Hyderabad India Department of Medical Laboratory Technology College of Medical Technologies The Islamic University Najaf Iraq
This study presents and assesses the Adaptive learning Reinforcement (ALR) approach, a new patient education strategy that improves illness prevention and treatment. Behavioral incentives and AI provide a dynamic and ... 详细信息
来源: 评论
Research on teaching Reform of Spark Big Data Analysis Course Based on TOPCARES-OBE  4
Research on Teaching Reform of Spark Big Data Analysis Cours...
收藏 引用
4th international conference on Big Data engineering and Education, BDEE 2024
作者: Luo, Guotao Chengdu Neusoft University Department of Intelligent Science and Engineering Chengdu China
Focusing on the issues of students' low efficiency in learning real-time big data processing and analysis techniques, as well as their weakness in solving comprehensive real-time big data problems, this article, g... 详细信息
来源: 评论
StraightLine: An End-to-End Resource-Aware Scheduler for Machine learning Application Requests  3
StraightLine: An End-to-End Resource-Aware Scheduler for Mac...
收藏 引用
3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024
作者: Ching, Cheng-Wei Guan, Boyuan Xu, Hailu Hu, Liting University of California Santa Cruz Department of Computer Science and Engineering Santa CruzCA United States Center of Florida International University MiamiFL United States California State University Department of Computer Engineering and Computer Science Long BeachCA United States
The life cycle of machine learning (ML) applications consists of two stages: model development and model deployment. However, traditional ML systems (e.g., training-specific or inference-specific systems) focus on one... 详细信息
来源: 评论
Self-organizing interval type-2 fuzzy neural network based on singular value decomposition and QR decomposition
Self-organizing interval type-2 fuzzy neural network based o...
收藏 引用
2023 international conference on Cloud computing, Performance computing, and Deep learning, CCPCDL 2023
作者: Wang, Panchao Zhao, Taoyan Liaoning Petrochemical University School of Information and Control Engineering Fushun China
In this paper, a self-organizing interval type-2 fuzzy neural network based on singular value decomposition and QR decomposition with column pivoting (SVD-QR)method is proposed to solve the identification problem of n... 详细信息
来源: 评论
Research on human pose and action detection algorithm based on YOLOv8  2
Research on human pose and action detection algorithm based ...
收藏 引用
2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024
作者: Cheng, Weizhong Wang, Xuefei School of Information Engineering Suihua University Heilongjiang Suihua China School of Electrical Engineering Suihua University Heilongjiang Suihua China
Human pose and action detection technology has significant applications in areas such as smart security, sports monitoring, and human-computer interaction. The development of deep learning has driven the demand for re... 详细信息
来源: 评论