Vol. 1 No. 4 (2023): Volume-I, Number-IV, 2023
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Using AI and Big Data to Predict and Prevent Disease Outbreaks
Abstract 46
The recent and quick appearance and dissemination of infectious diseases are one of the biggest challenges to the health system of the population. Traditional methods of surveillance and prediction are generally ineffective at providing timely and accurate predictions and this limits the ability of policymakers and health practitioners to respond in time. The current developments in the field o ... read more
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A Comprehensive Frameworks for Fraud Crime Detection and Security: Leveraging Neural Networks and AI
Abstract 64
The exponential growth of digital transactions and the ubiquity of interconnected systems have amplified the prevalence and sophistication of fraudulent activities, necessitating the development of robust, intelligent security frameworks. This research presents a comprehensive framework for fraud crime detection and security by leveraging the capabilities of advanced neural networks and artific ... read more
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Adaptive Robotics: Machine Learning Algorithms for Autonomous Behavior and Environmental Interaction
Abstract 49
This research paper explores the intersection of adaptive robotics and machine learning (ML) algorithms to enable autonomous behavior and effective environmental interaction. With the advancement of robotics, it has become imperative for robots to not only perform pre-programmed tasks but also adapt to dynamic, uncertain environments. Through the integration of machine learning techniques such ... read more