Editor: Brojo Kishore Mishra

Series Title: Advances in Computing Communications and Informatics

Data Science and Interdisciplinary Research: Recent Trends and Applications

Volume 5

eBook: US $49 Special Offer (PDF + Printed Copy): US $90
Printed Copy: US $65
Library License: US $196
ISSN: 2737-5722 (Print)
ISSN: 2737-5730 (Online)
ISBN: 978-981-5079-01-2 (Print)
ISBN: 978-981-5079-00-5 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150790051230501

Introduction

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.

The book highlights many use cases for recommendation systems:

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.

Audience: Researchers, academics, and professionals seeking to leverage cutting-edge technologies for transformative applications.

Preface

- Pp. i
Brojo Kishore Mishra
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List of Contributors

- Pp. ii-iii (2)

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A Comprehensive Study and Analysis on Prediction of Rainfall Across Multiple Countries using Machine Learning

- Pp. 1-27 (27)
C. Kishor Kumar Reddy*, P.R. Anisha, Nguyen Gia Nhu

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A Novel Approach for Clustering Large-scale Cloud Data using Computational Mechanism

- Pp. 28-39 (12)
Zdzislaw Polkowski, Jyoti Prakash Mishra, Sambit Kumar Mishra*

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Secure Communication Over In-Vehicle Network Using Message Authentication

- Pp. 40-72 (33)
Manjunath Managuli*, Sudha Slake, Pankaja S. Kadalgi, Gouri C. Khadabadi

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A Decision Model for Reliability Analysis of Agricultural Sensor Data for Smart Irrigation 4.0

- Pp. 73-89 (17)
Subhash Mondal, Samrat Podder, Diganta Sengupta*

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Machine Learning based Smart Electricity Monitoring & Fault Detection for Smart City 4.0 Ecosystem

- Pp. 90-102 (13)
Subhash Mondal, Suharta Banerjee, Sugata Ghosh, Adrija Dasgupta, Diganta Sengupta*

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Investigating the Effectiveness of Mobile Learning in Higher Education

- Pp. 103-122 (20)
V. Kalaiarasi*, D. Alamelu, N. Venugopal

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Socio-Economy of Coastal Fishing Community of Southern Coast of Odisha: A Case Study

- Pp. 123-148 (26)
T. Padmavati*

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Filtering Techniques for Removing Noise From ECG Signals

- Pp. 149-171 (23)
K. Manimekalai*, A. Kavitha

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Deep Learning Techniques for Biomedical Research and Significant Gene Identification using Next Generation Sequencing (NGS) Data: - A Review

- Pp. 172-216 (45)
Debasish Swapnesh Kumar Nayak*, Jayashankar Das, Tripti Swarnkar

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Breast Cancer Detection Using Machine Learning Concepts

- Pp. 217-238 (22)
Fahmina Taranum*, K. Sridevi

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Subject Index

- Pp. 239-244 (6)
Brojo Kishore Mishra
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