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![]() Free Download Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection by Balasubramaniam S, Seifedine Kadry, Manoj Kumar TK English | March 12, 2025 | ISBN: 1032865482 | 250 pages | MOBI | 12 Mb Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few decades, various techniques and algorithms have been created in disciplines such as genetic algorithms, artificial neural networks, evolutionary algorithms, and fuzzy algorithms. In the coming years, intelligent optimisation algorithms are anticipated to become more efficient in addressing various issues in engineering, scientific, medical, space, and artificial satellite fields, particularly in early disease diagnosis. A metaheuristic in computer science is designed to discover optimisation algorithms capable of solving intricate issues. Metaheuristics are optimisation algorithms that mimic biological behaviours of animals or birds and are utilised to discover the best solution for a certain problem. A meta-heuristic is an advanced approach used by heuristics to tackle intricate optimisation problems. A metaheuristic in mathematical programming is a method that seeks a solution to an optimisation problem. Metaheuristics utilise a heuristic function to assist in the search process. Heuristic search can be categorised as blind search or informed search. Meta-heuristic optimisation algorithms are gaining popularity in various applications due to their simplicity, independence from data trends, ability to find optimal solutions, and versatility across different fields. Recently, many nature-inspired computation algorithms have been utilised to diagnose people with different diseases. Nature-inspired methodologies are now widely utilised across several fields for tasks such as data analysis, decision-making, and optimisation. Techniques inspired by nature are categorised as either biology-based or natural phenomena-based. Bioinspired computing encompasses various topics in computer science, mathematics, and biology in recent years. Bio-inspired computer optimisation algorithms are a developing method that utilises concepts and inspiration from biological development to create new and resilient competitive strategies. Bio-inspired optimisation algorithms have gained recognition in machine learning and deep learning for solving complicated issues in science and engineering. Utilising BIAs learning methods with machine learning and deep learning shows great promise for accurately classifying medical conditions. This book explores the historical development of bio-inspired algorithms and their application in machine learning and deep learning models for disease diagnosis, including COVID-19, heart diseases, cancer, diabetes and some other diseases. It discusses the advantages of using bio-inspired algorithms in disease diagnosis and concludes with research directions and future prospects in this field. ![]() Free Download Christopher D. Ward, "Between Sickness and Health: The Landscape of Illness and Wellness" English | ISBN: 1138592862 | 2019 | 150 pages | AZW3 | 1053 KB Between Sickness and Health is about illness rather than disease, and recovery rather than cure. The book argues that illness is an experience, represented by the feeling that 'I am not myself'. From the book's phenomenological point of view, feelings of illness cannot be 'unreal' or 'fake', whatever their biological basis, nor need they be categorised as 'physical', 'psychosomatic' or 'psychiatric'. ![]() Free Download Being Doll : A Study of Youngness & Oldness at Interface By Lisa Pavlik-Malone 2013 | 107 Pages | ISBN: 1443842435 | PDF | 1 MB In this second volume, following Dolls & Clowns & Things, the author once again explores the symbolic relationship between the self and the object. This time, however, the possible fundamental role of cognitive consonance, characterized here as the ability of the mind to integrate opposing ideas into a single expanded understanding of Self, is studied in terms of how it might relate to the following three categories of intuitive experience. One, my physical object, in which consonance or "wholeness" expands one's understanding of Self when ideas about "youngness" and "oldness" become integrated as part of episodic memories that involve an actual physical (toy) doll. Two, my objectified being, in which consonance takes place when, again, ideas about "youngness" and "oldness" become integrated through the metaphoric objectification of certain points located on the human female body. And three, in which consonance develops as "youngness" and "oldness" ideas become integrated through a doll as a work of art. Within the theoretical framework of each of these three categories, various psychological dynamics which encompass memory, metaphor, and neuroplasticity, are understood to be essential to the molding and shaping of one's subjective experience of "doll". ![]() Free Download Behind the Iron Curtain : A Teacher's Guide to East Germany and Cold War Activities By Jeffrey M. Byford 2012 | 115 Pages | ISBN: 0761859322 | EPUB | 1 MB Behind the Iron Curtain: A Teacher's Guide to East Germany and Cold War Activities discusses teaching Cold War activities through an East German perspective. The book is comprised of eight chapters that examine various pedagogical approaches and historical background associated with East Germany's role throughout the Cold War. Topics in this book include multiple methods of differentiated instruction, the beginnings of East Germany, the creation of the Ministry for State Security, the Berlin Wall, youth and education, a planned economy, life and society of East Germans, and the events that led to the fall of communism. 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