Mechanical Engineering: Books

New Kind of Machine Learning–Cellular Automata Model

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver efficient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens ML by leveraging linear CA evolution to process linear functions effectively. The book focuses on real-world applications of CA, such as in Computational Biology, where CAML models protein chains to predict mutations linked to human diseases, using carefully designed CA rule sequences for each amino acid. Another significant application is in multi-language Sentiment Analysis, where the model analyses text in five languages (Hindi, Arabic, English, Greek, and Georgian), without relying on pre-trained language models. CAML uses CA rules for Unicode character modelling, offering a transparent, interpretable prediction algorithm. Overall, CAML aims to drive industrial and societal applications of CA, with an emphasis on transparent results and efficient hardware design through CA's regular, modular, and scalable structure. (Provided by Publisher.)

Dictionary of Mechanical Engineering

This book contains important words and terminologies of the core subjects in mechanical engineering such as engineering mechanics, strength of materials, fluid mechanics, thermodynamics, IC engines, heat and mass transfer, refrigeration and air-conditioning, manufacturing processes, theory of machines, industrial engineering and management, electric vehicles, etc. that are explained in a concise and lucid manner. The contents also touch upon some terminologies of basic science subjects. This dictionary is an easy-to-use and a practical resource which will be highly useful for undergraduate and postgraduate students, researchers, and industry professionals in the field of mechanical engineering (Provided by Publisher).

Frameworks, Tensegrities, and Symmetry

This introduction to the theory of rigid structures explains how to analyse the performance of built and natural structures under loads, paying special attention to the role of geometry. The book unifies the engineering and mathematical literatures by exploring different notions of rigidity - local, global, and universal - and how they are interrelated. Important results are stated formally, but also clarified with a wide range of revealing examples. An important generalization is to tensegrities, where fixed distances are replaced with 'cables' not allowed to increase in length and 'struts' not allowed to decrease in length. A special feature is the analysis of symmetric tensegrities, where the symmetry of the structure is used to simplify matters and allows the theory of group representations to be applied. Written for researchers and graduate students in structural engineering and mathematics, this work is also of interest to computer scientists and physicists (Provided by Publisher).

This title was acquired through the Library's Order a Book service.

Machine Intelligence in Mechanical Engineering

Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention (Provided by Publisher).

Applications of Immersive Technology in Architecture, Engineering and Construction : A Handbook

This edited volume explores the role of immersive technologies—such as virtual, augmented, and mixed reality—across the lifecycle of built environment projects in the Architecture, Engineering, and Construction (AEC) sector. It addresses a gap in current literature by examining how these tools are applied from design through to end-of-life phases, highlighting their potential to improve efficiency, reduce waste, and support digital transformation in line with Industry 4.0. The book also discusses the benefits, challenges, and future directions of immersive technology adoption in AEC contexts. (Provided by Publisher.)

This title was acquired by the Library's Order a Book service.