Ahmed J Obaid – författare

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science.Features• Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science.Features• Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

In the past decades, cyber-physical systems (CPSs) have been widely applied to fields such as smart grids, environment monitoring, aerospace, smart transportation, and industrial automation. Great strides have been made in CPSs to improve the computing mechanism, communication, and quality of service by applying optimization algorithms. Currently, these efforts are integrated with the applications of machine learning (ML) and artificial intelligence (AI). To maintain system reliability and stability, CPSs such as smart grids face numerous challenges, including large-scale Internet-of-Things (IoT) device adaptation, ever-increasing demands of electrical energy, and the rise of a wide range of security threats. These challenges bring forth the need to find sustainable and advanced solutions to guarantee reliable and secure operations in these systems.The goal of this book is to foster transformative, multidisciplinary, and novel approaches that ensure CPS security by taking into consideration the unique security challenges present in the environment. This book attracts contributions in all aspects pertaining to this multidisciplinary paradigm, which includes the development and implementation of Smart CPS, Supervisory Control and Data Acquisition (SCADA) systems, CPS for Industry 4.0, CPS architecture for IoT applications, and CPS forensics.This book:Discusses concepts including wireless sensor networks (WSNs), CPSs, and the IoT in a comprehensive manner.Covers routing protocols in sensor networks, attacks, and vulnerabilities in WSNs, the Internet of Cyber-Physical Things, and CPSs for industrial applications.Highlights technological advances, practical solutions, emerging trends, and prototypes related to privacy in CPSs and the IoT.Presents a pathway and architecture for proactive security schemes in CPSs to counter vulnerabilities, including phishing attacks, malware injection, internal stealing of data, and hacking.Discusses the most recent research and development on the enabling technologies for IoT-based CPSs.Owing to the scope and diversity of topics covered, the book will be of interest not only to researchers and theorists but also to professionals, material developers, technology specialists, and methodologists dealing with the multifarious aspects of data privacy and security enhancement in CPSs. The book will provide these professionals an overview of CPS security and privacy design, as well as enlighten them to promising solutions to research problems such as cyberattacks in CPS, risk identification and management in CPS, ML-based trust computational models for CPSs, nature-inspired algorithms for CPSs, and distributed consensus algorithms for event detection in CPSs. The secondary target audience of this book includes legal practitioners, hackers, cyber law policymakers, cyber forensic analysts, and global security consortiums who may use it to further their research exposure to pertinent topics in cybersecurity.

The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation.Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more.With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation.

The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation.Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more.With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation.

In the past decades, cyber-physical systems (CPSs) have been widely applied to fields such as smart grids, environment monitoring, aerospace, smart transportation, and industrial automation. Great strides have been made in CPSs to improve the computing mechanism, communication, and quality of service by applying optimization algorithms. Currently, these efforts are integrated with the applications of machine learning (ML) and artificial intelligence (AI). To maintain system reliability and stability, CPSs such as smart grids face numerous challenges, including large-scale Internet-of-Things (IoT) device adaptation, ever-increasing demands of electrical energy, and the rise of a wide range of security threats. These challenges bring forth the need to find sustainable and advanced solutions to guarantee reliable and secure operations in these systems.The goal of this book is to foster transformative, multidisciplinary, and novel approaches that ensure CPS security by taking into consideration the unique security challenges present in the environment. This book attracts contributions in all aspects pertaining to this multidisciplinary paradigm, which includes the development and implementation of Smart CPS, Supervisory Control and Data Acquisition (SCADA) systems, CPS for Industry 4.0, CPS architecture for IoT applications, and CPS forensics.This book:Discusses concepts including wireless sensor networks (WSNs), CPSs, and the IoT in a comprehensive manner.Covers routing protocols in sensor networks, attacks, and vulnerabilities in WSNs, the Internet of Cyber-Physical Things, and CPSs for industrial applications.Highlights technological advances, practical solutions, emerging trends, and prototypes related to privacy in CPSs and the IoT.Presents a pathway and architecture for proactive security schemes in CPSs to counter vulnerabilities, including phishing attacks, malware injection, internal stealing of data, and hacking.Discusses the most recent research and development on the enabling technologies for IoT-based CPSs.Owing to the scope and diversity of topics covered, the book will be of interest not only to researchers and theorists but also to professionals, material developers, technology specialists, and methodologists dealing with the multifarious aspects of data privacy and security enhancement in CPSs. The book will provide these professionals an overview of CPS security and privacy design, as well as enlighten them to promising solutions to research problems such as cyberattacks in CPS, risk identification and management in CPS, ML-based trust computational models for CPSs, nature-inspired algorithms for CPSs, and distributed consensus algorithms for event detection in CPSs. The secondary target audience of this book includes legal practitioners, hackers, cyber law policymakers, cyber forensic analysts, and global security consortiums who may use it to further their research exposure to pertinent topics in cybersecurity.

This book covers a wide range of topics such as mathematical modeling, computational methods, simulation techniques in engineering, and their applications in environmental sciences. It begins with an introduction to the fundamental concepts and principles of mathematical modeling with subsequent sections delving into various simulation techniques, including numerical methods, statistical modeling, and bio-mathematical modeling. It also explores the application of these techniques in addressing complex environmental problems.Features:Covers mathematical and computational modeling techniques for simulation in engineering, mathematical, and environmental domainsExplores intelligent techniques and simulation methods to enhance accuracy and efficiency in modeling and simulationIncludes practical applications and studies that demonstrate the effectiveness of techniques in real-world scenariosIncorporates pertinent newly developed methodologies and applicationsDiscusses CFD software tools like Fortran, MATLAB®, and MathematicsThis book is aimed at researchers and graduate students in computer engineering, applied mathematics, and applied ecology.

This book, Partnership for Sustainable Development: Bridging Disciplines, Solving Complex African Challenges, explores a comprehensive range of critical issues impacting Africa’s development, highlighting innovative approaches across diverse sectors. It is an academic volume focused on interdisciplinary and multi-sector collaboration to address Africa’s pressing development challenges. The book explores how partnerships across academia, government, industry, and communities can contribute to sustainable development and achievement of the Sustainable Development Goals (SDGs).The book serves as a valuable resource, documenting the rich discussions, findings, and actionable strategies that emerged from the conference. It examines how collaborative and interdisciplinary approaches can address Africa's most pressing development issues across key thematic areas including climate resilience, public health systems, sustainable agriculture, education, governance, technology and innovation, gender inclusion, and economic development. It demonstrates how partnerships between universities, governments, communities, non-governmental organizations, and the private sector generate practical and sustainable solutions. The main findings highlight that complex African challenges cannot be solved through isolated efforts or single disciplines alone; rather, effective development outcomes emerge when diverse sectors and knowledge systems work together. Locally driven initiatives, supported by strong institutional cooperation and evidence-based policymaking, significantly improve sustainability, social impact, and long-term development outcomes across the continent.The intended audience includes policymakers, academic researchers, development practitioners, civil society organizations, private sector stakeholders, and students interested in sustainable development across Africa. It is particularly relevant to professionals and institutions addressing interconnected social, economic, environmental, and governance challenges through interdisciplinary collaboration and evidence-based solutions.

This book, Partnership for Sustainable Development: Bridging Disciplines, Solving Complex African Challenges, explores a comprehensive range of critical issues impacting Africa’s development, highlighting innovative approaches across diverse sectors. It is an academic volume focused on interdisciplinary and multi-sector collaboration to address Africa’s pressing development challenges. The book explores how partnerships across academia, government, industry, and communities can contribute to sustainable development and achievement of the Sustainable Development Goals (SDGs).The book serves as a valuable resource, documenting the rich discussions, findings, and actionable strategies that emerged from the conference. It examines how collaborative and interdisciplinary approaches can address Africa's most pressing development issues across key thematic areas including climate resilience, public health systems, sustainable agriculture, education, governance, technology and innovation, gender inclusion, and economic development. It demonstrates how partnerships between universities, governments, communities, non-governmental organizations, and the private sector generate practical and sustainable solutions. The main findings highlight that complex African challenges cannot be solved through isolated efforts or single disciplines alone; rather, effective development outcomes emerge when diverse sectors and knowledge systems work together. Locally driven initiatives, supported by strong institutional cooperation and evidence-based policymaking, significantly improve sustainability, social impact, and long-term development outcomes across the continent.The intended audience includes policymakers, academic researchers, development practitioners, civil society organizations, private sector stakeholders, and students interested in sustainable development across Africa. It is particularly relevant to professionals and institutions addressing interconnected social, economic, environmental, and governance challenges through interdisciplinary collaboration and evidence-based solutions.

The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable. The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.  Authors include researchers, academics, and professionals in the field.

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.  Authors include researchers, academics, and professionals in the field.

This proceedings book of ICES 2023 presents the most recent studies on environmental sciences and environmental sustainability, which contributes to the resolution of environmental issues (air pollution, water pollution, soil pollution, noise pollution, thermal pollution, radioactive pollution, light pollution, and global warming). The discharge of environmental pollutants from industrial, commercial, residential, and sensible locations must be handled with care, since it may harm the air, water, and land if not adequately treated. As a result of the enormous volume of wastewater and environmental pollution generated daily, the majority of designs and developments of wastewater technologies and environmental treatment were unable to handle the load. This is a threat to sustainable growth, and it must be resolved in a precise, dependable, urgent, and timely manner. Sustainable creative and technical transfer approaches that can be utilized for supporting, operationalizing, and providing sustainable wastewater and environmental treatment solutions are of interest to us. The authors hope that the book covers the possible spectrum of wastewater technologies and environmental treatment up to a high level of environmental protection, clean and green management lessons, identify the barriers to transformational change, and then inform the agenda and initiatives for sustainable development. ICES 2023 is devoted to wastewater technology and environmental treatment, with an emphasis on environmental protection at the highest level. ICES 2023 aims to disseminate current knowledge and sustainable development, share experience and lessons gained, and generate conversation and reflection in order to promote a paradigm shift that is sustainable. With the distribution of sustainable wastewater technology and environmental treatment, the ultimate goal is to bring revolutionary change to sustainable development.

This proceedings book of ICES 2023 presents the most recent studies on environmental sciences and environmental sustainability, which contributes to the resolution of environmental issues (air pollution, water pollution, soil pollution, noise pollution, thermal pollution, radioactive pollution, light pollution, and global warming).

This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies.

Indonesia serves as a critical case study for understanding and addressing these issues, making it an ideal host for discussions on sustainable development and environmental protection.

This book presents the proceedings from the 2nd International Conference on Augmenting Artificial-Human Intelligence (ICAAHI 2025), held at Universitas Sulawesi Tenggara, Indonesia. It offers a comprehensive exploration of the latest advancements in human artificial intelligence and recent computational technologies. The collection of papers provides insights into cutting-edge research and applications, covering topics such as machine learning innovations, big data analytics, and human-centric AI systems.Readers will encounter expert analyses on the ethical and secure use of AI, as well as discussions on AI's transformative impact across various sectors, including healthcare, finance, and education. The book also addresses critical questions about the accelerating pace of AI development and its implications for society. Contributions from renowned scholars and industry experts highlight the potential and challenges of integrating AI with human intelligence.This volume is an essential resource for researchers, engineers, and industry professionals interested in the intersection of AI and human intelligence. It serves as a guide for navigating the complexities of AI technologies and their applications, making it a valuable addition to the libraries of academics and practitioners alike.

This book centers on the transformative role of emerging technologies in shaping next-generation learning and education spaces. It delves into innovative approaches such as flexible learning environments, virtual and augmented reality, adaptive and personalized learning systems, and data-driven educational decision-making. Additionally, it explores collaborative learning tools, professional development for educators, and the assessment of learning in digital environments. The book aligns with the conference’s mission to empower optimal resources and advance educational outcomes by effectively integrating cutting-edge technologies. Major Contribution to the Field: This book will serve as a resource for educators, researchers, and technology innovators by providing a comprehensive and interdisciplinary perspective on how emerging technologies can revolutionize educational spaces and practices. It bridges the gap between theoretical research and practical applications, offering actionable insights and evidence-based strategies for integrating technology into diverse educational settings. By synthesizing the latest advancements, case studies, and best practices, the book contributes to the creation of impactful learning environments that foster student engagement, personalization, and adaptability.

A product of the International Conference on Data Management and Information Retrieval (Polkowice, Poland), this volume explores the technological, algorithmic, and applied dimensions of data management and information retrieval. It spans a wide range of topics, including data warehousing, semantic search, knowledge discovery, federated learning, data ethics, multilingual search engines, and AI-driven indexing. It focuses on how large-scale data infrastructures interface with advanced retrieval systems, machine learning models, and user-centric design. The volume is grounded in real-world applications across various domains such as healthcare, urban planning, public administration, and e-commerce, offering rich examples of how data and retrieval models intersect in practical environments.This volume makes a substantial contribution to the field by presenting a unique blend of foundational research and domain-specific innovation. It highlights how modern information systems are evolving from basic search and indexing to adaptive, explainable, and federated retrieval models. In contrast to earlier publications focusing narrowly on retrieval models or big data systems in isolation, this volume integrates both areas into a shared framework emphasizing interoperability, user experience, privacy, and sustainability. It positions ICDMIR as a forward-looking conference that not only tracks academic progress but also shapes the discourse on how data should be organized, accessed, and understood in an increasingly complex digital world.