£153.33

Nova Advances in Engineering Research. Volume 59: (Advances in Engineering Research Series)

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£221.99 £146.42 £162.91 £179.40 £195.88 £212.37 £228.86 11 June 2026 28 June 2026 16 July 2026 03 August 2026 21 August 2026

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Description

This volume includes eight chapters that detail advances in engineering research. Chapter 1 presents a detailed review of recent advancements in two critical areas of electric vehicle battery management: (1) battery modeling methodologies that emphasize model accuracy, parameter identification, computational efficiency, and suitability for real-time implementation in Battery Management Systems (BMS); and (2) active cell balancing strategies focused on extending battery cycle life, mitigating capacity fade, enhancing safety, and minimizing cell-to-cell state disparities, while discussing the main characteristics and functions of BMS. Chapter 2 investigates advanced AI methods, including stacking regression and deep learning, particularly Long Short-Term Memory (LSTM) networks, to predict VRU trajectories accurately and assess collision probabilities. Chapter 3 presents the problems linked to urban mobility and then proposes an optimization that uses Eco-driving to reduce emissions throughout public transport routes. Chapter 4 introduces an embedded code using the software R as an appropriate tool for studying helicopter dynamics. In Chapter 5, the geometric design of a microcantilever beam biosensor using SiO2 material has been optimized to detect low-density lipoprotein (LDL) molecules in human blood. Chapter 6 addresses the increasingly needed countermeasures against deepfakes as they continue to be more complex and demonstrates a potential way to minimize the negative impact of deepfakes and guarantee trustworthiness of information in the digital world by fostering technological progress, government regulation, and public education. Chapter 7 discusses the different types of sensors for many applications like temperature, pressure, gas, strain, and more. Finally, Chapter 8 proposes an AI-powered approach for preservation of privacy in the Cloud-IoT environment. The proposed system will dynamically check and compare user data. The isolation of public data and private data will be the focus of this proposed approach.

Product Specifications

Brand
Nova
Format
hardcover
Domain
Amazon UK
Release Date
09 January 2026
Listed Since
24 November 2025

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