Artificial Intelligence And Machine Learning For Enhancing Resilience Concepts Applications And Future Directions
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Artificial Intelligence And Machine Learning For Enhancing Resilience Concepts Applications And Future Directions
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Author :
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-01
Artificial Intelligence And Machine Learning For Enhancing Resilience Concepts Applications And Future Directions written by and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
As contemporary societies face unprecedented challenges such as mounting mental health issues, environmental crises, and socioeconomic insecurity, the urgency of developing objective, scalable, and dynamic methodologies to study resilience has never been greater. This book arises at the intersection of cutting-edge technology and human insight. It focuses on the possibility for AI and ML to transform resilience assessment, prediction, and interventions across the individual, organizational, and ecological levels. The chapters included in this book represent an organized synthesis of cutting-edge science, pragmatic applications, and prospective potential. With machine learning algorithms to estimate psychological resilience and AI-based models for climate change adaptation and ecosystem management, this book demonstrates the rich innovations that are emerging at the cross-sector of technology and resilience science. Perhaps most importantly, this book does not gloss over the urgent ethical, technical, and regulatory issues that arise when AI is introduced to sensitive topics such as mental health and environmental management. Questions about data privacy, algorithmic bias, model interpretability, and equitable technology deployment are thoroughly investigated, providing lessons learned and suggestions for moving ahead. A significant strength of this work is its global focus. Showcasing work from contributors of various methodologies and regions provides the latest views on new methodologies, strategies for practical implementation, and on what still needs to be invented. This guarantees that the publication engages with the messy socio-cultural and environmental contexts in which these interventions work and that it doesn’t just mirror technological possibilities. For academicians, practitioners, technologists, and policymakers, this book is both a fundamental reference and an outlook resource. It provides: Holistic examination of AI and ML in the context of psychological, organizational, and ecological resilience. In-depth reviews on methodological innovations, such as deep learning, natural language processing, and sensor-based assessments. Unprecedented appraisals of barriers to implementation, with ethical and regulatory considerations. We trust that this book will inspire conversation, fuel innovation, and support a future in which technology supplements, rather than replaces, human ability to adapt, recover, and flourish. We encourage readers to critique the content, to reflect on how AI, ML, and resilience intersect in their particular contexts, and to join us in shaping a future where technological and human resilience evolve together.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Advanced Cyber Defense For Space Missions And Operations Concepts And Applications
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Advanced Cyber Defense For Space Missions And Operations Concepts And Applications written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.
Cutting-edge techniques and strategies are necessary to protect space missions from cyber threats. The latest advancements in cyber defense technologies offer insights into the unique challenges of securing space-based systems and infrastructure. Additionally, a combination of theoretical insights and practical applications provides a holistic understanding of cyber security tailored specifically for the space industry. Securing space missions against and understanding the complexities of cyber threats are of critical importance. Advanced Cyber Defense for Space Missions and Operations: Concepts and Applications addresses the intersection of cyber security and space missions, a field of growing importance as space exploration and satellite technologies continue to advance. By providing a detailed examination of contemporary cyber defense strategies, this publication offers innovative solutions and best practices for enhancing the security of space missions. Covering topics such as cyber-physical systems, attack detection models, and geopolitical shifts, this book is an excellent resource for cyber security specialists, aerospace engineers, IT professionals, policymakers, defense strategists, researchers, professionals, scholars, academicians, and more.
Artificial Intelligence Concept Application And Future Trends
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Author : P.Nagendra
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-18
Artificial Intelligence Concept Application And Future Trends written by P.Nagendra and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-18 with Computers categories.
P.Nagendra, Assistant Professor, Department of Computer Science and Engineering, N.B.K.R Institute of Science & Technology, Vidyanagar, Tirupati, Andhra Pradesh, India. P.Prasanth, Assistant Professor, Department of Artificial Intelligence and Data Science, N.B.K.R Institute of Science & Technology, Vidyanagar, Tirupati, Andhra Pradesh, India. G.Rajesh, Assistant Professor, Department of Computer Science and Engineering, N.B.K.R Institute of Science & Technology, Vidyanagar, Tirupati, Andhra Pradesh, India. Mr.Hari Babu Mutchakala, Professor, Department of Computer Science and Engineering, N.B.K.R Institute of Science & Technology, Vidyanagar, Tirupati, Andhra Pradesh, India.
Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence
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Author : Hamid Jahankhani
language : en
Publisher: Springer Nature
Release Date : 2025-06-14
Cybersecurity And Human Capabilities Through Symbiotic Artificial Intelligence written by Hamid Jahankhani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.
This book presents the 16th ICGS3-24 conference which aims to understand the full impact of cyber-security, AI, deepfake, and quantum computing on humanity. Over the last two decades, technology relating to cyber-space (satellites, drones, UAVs), cyber-security, artificial intelligence, and generative AI has evolved rapidly. Today, criminals have identified rewards from online frauds; therefore, the risks and threats of cyber-attacks have increased too. Detection of the threat is another strand to the strategy and will require dynamic risk management techniques, strong and up-to-date information governance standards, and frameworks with AI responsive approaches in order to successfully monitor and coordinate efforts between the parties. Thus, the ability to minimize the threats from cyber is an important requirement. This will be a mission-critical aspect of the strategy with development of the right cyber-security skills, knowledge, and culture that are imperative for the implementation of the cyber-strategies. As a result, the requirement for how AI Demand will influence business change and thus influence organizations and governments is becoming important. In an era of unprecedented volatile, political, and economic environment across the world, computer-based systems face ever more increasing challenges, disputes, and responsibilities while the Internet has created a global platform for the exchange of ideas, goods, and services; however, it has also created boundless opportunities for cyber-crime. The ethical and legal implications of connecting the physical and digital worlds and presenting the reality of a truly interconnected society present the realization of the concept of smart societies. Drawing on 15 years of successful events, the 16th ICGS3-24 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. This Annual International Conference is an established platform in which security, safety, and sustainability issues can be examined from several global perspectives through dialogue between academics, students, government representatives, chief executives, security professionals, and research scientists from the UK and from around the globe.
Ai And Machine Learning Applications In Supply Chains And Marketing
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Author : Masengu, Reason
language : en
Publisher: IGI Global
Release Date : 2024-10-18
Ai And Machine Learning Applications In Supply Chains And Marketing written by Masengu, Reason and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Business & Economics categories.
While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customer engagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers.
Ai And Data Analytics In Precision Agriculture For Sustainable Development
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Author : Sita Rani
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Ai And Data Analytics In Precision Agriculture For Sustainable Development written by Sita Rani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
This book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture’s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship.
Solar Horizons
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-05-23
Solar Horizons written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Technology & Engineering categories.
**Discover the Energy Revolution with "Solar Horizons"** Unlock the potential of the sun with "Solar Horizons," a comprehensive guide that takes you on a journey through the cutting-edge world of solar energy. Whether you're a newcomer to solar technology or a seasoned enthusiast, this eBook sheds light on the transformative power of the sun. Begin with a captivating exploration into the history and rise of solar innovations, setting the stage for a deeper understanding of this rapidly evolving field. Dive into the mechanics of solar photovoltaics, where you'll uncover the principles that power our future and the various types of solar panels that harness the sun's energy. Venture further into the realm of thin film solar panels, discovering their unique applications and advantages. Step into the world of perovskite solar cells, a game-changing technology that promises greater efficiency and potential despite its challenges. "Solar Horizons" doesn't stop with cells and panels. Explore advanced energy storage solutions, from innovative battery technologies to supercapacitors that could redefine energy independence. Learn about the integration of AI in smart solar grids and how decentralized systems are empowering communities worldwide. Dive into BiPV technology, where architecture meets sustainability, and see how solar innovations are transforming buildings into green powerhouses. Delve into the advancements in solar thermal technologies and discover breakthrough technologies in solar desalination systems that turn sunlight into freshwater. Travel beyond Earth as space-based solar power concepts unfold, presenting both challenges and incredible opportunities. Explore solar's impact on transportation, from land vehicles to aviation and marine applications, highlighting a future where solar propulsion is reality. Conclude with a powerful insight into the economics and global policy driving solar innovations. Understand cost reduction trends and their impact on energy markets, along with government incentives and international cooperation shaping the solar landscape. "Solar Horizons" is not just an eBook; it's your gateway to understanding the pivotal role of solar energy in achieving sustainable global goals. Illuminate your mind and join the energy revolution today.
Recent Trends In Ai Enabled Technologies
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Author : Gangamohan Paidi
language : en
Publisher: Springer Nature
Release Date : 2025-08-15
Recent Trends In Ai Enabled Technologies written by Gangamohan Paidi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2024, which took place in Hyderabad, India, during December 27-28, 2024. The 18 full papers in this book were carefully reviewed and selected from 75 submissions. These papers focus on topics of AI enabled technologies, including machine learning, soft computing, and deep learning algorithms.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.