Editors: D. Arul Pon Daniel, T. Rajasanthosh Kumar, Satya Prakash Yadav

Series Title: Emerging Trends in Computation Intelligence and Disruptive Technologies - Volume 6

Embracing the Digital Horizon: Advanced AI and Intelligent Systems for Transformative Commerce and Management

Volume 6

eBook: US $79 Special Offer (PDF + Printed Copy): US $143
Printed Copy: US $103
Library License: US $316
ISBN: 979-8-89881-445-8 (Print)
ISBN: 979-8-89881-444-1 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988144411260601

Introduction

Embracing the Digital Horizon is a comprehensive collection of cutting-edge research, anchored in multidisciplinary innovation, that captures the rapid evolution of artificial intelligence, intelligent systems, and advanced engineering technologies shaping modern commerce and management.

With rigorously peer-reviewed chapters, the book covers embedded hardware–software co-design, energy-efficient and sustainable architectures, intelligent sensing, real-time optimisation, advanced control systems, with additional focus on cyber-physical integration, IoT-enabled automation, machine-learning-driven decision frameworks, and robotics applications. Each contribution combines strong theoretical foundations with experimental validation, analytical modelling, comparative evaluations, and real-world case studies, effectively bridging academic research and industry practice.

With its emphasis on scalable, sustainable, and intelligent automation, the book offers valuable insights into next-generation digital ecosystems and the technologies driving transformation across engineering, commerce, and management.


Key Features

  • - Multidisciplinary coverage of AI, intelligent systems, automation, and embedded technologies.
  • - Application-driven research with real-world engineering and industrial case studies.
  • - Comparative evaluation of modern computational, control, and optimisation methods.
  • - Integration of AI, IoT, cyber-physical systems, and robotics for smart environments.
  • - Focus on scalable, sustainable, and future-ready intelligent automation strategies.
  • - Identification of emerging research challenges and future innovation pathways.

Readership:

Students, researchers, academics and professionals in artificial intelligence, embedded systems, automation, computing, and control engineering.

Preface

- Pp. i
D. Arul Pon Daniel, T. Rajasanthosh Kumar, Satya Prakash Yadav
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List of Contributors

- Pp. ii-viii (7)

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An Experimental Framework for Optimising the AI-Driven Supply Management Solution

- Pp. 1-8 (8)
Guna Sekhar Sajja*, Ravinjit Singh, M. Gomathi, Kirti Gupta, Vikash Sawan, S. Sujatha

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AIML-Based Automated HR Management System

- Pp. 9-18 (10)
Divya Boddukoori*, J. Balamurugan, Rakatu Vijaya Lakshmi, Sonia Gudwani, Basi Reddy.A, P. Mahendran

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Implementing a Data Mining-Based Marketing System

- Pp. 19-27 (9)
G. Gokul Kumari*

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Development of a Chatbot Supporting System to Support the Payment Application for Customer Support

- Pp. 28-37 (10)
Syed Naimatullah Hussain*, R. Senthamil Selvan, J. Balamurugan, Basi Reddy A

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Implementation of Digitalized HR Process by AI and IoT

- Pp. 38-46 (9)
B. Keerthana*, Thiruma Valavan A, V. Lavanya, Twinkle Trivedi, K N L D Bhavani, Vikash Sawan

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An Efficient Intrusion Detection Model with Novel Machine Learning Stacking Ensemble Techniques

- Pp. 47-61 (15)
T. V. Sai Krishna*, P. Seetha Lakshmi, M. Prathyusha, M. Swapna, J. Kanimozhi, K. Venkataramana, Raja Kumar Murugesan, Sukhminder Kaur

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Machine Learning (ML) is Used in the Banking Industry to make Decisions on Loan Approval

- Pp. 62-71 (10)
S. Anitha, Navya Sree. R, D. Ananda Babu, D. Sharadha Mani, Cherry Lyn Navato, Sk. Shamhad Ahamad, P. Sudhakiran

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The Impact of 3D Printing and Machine Learning in the Manufacturing Industry

- Pp. 72-87 (16)
Y. Sesha Rao*, Srinivasa Reddy Vempati, S. Kondala Rao, Liew Kia Wai, M. Srinivasulu, M. Rama

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The Problems of Cashless Transactions Among the Professionals in the Kanyakumari District

- Pp. 88-99 (12)
M. Nandhini*, K. Ramesh

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Intelligent Additive Manufacturing is Unleashing the Power of 3D Printing with Machine Learning

- Pp. 100-117 (18)
Srinivasa Reddy Vempati*, R. Srinivasulu, M. Haritha, V.S.J.C. Prasad, Kok Chee Kuang, N. S. Kalyan Chakravarthy, S. Jafar Ali Ibrahim, Vijayan Sugumaran

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AI-Based Data-Based Decision-Making System to Optimize Business Performance

- Pp. 118-125 (8)
Navaneetha Krishnan Rajagopal*, Arunkumar Gunasekaran, Vijaya Lakshmi V, K Guru, Anil Kumar Bisht, D Saravanan

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Al Effect on Employment Sustainability

- Pp. 126-134 (9)
E. Hymavathi*, Navaneetha Krishnan Rajagopal, S Vignesh, Vijay Ramalingam, R Parthiban, D Saravanan

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Long and Short Implications of ChatGPT and Generative AI on the Labour Market View

- Pp. 135-145 (11)
Navaneetha Krishnan Rajagopal*, Subathra G, Arul Prakash A, D Saravanan, Priya Singh, U Palani

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IoT-Based Indoor Navigation System: Emphasizing Data-Driven Insights for Enhanced User Experience

- Pp. 146-153 (8)
Arunkumar Gunasekaran*, R. Rajesh, S. Vignesh, Arul Prakash A, D Saravanan, R Parthiban

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Integration of Generative AI and Computer Vision in the Retail Market to Reshape the Industry Dynamics

- Pp. 154-161 (8)
A Ravisankar*, D Saravanan, R. Rajesh, Vijay Ramalingam, Priya Singh, U Palani

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A Novel Machine Learning-based Web Application for Disease Detection

- Pp. 162-170 (9)
V. Prasanna Kumari*, G. Thiyagarajan, M. Kaaviya, G. Vijaya Lakshmi, S. Adhithyan

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A Study on Analyzing the Impact of the Internet on Managing Organizations- Special Reference to the Education Sector

- Pp. 171-179 (9)
Sk. Shamshad Ahamed*, Raihana Parveen R, Galeeb Shaik, T. Bindu, G. Ramesh Babu, P. Giriasree, D. Hanuma Reddy, Vijayan Sugumaran

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A Hybrid Model for Multilevel Thresholding Segmentation for Detecting Leaf Disease in Groundnut Plants

- Pp. 180-192 (13)
K. Gowrishankar*, S. Lakshmi Prabha

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Transformer-based U-net Model for Segmentation of Paddy Leaf Disease

- Pp. 193-202 (10)
K. Dhanalakshmi*, S. Lakshmi Prabha

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A Study on Factors Influencing Consumer Buying Behaviour on Health Drinks with Special Reference to Palakkad District

- Pp. 203-210 (8)
V. Lakshmi*, Manju Shree Raman

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Machine Learning Model: Operating Machinery Status for Fault Prediction

- Pp. 211-220 (10)
Ravindra Changala*, K. Deepthi, Keerthivasan Krishnamoorthy, Thiruma Valavan A, S. Rakesh, G Kiran Kumar

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Development of Forecasting Models to Predict the Power Consumption of Charging Stations: IoT

- Pp. 221-231 (11)
Madhu Valavala*, Thiruma Valavan A, C Ravindra Murthy

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IoT-based Detection System to Support Electric Vehicle Charging Stations

- Pp. 232-243 (12)
L. Chandra Sekhar Reddy*, Md Tanwir Alam, G.C Madhu, M. Angelin Ponrani

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Diabetes Prediction Using Supervised and Unsupervised Machine Learning

- Pp. 244-255 (12)
BSH. Shayeez Ahamed*, Shaik Fazeelunnisa, Vempalli Noor Mohammed, Obulam Vinisha, K. Yeswanth

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Evaluating Ensembles of Machine Learning Models for the Prediction of Smartphone Addiction

- Pp. 256-265 (10)
BSH. Shayeez Ahamed*, M. Lochana, C. Likhitha, G. Jagadeesh

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Deep Learning-Based Emotion Recognition System with Depression Detection Capability

- Pp. 266-273 (8)
R. Usha*, B. Lokesh, G. Revanth, P. Naresh, A. Padmalatha

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Tackling Environment Unpredictability: A SensorBased Approach to Temperature and Humidity Control

- Pp. 274-282 (9)
M. Hari Babu*, S. Anitha, V. Jaikumar, T. Sunitha, B. Venkata Prasanth, Junel Ventura, K. Srinivasa Rao

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Evaluating Ensemble Machine Learning Approaches for Accurate Flight Pricing Predictions

- Pp. 283-292 (10)
R. Usha*, G. Dinesh, L. Sumanth, P. Venkateswar Reddy, E. Vamsi Kumar

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Facial Biometrics for Seamless Attendance Tracking in Educational Institutions

- Pp. 293-302 (10)
Kumar Akuthota*, Kapu Niharika, Sajjarao Pavan Krishna, Mangala Ravindra Sai, Savadam Narasimhulu

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Subject Index

- Pp. 303-306 (4)
D. Arul Pon Daniel, T. Rajasanthosh Kumar, Satya Prakash Yadav
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