The paper presents a novel approach for detecting anomalies like arson, explosion, vandalism, etc in public spaces using CCTV camera feeds. We propose a deep learning-based system that analyzes video streams to identi...
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A well-known and mysterious species that lives in the vast and varied seas of the Pacific Ocean is the Indo-Pacific sailfish. The sailfish has piqued the interest of marine scientists, ecologists, and fans alike becau...
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Ransomware is one of the key threats that have been created to lock the important services and data. New techniques like machine learning and blockchain are being used for enhancing the detection and mitigation proces...
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There are various disorders in the humen eye. Glaucoma is one of the most critical eye disorders. Eye is a precious part of the human body. It develops in the eye with very less speed and damages all internal optic ne...
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In this constructive healthcare industry, AI-based IOMT (Internet of Medical Things) is one of the highly used Technologies. The virtual world is customary to lose responsible data in cyberspace. Without any doubt, IO...
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Accurate prediction of the future movement of the financial instruments is a major factor that assures profitability and minimize risk in a volatile, unpredictable and complex financial and cryptocurrency market. Many...
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Anemia is a state of bad health condition where there is the presence of a low amount of red blood cells in the blood. We aim to build a simple Anemia prediction Web Application, that predicts whether a patient is ane...
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Brain tumors are amongst the most prevalent diseases affecting the brain, can cause severe pain, and lead to various illnesses if not adequately treated. A notable factor contributing to the rising number of cancer ca...
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The problem of inadequate and class imbalanced data is one of the major problems in the classification tasks. Therefore applying synthetic data generation (SDG) approaches to handle class imbalances can be useful in i...
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