咨询与建议

限定检索结果

文献类型

  • 261 篇 会议
  • 214 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 477 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 306 篇 工学
    • 230 篇 计算机科学与技术...
    • 188 篇 软件工程
    • 73 篇 信息与通信工程
    • 52 篇 电气工程
    • 41 篇 控制科学与工程
    • 40 篇 生物工程
    • 35 篇 生物医学工程(可授...
    • 25 篇 电子科学与技术(可...
    • 23 篇 网络空间安全
    • 22 篇 光学工程
    • 20 篇 交通运输工程
    • 19 篇 安全科学与工程
    • 17 篇 机械工程
    • 13 篇 动力工程及工程热...
    • 13 篇 化学工程与技术
  • 173 篇 理学
    • 84 篇 数学
    • 49 篇 物理学
    • 42 篇 生物学
    • 22 篇 统计学(可授理学、...
    • 20 篇 地球物理学
    • 17 篇 系统科学
    • 14 篇 化学
  • 79 篇 管理学
    • 41 篇 图书情报与档案管...
    • 39 篇 管理科学与工程(可...
    • 16 篇 工商管理
  • 38 篇 医学
    • 29 篇 临床医学
    • 26 篇 基础医学(可授医学...
    • 23 篇 公共卫生与预防医...
    • 14 篇 药学(可授医学、理...
  • 16 篇 法学
    • 14 篇 社会学
  • 10 篇 农学
  • 6 篇 教育学
  • 4 篇 经济学
  • 2 篇 军事学
  • 2 篇 艺术学

主题

  • 33 篇 accuracy
  • 24 篇 machine learning
  • 24 篇 convolutional ne...
  • 22 篇 deep learning
  • 18 篇 internet of thin...
  • 18 篇 real-time system...
  • 15 篇 predictive model...
  • 14 篇 artificial intel...
  • 13 篇 computational mo...
  • 13 篇 training
  • 12 篇 data models
  • 11 篇 feature extracti...
  • 9 篇 support vector m...
  • 9 篇 prediction algor...
  • 8 篇 authentication
  • 7 篇 optimization
  • 7 篇 machine learning...
  • 6 篇 reliability
  • 6 篇 cosmological par...
  • 6 篇 neural networks

机构

  • 22 篇 college of compu...
  • 19 篇 department of da...
  • 18 篇 fujian provincia...
  • 13 篇 fujian provincia...
  • 13 篇 institute of cos...
  • 12 篇 data science and...
  • 10 篇 department of ph...
  • 10 篇 school of mathem...
  • 10 篇 fermi national a...
  • 10 篇 department of ph...
  • 10 篇 madrid
  • 10 篇 center for cosmo...
  • 10 篇 department of ph...
  • 9 篇 national center ...
  • 9 篇 center for astro...
  • 9 篇 department of ph...
  • 9 篇 department of da...
  • 9 篇 laboratório inte...
  • 9 篇 department of as...
  • 9 篇 kavli institute ...

作者

  • 25 篇 pan jeng-shyang
  • 12 篇 huerta e.a.
  • 11 篇 chen chien-ming
  • 11 篇 wu tsu-yang
  • 10 篇 smith m.
  • 10 篇 sanchez e.
  • 10 篇 nguyen trong-the
  • 10 篇 carretero j.
  • 9 篇 miquel r.
  • 9 篇 gruendl r.a.
  • 9 篇 tarle g.
  • 9 篇 gruen d.
  • 9 篇 garcía-bellido j...
  • 9 篇 brooks d.
  • 8 篇 aguena m.
  • 8 篇 palmese a.
  • 8 篇 doel p.
  • 8 篇 james d.j.
  • 8 篇 wang king-hang
  • 8 篇 da costa l.n.

语言

  • 439 篇 英文
  • 37 篇 其他
  • 4 篇 中文
检索条件"机构=Department of Data Science and Computer Applications"
477 条 记 录,以下是191-200 订阅
排序:
Adaptive Neural Mode Selection for Optimized D2D Communication in LTE-Advanced Networks
Adaptive Neural Mode Selection for Optimized D2D Communicati...
收藏 引用
Next Generation Communication & Information Processing (INCIP), International Conference on
作者: V. Asha S. Sreekanth Ginni Nijhawan Abhishek Kaushik Mohammed Wael Mohammed Department of Computer Applications New Horizon College of Engineering Bangalore India Computer Science and Engineering (Data Science) Institute of Aeronautical Engineering Hyderabad India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Greater Noida Uttar Pradesh Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq
In LTE-Advanced networks, D2D communication comes out as a critical technology to increase the number of connections, decrease delay while improving spectral efficiency. Therefore, this paper focuses on developing an ... 详细信息
来源: 评论
Adaptive Whale Optimization Algorithm for Enhanced MM-Wave Antenna Design in 5G Networks
Adaptive Whale Optimization Algorithm for Enhanced MM-Wave A...
收藏 引用
Next Generation Communication & Information Processing (INCIP), International Conference on
作者: V. Asha S. Sreekanth Ginni Nijhawan Ashish Parmar Ali Abdulhussein Hameed Department of Computer Applications New Horizon College of Engineering Bangalore India Computer Science and Engineering (Data Science) Institute of Aeronautical Engineering Hyderabad India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Greater Noida Uttar Pradesh Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq
With the emergence of the fifth generation (5G) wireless communication systems the need for high performing antennas suitable for mmWave frequencies has come to light. The focus of this research is based on the use of... 详细信息
来源: 评论
A Smart Air Pollutants Monitoring System Using IOT Technologies
A Smart Air Pollutants Monitoring System Using IOT Technolog...
收藏 引用
Intelligent Systems for Communication, IoT and Security (ICISCoIS), International Conference on
作者: M Pyingkodi N R Wilfred Blessing K Thenmozhi K Kanimozhi L Pavithira P K Sandhya Balakrishnan Department of Computer Applications Kongu Engineering College Erode India IT Department College of Computing and Information Sciences University of Technology and Applied Sciences-Ibri(Government) Oman Department of Computer Science Kristu Jayanti College Bengaluru India Department of Information Technology Sri Krishna Adithya College of Arts and Science Coimbatore Department of Computer Science with Data Analytics PSG college of Arts & Science College Coimbatore Department of Computer Science CMS College of Science and Commerce Coimbatore
On international basis, one in all our century's essential problems is air pollutants. Every year, the range of individuals killed via way of means of pollutants climbs, with air pollutants being the main cause. T... 详细信息
来源: 评论
Estimating causal effects under network interference with Bayesian generalized propensity scores
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2022年 第1期23卷 13101-13161页
作者: Laura Forastiere Fabrizia Mealli Albert Wu Edoardo M. Airoldi Yale Institute for Network Science Yale University New Haven CT Department of Statistics Computer Science Applications University of Florence Florence Italy Department of Statistics Harvard University Cambridge MA Department of Statistics Operations and Data Science Fox School of Business Data Science Institute Temple University Philadelphia PA
Real-world systems are often comprised of interconnected units, and can be represented as networks, with nodes and edges. In a social system, for instance, individuals may have social ties and financial relationships.... 详细信息
来源: 评论
EUDRL: Explainable Uncertainty-Based Deep Reinforcement Learning for Portfolio Management
EUDRL: Explainable Uncertainty-Based Deep Reinforcement Lear...
收藏 引用
International Conference on Computing and Networking Technology (ICCNT)
作者: Jia Lina Shahab S. Banda Hao-Ting Paib Bharat S. Rawal International Graduate School of Artificial Intelligence Douliu City Yunlin Taiwan Bachelor Program of Big Data Applications National Pingtung University Pingtung Taiwan Department of Computer Science Digital Technologies University Ggrambling La USA
Supervised deep learning (SDL) has shown remarkable success in various financial applications, such as stock prediction and fraud detection. However, SDL’s reliance on class labels renders it unsuitable for portfolio... 详细信息
来源: 评论
Enhancing Communication Efficiency and Training Time Uniformity in Federated Learning through Multi-Branch Networks and the Oort Algorithm
收藏 引用
Algorithms 2024年 第2期17卷 52页
作者: Juan, Pin-Hung Wu, Ja-Ling Department of Computer Science and Information Engineering National Taiwan University Taipei106 Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taipei106 Taiwan Center for Data Intelligence: Technologies Applications and Systems National Taiwan University Taipei106 Taiwan
In this study, we present a federated learning approach that combines a multi-branch network and the Oort client selection algorithm to improve the performance of federated learning systems. This method successfully a... 详细信息
来源: 评论
A Secured Multiple Party Key Agreement Protocol Design Over Cloud Computing Platform by Using Statistical data Analysis Logic
A Secured Multiple Party Key Agreement Protocol Design Over ...
收藏 引用
Sustainable Computing and Smart Systems (ICSCSS), International Conference on
作者: Allam Balaram Sajja Suneel P.M. Kavitha Achinta Saikia S. Gopi Y Dileep Kumar Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Department of CSE(Data Science) Institute of Aeronautical Engineering Dundigal Hyderabad Telangana India Department of Computer Science and Applications SRM Institute of Science And Technology Ramapuram Chennai-89 Department of Statistics Mariani College Mariani Jorhat Assam Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Department of ECE School of Engineering Mohan Babu University Tirupati
In the field of cloud computing, ensuring secure and efficient key agreement among multiple parties has emerged as a paramount challenge. Traditional key agreement protocols often rely on central authorities or truste... 详细信息
来源: 评论
TriBoost and Beyond: Advanced Machine Learning Approaches for Diabetes Risk Prediction
TriBoost and Beyond: Advanced Machine Learning Approaches fo...
收藏 引用
Electronics and Renewable Systems (ICEARS), International Conference on
作者: Soham Biren Katlariwala Vaibhav C. Gandhi Nirav Patel Devendra Parmar Ayushi Desai B.S. Data Science and Applications Indian Institute of Technology Madras Chennai India Department of Computer Engineering MBIT The Charutar Vidya Mandal (CVM) University Anand India Parul Institute of Technology Parul University Vadodara India
Diabetes is a tremendous world health issue and, in its management, and complications prevention, proper screening is vital. This paper examines the improvement of accurate diabetes risk prediction by some advanced ma... 详细信息
来源: 评论
LF-YOLOv7: Improved YOLOv7 Based on Lightweight Modules and Novel Feature Fusion for Object Detection on Drone-Captured Scenarios
LF-YOLOv7: Improved YOLOv7 Based on Lightweight Modules and ...
收藏 引用
International Conference on Computational science and Computational Intelligence (CSCI)
作者: Wangyu Jiang Le Wang Guojun Mao Meng Sun Fayaz Ali Dharejo Ghulam Ali Mallah Fujian Provincial Key Lab of Big Data Mining&Applications Fujian University of Technology Fuzhou Fujian Province China Department of Electrical Engineering and Computer Science Khalifa Univeristy AbuDhabi UAE Department of Computer Science Shah Abdul Latif University Khairpur Pakistan
To address challenges in drone-captured images, including small-sized objects, multiple scales, and object diversity, we propose a novel lightweight and feature fusion based object detection model, called LF-YOLOv7. F... 详细信息
来源: 评论
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service  19
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Le...
收藏 引用
19th IEEE International Conference on e-science, e-science 2023
作者: Li, Zilinghan He, Shilan Chaturvedi, Pranshu Hoang, Trung-Hieu Ryu, Minseok Huerta, E.A. Kindratenko, Volodymyr Fuhrman, Jordan Giger, Maryellen Chard, Ryan Kim, Kibaek Madduri, Ravi Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States National Center for Supercomputing Applications University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Computing and Augmented Intelligence Arizona State University TempeAZ85281 United States Department of Physics University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Computer Science The University of Chicago ChicagoIL60637 United States University of Chicago Consortium for Advanced Science and Engineering ChicagoIL60637 United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL60439 United States
Cross-silo privacy-preserving federated learning (PPFL) is a powerful tool to collaboratively train robust and generalized machine learning (ML) models without sharing sensitive (e.g., healthcare of financial) local d... 详细信息
来源: 评论