Virtual reality (VR) technology offers potential opportunities for the assessment and intervention of Attention-Deficit Hyperactivity Disorder (ADHD). This research article presents a study evaluating the effectivenes...
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In the financial industry, identifying user intent from text inputs is crucial for various tasks such as automated trading, sentiment analysis, and customer support. One important component of natural language process...
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By creating a sophisticated virtual assistant (VA), this study investigates how generative AI might revolutionise human-machine interaction (HMI). Our suggested solution overcomes conventional constraints by utilising...
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Leukemia, a life-threatening blood cancer, de-mands early and accurate diagnosis for effective treatment. This project aims to bring out the potential of dual deep learning techniques to enhance acute lymphoblastic le...
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Brain tumor diagnosis is a critical task in the field of medical imaging, with the potential to significantly impact patient outcomes and treatment planning. The use of deep learning has been more well-known within th...
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In a world where a major portion of the populace suffer with daily challenges of blindness, this pioneering project introduces a comprehensive smart support system designed to aid the needs of people who are visually ...
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The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related *** surveillance and crowd management using video analysis te...
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The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related *** surveillance and crowd management using video analysis techniques have significantly impacted today’s research,and numerous applications have been developed in this *** research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COVID-19 pandemic through sparse crowd *** theKaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the *** Umrah videos are analyzed,and a system is devised that can track and monitor the crowd flow in *** crowd in these videos is sparse due to the pandemic,and we have developed a technique to track the maximum crowd flow and detect any object(person)moving in the direction unlikely of the major *** have detected abnormal movement by creating the histograms for the vertical and horizontal flows and applying thresholds to identify the non-majority *** algorithm aims to analyze the crowd through video surveillance and timely detect any abnormal activity tomaintain a smooth crowd flowinKaaba during the pandemic.
Investments are one of the major sources of income in one’s life. The usual question that arises is which category one should invest in. In the market, there are many investment options such as stocks, cryptocurrenci...
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This paper provides a thorough survey of strategies and innovations crucial for sustaining marine species. Examining challenges such as overfishing and pollution, it highlights the severe threats to marine biodiversit...
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Early prediction stampede techniques are essential in public assemblages or gatherings such as cricket match stadiums, auditoriums, football stadiums, religious crowds etc. It reduces the chance of stampedes in assemb...
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