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检索条件"机构=Data Science Program Computer Science Department"
24664 条 记 录,以下是4771-4780 订阅
排序:
A Multiclass Semi-Supervised Deep Convolutional Generative Adversarial Network for Music Genre Classification Using Mel-Frequency Cepstral Coefficients
A Multiclass Semi-Supervised Deep Convolutional Generative A...
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Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference
作者: Ashutosh Satapathy Neelima Duda Jaswanthi Machcha Kokila Thottempudi Department of Computer Science and Engineering Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India Department of Artificial Intelligence and Data Science Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India
The growing consumer base and expanding market for various music styles highlight the necessity of classifying music genres to cater to people's preferences. Manual music ranking is a labor-intensive process for l...
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Optimization Models for Teaching Load Formation of University Teachers
Optimization Models for Teaching Load Formation of Universit...
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AITU: Digital Generation, IEEE
作者: Diana Chigambayeva Makar Goryakin Polina Batova Department of Computational and Data Science Astana IT University Astana Kazakhstan Depatment of Computer Engineering Astana IT University Astana Kazakhstan
Functional and mathematical models for the distribution of academic workload at the stage of preparing the educational process at a university are considered, which make it possible to largely determine the uniformity... 详细信息
来源: 评论
Behavior Profiling of Role-Playing Game Players Based on Heuristic Event Log Mining  25th
Behavior Profiling of Role-Playing Game Players Based on Heu...
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25th International computer Symposium on New Trends in computer Technologies and Applications, ICS 2022
作者: Lin, Jason Tsai, Chia-Wei Yang, Chun-Wei Lafortune, Elie Department of Computer Science and Engineering National Chung Hsing University Taichung40227 Taiwan Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung404 Taiwan Master Program for Digital Health Innovation College of Humanities and Sciences China Medical University Taichung406040 Taiwan
In this paper, we propose a novel player behavior model called the action priority model (APM) for representing player action behaviors. A play log is stored based on the game grammar under analysis, and heuristic fil... 详细信息
来源: 评论
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
On the Robustness of Cross-Concentrated Sampling for Matrix ...
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Annual Conference on Information sciences and Systems (CISS)
作者: HanQin Cai Longxiu Huang Chandra Kundu Bowen Su Department of Statistics and Data Science Department of Computer Science University of Central Florida Orlando FL USA Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East Lansing MI USA Department of Statistics and Data Science University of Central Florida Orlando FL USA Department of Mathematics Michigan State University East Lansing MI USA
Matrix completion is one of the crucial tools in modern data science research. Recently, a novel sampling model for matrix completion coined cross-concentrated sampling (CCS) has caught much attention. However, the ro...
来源: 评论
Retraction Note: A Systematic Survey on Implementation of Fuzzy Regression Models for Real Life Applications
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Archives of Computational Methods in Engineering 2025年 1-2页
作者: Khan, Mufala Kumar, Rakesh Aledaily, Arwa N. Kariri, Elham Viriyasitavat, Wattana Yadav, Kusum Dhiman, Gaurav Kaur, Amandeep Sharma, Ashutosh Vimal, S. Department of Mathematics Lovely Professional University Phagwara India College of Computer Science and Engineering University of Ha’il Hail Saudi Arabia College of Computer Science and Engineering Prince Sattam Bin Abdulaziz University Al‑Kharj Saudi Arabia Business Information Technology Division Department of Statistics Faculty of Commerce and Accountancy Chulalongkorn University Bangkok Thailand Department of Computer Science Government Bikram College of Commerce Patiala India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon University Centre for Research and Development Department of Computer Science and Engineering Chandigarh University Gharuan India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India School of Computer Science University of Petroleum and Energy Studies Dehradun India Department of Artificial Intelligence and Data Science Ramco Institute of Technology Rajaplayam India
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Sparse graph counting and Kelley–Meka bounds for binary systems
arXiv
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arXiv 2023年
作者: Filmus, Yuval Hatami, Hamed Hosseini, Kaave Kelman, Esty The Henry & Marilyn Taub Faculty of Computer Science Faculty of Mathematics Technion School of Computer Science McGill University Canada Department of Computer Science University of Rochester United States Department of Computer Science Department of Computing & Data Sciences Boston University CSAIL Massachusetts Institute of Technology United States
In a recent breakthrough, Kelley and Meka (FOCS 2023) obtained a strong upper bound on the density of sets of integers without non-trivial three-term arithmetic progressions. In this work, we extend their result, esta... 详细信息
来源: 评论
AI – Based Aircraft Recognition System
AI – Based Aircraft Recognition System
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Artificial Intelligence, Computational Electronics and Communication System (AICECS), International Conference on
作者: N K Shiva Chandra Rajath Anirudhan Department of Data Science and Computer Applications Manipal Institute of Technology Manipal Academy of Higher Education Manipal Karnataka India
The project “AI-Based Aircraft Recognition System” aims to develop an advanced system for automatically recognizing and identifying aircraft using AI techniques. The increasing role of artificial intelligence (AI) i... 详细信息
来源: 评论
Vegetation Coverage and Urban Amenity Mapping Using computer Vision and Machine Learning
Vegetation Coverage and Urban Amenity Mapping Using Computer...
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3rd International Conference on Image Processing and Vision Engineering, IMPROVE 2023
作者: Karkut, Nicholas Kiriluk, Alexey Zhang, Zihao Zhu, Zhigang Computer Science Department The City College of New York - CUNY New YorkNY10031 United States Graduate Landscape Architecture Program The City College of New York - CUNY New YorkNY10031 United States PhD Program in Computer Science The Graduate Center - CUNY New YorkNY10016 United States
This paper proposes a computer vision-based workflow that analyses Google 360-degree street views to understand the quality of urban spaces regarding vegetation coverage and accessibility of urban amenities such as be... 详细信息
来源: 评论
Provable Statistical Rates for Consistency Diffusion Models
arXiv
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arXiv 2024年
作者: Dou, Zehao Chen, Minshuo Wang, Mengdi Yang, Zhuoran Department of Statistics and Data Science Yale University United States Electrical and Computer Engineering Princeton University United States
Diffusion models have revolutionized various application domains, including computer vision and audio generation. Despite the state-of-the-art performance, diffusion models are known for their slow sample generation d... 详细信息
来源: 评论
Adaptive Learning in Multiagent Systems Using Brain-computer Interfaces
Adaptive Learning in Multiagent Systems Using Brain-Computer...
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Disruptive Technologies (ICDT), International Conference on
作者: Jagjit Singh Dhatterwal Kuldeep Singh Kaswan Nitin Thapliyal Kiran Malik Artificial Intelligence and Data Science Koneru Lakshmaiah Education Foundation Guntur AP India Department of Computer Science and Engineering Galgotias University Greater Noida UP India Department of Computer Science and Engineering Graphic Era Hills University Dehradun Uttarakhand India Department of Computer Science and Engineering Matu Ram Institute of Engineering and Management Rohtak Haryana India
Adaptive learning in multiagent systems has emerged as a promising approach to enhance agents' capabilities to adapt to dynamic environments and optimize their performance. In this research paper, we investigate t...
来源: 评论