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检索条件"机构=Data Science Program Computer Science Department"
24664 条 记 录,以下是321-330 订阅
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Utilizing Deep Convolutional Neural Network and Local Binary Pattern Fusion for Plant Leaf Disease Identification: An Integrated Approach  3
Utilizing Deep Convolutional Neural Network and Local Binary...
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3rd IEEE International Conference on Industrial Electronics: Developments and Applications, ICIDeA 2025
作者: Rahamat Basha, S. Kaladeep Yalagi, Pratibha C. Puli, Balaram Sundaramoorthy, Pandian Daruvuri, Rajesh Vinayagapriya, S. Malla reddy college of engineering and technology Department of computer science and engineering India Walchand Institute of Technology Solapur Department of Computer Science and Engineering Solapur India Engineering and Data Science Everest Computers Inc India Application Developer EL CIC-1W-AMI IBM India Google India St.josephs college of engineering Dept of ece India
Precise detection of plant diseases is essential in agriculture to maximize crop management and yield. The present study presents an innovative approach that integrates convolutional neural networks (CNNs) with local ... 详细信息
来源: 评论
Hybrid Approach of TabNet and Transformer-XGBoost for Predicting Traffic Flow in Smart Cities  1
Hybrid Approach of TabNet and Transformer-XGBoost for Predic...
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1st IEEE International Conference on Smart and Sustainable Developments in Electrical Engineering, SSDEE 2025
作者: Hole, Shreyas Rajendra Kolluru, Vinothkumar Salotagi, Shreekant Challagundla, Yagnesh Mungara, Sudeep Naik, Mude Nagarjuna Bangalore India Stevens Institute of Technology Department of Data Science HobokenNJ07030 United States Dayananda Sagar University Computer Science & Engineering Bangalore India Herbert Wertheim College of Engineering University of Florida Department of Computer Science GainesvilleFL32611 United States Stevens Institute of Technology Masters in Information Systems HobokenNJ07030 United States
A smart city's transportation system can be en-hanced if there is an accurate prediction of the traffic flow which develops in an area as time goes on. This article investigates the relative accuracy of predicting... 详细信息
来源: 评论
AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review  13
AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impa...
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13th International Winter Conference on Brain-computer Interface, BCI 2025
作者: Zaitsev, Vasilii Wei, Chun-Shu EECS International Graduate Program National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan
Mild Cognitive Impairment (MCI) is a condition that often precedes dementia, making early diagnosis critical for delaying cognitive decline. Electroencephalography (EEG) has emerged as a non-invasive, cost-effective t... 详细信息
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Q-Rung Orthopair Fuzzy Sets-Enhanced FMEA for COVID-19 Risk Assessment
Informatica (Slovenia)
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Informatica (Slovenia) 2025年 第1期49卷 81-92页
作者: Abdullah, Lazim Awang, Noor Azzah Qiyas, Muhammad Special Interest Group of Modelling and Data Analytics Faculty of Computer Science and Mathematics Universiti Malaysia Terengganu Kuala Nerus21030 Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Department of Mathematics Riphah International University Failsabad Campus Pakistan
Failure Modes and Effects Analysis (FMEA) is a widely used tool for risk analysis, primarily to identify risk factors affecting system quality. Due to the limitations of the traditional FMEA model, several recent mode... 详细信息
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Hybrid Approach for Electricity Price Forecasting using AlexNet and LSTM
Hybrid Approach for Electricity Price Forecasting using Alex...
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Intelligent data Communication Technologies and Internet of Things (IDCIoT), International Conference on
作者: Bosubabu Sambana Kotamsetty Geethika Devi Bandi Rajeswara Reddy Galeti Mohammad Hussain Gownivalla Siddartha Department of Computer Science and Engineering (Data Science) School of Computing Mohan Babu University Tirupati India Department of Computer Science and Systems Engineering Sree Vidyanikethan Engineering College Tirupati India
The recent development of advanced machine learning methods for hybrid models has greatly addressed the need for the correct prediction of electrical prices. This method combines AlexNet and LSTM algorithms, which are... 详细信息
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MMSciBench: Benchmarking Language Models on Multimodal Scientific Problems
arXiv
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arXiv 2025年
作者: Ye, Xinwu Li, Chengfan Chen, Siming Tang, Xiangru Wei, Wei Department of Computer Science Yale University United States Department of Computer Science Brown University United States School of Data Science Fudan University China Datawiz LLC United States
Recent advances in large language models (LLMs) and vision-language models (LVLMs) have shown promise across many tasks, yet their scientific reasoning capabilities remain untested, particularly in multimodal settings... 详细信息
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Mapping the Scientific Landscape of Integrated Scheduling Towards Industry 5.0 with A Bibliometric Analysis
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Procedia computer science 2025年 253卷 84-93页
作者: Anak Agung Ayu Putri Ardyanti Zhiqiang Xie Andrea Stevens Karnyoto Bens Pardamean Ni Made Estiyanti School of Computer Science and Technology Harbin University of Science and Technology Harbin 150000 China Faculty of Information Technology and Design Primakara University Bali 80226 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Doctoral School of Management and Business University of Debrecen Debrecen Hungary
The industry is rapidly transitioning from the 4.0 era to the 5.0 era, prompting renewed interest among scholars in scheduling problems. They allow operations to process and assemble various components simultaneously.... 详细信息
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Deep Reinforcement Learning-Based Automated Negotiation Model for Shared Decision-Making
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Engineering Letters 2025年 第5期33卷 1592-1604页
作者: Wen, Sijie Cai, Zhongqi Chen, Xin Hong, Rende Lin, Kaibiao Lu, Ping Department of Computer Science and Technology of Xiamen University of Technology Xiamen361024 China School of Data Science and Computer Science Xiamen Institute of Technology Xiamen361024 China School of Economic and Management of Xiamen University of Technology Xiamen361024 China
Shared Decision-Making (SDM) is a crucial approach in clinical practice that aims to integrate patient preferences with medical expertise. However, existing SDM approaches often rely on artificial processes and fixed ... 详细信息
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Multilingual Hate Speech Detection: Innovations in Optimized Deep Learning for English and Arabic Hate Speech Detection
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SN computer science 2025年 第3期6卷 1-16页
作者: AL-Sukhani, Hassan Bsoul, Qusay Elhawary, Abdelrahman H. Nasr, Ziad M. Mansour, Ahmed E. Batyha, Radwan M. Alqadi, Basma S. Alqurni, Jehad Saad Alfagham, Hayat Madbouly, Magda M. Cybersecurity Department Faculty of Science and Information Technology Jadara University Irbid Jordan Cybersecurity Department College of Computer Sciences and Informatics Amman Arab University Amman Jordan Faculty of Engineering Ain Shams University Cairo Egypt Faculty of Computer Science Misr International University Cairo Egypt Faculty of Information Technology Applied Science Private University Amman 11931 Jordan Computer Science Department College of Computer and Information Sciences Al Imam Mohammad Ibn Saud Islamic University Riyadh Saudi Arabia Department of Educational Technologies College of Education Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam Saudi Arabia Department of MIS College of Applied Studies and Community Service Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam Saudi Arabia Institute of Graduate Studies & Research Alexandria University Alexandria Egypt Faculty of Computer and Data Science Alexandria University Alexandria Egypt
This paper presents the development of a multilingual hate speech detection model that effectively processes and classifies content in both Arabic and English. The study leverages both traditional machine learning mod... 详细信息
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Perfomance Improvement of mpdCNN as Ensemble Learning Model on Low Resolution Image-Face Recognition System
Perfomance Improvement of mpdCNN as Ensemble Learning Model ...
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International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech)
作者: Daniel Anando Wangean Derwin Suhartono Master of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia
Low resolution image-face recognition system is one of the challenging aspects of face recognition models' development. From machine learning, deep learning, and into ensemble learning are implemented to develop f... 详细信息
来源: 评论