咨询与建议

限定检索结果

文献类型

  • 7,773 篇 期刊文献
  • 4,465 篇 会议
  • 142 册 图书

馆藏范围

  • 12,380 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 7,313 篇 理学
    • 4,249 篇 数学
    • 2,699 篇 物理学
    • 1,208 篇 统计学(可授理学、...
    • 938 篇 生物学
    • 704 篇 系统科学
    • 623 篇 化学
    • 320 篇 地球物理学
  • 6,713 篇 工学
    • 3,600 篇 计算机科学与技术...
    • 2,633 篇 软件工程
    • 922 篇 控制科学与工程
    • 904 篇 信息与通信工程
    • 767 篇 电气工程
    • 696 篇 电子科学与技术(可...
    • 684 篇 生物工程
    • 536 篇 生物医学工程(可授...
    • 490 篇 材料科学与工程(可...
    • 488 篇 光学工程
    • 478 篇 化学工程与技术
    • 446 篇 力学(可授工学、理...
    • 399 篇 机械工程
    • 369 篇 动力工程及工程热...
    • 310 篇 仪器科学与技术
    • 250 篇 土木工程
    • 220 篇 建筑学
  • 1,245 篇 管理学
    • 763 篇 管理科学与工程(可...
    • 488 篇 图书情报与档案管...
    • 442 篇 工商管理
  • 524 篇 医学
    • 426 篇 临床医学
    • 353 篇 基础医学(可授医学...
  • 237 篇 法学
    • 209 篇 社会学
  • 190 篇 经济学
  • 154 篇 农学
  • 108 篇 教育学
  • 21 篇 文学
  • 17 篇 军事学
  • 16 篇 艺术学
  • 12 篇 哲学
  • 1 篇 历史学

主题

  • 345 篇 computer science
  • 338 篇 mathematics
  • 165 篇 machine learning
  • 122 篇 optimization
  • 121 篇 deep learning
  • 116 篇 computational mo...
  • 89 篇 polynomials
  • 87 篇 mathematical mod...
  • 84 篇 artificial intel...
  • 83 篇 graph theory
  • 73 篇 graphic methods
  • 68 篇 hadron colliders
  • 67 篇 stochastic syste...
  • 65 篇 decision making
  • 64 篇 predictive model...
  • 63 篇 higgs bosons
  • 62 篇 approximation al...
  • 62 篇 algebra
  • 62 篇 accuracy
  • 61 篇 inverse problems

机构

  • 411 篇 faculty of scien...
  • 410 篇 department for p...
  • 391 篇 department of ph...
  • 385 篇 department of ph...
  • 382 篇 department of ph...
  • 370 篇 kirchhoff-instit...
  • 331 篇 fakultät für phy...
  • 331 篇 institute of phy...
  • 326 篇 institute of phy...
  • 303 篇 department of ph...
  • 283 篇 instituto de fís...
  • 282 篇 department of ph...
  • 282 篇 dipartimento di ...
  • 272 篇 department of ph...
  • 264 篇 ictp trieste
  • 263 篇 universidade fed...
  • 256 篇 nikhef national ...
  • 254 篇 graduate school ...
  • 250 篇 department of ph...
  • 244 篇 department of ph...

作者

  • 336 篇 c. alexa
  • 336 篇 g. bella
  • 336 篇 d. calvet
  • 336 篇 c. amelung
  • 335 篇 g. spigo
  • 334 篇 j. m. izen
  • 334 篇 j. strandberg
  • 331 篇 f. siegert
  • 321 篇 r. ströhmer
  • 316 篇 m. rijssenbeek
  • 315 篇 s. jin
  • 309 篇 g. gaudio
  • 308 篇 y. tayalati
  • 307 篇 s. mohapatra
  • 294 篇 s. guindon
  • 291 篇 m. klein
  • 283 篇 a. kaczmarska
  • 273 篇 j. schaarschmidt
  • 263 篇 f. pastore
  • 263 篇 a. d. pilkington

语言

  • 11,846 篇 英文
  • 479 篇 其他
  • 52 篇 中文
  • 3 篇 日文
  • 2 篇 德文
  • 2 篇 法文
  • 2 篇 俄文
检索条件"机构=Applied Mathematics Department Computer Science Program"
12380 条 记 录,以下是171-180 订阅
排序:
Initiating the Global AI Dialogues: Laypeople Perspectives on the Future Role of genAI in Society from Nigeria, Germany and Japan  25
Initiating the Global AI Dialogues: Laypeople Perspectives o...
收藏 引用
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
作者: Michel Hohendanner Chiara Ullstein Bukola Abimbola Onyekwelu Amelia Katirai Jun Kuribayashi Olusola Babalola Arisa Ema Jens Grossklags Department of Computer Science Technical University of Munich Munich Germany and Munich Center for Digital Sciences and AI Hochschule München University of Applied Sciences Munich Germany Department of Computer Science Technical University of Munich Munich Germany Department of Mathematics and Computer Science Elizade University Ilara-Mokin Ondo State Nigeria Research Center on Ethical Legal and Social Issues Osaka University Osaka Japan Tokyo College The University of Tokyo Tokyo Japan Department of Mathematics and Computer Science Elizade University Ilara-Mokin Nigeria
来源: 评论
Reading the Readers Mind through Eye Tracking: Can AI Generated Texts Match Human Authors?  25
Reading the Readers Mind through Eye Tracking: Can AI Genera...
收藏 引用
Proceedings of the 2025 Symposium on Eye Tracking Research and Applications
作者: Chaudhary Muhammad Aqdus Ilyas Sifat-E Noor Ashkan Tashk Bart Cooreman Sofie Beier Per Bækgaard Department of Applied Mathematics and Computer Science Section for Cognitive Systems Technical University of Denmark Kgs. Lyngby Denmark Technical University of Denmark Kgs. Lyngby Denmark Department of Applied Mathematics and Computer Science Section for Cognitive Systems Denmark Technical University Kgs. Lyngby Denmark Centre for Visibility Design Royal Danish Academy Copenhagen Denmark Royal Danish Academy Copenhagen Denmark
来源: 评论
Machine Learning-Based Prediction of Heavy Rainfall Days in the Northern Himalayas: A Case Study of Shimla, Srinagar and Kargil
Machine Learning-Based Prediction of Heavy Rainfall Days in ...
收藏 引用
Cognitive Computing in Engineering, Communications, sciences and Biomedical Health Informatics (IC3ECSBHI), International Conference on
作者: Harshita Singh Bhumika Rana Sushil Kumar Anurag Singh Baghel Jagabandhu Panda Nikhil Singh Department of Computer Science Gautam Buddha University Greater Noida India Department of Applied Mathematics Gautam Buddha University Greater Noida India Department of Earth and Atmospheric Sciences National Institute of Technology Rourkela India
In regions vulnerable to heavy rainfall, such as the north Himalayan region of India, which includes the states of Himachal Pradesh, Jammu & Kashmir and Union Territory of Ladakh, an effective disaster management ... 详细信息
来源: 评论
InfoGain Wavelets: Furthering the Design of Diffusion Wavelets for Graph-Structured Data
arXiv
收藏 引用
arXiv 2025年
作者: Johnson, David R. Krishnaswamy, Smita Perlmutter, Michael Program in Computing Boise State University BoiseID United States Department of Computer Science Department of Genetics Yale University New HavenCT United States Department of Mathematics Program in Computing Boise State University BoiseID United States
Diffusion wavelets extract information from graph signals at different scales of resolution by utilizing graph diffusion operators raised to various powers, known as diffusion scales. Traditionally, the diffusion scal... 详细信息
来源: 评论
Improved Compact Genetic Algorithms with Efficient Caching
arXiv
收藏 引用
arXiv 2025年
作者: Dutta, Prasanta Mukhopadhyay, Anirban Physics and Applied Mathematics Unit Indian Statistical Institute West Bengal Kolkata700108 India Department of Computer Science and Engineering University of Kalyani West Bengal Kalyani741235 India
Compact Genetic Algorithms (cGAs) are condensed variants of classical Genetic Algorithms (GAs) that use a probability vector representation of the population instead of the complete population. cGAs have been shown to... 详细信息
来源: 评论
Extracting Commuters from Automated Road Traffic Counters: A Gaussian Mixture Approach
收藏 引用
Data science for Transportation 2025年 第2期7卷 1-28页
作者: Brustad, Hilde Kjelgaard Midtbø, Jørgen E. Tomba, Gianpaolo Scalia Kivelä, Mikko Gregersen, Fredrik Alexander Alessandretti, Laura Oslo Center for Biostatistics and Epidemiology Oslo University Hospital Oslo Norway Department of Method Development and Analytics Norwegian Institute of Public Health Oslo Norway Department of Mathematics Stockholm University Stockholm Sweden Universita’ di Roma Tor Vergata Rome Italy Department of Computer Science Aalto University Espoo Finland Institute of Transportation economics Gaustadalleén 21 Oslo 0349 Norway Department of Applied Mathematics and Computer Science Technical University of Denmark Kongens Lyngby 2800 Denmark
Assessing traffic patterns is important for many applications such as rush hour traffic management, cross-border commuting statistics, transportation disruption assessment, and crisis management. We present a method f... 详细信息
来源: 评论
Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
arXiv
收藏 引用
arXiv 2025年
作者: Laus, Hannah Parkinson, Suzanna Charisopoulos, Vasileios Krahmer, Felix Willett, Rebecca Department of Mathematics Technical University of Munich Germany Germany Committee on Computational and Applied Mathematics University of Chicago United States Data Science Institute University of Chicago United States Technical University of Munich Germany Department of Computer Science University of Chicago United States Department of Statistics University of Chicago United States
Machine learning methods are commonly used to solve inverse problems, wherein an unknown signal must be estimated from few measurements generated via a known acquisition procedure. In particular, neural networks perfo... 详细信息
来源: 评论
Blockchain Empowered Secure Federated Learning for Consumer IoT Applications in Cloud-Edge Collaborative Environment
收藏 引用
IEEE Transactions on Consumer Electronics 2025年
作者: Kumar, Mohit Samriya, Jitendra Kumar Walia, Guneet Kaur Verma, Prabal Wu, Huaming Gill, Sukhpal Singh National Institute of Technology Department of Information Technology Jalandhar India Indian Institute of Information Technology Computer Science and Engineering Sonepat India National Institute of Technology Department of Information Technology Srinagar India Tianjin University Center for Applied Mathematics Tianjin China Queen Mary University of London School of Electronic Engineering and Computer Science United Kingdom
The growing number of consumer Internet of Things (IoT) gadgets, including smart homes, fitness trackers, connected appliances, and home security systems, is transforming the way we live our daily lives. This has led ... 详细信息
来源: 评论
Symmetry Resolved Entanglement with Up1q Symmetry: Some Closed Formulae for Excited States
arXiv
收藏 引用
arXiv 2025年
作者: Castro-Alvaredo, Olalla A. Santamaría-Sanz, Lucía Department of Mathematics City University of London 10 Northampton Square EC1V 0HB United Kingdom Department of Applied Mathematics and Computer Science University of Burgos Hospital del Rey s/n Burgos09001 Spain
In this work, we revisit a problem we addressed in previous publications with various collaborators, that is, the computation of the symmetry resolved entanglement entropies of zero-density excited states in infinite ... 详细信息
来源: 评论
Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
arXiv
收藏 引用
arXiv 2025年
作者: Wang, Emily Chen, Michael Li, Chao School of Information Technology Lakeside College Ohio United States Department of Applied Mathematics North River University Manchester United Kingdom Department of Computer Science Eastern Asia Institute of Technology Beijing China
In this paper, we propose a novel uncertainty-aware graph self-training approach for semi-supervised node classification. Our method introduces an Expectation-Maximization (EM) regularization scheme to incorporate an ... 详细信息
来源: 评论