Professor Celestine Iwendi

This proceedings book offers a refined and comprehensive exploration of cutting-edge advancements in communication networks, computational intelligence, and smart applications, seamlessly blending theoretical insights with practical solutions. Each paper outlines objectives, challenges, proposed solutions, and key findings, enabling swift comprehension of complex topics. By adopting a problem-solving approach and including case studies, the book effectively demonstrates the application of advanced techniques in domains such as industry, healthcare, and smart cities. Addressing the demands of an evolving digital landscape, it highlights emerging technologies like artificial intelligence (AI), the Internet of Things (IoT), and autonomous systems, ensuring its relevance to both current challenges and future innovations. Covering a wide spectrum of topics, including network security, AI applications, IoT ecosystems, and smart technologies, the book serves as a comprehensive resource for understanding the innovations shaping the future of communication and computing. Targeted at graduate students, researchers, professors, and industry professionals, it functions as both an educational tool and a reference guide for those seeking to remain at the forefront of technological advancements. Featuring state-of-the-art research contributions, the book introduces new techniques, algorithms, and solutions to real-world challenges, complemented by structured insights into objectives, problems, and results. Practical applications are brought to life through successful case studies in key areas like smart cities and healthcare, illustrating the tangible impact of these innovations. With contributions reviewed by a distinguished editorial team of leading researchers, engineers, and academics, the book ensures credibility, academic rigor, and relevance. By blending theoretical depth, practical utility, and expert validation, this proceedings book is an indispensable resource for navigating the rapidly evolving fields of computing and communication technologies, equipping readers with the knowledge and tools to excel in an increasingly digital and interconnected world.

This proceedings book offers a refined and comprehensive exploration of cutting-edge advancements in communication networks, computational intelligence, and smart applications, seamlessly blending theoretical insights with practical solutions. Each paper outlines objectives, challenges, proposed solutions, and key findings, enabling swift comprehension of complex topics. By adopting a problem-solving approach and including case studies, the book effectively demonstrates the application of advanced techniques in domains such as industry, healthcare, and smart cities. Addressing the demands of an evolving digital landscape, it highlights emerging technologies like artificial intelligence (AI), the Internet of Things (IoT), and autonomous systems, ensuring its relevance to both current challenges and future innovations. Covering a wide spectrum of topics, including network security, AI applications, IoT ecosystems, and smart technologies, the book serves as a comprehensive resource for understanding the innovations shaping the future of communication and computing. Targeted at graduate students, researchers, professors, and industry professionals, it functions as both an educational tool and a reference guide for those seeking to remain at the forefront of technological advancements. Featuring state-of-the-art research contributions, the book introduces new techniques, algorithms, and solutions to real-world challenges, complemented by structured insights into objectives, problems, and results. Practical applications are brought to life through successful case studies in key areas like smart cities and healthcare, illustrating the tangible impact of these innovations. With contributions reviewed by a distinguished editorial team of leading researchers, engineers, and academics, the book ensures credibility, academic rigor, and relevance. By blending theoretical depth, practical utility, and expert validation, this proceedings book is an indispensable resource for navigating the rapidly evolving fields of computing and communication technologies, equipping readers with the knowledge and tools to excel in an increasingly digital and interconnected world.

Technology's rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more.

As artificial intelligence (AI) revolutionizes communication and decision-making, its impact on industries and daily life grows. The AI boom has created an exciting opportunity for leaders to optimize human interaction, streamline decisions, and boost productivity across various fields. To compete at the highest level in today's fast paced environments, understanding the potential of these technologies is essential. Enhancing Communication and Decision-Making With AI explores cutting edge possibilities for improvement in AI-driven collaboration, predictive analytics, and ethical considerations. These chapters provide practical applications and insights for integrating AI into communication and decision-making to create compelling communications material and drive consumer action. Covering topics such as social media influence, competitive advantage frontiers, and computational intelligence, this book is designed with professionals, researchers, and students in mind.

In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management.
AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.
Targeted at undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. It offers insights into emerging trends, ethical considerations, and best practices, making it an essential resource for anyone interested in leveraging technology to mitigate the impact of natural disasters.

This book comprehensively covers the evolution of advanced learning pedagogy and innovative technologies like open educational resources and blended learning models. It specifically talks about the future of technology-enhanced learning and how advanced technology and government policies together are trying to impact learning outcomes globally. Nowadays in a flexible learning environment, technology plays a significant role in higher education systems. Both educators and students are playing prominent roles in its successful implementation. Advanced learning pedagogy by using technology has not only changed teaching procedures but has also evolved the relationship among multiple stakeholders.

The content of the book is neatly segregated into four parts. Part I covers the concept and evolution of digital learning and education technology. This part examines the role of technology in higher education and proposes a toolkit for personalized learning and continuous assessment.

Parts II and III creatively represent the innovative teaching techniques and learning models under advance learning pedagogy. Chapters under parts II and III are specially designed to present the more simplistic view of various technology-based advanced learning models and resources like flipped classes, gaming designs for e-learning, etc. Part III of the book also extensively covers various case studies/instructor’s stories of technology enabled learning experiences.

Part IV focuses on the evaluation of advance learning pedagogy and tools. It also covers the future of information in learning (like formative analytics) and improved learning outcomes using technology and government initiatives in the form of various future oriented education policies like the Digital Action Education Plan (2021–2027).

The wide-ranging content also covers the challenges of implementation of advanced learning pedagogy and offers recommendations to overcome such challenges. The book will grab the attention of the modern (IT-enabled) instructor’s fraternity, and students and researchers in the area of technology and education. The book can be further used by policymakers and educational-technology startups to formulate and design technology-based higher education teaching policies and procedures which are indeed helpful in measuring learning outcomes.

This book provides a comprehensive exploration of the aspects of the current state-of-the-art digital technological intervention for precision agriculture for sustainable agricultural development. It delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used in agriculture to make it more farmer-friendly and more economically profitable.
The volume discusses the use of smart sensors, actuators, and decision support systems for precision agriculture that provide intelligent data about crop health and for monitoring for yield prediction, soil quality, and nutrition requirement prediction, etc., using machine learning, deep learning, and artificial intelligence through a globally connected system via the Internet of Things (IoT).
The book begins with a section on AI in agriculture that looks at using satellite data for vegetation studies, AI-based solutions to increase farmer income, satellite images for yield prediction using machine learning algorithms, and more. The second section presents robotic-based innovations in agriculture, including agricultural field robots, along with cobots (computer-controlled robotic devices designed to people) used in and outside farms and greenhouses, methods for continual robotic monitoring of crops, robot-based weed identification and control systems, and more.
The section on intelligent computing in agriculture looks at soft computing methodologies and frameworks for yield forecasting for crop production, machine learning techniques to classify and identify plant diseases, machine learning algorithms to analyze all factors affecting crop yield and the climatic effect on produce, deep convolutional neural networks (DCNNs) for recognizing nutrient deficiencies, etc. The last section explores IoT in agriculture and provides an overview of the research that has gone into making smart precision agriculture a reality, IoT applications for smart garden plantation condition monitoring, smart agriculture that makes use of cloud computing and IoT, and much more.
The book covers artificial intelligence in agriculture, robotic-based innovations in agriculture, intelligent computing in agriculture, and the Internet of Things in agriculture, providing a rich resource on this exciting and developing area.

The third International Conference on Advances in Communication Technology and Computer Engineering.
Today, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning.
This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations.
The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.