[ad_1] Introduction: Natural Language Processing (NLP) is a rapidly growing field within the realm of artificial intelligence that focuses on the interactions between computers and human language. In recent years, there has been an increasing…
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[ad_1] Introduction In recent years, the use of predictive policing using crime data has gained significant attention in law enforcement agencies around the world. Predictive policing involves the use of advanced analytical techniques to identify…
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[ad_1] Introduction The integration of Machine Learning (ML) into autonomous vehicles has revolutionized the automotive industry in recent years. ML algorithms enable vehicles to perceive their surroundings, make decisions, and navigate without human intervention. This…
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[ad_1] Introduction Data science has revolutionized the way information is collected, analyzed, and utilized in various fields, including sports analytics. With the vast amount of data generated in sports, data science techniques offer new insights…
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[ad_1] Introduction Energy consumption plays a crucial role in the global economy and has significant environmental implications. With the increasing demand for energy and the need to reduce greenhouse gas emissions, it has become imperative…
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[ad_1] Introduction: Automated Essay Scoring (AES) is a technology that assesses and evaluates written essays using computer algorithms and machine learning techniques. With the advancements in artificial intelligence and natural language processing, AES has become…
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[ad_1] Introduction Speech recognition and synthesis using deep learning have gained significant attention in recent years due to the advancements in artificial intelligence and machine learning technologies. Deep learning algorithms have shown remarkable capabilities in…
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[ad_1] Introduction Predicting student performance has always been a challenging task for educators and researchers. With the advent of educational data mining (EDM), a new opportunity has emerged to analyze vast amounts of data collected…
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[ad_1] Introduction Time Series Forecasting is a crucial aspect of financial analysis, particularly in the stock market where investors rely on accurate predictions to make informed decisions. The ability to forecast stock market trends can…
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[ad_1] Introduction In recent years, the explosion of social media platforms has provided vast amounts of data on human interactions and emotions. Emotion recognition from social media interactions is a burgeoning field of research that…
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