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Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amol C. Goje,Alfred M. Bruckstein Conference proceedings 2024 T

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Boosting Tiny Object Detection in Complex Backgrounds Through Deep Multi-Instance Learning,y objects. Moreover, our work represents the first empirical study on detecting small objects from complex backgrounds using (multi-instance learning) MIL. Additionally, our solution improves the accuracy and speed of multi-stage methods by incorporating multiple architectural enhancements.
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發(fā)表于 2025-3-26 02:17:46 | 只看該作者
2367-3370 and solutions for future development.Serves as a reference .This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-rev
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發(fā)表于 2025-3-26 06:55:46 | 只看該作者
Improving Sentiment Analysis by Handling Negation on Twitter Data Using Deep Learning Approaches,omparing CNN‘s performance in managing negation words, the paper assesses its effectiveness on tweet data. This strategy achieves superior accuracy over traditional machine learning methods and therefore mitigates misclassification in tweets.
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