دانلود کتاب جامعه 5 – تغییر شکلی به سمت هوش مصنوعی انسان محور

PrefaceThe book centres concept of “Intelligent Data-Driven Systems and Artificial Intelligence”. Bringing together how AI and Intelligent systems helps society in achieving new state of well-being and security aligning with the fundamentals of Society 5.0. Different chapter uncovers the different ways in which technology today can be a driving factor for the people in different day to day sectors of life. Because there is a limit to what people can do, the task of finding the necessary information from overflowing information and analysing it was a burden, and the labour and scope of action were restricted due to age and varying degrees of ability. Also, due to various restrictions on issues such as a decreasing birthrate and ageing population and local depopulation, it was difficult to respond adequately.Social reform (innovation) in Society 5.0 will achieve a forward-looking society that breaks down the existing sense of stagnation, a society whose members have mutual respect, transcending the generations, and a society in which each person can lead an active and enjoyable life through technological advancement. This book aims to bring more innovative ideas for reality.While the gross theme of the book is technologies and their adoption for Society 5.0, the main features include a thorough analysis of human-centred artificial intelligence and human-centred robotics, and the technological potential of solving social problems of not only developed societies but also of developing countries like India. The major application domains of aviation, e-commerce and health will also be reviewed w.r.t Society 5.0.This volume consists of 12 chapters that revolve around the various aspects of Society 5.0 while AI and ML take the forefront. The relation of various Industry standards is also dealt with. Healthcare domain has been explored by many of the authors that usher in a brighter future through inclusive growth and better quality of life.Chapter 1
explores Society 5.0’s impact on areas like healthcare, security, and social development, highlighting historical context, benefits, challenges, and ways to balance quality of life with technological and economic growth. Chapter 2 examines the challenges and reforms in India’s healthcare system, focusing on resource access, infrastructure improvements, government initiatives like Ayushman Bharat, and the role of healthcare managers in addressing workforce shortages and quality concerns. Despite progress, achieving equitable, high-quality healthcare requires sustained collaboration among all stakeholders. Chapter 3 explains how early intervention and dropout prevention (EIDP) strategies use data-driven approaches and machine learning to identify at-risk students, enabling timely interventions like mentoring and tutoring to enhance retention, foster equity, and reduce dropout rates. Chapter 4 describes Resume Analyzer, which simplifies the process of tailoring resumes to job descriptions by using Google’s Gemini-Pro LLM to extract and align key details. This tool saves time, ensures accuracy, and offers a user-friendly solution for job seekers.
Chapter 5 depicts how Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery, personalised treatment, and diagnostics by integrating experimental and computational techniques. These technologies, including methods like Artificial Neural Networks and CRISPR, enhance accuracy in drug repurposing, disease diagnosis, and clinical decision-making. Despite challenges, AI’s role in precision medicine is expanding, offering potential solutions for improving treatment outcomes and predictions. Chapter 6, Social Network Analysis (SNA), explores trust in online interactions, which is crucial for building relationships and collaboration. Machine learning models and fuzzy logic are used to predict and evaluate trust based on factors such as influence, followers, and engagement. Chapter 7 highlights the importance of social responsibility, sustainability, and overcoming challenges such as data privacy and ethical concerns in implementing a human-centric, innovative Society 5.0 framework. Chapter 8 critically overviews Medicine 4.0, which integrates advanced technologies like AI, telemedicine, and wearable devices to revolutionise patient care and healthcare processes. While offering personalised, efficient care and early disease detection, it also raises ethical and privacy concerns, requiring collaboration to address regulatory and security challenges.
Chapter 9 explores the role of topology in digital image processing, focusing on different topologies constructed on Z^2. It presents a comparative analysis of these topologies and their impact on pattern recognition and image analysis. Industry 5.0 is reshaping employment by combining human skills with advanced technologies, requiring new skill development. Chapter 10 examines its impact on job roles, product quality, and the need for effective policies and training to ensure inclusive growth. Society 5.0 envisions a future where technology enhances human life, with Human-Centred AI at its core. Chapter 11 explores the role of Neurosymbolic AI in integrating neural networks with symbolic reasoning, its applications, ethical concerns, and its potential to revolutionise sectors like healthcare, education, and smart cities. Chapter 12 provides a comprehensive evaluation of autism screening tools for toddlers, emphasising the importance of early detection of autism spectrum disorder (ASD) for timely intervention. It critically analyses tools like M-CHAT-R/F, STAT, Q-CHAT-10, and ASQ, assessing their performance based on sensitivity, specificity, and predictive values while highlighting their strengths, limitations, and implications for early ASD detection and intervention.