Formula 1 racing is a data-driven sport, where applying data science techniques can provide competitive edge. This chapter explores machine learning models to predict driver positions on a given racetrack. Utilizing machine learning models like Random Forest, Gradient Boosting, Support Vector...

This chapter explores the transformative impact of these systems on logistics, highlighting their role in optimizing operations, enhancing decision-making, and improving overall efficiency. The chapter also examines implementation strategies, including the integration of machine learning models,...

PCOS is a condition which leads to growth of ovarian cysts and prevalent endocrine disorder in child bearing women which can lead to infertility during the upcoming years. It causes hormonal imbalance and issues with metabolism thereby affecting the overall health and appearance. Some of the...

Brain tumor is one of the most fatal diseases in the world. As per the WHO cancer is the 2nd leading cause of death globally and around 9.6 million people died in 2018. Tumors are of 2 types: Benign and malignant. Benign tumors are usually not dangerous as they do not spread to other parts of...

This chapter explains the significance of Underwater Target Recognition (UTR) for marine research, defence, and exploration, focusing on the challenges posed by the unique underwater environment. It begins by examining the difficulties of underwater sensing and introduces Reinforcement Learning...

Smart contracts, serving as self-executing programs on blockchain platforms, have emerged as a key innovation for enhancing data security. Despite advancements in both blockchain technology and smart contracts (SCs), Ethereum-based SCs remain vulnerable to security breaches. Exploitation of...