咨询与建议

限定检索结果

文献类型

  • 1,183 篇 会议
  • 409 篇 期刊文献

馆藏范围

  • 1,592 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 881 篇 工学
    • 625 篇 计算机科学与技术...
    • 531 篇 软件工程
    • 195 篇 信息与通信工程
    • 135 篇 控制科学与工程
    • 128 篇 生物工程
    • 117 篇 生物医学工程(可授...
    • 104 篇 光学工程
    • 91 篇 电气工程
    • 77 篇 电子科学与技术(可...
    • 56 篇 动力工程及工程热...
    • 54 篇 化学工程与技术
    • 48 篇 力学(可授工学、理...
    • 47 篇 仪器科学与技术
    • 46 篇 安全科学与工程
    • 43 篇 机械工程
  • 584 篇 理学
    • 277 篇 数学
    • 184 篇 物理学
    • 144 篇 生物学
    • 119 篇 统计学(可授理学、...
    • 66 篇 地球物理学
    • 62 篇 化学
    • 53 篇 系统科学
  • 254 篇 管理学
    • 155 篇 管理科学与工程(可...
    • 117 篇 图书情报与档案管...
    • 96 篇 工商管理
  • 118 篇 医学
    • 97 篇 临床医学
    • 89 篇 基础医学(可授医学...
    • 56 篇 公共卫生与预防医...
    • 52 篇 药学(可授医学、理...
  • 47 篇 法学
    • 40 篇 社会学
  • 35 篇 经济学
  • 27 篇 农学
  • 7 篇 教育学
  • 6 篇 文学
  • 5 篇 军事学
  • 1 篇 哲学
  • 1 篇 艺术学

主题

  • 127 篇 accuracy
  • 67 篇 computational mo...
  • 65 篇 real-time system...
  • 59 篇 machine learning
  • 57 篇 deep learning
  • 55 篇 training
  • 52 篇 predictive model...
  • 44 篇 feature extracti...
  • 43 篇 convolutional ne...
  • 39 篇 machine learning...
  • 33 篇 data models
  • 30 篇 analytical model...
  • 27 篇 internet of thin...
  • 27 篇 visualization
  • 25 篇 adaptation model...
  • 24 篇 forecasting
  • 23 篇 prediction algor...
  • 22 篇 reliability
  • 22 篇 medical services
  • 22 篇 security

机构

  • 12 篇 dept. of ece the...
  • 10 篇 dept. of compute...
  • 9 篇 space telescope ...
  • 8 篇 dept. of eee por...
  • 8 篇 dept. of computa...
  • 7 篇 dept. of compute...
  • 7 篇 nasa ames resear...
  • 7 篇 computational co...
  • 6 篇 kalinga universi...
  • 6 篇 data science and...
  • 6 篇 dept. of informa...
  • 6 篇 dept. of computa...
  • 6 篇 center for astro...
  • 5 篇 university of th...
  • 5 篇 dept. of computa...
  • 5 篇 artificial intel...
  • 5 篇 theoretical divi...
  • 5 篇 graphic era hill...
  • 5 篇 velagapudi ramak...
  • 5 篇 dept. of artific...

作者

  • 13 篇 sultanus salehin
  • 13 篇 löhner rainald
  • 12 篇 ashwini kodipall...
  • 11 篇 akib jayed islam
  • 10 篇 kodipalli ashwin...
  • 10 篇 munch elizabeth
  • 9 篇 iwata tetsu
  • 9 篇 yuyun
  • 7 篇 baum joseph d.
  • 7 篇 tymochko sarah
  • 7 篇 khasawneh firas ...
  • 7 篇 rao trupthi
  • 7 篇 trupthi rao
  • 6 篇 brill ryan s.
  • 6 篇 ravishankar saip...
  • 6 篇 shoeibi afshin
  • 6 篇 venu nookala
  • 6 篇 deepak upadhyay
  • 6 篇 wyner abraham j.
  • 6 篇 shreya paul

语言

  • 1,504 篇 英文
  • 80 篇 其他
  • 6 篇 朝鲜文
  • 4 篇 日文
  • 1 篇 中文
检索条件"机构=Dept. Computational Data Science and Engineering"
1592 条 记 录,以下是91-100 订阅
排序:
Cardiovascular Disease Prediction with Machine Learning Algorithms and Interpretation using Explainable AI methods: LIME & SHAP  3
Cardiovascular Disease Prediction with Machine Learning Algo...
收藏 引用
3rd International Conference for Advancement in Technology, ICONAT 2024
作者: Pratheek, N. Balaji Yashas, D.H. Bhanu Prakash, Y.R. Bharadwaj, Anirudh M Kodapalli, Ashwini Rao, Trupthi Global Academy of Technology Dept. of Information Science & Engineering Karnataka Bengaluru India Global Academy of Technology Dept of Artificial Intelligence & Data Science Karnataka Bengaluru India
Every year a third of the population dies due to cardiovascular disease and these numbers grow exponentially which is one of the leading cause of deaths. Cardiovascular disease is a group of disorders that affect the ... 详细信息
来源: 评论
Internet of Things IoMT data Aggregation Using Machine Learning  2
Internet of Things IoMT Data Aggregation Using Machine Learn...
收藏 引用
2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024
作者: Pulabaigari, Lakshmi Sagar Sivakumar, C. School of Computing Mohan Babu University Dept. of Computer Science and Engineering Andhra Pradesh Tirupati India School of Computing Mohan Babu University Dept. of Data Science Andhra Pradesh Tirupati India
The Internet of Things (IoT) has revolutionized the way data is handled and collected, allowing for large amounts of information to be revolutionized quickly and efficiently. This has paved the way for Machine Learnin... 详细信息
来源: 评论
Sparse Channel Estimation in Massive MIMO Systems Using Compressed Sensing and Neural Networks
Sparse Channel Estimation in Massive MIMO Systems Using Comp...
收藏 引用
2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
作者: Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India ABV Indian Institute of Information Technology and Management Data Science and Quantum Computing Gwalior India
In this paper, based on compressed sensing and neural networks, we present an intelligent sparse channel estimation technique for Massive MIMO systems. We show that our approach improves considerably the estimation ac... 详细信息
来源: 评论
Predicting CO and NOx Emissions from a Gas Turbine Using Machine Learning Techniques
Predicting CO and NOx Emissions from a Gas Turbine Using Mac...
收藏 引用
AIAA SciTech Forum and Exposition, 2023
作者: Shahadat, Muhammad Rubayat Bin Murillo, Michael S. Jaberi, Farhad A. Michigan State University Dept. of Computational Mathematics Science and Engineering Dept. of Chemical Engineering and Materials Science East LansingMI48824 United States Michigan State University Dept. of Mechanical Engineering East LansingMI48824 United States
CO and NOx are emitted from various sources among which gas turbine power plants play a significant role. CO and NOx emissions from a gas turbine are dependent on various factors such as ambient temperature, pressure,... 详细信息
来源: 评论
Firefly Algorithm Approach for Recovering the Mathematical Structure of One-Dimensional Chaotic Maps from Time Series data  3
Firefly Algorithm Approach for Recovering the Mathematical S...
收藏 引用
3rd International Conference on Computer Technologies, ICCTech 2024
作者: Galvez, Akemi Fister, Iztok Fister, Iztok Iglesias, Andres University of Cantabria Dept. of Applied Mathematics & Computational Sciences Santander Spain University of Maribor Faculty of Electrical Engineering & Computer Science Maribor Slovenia
Uncovering the mathematical structure of unknown chaotic systems from limited time series data poses a significant challenge in the field of dynamical systems, with broad applications across various domains. In this p... 详细信息
来源: 评论
Deep Learning for Channel Prediction in Non-Stationary Wireless Fading Environments
Deep Learning for Channel Prediction in Non-Stationary Wirel...
收藏 引用
2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
作者: Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India Data Science and Quantum Computing ABV Indian Institute of Information Technology and Management Gwalior India
In non-stationary wireless fading channels deep learning models are effective in predicting channel states as indicated by this study. This work compared the LSTM and GRU models with autoregressive methods or Kalman f... 详细信息
来源: 评论
Secrecy Capacity Optimization in RF/FSO Systems: Impact of Mixed Rayleigh and Log-Normal Fading with Atmospheric Turbulence
Secrecy Capacity Optimization in RF/FSO Systems: Impact of M...
收藏 引用
2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024
作者: Upadhyay, Deepak Sharma, Kunj Bihari Gupta, Mridul Upadhyay, Abhay Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Computer Science and Engineering Dehradun India Graphic Era deemed to be University Dept. of Electronics and Communication Engineering Dehradun India ABV Indian Institute of Information Technology and Management Data Science and Quantum Computing Gwalior India
This paper investigates the secrecy capacity optimization in RF/FSO systems with mixed Rayleigh and log-normal fading, while masking eavesdroppers channel state information () as well as suffering from atmospheric tur... 详细信息
来源: 评论
Image Segmentation Survey: Classical and Deep Learning Methods  4
Image Segmentation Survey: Classical and Deep Learning Metho...
收藏 引用
4th IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024
作者: Bachani, Viren Roychowdhury, Anish Dasgupta, Abhijit Ei-Alfy, Hazem BSc. Data Science SP Jain School of Global Management Sydney Australia SP Jain School of Global Management Data Science Dept. Sydney Australia SP Jain School of Global Management Data Science Dept. Mumbai India School of Computer Science University of Sydney Sydney Australia Alexandria University Faculty of Engineering Alexandria Egypt
Image segmentation is a prerequisite to almost all computer vision applications. It enables the extraction of meaningful information from visual inputs by partitioning images into segments with shared features. This r... 详细信息
来源: 评论
Early Cancer Detection Through Deep Learning Analysis of CT Scan Imagery  5
Early Cancer Detection Through Deep Learning Analysis of CT ...
收藏 引用
5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024
作者: Koreddi, Venkatesh Ravi Kumar, A.V. Bai, Kshatriya Vinaya Sree Sani, Siva Ramakrishna Dept.of Artificial Intelligence and Data Science Andhra Pradesh Vijayawada India dept. of Elecrical and Electronics Engineering Andhra Pradesh Vijayawada India
Early cancer detection is crucial for enabling effective treatment but the current methods like manually analyzing CT scan images by hand, have some significant challenges. It takes huge time and sometimes error occur... 详细信息
来源: 评论
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement  30
The Role of Syntactic Span Preferences in Post-Hoc Explanati...
收藏 引用
Joint 30th International Conference on computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Kamp, Jonathan Beinborn, Lisa Fokkens, Antske Computational Linguistics and Text Mining Lab Vrije Universiteit Amsterdam Netherlands Institute of Computer Science Campus Institute Data Science University of Göttingen Germany Dept. of Mathematics and Computer Science Eindhoven University of Technology Netherlands
Post-hoc explanation methods are an important tool for increasing model transparency for users. Unfortunately, the currently used methods for attributing token importance often yield diverging patterns. In this work, ... 详细信息
来源: 评论