Demystifying Emerging Trends in the Digital Horizon

Satya Prakash Yadav, D. Arul Pon Daniel, G.N.R. Prasad

• Publisher: Bentham Science Publishers
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9789815324488
• Subtopic: Information Technology
• Index: Computer Science

Demystifying Emerging Trends in the Digital Horizon reflects the dynamic convergence of computing innovation into real-world applications. It is a multidisciplinary exploration of cutting-edge technologies shaping today's digital transformation landscape. Bringing together contributions across artificial intelligence, machine learning, IoT, cybersecurity, data analytics, smart manufacturing, digital marketing, and management sciences.

The volume covers a wide spectrum of topics, including AI-driven healthcare diagnostics (breast cancer, brain tumors, cardiac conditions, epileptic seizure prediction), intelligent agricultural systems (crop recommendation, automated irrigation), IoT-enabled predictive maintenance, smart surveillance, cybersecurity frameworks, DNA cryptography, secure cloud data sharing, blockchain integration, deep learning for image processing, and advanced image retrieval systems. It also explores management and organisational dimensions, including digital marketing analytics, e-recruitment, retail customer experience, HR practices in SMEs, industrial innovation through human–machine interfaces, and security culture in smart manufacturing.

With theoretical foundations and practical applications, the book provides readers with a holistic understanding of how emerging digital technologies are transforming industries, governance, healthcare, manufacturing, and business ecosystems.

Key Features
Multidisciplinary coverage spanning AI, IoT, cybersecurity, cloud computing, blockchain, and data analytics across healthcare, agriculture and manufacturing environments.


Advanced deep learning models for image processing, retrieval, and steganography


Secure cloud frameworks, cryptographic techniques, and cyber-attack detection systems


Real world cases studies, experimental validations and applied research on the application of digital technologies in HR, marketing, retail, and organisational management

Table of contents

• BENTHAM SCIENCE PUBLISHERS LTD.
• Preface
• List of Contributors
• Crop Recommendation System Using Machine Learning
• Development of Forecasting Models to Predict the Power Consumption of Charging Stations: IoT
• Night-Time Pedestrian Detection Using Millimetre-Wave Radar and Visual Data
• Advances in Gender Classification: DNN-Based Approach for Accurate Identification
• Artificial Intelligence for Breast Cancer Detection and Classification
• Effect of Temperature on Hydraulic Diffusivity for Different Building Materials
• Face Recognition Using Deep Learning in an Attendance Tracking System
• Automated Plant Irrigation System with Arduino Incorporating Message Notifications
• Touchless Hand Sanitizer Dispenser with Integrated Temperature and Heart Rate Monitoring
• Multi-frequency Antenna with AMC-Enhanced Coplanar Waveguide and Stepped Design
• Image Hiding in Videos: A New Approach to Steganography Using Pixel-Based Algorithm
• A Study on Analyzing the Impact of the Internet on Managing Organizations- Special Reference to the Education Sector
• Artificial Intelligence Driven Detection and Classification of Brain Tumors: Advancement and Challenges
• Detecting Pickpocket Defendants from Large-Scale Transit Records
• Epileptic Seizures Prediction using Deep Learning Techniques
• Guarding the Gates: A Secure System for Cloud Data Sharing
• Impact of Social Media Ads on Consumer Purchase Decisions among Youth
• DNA Cryptography with Ensemble Key Generation to Secure Cloud Computing
• A Study on Promotion and Reward Policy of the Salem Steel Plant
• An analysis of Applications of Deep Learning and Machine Learning in the identification of Cardiac Conditions
• An IoT AI-Driven Predictive Maintenance System for Anticipating and Preventing Equipment Failures in Manufacturing Environments
• Enhancing Human Organ Protection: Exploring Blockchain Technology and Machine Learning for Brain Image Data Analysis
• Transformative Insights: Unleashing the Potential of Learning Analytics
• Multi-Domain Image Retrieval Systems Using Object Detection and Segmentation Concepts
• Utilisation of Deep Neural Networks for Image Noise Reduction
• Entrepreneurial Opportunities in Industrial Innovation: Leveraging Human-Machine Interfaces (HMIs) to Enhance User Experience
• Deep Learning Models to Evaluate Pharmaceutical Formulation
• Fine-grained Owner-enforced Cloud Search Authentication using Keywords
• Measuring Retail Customer Experience and Its Impact on Customer Satisfaction
• Impact of E-Recruitment Techniques on the Indian Generation
• Preventing Cyberattacks on the E-Banking System
• Challenges Faced by Organisations in Implementing HR Practices in SMES Concerning Tirunelveli City
• Management Strategies for Building a Security Culture: Workforce Training and Awareness in Smart Manufacturing
• Detection of Cyber-Attacks in Networks Using Machine Learning Techniques
• Co-authorship Network Analysis and Co-occurrence Network of Keywords in Digital Marketing Research from India