Data Science and Interdisciplinary Research: Recent Trends and Applications (Advances in Computing Communications and Informatics)

Mishra, Brojo Kishore

ISBN 10: 9815079026 / ISBN 13: 9789815079029

Edité par Bentham Science Publishers, 2023

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N° de réf. du vendeur ria9789815079029_new

Détails bibliographiques

• Titre: Data Science and Interdisciplinary Research: Recent Trends and Applications (Advances in Computing Communications and Informatics)
• Éditeur: Bentham Science Publishers
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 9815079026
• ISBN à 13 chiffres: 9789815079029
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

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.