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Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

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51#
發(fā)表于 2025-3-30 09:49:43 | 只看該作者
52#
發(fā)表于 2025-3-30 13:54:28 | 只看該作者
Investigations on Deep Learning Pre-trained Model VGG-19 Using Transfer Learning for Remote Sensingcomparing the features of a query image with the features of images in the archives. Extracting the most relevant features from both the query image and the archive images is crucial. Image classification serves as a fundamental step in this process. Features are extracted to enable further processi
53#
發(fā)表于 2025-3-30 18:13:19 | 只看該作者
Complexity Analysis of Legal Documents,ow a specific legal convention. For a legal practitioner, they require documents, mainly judgements, for the proceedings in their client’s case. We evaluated the approach of Named Entity Recognition on a large corpus of legal judgements and found 14 entities, such as case number, name of judge, name
54#
發(fā)表于 2025-3-30 23:35:55 | 只看該作者
55#
發(fā)表于 2025-3-31 02:02:52 | 只看該作者
Review of Classification and Detection for Insects/Pests Using Machine Learning and Deep Learning A get severely damaged. As a result, the country’s economy is at risk. Thus, developing an intelligent system that will help farmers identify insects/pests has become necessary. The aim is to present efforts taken for pest classification and pest detection. This paper aims to find missing links in th
56#
發(fā)表于 2025-3-31 05:30:52 | 只看該作者
Sentiment Analysis of Product Reviews Using Deep Learning and Transformer Models: A Comparative Stus on social media on different platforms. In the age of AI, it becomes necessary to understand the sentiments from peoples’ opinions, feedback, and interactions. Sentiment analysis has recently drawn a lot of attention. Sentiment analysis has been extensively used and applied in a range of domains,
57#
發(fā)表于 2025-3-31 13:08:16 | 只看該作者
58#
發(fā)表于 2025-3-31 13:52:23 | 只看該作者
59#
發(fā)表于 2025-3-31 20:59:10 | 只看該作者
Leveraging Natural Language Queries for Effective Video Analysis,ion of these two tasks has only recently gained attention, and the challenge of addressing dynamic background changes in videos remains largely unexplored. Additionally, efficiently retrieving relevant videos from vast collections poses a significant hurdle, despite some proposed solutions in the li
60#
發(fā)表于 2025-4-1 00:04:46 | 只看該作者
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