Parma Nand – författare

Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses.This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.

Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses.This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.

Smart cities with various technological innovations have played an important role and influenced society as well. Due to voluminous data transactions within smart cities, security and privacy concerns need to be dealt with. Though taking care of safety and privacy is challenging, it is essential for a smart city to understand the bio-inspired computing paradigms. This book discusses the utilization of bio-inspired computing procedures for effective computational devices.Discusses real-world usage of bio-inspired computationsHighlights how bio-inspired computations hold the potential to significantly increase network security and privacyTalks about how society can avoid consequences of cyber security breachesExamines the combination of bio-inspired computational methods with IoT, AI and big dataThis book is primarily aimed at graduates, researchers, IT and industry professionals

Smart cities with various technological innovations have played an important role and influenced society as well. Due to voluminous data transactions within smart cities, security and privacy concerns need to be dealt with. Though taking care of safety and privacy is challenging, it is essential for a smart city to understand the bio-inspired computing paradigms. This book discusses the utilization of bio-inspired computing procedures for effective computational devices.Discusses real-world usage of bio-inspired computationsHighlights how bio-inspired computations hold the potential to significantly increase network security and privacyTalks about how society can avoid consequences of cyber security breachesExamines the combination of bio-inspired computational methods with IoT, AI and big dataThis book is primarily aimed at graduates, researchers, IT and industry professionals

Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data.IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter.Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data.IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter.Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing.Salient Features:Combines AI for both cyber defense and smart policing in one placeCovers novel strategies in future to help cybercrime examinations and policeDiscusses different AI models to fabricate more exact techniquesElaborates on problematization and international issuesIncludes case studies and real-life examplesThis book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing.Salient Features:Combines AI for both cyber defense and smart policing in one placeCovers novel strategies in future to help cybercrime examinations and policeDiscusses different AI models to fabricate more exact techniquesElaborates on problematization and international issuesIncludes case studies and real-life examplesThis book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

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.

Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them.Features:Illustrates different frameworks of SDN and their security issues in a single volumeDiscusses design and assessment of efficient SDN northbound/southbound interfacesDescribes cognitive computing, affective computing, machine learning, and other novel toolsIllustrates coupling of SDN and traditional networking – Hybrid SDNExplores services, technologies, algorithms, and methods for data analysis in CSDNThe book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems.

Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them.Features:Illustrates different frameworks of SDN and their security issues in a single volumeDiscusses design and assessment of efficient SDN northbound/southbound interfacesDescribes cognitive computing, affective computing, machine learning, and other novel toolsIllustrates coupling of SDN and traditional networking – Hybrid SDNExplores services, technologies, algorithms, and methods for data analysis in CSDNThe book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book:Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

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 effectiveness of federated learning in high‑performance information systems and informatics‑based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT‑based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.Features:Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users’ privacyDescribes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated learning framework in cloud‑edge and wireless‑edge architecture for intelligent IoT applicationsComprises real‑life case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated learning‑based intelligent algorithms for smart communications.

The effectiveness of federated learning in high‑performance information systems and informatics‑based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT‑based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.Features:Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users’ privacyDescribes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated learning framework in cloud‑edge and wireless‑edge architecture for intelligent IoT applicationsComprises real‑life case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated learning‑based intelligent algorithms for smart communications.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book:Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions.It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

This reference text covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and engages in a discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication. It further presents concepts and theories related to high-speed communication systems, which are important in intelligent wireless communications.Features:• Discusses machine learning-based network management strategy in wireless systems, and machine learning-inspired big data analytics frameworks for wireless network applications.• Presents high-speed communication systems, deep learning for wireless networks, security aspects in wireless networks, and decision-making for wireless networks.• Highlights the importance of using deep reinforcement learning in intelligent wireless networks and deep reinforcement learning-based mobile data offloading frameworks.• Covers novel network architectures for distributed edge learning, and privacy issues in distributed edge learning.• Illustrates experimentation and deep learning-based simulations in networking systems, deep learning-based communication frameworks for multiuser detection and sparse channel estimation.The book is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

CYBER-PHYSICAL SYSTEMS The 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics. Cyber-Physical Systems (CPS) is the interconnection of the virtual or cyber and the physical system. It is realized by combining three well-known technologies, namely “Embedded Systems,” “Sensors and Actuators,” and “Network and Communication Systems.” These technologies combine to form a system known as CPS. In CPS, the physical process and information processing are so tightly connected that it is hard to distinguish the individual contribution of each process from the output. Some exciting innovations such as autonomous cars, quadcopter, spaceships, sophisticated medical devices fall under CPS. The scope of CPS is tremendous. In CPS, one sees the applications of various emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), deep learning (DL), big data (BD), robotics, quantum technology, etc. In almost all sectors, whether it is education, health, human resource development, skill improvement, startup strategy, etc., one sees an enhancement in the quality of output because of the emergence of CPS into the field. AudienceResearchers in Information technology, artificial intelligence, robotics, electronics and electrical engineering.

Explores the use of AI and blockchain to develop secure, efficient, and data-driven solutions in healthcare Artificial intelligence (AI) and blockchain are redefining modern healthcare, addressing critical challenges in data security, patient management, and operational efficiency. Empowering Healthcare Through AI and Blockchain provides an in-depth examination of how these technologies can enhance diagnostics, streamline workflows, and ensure transparency in medical data management. With real-world case studies and expert insights, this book addresses the potential of AI-powered predictive analytics, personalized medicine, and blockchain-enabled patient data security. Featuring contributions from leading experts in AI, blockchain, cybersecurity, and healthcare technology, Empowering Healthcare Through AI and Blockchain offers a structured approach to understanding technology-driven healthcare solutions such as remote patient monitoring, clinical trials, and healthcare interoperability. Throughout the book, actionable insights equip professionals with the knowledge to harness AI and blockchain for better patient outcomes, operational improvements, regulatory com­pliance, and more. Explores the transformative impact of AI and blockchain on healthcare efficiency, security, and patient outcomesCovers AI-driven advancements such as predictive analytics, AI-assisted diagnostics, and personalized medicineAddresses the ethical, legal, and regulatory challenges associated with AI and blockchain in healthcareDiscusses complementary technologies such as IoT, big data analytics, and cloud computingOffers insights into future trends and technological advancements in healthcare over the next five yearsEmpowering Healthcare Through AI and Blockchain is an essential resource for healthcare professionals, IT specialists, data analysts, and policymakers seeking to leverage AI and blockchain in medical practice. It is an invaluable reference for professionals in healthcare technology, cybersecurity, health informatics, and medical research wanting to drive innovation in the field.

Secure your understanding of vital security and forensic strategies by purchasing Securing the Digital Frontier: Threats and Advanced Techniques in Security and Forensics, a definitive guide that empowers you to protect sensitive information and tackle cyber threats with insights from leading experts and real-world case studies. In the field of security and forensics, it’s crucial to implement strong security measures to protect sensitive data and effectively respond to cyber incidents. Digital forensics is vital for analyzing cyber threats, where experts use advanced techniques to scrutinize digital artifacts, system logs, and network traffic. This approach helps reconstruct incidents, pinpoint vulnerabilities, and support legal actions, ensuring the confidentiality, integrity, and availability of crucial data in our rapidly evolving digital world. This book provides an in-depth look at security and forensics, pooling knowledge from top experts across various cybersecurity domains. It focuses on real-world applications and case studies, offering valuable insights for protecting information and responding to digital crimes. Designed for cybersecurity professionals, digital forensics investigators, legal teams, and academics, this comprehensive guide is a key resource for anyone looking to deepen their understanding of modern digital forensics and cybersecurity challenges.

This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book: Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges;Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes;Offers authoritative insights into current AI trends and future developments in healthcare;Features real-world case studies and examples showcasing successful AI integrations in various medical fields.AudienceThis book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers.

The 25 chapters in this volume serve as a comprehensive guide to understanding and implementing blockchain-enabled solutions in the pharmaceutical industry. The pharmaceutical industry is undergoing a holistic transformation, where innovation is key to addressing complex challenges and enabling user-centric, customized services. This book explores the potential applications of blockchain technology in revolutionizing pharmaceutical processes. By integrating blockchain fundamentals, the pharmaceutical industry can enhance transparency, security, and efficiency in areas such as supply chain management, patient safety, and more. Blockchain can also improve regulatory compliance, streamline clinical trials, and protect data integrity. Furthermore, it enables secure transactions, reduces the prevalence of counterfeit drugs, and strengthens patient privacy and data management. Some of the subjects readers will find the volume covers include: How blockchain technology can revolutionize the healthcare sector by enabling a secure, decentralized, and tamper-proof system for handling patient data, and facilitating seamless information sharing across various healthcare providers • how blockchain transforms the pharmaceutical industry by enhancing drug traceability, ensuring product authenticity, and reducing counterfeit drugs • a comprehensive blockchain-based framework to improve the pharmaceutical supply chain from manufacturers to end consumers • how the Pharma-RBT solution utilizes blockchain technology to protect personally identifiable information (PII) during drug trials • the use of blockchain-based smart contracts to automate and streamline payment processes reducing transaction times and minimizing human errors • surveys how blockchain can ensure the validity of pharmaceutical products by providing an immutable and transparent ledger that tracks each phase of a drug’s lifecycle, from production to the end consumer • how blockchain can enhance the security of smart medicine vending machines • how blockchain can improve the kidney transplantation process by enhancing the security, traceability, and efficiency of donor-recipient matching, organ transportation, and post-operative care • how blockchain can contribute to the development of the metaverse by enabling decentralized ownership of virtual assets • how blockchain can improve clinical trials by enhancing transparency, efficiency, and ethical conduct in drug development • how blockchain technology can revolutionize the drug recall process • how integrating hybrid technologies with blockchain can enhance smart healthcare systems • how the metaverse can transform healthcare by offering immersive virtual environments for medical training, patient education, and remote consultations. Audience The book will appeal to researchers, scientists, and professionals in the biomedical and pharmaceutical industries, as well as computer scientists and experts in blockchain technology, cybersecurity, and logistics.

This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering.Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.

This book constitutes the refereed conference proceedings of the 11th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2023, held in Auckland, New Zealand, during November 22–24, 2023. The 34 full papers presented in this book were carefully reviewed and selected from 75 submissions.