咨询与建议

限定检索结果

文献类型

  • 77,077 篇 会议
  • 48,243 篇 期刊文献
  • 43 册 图书

馆藏范围

  • 125,363 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 76,908 篇 工学
    • 51,657 篇 计算机科学与技术...
    • 42,029 篇 软件工程
    • 18,691 篇 信息与通信工程
    • 12,425 篇 控制科学与工程
    • 10,521 篇 电气工程
    • 9,736 篇 电子科学与技术(可...
    • 9,541 篇 生物工程
    • 7,619 篇 生物医学工程(可授...
    • 6,742 篇 光学工程
    • 5,173 篇 机械工程
    • 4,491 篇 化学工程与技术
    • 4,236 篇 动力工程及工程热...
    • 4,047 篇 仪器科学与技术
    • 3,538 篇 材料科学与工程(可...
    • 3,214 篇 网络空间安全
    • 3,058 篇 安全科学与工程
  • 45,895 篇 理学
    • 22,612 篇 数学
    • 15,052 篇 物理学
    • 10,968 篇 生物学
    • 7,529 篇 统计学(可授理学、...
    • 5,095 篇 化学
    • 4,958 篇 系统科学
  • 20,218 篇 管理学
    • 12,684 篇 管理科学与工程(可...
    • 8,205 篇 图书情报与档案管...
    • 5,988 篇 工商管理
  • 7,839 篇 医学
    • 6,331 篇 临床医学
    • 5,616 篇 基础医学(可授医学...
    • 3,415 篇 药学(可授医学、理...
    • 3,318 篇 公共卫生与预防医...
  • 3,818 篇 法学
    • 3,239 篇 社会学
  • 2,317 篇 经济学
  • 1,711 篇 农学
  • 1,435 篇 教育学
  • 636 篇 文学
  • 255 篇 军事学
  • 174 篇 艺术学
  • 25 篇 哲学
  • 18 篇 历史学

主题

  • 3,501 篇 accuracy
  • 3,314 篇 computer science
  • 3,066 篇 deep learning
  • 2,647 篇 machine learning
  • 2,558 篇 computational mo...
  • 2,525 篇 feature extracti...
  • 2,334 篇 training
  • 1,678 篇 predictive model...
  • 1,638 篇 internet of thin...
  • 1,577 篇 real-time system...
  • 1,558 篇 optimization
  • 1,515 篇 convolutional ne...
  • 1,492 篇 support vector m...
  • 1,317 篇 data models
  • 1,146 篇 neural networks
  • 1,142 篇 data mining
  • 1,099 篇 semantics
  • 1,073 篇 wireless sensor ...
  • 1,008 篇 computer archite...
  • 995 篇 security

机构

  • 1,090 篇 cavendish labora...
  • 1,017 篇 department of ph...
  • 967 篇 physikalisches i...
  • 954 篇 oliver lodge lab...
  • 935 篇 university of ch...
  • 564 篇 fakultät physik ...
  • 539 篇 department of ph...
  • 538 篇 horia hulubei na...
  • 537 篇 school of physic...
  • 534 篇 imperial college...
  • 533 篇 school of physic...
  • 532 篇 department of el...
  • 514 篇 h.h. wills physi...
  • 506 篇 stfc rutherford ...
  • 506 篇 nikhef national ...
  • 487 篇 henryk niewodnic...
  • 486 篇 school of comput...
  • 485 篇 school of physic...
  • 480 篇 center for high ...
  • 478 篇 infn sezione di ...

作者

  • 271 篇 a. gomes
  • 255 篇 barter w.
  • 254 篇 c. alexa
  • 254 篇 d. calvet
  • 252 篇 niyato dusit
  • 251 篇 j. m. izen
  • 245 篇 s. chen
  • 244 篇 g. bella
  • 243 篇 j. strandberg
  • 243 篇 c. amelung
  • 233 篇 beiter a.
  • 229 篇 blake t.
  • 223 篇 bellee v.
  • 223 篇 bowcock t.j.v.
  • 219 篇 betancourt c.
  • 218 篇 amato s.
  • 217 篇 g. spigo
  • 216 篇 boettcher t.
  • 215 篇 brundu d.
  • 215 篇 borsato m.

语言

  • 118,384 篇 英文
  • 5,761 篇 其他
  • 1,162 篇 中文
  • 122 篇 日文
  • 19 篇 德文
  • 15 篇 法文
  • 10 篇 朝鲜文
  • 6 篇 荷兰文
  • 5 篇 斯洛文尼亚文
  • 3 篇 西班牙文
  • 2 篇 俄文
检索条件"机构=Department of Computer Science and Engineering School of Computing"
125363 条 记 录,以下是71-80 订阅
排序:
Stroke-GAN Painter:Learning to paint artworks using stroke-style generative adversarial networks
收藏 引用
Computational Visual Media 2023年 第4期9卷 787-806页
作者: Qian Wang Cai Guo Hong-Ning Dai Ping Li School of Computer Science and Engineering Macao University of Science and TechnologyMacaoChina Department of Computing The Hong Kong Polytechnic UniversityHong KongChina School of Computing and Information Engineering Hanshan Normal UniversityChaozhouChina Department of Computer Science Hong Kong Baptist UniversityHong KongChina School of Design The Hong Kong Polytechnic UniversityHong KongChina
It is a challenging task to teach machines to paint like human artists in a stroke-by-stroke *** advances in stroke-based image rendering and deep learning-based image rendering,existing painting methods have limitati... 详细信息
来源: 评论
Deep learning based Image Compression, Encryption, and Recovery using Chaotic map and Compressive sensing  5
Deep learning based Image Compression, Encryption, and Recov...
收藏 引用
5th International Conference on Emerging Systems and Intelligent computing, ESIC 2025
作者: Tarun, R.G. Aggarwal, Priyanshu Ashwini, K. Amrita Vishwa Vidhyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India Amrita School of Computing Department of Computer Science and Engineering Chennai India
Images are present in everything these days, from satellite photography to medical scans, and they have a profound impact on how people view and understand the world. The daily generation of an ever-increasing volume ... 详细信息
来源: 评论
Smart Nutrient Deficiency Prediction System for Groundnut Leaf
收藏 引用
Intelligent Automation & Soft computing 2023年 第5期36卷 1845-1862页
作者: Janani Malaisamy JebakumarRethnaraj Department of Computer Science and Engineering School of ComputingSRM Institute of Science and TechnologyChengalpattuTamil Nadu603203India
Prediction of the nutrient deficiency range and control of it through application of an appropriate amount of fertiliser at all growth stages is critical to achieving a qualitative and quantitative *** fertiliser in op... 详细信息
来源: 评论
SMART AGRICULTURE: INTEGRATING AIR QUALITY MONITORING WITH DEEP LEARNING FOR PROCESS OPTIMIZATION*
收藏 引用
Scalable computing 2025年 第3期26卷 1005-1016页
作者: Shobana, J. Subramanian, A Venkata Balamurugan, P. Perumal, Sivakumar Sankari, V. Eldho, K.J. Nareshkumar, R. Department of Data Science and Business Systems School of Computing College of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur India Department of Computer Science and Engineering GITAM University Bengaluru India Department of Computer Science and Engineering J N N Institute of Enginering India Saveetha university Chennai India Department of Computer Science and Engineering Sasi Institute of Technology and Engineering Andhra Pradesh Tadepalligudem India Department of Artificial Intelligence and Data Science K.Ramakrishnan College of Engineering Kariyamanickam Rd Tamil Nadu Samayapuram India PG and Research Department of Computer Science Mary Matha Arts and Science College Kerala Mananthavady India Department of Networking and Communications School of Computing College of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur India
Modernization and intense industrialization have led to a substantial improvement in people’s quality of life. However, the aspiration for achieving an improved quality of life results in environmental contamination.... 详细信息
来源: 评论
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2025年 第06期6卷 1513-1528页
作者: Zhang, Tiehua Liu, Yuze Shen, Zhishu Ma, Xingjun Qi, Peng Ding, Zhijun Jin, Jiong Tongji University School of Computer Science and Technology Shanghai China Ant Group Shanghai China Wuhan University of Technology School of Computer Science and Artificial Intelligence Wuhan China Fudan University School of Computer Science Shanghai China Tongji University Department of Control Science and Engineering Shanghai China Swinburne University of Technology School of Science Computing and Engineering Technologies Melbourne Australia
Graph neural network (GNN) has gained increasing popularity in recent years owing to its capability and flexibility in modeling complex graph structure data. Among all graph learning methods, hypergraph learning is a ... 详细信息
来源: 评论
Enhancing Secure Data Transmission Through Deep Learning-Based Image Steganography and Super-Resolution Generative Adversarial Networks
收藏 引用
SN computer science 2024年 第8期5卷 1138页
作者: Ramesh, Sreyas Sukanth, B.N. Jaswanth, Sathyavarapu Sri Singh, Rimjhim Padam Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India
In the era of multimedia technology digital images are essential and keeping them safe from unauthorised access is crucial. To address this issue, the proposed research explores the intersection of image steganography... 详细信息
来源: 评论
Convergence of Deep Learning and Forensic Methodologies Using Self-attention Integrated EfficientNet Model for Deep Fake Detection
收藏 引用
SN computer science 2024年 第8期5卷 1-12页
作者: Singh, Rimjhim Padam Sree, Nichenametla Hima Reddy, Koti Leela Sai Praneeth Jashwanth, Kandukuri Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India
The immensely increasing number of Deepfake technologies poses significant challenges to digital media integrity, leading to the immediate need for effective Deepfake detection methods. In light of the growing threat ... 详细信息
来源: 评论
computer-Aided Diagnosis Model Using Machine Learning for Brain Tumor Detection and Classification
收藏 引用
computer Systems science & engineering 2023年 第8期46卷 1811-1826页
作者: M.Uvaneshwari M.Baskar Department of Computer Science and Engineering School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathurChengalpattu603203TamilnaduIndia Department of Computing Technologies School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathurChengalpattu603203TamilnaduIndia
The Brain Tumor(BT)is created by an uncontrollable rise of anomalous cells in brain tissue,and it consists of 2 types of cancers they are malignant and benign *** benevolent BT does not affect the neighbouring healthy... 详细信息
来源: 评论
Adaptive pelican optimization with optimized mask RCNN for automatic lung cancer detection
收藏 引用
Multimedia Tools and Applications 2025年 1-21页
作者: Sudha, R. Maheswari, K.M. Uma Department of Computer Science and Engineering SRM Institute of Science and Technology Chengalpattu India Department of Computing Technologies SRM Institute of Science and Technology Chengalpattu India
Lung cancer is a prevalent and deadly disease worldwide, necessitating accurate and timely detection methods for effective treatment. Deep learning-based approaches have emerged as promising solutions for automated me... 详细信息
来源: 评论
Using DTL-MD with GANs and ResNet for Malicious Code Detection
Informatica (Slovenia)
收藏 引用
Informatica (Slovenia) 2025年 第14期49卷 63-78页
作者: Li, Yiming Xie, Tao Mei, Dongdong Department of Computer Science and Technology School of Computer Science and Engineering Ningxia Institute of Science and Technology Shizuishan753000 China
This study proposes a malicious code detection model DTL-MD based on deep transfer learning, which aims to improve the detection accuracy of existing methods in complex malicious code and data scarcity. In the feature... 详细信息
来源: 评论