This study presents a comprehensive overview of the solar industry's transition towards
resilient energy solutions, emphasizing the critical role of data-driven practices in driving this …

Lung cancer is one of the most serious and prevalent cancers in the globe. Early detection of
lung cancer can increase a patient's chances of life. Computed Tomography (CT) scan …

This study investigates how differential geometry ideas can be used to effectively carry out
structural optimization and reliability analysis. Strong mathematical representations and …

Internet of things solutions have brought about a significant revolution in the development of
healthcare by providing remote monitoring capabilities and providing doctors with reports on …

This paper gives an evaluation of current literature assessing the impact of synthetic
intelligence (AI) on automatic information science approaches. AI-driven structures have …

Navigating the complexities of a platform such as Amazon demands a strategic approach
guided by project management principles. A comparative analysis of Fulfillment by Amazon …

A system of models and methods is proposed for the stated problem, which is the
development of software for searching the shortest paths in graphs. These models and …

Data poisoning attacks, where adversaries manipulate training data to degrade model
performance, are an emerging threat as machine learning becomes widely deployed in …

This study explores the effectiveness of machine learning algorithms in predicting future
demand and optimizing inventory levels for small businesses using sales data. Predictive …

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