Titlebook: Innovations in Data Analytics; Selected Papers of I Abhishek Bhattacharya,Soumi Dutta,Debabrata Samant Conference proceedings 2024 The Edit

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Android Malware Detection Using Machine Learningsitive ones like banking. These gadgets are among the top targets for hackers due of the sensitive and important information they hold. Android-based phones predominate in the phone market. Because of the widespread distribution of malware, Android‘s open-source nature has also given rise to a numbe

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Deep Learning-Enhanced Intraday Stock Trade Price Predictionassets like Bitcoin is challenging because of their instability; therefore, establishing an efficient investing plan requires accurate price predictions. With this in mind, the proposed system implemented a modern approach for forecasting Bitcoin prices, using change point detection to segregate tim

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E-mail Fraud Detection Using Deep Learningsuggested a number of spam detection techniques. One of the reasons spam rates are still high is that most malicious e-mails still link to risky websites, despite the existence of anti-spam tools and tactics. Spam can cause servers to lag by consuming memory or storage. One important method for iden

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Deep Learning-Based Smart Surveillance System A better security system is required in other monitoring industries to stop any casualties that can result in monetary, societal, and ecological loss. Automatic violence detection is crucial for prompt response and can effectively help the relevant authorities. Intelligent surveillance technologies

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