咨询与建议

限定检索结果

文献类型

  • 665 篇 期刊文献
  • 442 篇 会议
  • 13 册 图书

馆藏范围

  • 1,120 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 628 篇 工学
    • 461 篇 计算机科学与技术...
    • 381 篇 软件工程
    • 125 篇 信息与通信工程
    • 95 篇 电气工程
    • 92 篇 生物工程
    • 82 篇 生物医学工程(可授...
    • 72 篇 光学工程
    • 70 篇 控制科学与工程
    • 61 篇 电子科学与技术(可...
    • 48 篇 机械工程
    • 28 篇 网络空间安全
    • 27 篇 仪器科学与技术
    • 25 篇 交通运输工程
    • 23 篇 化学工程与技术
    • 23 篇 安全科学与工程
  • 444 篇 理学
    • 174 篇 物理学
    • 173 篇 数学
    • 120 篇 生物学
    • 79 篇 统计学(可授理学、...
    • 34 篇 地球物理学
    • 31 篇 系统科学
  • 184 篇 管理学
    • 112 篇 管理科学与工程(可...
    • 77 篇 图书情报与档案管...
    • 63 篇 工商管理
  • 108 篇 医学
    • 91 篇 临床医学
    • 75 篇 基础医学(可授医学...
    • 50 篇 公共卫生与预防医...
    • 33 篇 药学(可授医学、理...
  • 36 篇 法学
    • 31 篇 社会学
  • 32 篇 经济学
    • 32 篇 应用经济学
  • 17 篇 教育学
  • 16 篇 农学
  • 3 篇 军事学
  • 2 篇 文学
  • 1 篇 艺术学

主题

  • 47 篇 accuracy
  • 41 篇 machine learning
  • 40 篇 deep learning
  • 32 篇 feature extracti...
  • 28 篇 computational mo...
  • 26 篇 semantics
  • 23 篇 training
  • 23 篇 convolutional ne...
  • 22 篇 artificial intel...
  • 20 篇 real-time system...
  • 19 篇 neural networks
  • 19 篇 predictive model...
  • 17 篇 federated learni...
  • 17 篇 data models
  • 16 篇 visualization
  • 15 篇 internet of thin...
  • 15 篇 contrastive lear...
  • 14 篇 optimization
  • 13 篇 data mining
  • 13 篇 security

机构

  • 60 篇 shandong provinc...
  • 49 篇 key laboratory o...
  • 46 篇 shandong enginee...
  • 20 篇 department of ph...
  • 20 篇 hiroshima astrop...
  • 19 篇 faculty of data ...
  • 19 篇 department of ph...
  • 16 篇 college of compu...
  • 15 篇 dipartimento di ...
  • 15 篇 shandong fundame...
  • 14 篇 dipartimento di ...
  • 14 篇 deutsches elektr...
  • 14 篇 w. w. hansen exp...
  • 14 篇 istituto naziona...
  • 14 篇 istituto naziona...
  • 14 篇 nasa goddard spa...
  • 13 篇 department of ph...
  • 13 篇 science institut...
  • 13 篇 max-planck-insti...
  • 13 篇 istituto naziona...

作者

  • 15 篇 niyato dusit
  • 15 篇 gargano f.
  • 14 篇 bastieri d.
  • 14 篇 sgrò c.
  • 14 篇 lubrano p.
  • 14 篇 spinelli p.
  • 14 篇 kuss m.
  • 13 篇 ajello m.
  • 13 篇 green d.
  • 13 篇 orlando e.
  • 13 篇 nuss e.
  • 13 篇 torres d.f.
  • 13 篇 giroletti m.
  • 12 篇 monzani m.e.
  • 12 篇 cameron r.a.
  • 12 篇 siskind e.j.
  • 12 篇 morselli a.
  • 12 篇 reimer o.
  • 12 篇 mizuno t.
  • 12 篇 piron f.

语言

  • 1,040 篇 英文
  • 77 篇 其他
  • 4 篇 中文
  • 2 篇 斯洛文尼亚文
检索条件"机构=Faculty of Computing and Data Science"
1120 条 记 录,以下是221-230 订阅
排序:
Feature Aggregation Network for Memory-Based Industrial Anomaly Detection  9
Feature Aggregation Network for Memory-Based Industrial Anom...
收藏 引用
9th IEEE International Conference on data science in Cyberspace, DSC 2024
作者: Li, Min Han, Delong Shao, Rui He, Jinghui City University of Macau Faculty of Data Science China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China
In the process of large-scale industrial production, complex defects of different shapes and sizes can occur in industrial products and their components, and these defects seriously affect the performance of industria... 详细信息
来源: 评论
Developing a Visual Dashboard to Improve Research Activity Assessment
Developing a Visual Dashboard to Improve Research Activity A...
收藏 引用
International Conference on Computer, Control, Informatics and Its Applications (IC3INA)
作者: Muhammad Zaki Nur Rahman Esa Prakasa Moch Arif Bijaksana Bachelor of Data Science Faculty of Informatics Telkom University Bandung Indonesia National Research and Innovation Agency (BRIN) Research Center for Data and Information Sciences Bandung Indonesia School of Computing Telkom University Bandung Indonesia
In research institutions, the ability to monitor and analyze publication output is crucial for assessing productivity and achieving strategic goals. This paper presents a dashboard designed to visualize and analyze pu... 详细信息
来源: 评论
Analytical Study for Cyber Threat Intelligence (CTI)  7
Analytical Study for Cyber Threat Intelligence (CTI)
收藏 引用
7th IET Smart Cities Symposium, SCS 2023
作者: Alkhateeb, Ibrahim R. Al-Haija, Qasem Abu Abu-Soud, Saleh Dept. of Cybersecurity/ Data Science King Hussein School of Computing Sciences Prince Sumaya University for Technology P.O. Box 1438 Amman11941 Jordan Dept. of Cybersecurity Faculty of Computer & Information Technology Jordan University of Science and Technology P.O. Box 3030 Irbid22110 Jordan
Cyber Threat Intelligence (CTI) involves collecting and analyzing cyber security data using advanced algorithms and rigorous techniques to identify and address potential threats, harmful incidents, and existing vulner... 详细信息
来源: 评论
Unprecedented Smart Algorithm for Uninterrupted SDN Services During DDoS Attack
收藏 引用
Computers, Materials & Continua 2022年 第1期70卷 875-894页
作者: Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Rizaludin Kaspin Iram Haider Sana Nisar J.P.C.Rodrigues Bhawani Shankar Chowdhry Muhammad AslamUqaili Satya Prasad Majumder Danda B.Rawat Richard Etengu Rajkumar Buyya Faculty of Computing&Informatics Multimedia UniversityPersiaranMultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation Centre63000CyberjayaSelangorMalaysia Federal University of Piauí(UFPI) TeresinaPIBrazil Instituto de Telecomunica珲es 6201-001Covilh?Portugal National Center of Robotics and Automation-Condition Monitoring Systems Lab MUETJamshoroPakistan Department of Electrical and Electronic Engineering BUETDhaka1205Bangladesh Department of Electrical Engineering and Computer Science Data Science and Cybersecurity CenterHoward UniversityWashingtonDCUSA Cloud Computing and Distributed Systems(CLOUDS)Laboratory School of Computing and Information SystemsThe University of MelbourneMelbourneVIC 3053Australia
In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of th... 详细信息
来源: 评论
MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection
收藏 引用
IEEE Transactions on Neural Networks and Learning Systems 2025年 第6期36卷 9864-9878页
作者: Lin Ma Liang Hu Yonghao Li Weiping Ding Wanfu Gao Department of Computer Science and Technology Jilin University Changchun Jilin China School of Computing and Artificial Intelligence Southwestern University of Finance and Economics Chengdu Sichuan China School of Artificial Intelligence and Computer Science Nantong University Nantong China Faculty of Data Science City University of Macau Macau China
Multilabel causal feature selection has attracted extensive attention in recent years. Current multilabel causal feature selection algorithms typically employ existing Markov Blanket (MB) search methods for the initia... 详细信息
来源: 评论
A Review on data Quality Dimensions for Big data
收藏 引用
Procedia Computer science 2024年 234卷 341-348页
作者: Fakhitah Ridzuan Wan Mohd Nazmee Wan Zainon Faculty of Data Science and Computing Universiti Malaysia Kelantan Pengkalan Chepa 16100 Kota Bharu Kelantan Institute for Artificial Intelligence & Big Data Universiti Malaysia Kelantan Pengkalan Chepa 16100 Kota Bharu Kelantan School of Computer Sciences Universiti Sains Malaysia 11800 Penang
Big data wave has led to a rapid increase in the amount of data being collected by organizations. While the accuracy and reliability of prediction models are often prioritized, the quality of the collected data is fre... 详细信息
来源: 评论
Privacy-aware data Fusion and Prediction for Smart City Services in Edge computing Environment  15
Privacy-aware Data Fusion and Prediction for Smart City Serv...
收藏 引用
2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social computing, CPSCom 2022 and 8th IEEE International Conference on Smart data, Smartdata 2022
作者: Qi, Lianyong Chi, Xiaoxiao Zhou, Xiaokang Liu, Qi Dai, Fei Xu, Xiaolong Zhang, Xuyun School of Computer Science Qufu Normal University China Faculty of Data Science Shiga University Japan Riken Center for Advanced Intelligence Project Japan School of Computer and Software Nanjing University of Information Science and Technology China School of Big Data and Intelligence Engineering Southwest Forestry University China Department of Computing Macquarie University Australia
With fast development of Cyber Physical System, the variety and volume of data generated from different edge servers are fairly considerable. Mining and exploiting the data would definitely bring huge advantages. Howe... 详细信息
来源: 评论
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
arXiv
收藏 引用
arXiv 2024年
作者: Hu, Youbing Cheng, Yun Lu, Anqi Cao, Zhiqiang Wei, Dawei Liu, Jie Li, Zhijun AIoT Lab. Faculty of Computing Harbin Institute of Technology China Swiss Data Science Center Zurich Switzerland School of Cyber Engineering Xidian University China
The Vision Transformer (ViT) excels in accuracy when handling high-resolution images, yet it confronts the challenge of significant spatial redundancy, leading to increased computational and memory requirements. To ad... 详细信息
来源: 评论
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations  14
Explaining Decision-Tree Predictions by Addressing Potential...
收藏 引用
14th International Conference on Natural Language Generation, INLG 2021
作者: Maruf, Sameen Zukerman, Ingrid Reiter, Ehud Haffari, Gholamreza Dept. of Data Science and AI Faculty of IT Monash University VIC Australia Dept. of Computing Science University of Aberdeen United Kingdom
We offer an approach to explain Decision Tree (DT) predictions by addressing potential conflicts between aspects of these predictions and plausible expectations licensed by background information. We define four types... 详细信息
来源: 评论
Machine Unlearning Through Fine-Grained Model Parameters Perturbation
arXiv
收藏 引用
arXiv 2024年
作者: Zuo, Zhiwei Tang, Zhuo Li, Kenli Datta, Anwitaman College of Computer Science and Electronic Engineering Hunan University China College of Computing and Data Science Nanyang Technological University Singapore Shenzhen Research Institute Hunan University China Faculty of Computing Engineering & Media De Montfort University Leicester United Kingdom
Machine unlearning involves retracting data records and reducing their influence on trained models, aiding user privacy protection, at a significant computational cost potentially. Weight perturbation-based unlearning... 详细信息
来源: 评论