咨询与建议

限定检索结果

文献类型

  • 2,922 篇 会议
  • 2,311 篇 期刊文献
  • 25 册 图书

馆藏范围

  • 5,258 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 3,048 篇 工学
    • 2,378 篇 计算机科学与技术...
    • 2,011 篇 软件工程
    • 698 篇 信息与通信工程
    • 530 篇 控制科学与工程
    • 495 篇 生物工程
    • 358 篇 电气工程
    • 349 篇 生物医学工程(可授...
    • 301 篇 光学工程
    • 255 篇 电子科学与技术(可...
    • 189 篇 网络空间安全
    • 161 篇 化学工程与技术
    • 158 篇 机械工程
    • 152 篇 安全科学与工程
    • 133 篇 动力工程及工程热...
    • 115 篇 交通运输工程
    • 97 篇 仪器科学与技术
  • 1,720 篇 理学
    • 781 篇 数学
    • 568 篇 生物学
    • 512 篇 物理学
    • 318 篇 统计学(可授理学、...
    • 204 篇 化学
    • 144 篇 系统科学
  • 868 篇 管理学
    • 513 篇 管理科学与工程(可...
    • 401 篇 图书情报与档案管...
    • 238 篇 工商管理
  • 357 篇 医学
    • 304 篇 临床医学
    • 271 篇 基础医学(可授医学...
    • 166 篇 公共卫生与预防医...
    • 148 篇 药学(可授医学、理...
  • 162 篇 法学
    • 147 篇 社会学
  • 75 篇 经济学
  • 52 篇 农学
  • 50 篇 教育学
  • 24 篇 文学
  • 2 篇 军事学
  • 1 篇 艺术学

主题

  • 368 篇 accuracy
  • 292 篇 deep learning
  • 212 篇 machine learning
  • 206 篇 training
  • 189 篇 real-time system...
  • 187 篇 convolutional ne...
  • 185 篇 feature extracti...
  • 169 篇 computational mo...
  • 156 篇 predictive model...
  • 131 篇 data models
  • 108 篇 internet of thin...
  • 108 篇 artificial intel...
  • 102 篇 reinforcement le...
  • 98 篇 optimization
  • 96 篇 support vector m...
  • 90 篇 security
  • 85 篇 machine learning...
  • 84 篇 semantics
  • 77 篇 adaptation model...
  • 76 篇 measurement

机构

  • 175 篇 department of co...
  • 142 篇 moe key lab of a...
  • 81 篇 department of co...
  • 80 篇 tencent ai lab
  • 66 篇 lovely professio...
  • 51 篇 moe key lab of a...
  • 44 篇 the islamic univ...
  • 43 篇 key laboratory o...
  • 41 篇 the islamic univ...
  • 39 篇 department of co...
  • 38 篇 shanghai ai labo...
  • 37 篇 department of co...
  • 32 篇 department of co...
  • 30 篇 university of ch...
  • 30 篇 school of comput...
  • 30 篇 school of comput...
  • 29 篇 department of cs...
  • 29 篇 department of el...
  • 26 篇 department of co...
  • 25 篇 peng cheng labor...

作者

  • 107 篇 yu kai
  • 98 篇 zhao hai
  • 57 篇 qian yanmin
  • 56 篇 yan junchi
  • 41 篇 zhang zhuosheng
  • 36 篇 chen xie
  • 33 篇 li zuchao
  • 31 篇 yanmin qian
  • 30 篇 al-turjman fadi
  • 29 篇 chen lu
  • 27 篇 lyu michael r.
  • 25 篇 fadi al-turjman
  • 23 篇 zhu su
  • 22 篇 zhu jun
  • 21 篇 guo yiwei
  • 21 篇 junchi yan
  • 21 篇 liu tongliang
  • 20 篇 ramiz salama
  • 19 篇 han bo
  • 18 篇 pareek piyush ku...

语言

  • 3,533 篇 英文
  • 1,720 篇 其他
  • 15 篇 中文
  • 3 篇 德文
  • 2 篇 朝鲜文
  • 1 篇 阿拉伯文
  • 1 篇 法文
  • 1 篇 俄文
检索条件"机构=Department of Computer Science and Engineering in AI and ML"
5258 条 记 录,以下是891-900 订阅
排序:
Locate N’ Rotate: Two-Stage Openable Part Detection with Foundation Model Priors  17th
Locate N’ Rotate: Two-Stage Openable Part Detection with F...
收藏 引用
17th Asian Conference on computer Vision, ACCV 2024
作者: Li, Siqi Chen, Xiaoxue Cheng, Haoyu Zhou, Guyue Zhao, Hao Tian, Guanzhong Ningbo innovation Center Zhejiang University Hangzhou China College of Control Science and Engineering Zhejiang University Hangzhou China Institute for AI Industry Research Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China
Detecting the openable parts of articulated objects is crucial for downstream applications in intelligent robotics, such as pulling a drawer. This task poses a multitasking challenge due to the necessity of understand... 详细信息
来源: 评论
Data Fusion and Analysis Techniques for Enhanced Decision-Making in IoT Environments  7
Data Fusion and Analysis Techniques for Enhanced Decision-Ma...
收藏 引用
7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023
作者: Deepa, S. Radhika, M. Diwakar, Meenakshi Rufina, Princy Nithya, A. Mohanapriya, M. Panimalar Engineering College Department of Electronics and Communication Engineering Tamilnadu Chennai India R.M.D. Engineering College Department of Information Technology Tamilnadu Chennai India S.A Engineering College Department of AI & DS Tamilnadu Chennai India Prince Shri Venkateswara Padmavathy Engineering College Department of Computer Science and Engineering Tamilnadu Chennai India R.M.K.College of Engineering and Technology Department of Computer Science and Engineering Tamilnadu Chennai India Jeppiar Institute of Technology Department of AI & DS Tamilnadu Chennai India
The proliferation of Internet of Things (IoT) devices has resulted in an inundation of diverse data sets that have the potential to considerably improve decision-making across many domains. This research work investig... 详细信息
来源: 评论
Enhancing Human-Robot Interaction through Natural Language Processing and Speech Recognition Techniques
Enhancing Human-Robot Interaction through Natural Language P...
收藏 引用
International Conference on Computational and Characterization Techniques in engineering & sciences (CCTES)
作者: Thotakura Veeranna K. Pavan Kumar Mahadeva Aruna Amit Verma Thanu Kurian Department of CSE(AI&ML) Sai Spurthi Institute of Technology B. Gangaram India Department of Electronics & Communication Engineering (ECE) K.S.R.M College of Engineering(Autonomous) Kadapa India Computer Science and Engineering Sai Spurthi Institute of Technology B. Gangaram India Department of Computer Science and Engineering Dr. K N Modi University Newai Rajasthan India Department of AI &ML New Horizon College of Engineering Bangalore India
The rapid development of artificial intelligence (ai) has resulted in the gradual integration of robots into individuals' everyday lives and professional environments. The use of image recognition employing the ro... 详细信息
来源: 评论
Melanoma Detection Using Deep Learning
Melanoma Detection Using Deep Learning
收藏 引用
Artificial Intelligence and Quantum Computation-Based Sensor Application (ICaiQSA), International Conference on
作者: B Venkatesh S. Annapoorna Atoshi Das P. Renusree R. Sindhuja Dept of Computer Science and Engineering BVRIT HYDERABAD college of Engineering for Women Hyderabad India Dept of CSE (AI& ML) BVRIT HYDERABAD College of Engineering for Women Hyderabad India
Melanoma is the deadliest type of skin cancer, so early detection is essential and requires accurate identification. With performance on par with dermatologists, Convolutional Neural Network (CNN) based classifiers ha... 详细信息
来源: 评论
A Solution to finding Fruit Freshness Index using computer Vision
A Solution to finding Fruit Freshness Index using Computer V...
收藏 引用
Emerging Smart Computing and Informatics (ESCI), Conference on
作者: S Ashwin Raja T.R. Vijay Srivatsan G. Maragatham Computer Science with AI & ML SRMIST KTR Chennai India Department of Computational Intelligence SRM Institute Of Science And Technology KTR
Fruits have now become a product to the market's eye, as fruits being the top recommended food to be consumed for better health, the prices drive higher and higher day by day. The main reason for the increase in t... 详细信息
来源: 评论
Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction
Moleco: Molecular Contrastive Learning with Chemical Languag...
收藏 引用
2024 Conference on Empirical Methods in Natural Language Processing: Industry Track, EMNLP 2024
作者: Park, Jun-Hyung Park, Hyuntae Kim, Yeachan Lim, Woosang Lee, SangKeun Division of Language & AI Hankuk University of Foreign Studies Korea Republic of Department of Artificial Intelligence Korea University Korea Republic of POSCO Holdings Korea Republic of Department of Computer Science and Engineering Korea University Korea Republic of
Pre-trained chemical language models (CLMs) excel in the field of molecular property prediction, utilizing string-based molecular descriptors such as SMILES for learning universal representations. However, such string... 详细信息
来源: 评论
ON THE HUMANITY OF CONVERSATIONAL ai: EVALUATING THE PSYCHOLOGICAL PORTRAYAL OF LLMS  12
ON THE HUMANITY OF CONVERSATIONAL AI: EVALUATING THE PSYCHOL...
收藏 引用
12th International Conference on Learning Representations, ICLR 2024
作者: Huang, Jen-Tse Wang, Wenxuan Li, Eric John Lam, Man Ho Ren, Shujie Yuan, Youliang Jiao, Wenxiang Tu, Zhaopeng Lyu, Michael R. Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Tencent AI Lab China Institute of Psychology Tianjin Medical University China School of Data Science The Chinese University of Hong Kong Shenzhen China
Large Language Models (LLMs) have recently showcased their remarkable capacities, not only in natural language processing tasks but also across diverse domains such as clinical medicine, legal consultation, and educat... 详细信息
来源: 评论
Emotionally Intelligent Edtech: A CNN Perspective
Emotionally Intelligent Edtech: A CNN Perspective
收藏 引用
Computational Intelligence and Computing Applications (ICCICA), International Conference on
作者: Mehak Goel Akshat Mittal Mitu Sehgal Department of Computer Science & Engineering (AI & DS) Panipat Institute of Engineering and Technology Panipat India
This study addresses the absence of immediate emotional feedback in online education by utilizing computer vision and deep learning to create a real-time emotion recognition system. Despite encountering technological ... 详细信息
来源: 评论
Facial Emotion Recognition with Convolutional Neural Networks using DL  2
Facial Emotion Recognition with Convolutional Neural Network...
收藏 引用
2nd International Conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024
作者: Rao, M. Srinivasa Kiran, Ajmeera Naik, S.K. Lokesh Kumar, A. Pramod Swamy, K. Kotaiah Devika, P. Mlr Institute of Technology Department of Electronics and Communication Engineering Hyderabad India Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad India and Ai&ds Hyderabad India Aiml Vnr Vignana Jyothi Institute of Enginnering and Technology Department of Cse Hyderabad India
In this universe, facial expressions reveal a person's mood. One thing is certain: every expression expresses feelings. Artificial intelligence (ai) lets us distinguish a variety of emotions, even though everyone ... 详细信息
来源: 评论
Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks  30
Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LL...
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: Zhou, Ruiyang Chen, Lu Yu, Kai X-LANCE Lab Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence SJTU AI Institute Shanghai Jiao Tong University Shanghai China Suzhou Laboratory Suzhou China
The use of large language models (LLM), especially ChatGPT, to help with research has come into practice. Researchers use it for timely advice and hope to obtain in-depth feedback. However, can LLM be a qualified and ... 详细信息
来源: 评论