Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
Abstract: According to advancements in AI and ML, a new era of data-driven decision-making has begun, changing the face of many businesses around the globe. This research aims to delve into the ...
Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
Abstract: This study delves into the transformative role of Deep Learning, Machine Learning, Artificial Intelligence, and Big Data in revolutionizing finance and education. Within the financial sector ...
Abstract: The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of ...
Abstract: Forest fires pose significant environmental and economic threats, necessitating robust predictive models for better management and prevention. This study focuses on the temporal and spatial ...
Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
Jake Paul’s latest update was calm, appreciative, and surprisingly reflective. The damage behind it was not. After stepping into the ring with Anthony Joshua, the former YouTube star is now recovering ...
Abstract: Vibration-based condition monitoring is a well-developed and established field in maintenance engineering. Failure prognosis is a crucial aspect of condition monitoring, particularly ...
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