Advances in Computing Communications and Informatics
The prime objective of this series “Advances in Computing Communication and Informatics” (ACCI) is to publish high quality books, edited volumes and conference proceedings that contribute to the areas related to recent computing technologies, advancements in communication and informatics. It is expected that all textbooks, monographs, edited volumes and conference proceedings must be aligned to the main subject line of series in a coherent manner. This series may emerge as one of the main choice among researchers, scholars, scientists and professor due to its relevance in today’s world. Now a day’s computing technologies are one of the core areas of development in smart cities. Computing technologies are mainly integrated with communication and informatics, so this series may cover all aspect of current and future innovations and ideas under one umbrella. Informatics and computing are the key tools for developing intelligent systems. Hence, integration of these three key technologies will provide solutions to complex and unsolved engineering problems in an intelligent manner.
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Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare
This book offers in-depth reviews of different techniques and novel approaches of using blockchain and artificial intelligence in smart healthcare services. The volume brings 14 reviews and research articles written by academicians researchers and industry professionals to give readers a current perspective of smart healthcare solutions for medical and public health services.
The book starts with examples of how blockchain can be applied in healthcare services such as the care of osteoporosis patients and security. Several chapters review AI models for disease detection including breast cancer colon cancer and anemia. The authors have included model design and parameters for the benefit of professionals who want to implement specific algorithms. Furthermore the book also includes chapters on IoT frameworks for smart healthcare systems giving readers a primer on how to utilize the technology in this sector. Additional use cases for machine learning for gesture learning. COVID-19 management and sentiment analysis.
Data Science and Interdisciplinary Research: Recent Trends and Applications
Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters this book showcases diverse models of machine learning communications signal processing and data analysis illustrating their relevance in various fields.
Key Themes:
Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries showcasing its potential to enhance weather forecasting.
Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data addressing the scalability of cloud computing and data analysis.
Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks emphasizing message authentication and data integrity.
Smart Irrigation 4.0: Details a decision model designed for smart irrigation integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture.
Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems contributing to the development of smart cities.
Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education shedding light on the role of technology in shaping modern learning environments.
Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities offering insights into the livelihoods and challenges they face.
Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals enhancing the accuracy of medical data analysis and diagnosis.
Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research particularly in the realm of gene identification using Next Generation Sequencing (NGS) data.
Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts demonstrating the potential of AI-driven diagnostics.
This volume bridges the gap between data science and interdisciplinary research making it a valuable resource for researchers academics and professionals seeking to leverage cutting-edge technologies for transformative applications.
Recent Advances in IoT and Blockchain Technology
Blockchain whether public or private is capable enough to maintain the integrity of transactions by decentralizing the records for users. Many IoT companies are using blockchain technology to make the world a better-connected place. Businesses and researchers are exploring ways to make this technology increasingly efficient for IoT services.
This volume presents the recent advances in these two technologies. Chapters explain the fundamentals of Blockchain and IoT before explaining how these technologies when merged together provide a transparent reliable and secure model for data processing by intelligent devices in various domains.
Readers will be able to understand how these technologies are making an impact on healthcare supply chain management and electronic voting to give a few examples. The 10 peer-reviewed book chapters have been contributed by scholars researchers academicians and engineering professionals and provide a comprehensive yet easily digestible update on Blockchain on IoT technology.