咨询与建议

限定检索结果

文献类型

  • 280 篇 期刊文献
  • 204 篇 会议
  • 1 册 图书

馆藏范围

  • 485 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 271 篇 工学
    • 192 篇 计算机科学与技术...
    • 165 篇 软件工程
    • 59 篇 生物工程
    • 51 篇 生物医学工程(可授...
    • 48 篇 信息与通信工程
    • 37 篇 光学工程
    • 25 篇 电气工程
    • 23 篇 建筑学
    • 22 篇 控制科学与工程
    • 21 篇 化学工程与技术
    • 20 篇 安全科学与工程
    • 18 篇 土木工程
    • 15 篇 电子科学与技术(可...
    • 13 篇 仪器科学与技术
    • 13 篇 材料科学与工程(可...
  • 181 篇 理学
    • 81 篇 生物学
    • 66 篇 数学
    • 38 篇 物理学
    • 27 篇 统计学(可授理学、...
    • 26 篇 化学
    • 13 篇 系统科学
  • 82 篇 管理学
    • 45 篇 管理科学与工程(可...
    • 34 篇 图书情报与档案管...
    • 29 篇 工商管理
  • 76 篇 医学
    • 57 篇 临床医学
    • 52 篇 基础医学(可授医学...
    • 26 篇 公共卫生与预防医...
    • 23 篇 药学(可授医学、理...
  • 19 篇 农学
  • 17 篇 经济学
    • 17 篇 应用经济学
  • 17 篇 法学
    • 16 篇 社会学
  • 4 篇 教育学
  • 2 篇 文学

主题

  • 25 篇 machine learning
  • 21 篇 accuracy
  • 20 篇 deep learning
  • 12 篇 functional magne...
  • 11 篇 artificial intel...
  • 10 篇 security
  • 9 篇 internet of thin...
  • 9 篇 predictive model...
  • 8 篇 real-time system...
  • 8 篇 machine learning...
  • 8 篇 forecasting
  • 8 篇 convolutional ne...
  • 7 篇 support vector m...
  • 7 篇 neuroimaging
  • 7 篇 optimization
  • 6 篇 vectors
  • 6 篇 computational mo...
  • 6 篇 robustness
  • 6 篇 training
  • 5 篇 covid-19

机构

  • 15 篇 translational da...
  • 14 篇 department of el...
  • 14 篇 translational da...
  • 14 篇 department of ci...
  • 9 篇 department of co...
  • 8 篇 geospatial data ...
  • 7 篇 department of bi...
  • 6 篇 university colle...
  • 6 篇 translational da...
  • 6 篇 department of co...
  • 6 篇 geospatial data ...
  • 6 篇 harvard medical ...
  • 5 篇 leeds institute ...
  • 5 篇 center for psych...
  • 5 篇 department of in...
  • 5 篇 institute for pa...
  • 5 篇 department of st...
  • 5 篇 university of pi...
  • 5 篇 arnie charbonnea...
  • 5 篇 ilsbio llc bioba...

作者

  • 28 篇 qin rongjun
  • 20 篇 ning xia
  • 15 篇 vince d. calhoun
  • 14 篇 peng bo
  • 9 篇 chen ziqi
  • 8 篇 malathi p.
  • 7 篇 elaheh zendehrou...
  • 7 篇 song shuang
  • 7 篇 calhoun vince d.
  • 6 篇 priyadharshini r...
  • 6 篇 king irwin
  • 6 篇 chakravarthi bha...
  • 6 篇 p. malathi
  • 6 篇 vince d calhoun
  • 6 篇 albanwan hessah
  • 5 篇 bartz-beielstein...
  • 5 篇 bakas spyridon
  • 5 篇 abu-gharbieh ema...
  • 5 篇 abolhassani hass...
  • 5 篇 zhao tong

语言

  • 445 篇 英文
  • 36 篇 其他
  • 4 篇 中文
检索条件"机构=Department of Computer Science and Engineering and Translational Data Analytics Institute"
485 条 记 录,以下是211-220 订阅
排序:
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021  4
Attentive fine-tuning of Transformers for Translation of low...
收藏 引用
4th Workshop on Technologies for Machine Translation of Low-Resource Languages, LoResMT 2021
作者: Puranik, Karthik Hande, Adeep Priyadharshini, Ruba Durairaj, Thenmozi Sampath, Anbukkarasi Thamburaj, Kingston Pal Chakravarthi, Bharathi Raja Department of Computer Science Indian Institute of Information Technology Tiruchirappalli India ULTRA Arts and Science College Tamil Nadu Madurai India Sri Sivasubramaniya Nadar College of Engineering Tamil Nadu India Kongu Engineering College Tamil Nadu Erode India Sultan Idris Education University Tanjong Malim Perak Malaysia Insight SFI Research Centre for Data Analytics National University of Ireland Galway Ireland
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English→Marathi and English-Irish language pairs LoResMT 2021 shared task. The task focuses on getting exceptional translati... 详细信息
来源: 评论
Improving Compound Activity Classification via Deep Transfer and Representation Learning
arXiv
收藏 引用
arXiv 2021年
作者: Dey, Vishal Machiraju, Raghu Ning, Xia Department of Computer Science and Engineering The Ohio State University ColumbusOH United States Biomedical Informatics The Ohio State University ColumbusOH United States Translational Data Analytics Institute The Ohio State University ColumbusOH United States
Recent advances in molecular machine learning, especially deep neural networks such as Graph Neural Networks (GNNs) for predicting structure activity relationships (SAR) have shown tremendous potential in computer-aid... 详细信息
来源: 评论
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
arXiv
收藏 引用
arXiv 2024年
作者: Xu, Shengzhe Thomas, Christo Kurisummoottil Hashash, Omar Muralidhar, Nikhil Saad, Walid Ramakrishnan, Naren Sanghani Center for Artificial Intelligence and Data Analytics Computer Science Department Virginia Tech China Bradley Department of Electrical and Computer Engineering Virginia Tech ArlingtonVA United States Department of Computer Science Stevens Institute of Technology NJ United States
Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing lang... 详细信息
来源: 评论
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
arXiv
收藏 引用
arXiv 2024年
作者: Averly, Reza Ning, Xia Department of Computer Science and Engineering The Ohio State University United States Department of Biomedical Informatics The Ohio State University United States Translational Data Analytics Institute The Ohio State University United States College of Pharmacy The Ohio State University United States
Clinical named entity recognition (NER) aims to retrieve important entities within clinical narratives. Recent works have demonstrated that large language models (LLMs) can achieve strong performance in this task. Whi... 详细信息
来源: 评论
Cooperative Multi-source data Trading
Cooperative Multi-source Data Trading
收藏 引用
2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Cheng, Jin Ding, Ningning Lui, John C. S. Huang, Jianwei The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Hong Kong University of Science and Technology Data Science and Analytics Thrust Information Hub Guangzhou China The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong The Chinese University of Hong Kong School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Key Laboratory of Crowd Intelligence Empowered Low-Carbon Energy Network Csijri Joint Research Centre on Smart Energy Storage Shenzhen China
In the era of big data, data trading significantly enhances data-driven technologies by facilitating data sharing. Despite the clear advantages often experienced by data users when incorporating multiple sources, the ... 详细信息
来源: 评论
AgriLLM:Harnessing Transformers for Framer Queries
arXiv
收藏 引用
arXiv 2024年
作者: Didwania, Krish Seth, Pratinav Kasliwal, Aditya Agarwal, Amit Manipal Institute of Technology Manipal Academy of Higher Education Manipal India Department of Computer Science and Engineering India Department of Data Science & Computer Applications India Enterprise Analytics & Data Science Artificial Intelligence - Center of Excellence Wells Fargo International Solutions Private Limited Bangalore India
Agriculture, vital for global sustenance, necessitates innovative solutions due to a lack of organized domain experts, particularly in developing countries where many farmers are impoverished and cannot afford expert ... 详细信息
来源: 评论
Energetic Content based Image Retrieval Scheme using Improved Deep Learning Strategy with Image Analysis Technique  9
Energetic Content based Image Retrieval Scheme using Improve...
收藏 引用
9th IEEE International Conference on Smart Structures and Systems, ICSSS 2023
作者: Karkuzhali, S. Malathi, P. Thenmozhi, A. Aiyyasamy, Velu Keerthika, A. Uthayakumar, G.S. R.M.K. Engineering College Department of General Engineering Tamil Nadu Chennai India Simats Saveetha College of Liberal Arts and Sciences Department of Data Analytics India Kings Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Meenakshi Sundararajan Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India St. Joseph's Institute of Technology Department of Ece Tamil Nadu Chennai India
One popular approach to retrieving images from huge, unprocessed datasets is content-based image retrieval, or CBIR. The conventional ways of data retrieval, however, are not meeting the needs of consumers. The number... 详细信息
来源: 评论
AI based Stock Market Analysis and Decision Making System using Design Thinking Approach  8
AI based Stock Market Analysis and Decision Making System us...
收藏 引用
8th International Conference on Inventive Systems and Control, ICISC 202
作者: Kumar, M.Venkatesh Umamaheswari, M. Bharathi, C. Hema Maruthaveni, R. Devi, M.Nirmala Prasanna, R. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Tamilnadu Chennai India Dr. Sns Rajalakshmi College of Arts and Science Department of Business Administration Tamilnadu Coimbatore India Tamil Nadu Agricultural University Department of Physical Science and Information Technology Tamilnadu Coimbatore India Dr. Sns Rajalakshmi College of Arts and Science Department of Computer Science with Data Analytics Tamilnadu Coimbatore India Dr. Sns Rajalakshmi College of Arts and Science Department of Management Studies Tamilnadu Coimbatore India
Stock market is a dynamic and ever-changing environment that can be both exciting and challenging for investors. Equities, primarily referred to as stocks, are traded on stock exchanges around the world and reflect ow... 详细信息
来源: 评论
data driven VRP: A neural network model to learn hidden preferences for VRP
arXiv
收藏 引用
arXiv 2021年
作者: Mandi, Jayanta Canoy, Rocsildes Bucarey, Víctor Guns, Tias Data Analytics Laboratory Vrije Universiteit Brussel Belgium Institute of Engineering Sciences Universidad de o'Higgins Rancagua Chile Department of Computer Science Ku Leuven Belgium
The traditional Capacitated Vehicle Routing Problem (CVRP) minimizes the total distance of the routes under the capacity constraints of the vehicles. But more often, the objective involves multiple criteria including ... 详细信息
来源: 评论
On Aggregation in Ensembles of Multilabel Classifiers
arXiv
收藏 引用
arXiv 2020年
作者: Nguyen, Vu-Linh Hüllermeier, Eyke Rapp, Michael Mencía, Eneldo Loza Fürnkranz, Johannes Heinz Nixdorf Institute Department of Computer Science Paderborn University Germany Knowledge Engineering Group TU Darmstadt Germany Computational Data Analytics Group JKU Linz Austria
While a variety of ensemble methods for multilabel classification have been proposed in the literature, the question of how to aggregate the predictions of the individual members of the ensemble has received little at... 详细信息
来源: 评论