草本植物
发表于 2025-3-28 15:41:32
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动脉
发表于 2025-3-28 21:23:27
,Detection and Prediction of Alzheimer’s Disease Using Rule Induction Method,). Some supervised machine learning methodologies, including logistic regression, support vector machines, random forests, linear discriminant analysis, and rule induction method (RIM), have been used to guess Alzheimer’s disease.
MURKY
发表于 2025-3-28 23:25:39
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外星人
发表于 2025-3-29 04:09:38
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没花的是打扰
发表于 2025-3-29 07:39:09
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uveitis
发表于 2025-3-29 14:02:48
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暂时别动
发表于 2025-3-29 15:47:29
Revitalising Volunteerism: The Transformative Influence of Artificial Intelligence in Volunteer Man Despite declining volunteering rates, India is home to millions of non-profit organisations and volunteers. This research paper examines the challenges and opportunities in India‘s volunteering landscape and presents a technological solution to revitalise volunteer engagement. The proposed study is
纬线
发表于 2025-3-29 19:58:14
Optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs,nded processing times leading to increased costs and potential delays. The primary purpose of convolutional networks is to serve classification tasks that assign a single label to an entire input. However, segmentation serves as a powerful solution to overcome the limitations inherent in classificat
A简洁的
发表于 2025-3-30 00:34:13
Intelligent Surveillance Camera System Based on Object Tracking,eillance cameras have become a useful tool to monitor and analyze human activity and behavior in important areas such as streets, train stations, airports, hospitals, shopping centers and other areas. To solve this problem, many methods and algorithms have been proposed and developed. And wonderfull
overhaul
发表于 2025-3-30 04:48:12
Data-Efficient Training for Effective Paraphrase Retrieval Techniques Using Language Models to Idennts of manual effort. Enhancing this process using Machine Learning techniques can be time consuming and expensive, as huge amounts of data needs to be used to come up with high accuracy models. This paper proposes an approach to streamline this process by integrating semantic search with paraphrase