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Advances in Smart Computing and Applications

First International Conference, ICASCA 2025, Ahmedabad, India, February 15–16, 2025, Proceedings

  • Conference proceedings
  • © 2026

Overview

Editors:
  1. Rajkumar Buyya

    1. The University of Melbourne, Melbourne, India

  2. Savita Gandhi

    1. GLS University, Gujarat, India

  3. Nirbhay Chaubey

    1. Ganpat University, Mehsana, India

  4. Harshal Arolkar

    1. GLS University, Gujarat, India

  5. Prerna Agrawal

    1. GLS University, Gujarat, India

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2619)

Included in the following conference series:

Conference proceedings info: ICASCA 2025.

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About this book

This book constitutes the refereed proceedings of the 1st International Conference on Advances in Smart Computing and Applications, ICASCA 2025, held in Ahmedabad, India, during February 15–16, 2025.

The 25 full papers were presented in this volume were carefully reviewed and selected from 112 submissions. They focus on Machine Learning, Deep Learning, Transfer Learning, Neural Computing, Artificial Intelligence, Reinforcement Learning, Recommendation systems, Soft computing, Intelligent Systems, Pattern Recognition, Natural Language Processing, Big Data Analytics, Networks, Text Mining, Web Mining, Data Streams, Image Processing, Distributed Databases, Block Chain.

Keywords

Table of contents (25 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. AI Enabled Human Action Recognition

    • Saloni Sah, Suchit Purohit
    Pages 1-13

  3. Enhanced Date Fruit Classification with a Novel One-Dimensional Convolutional Neural Network

    • Thi-Thu-Hong Phan, Quoc-Trinh Vo, Cao-Vu Bui, Luong Vuong Nguyen
    Pages 14-24

  4. A Patch Classification-Based Framework for Skin Disease Segmentation and Classification

    • Summi Goindi, Khushal Thakur, Divneet Singh Kapoor
    Pages 25-37

  5. Accuracy Improvement of Fish Counting in Sonar Images Using Deep Learning with Double Transfer Learning

    • Duc-Minh Nguyen, Trung-Quan Hoang, Tri-Nhan Nguyen, Quoc-Trinh Vo
    Pages 38-48

  6. Predicting Agricultural Crop Yield in Indian States Using Machine Learning Models

    • Kartikay Rastogi, Nivesh Pritmani, Vatsal Fichadia, Samir Patel
    Pages 49-66

  7. Stacked Model-Based Credit Risk Prediction: Enhancing Accuracy and Fairness in Loan Approvals

    • Rohan Kumar Jha, Parveen Kumar Saini, Om Mishra, Parva Rastogi
    Pages 67-81

  8. Hybrid Multi-Objective Optimization for Efficient Workflow Scheduling in Cloud Computing Environments: A PSO-GD Integrated Approach

    • Vivek Kumar, Ram Krishan
    Pages 82-94

  9. Exploring Novel Perspective on Collaborative AI: Techniques, Challenges, and Limitations

    • Toan Q. Dinh, Hieu D. Dang, Anh B. T. Phan, Phuc-Hung Pham Le, Anh-Thi Hoang Nguyen, Luong Vuong Nguyen
    Pages 95-107

  10. Enhanced Malicious URL Detection Through Feature Significance Analysis

    • Twinkle Patel, Digvijaysinh Rathod
    Pages 108-133

  11. A Smart Intelligence Intrusion Detection System Using Optimal Elephant Hardening Feature Selection with Deep Generative Adversarial Neural Network Classifier

    • N. Nathiya, B. Rama Priya, A. Sri Abirami, S. Deepika, S. Geethanjali, K. Mohana Valli
    Pages 134-147

  12. Breast Cancer Diagnostics with Deep Learning Schemes Using Multi-Image Modalities

    • Afsha Sultana, Mohd Ishaq
    Pages 148-161

  13. Ethical Implications of Using AI to Monitor and Regulate Dark Web Activities

    • Yogesh Kumar, Lakshdeep Singh Karnawal, Arnav Pokhriyal, Taruna Chopra, Urvashi Sangwan
    Pages 162-172

  14. Analyzing AI-Generated Text Using Machine Learning, Deep Learning and Large Language Models

    • Sneha Arun, Suchit Purohit, Jyoti Pareek
    Pages 173-187

  15. Predictive Modeling and Strategic Planning for Urban Flood Risk Mitigation

    • Patel Mitali, Nishit Patel, Kshitish Modi, Samir Patel
    Pages 188-199

  16. A Review on Deep Learning Techniques for Cervical Cancer Detection

    • Prachi Pramod Dusa, Pranav Raj Bulus, Veeramallu Bhanu Sai
    Pages 200-213

  17. Enhanced Covid-19 Detection Using CNN and Texture-Based Feature Extraction with Gradient Boosting Learner

    • Sukhwinder Bir, Vijay Dhir
    Pages 214-227

  18. AI for Intelligent Data Retrieval

    • Maulin Doshi, Paresh Virparia
    Pages 228-245

  19. Automated Skin Lesion Detection using Deep Learning Approach

    • Sreekara Karthik Gundlapalli, Gnanesh Vaka, P. Saranya
    Pages 246-254

  20. A Review on Student Behavior Detection

    • Y. Ramadevi, Joshi Abhinav Krishna, Abdul Rafay
    Pages 255-268
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Other volumes

  1. Advances in Smart Computing and Applications

Editors and Affiliations

  • The University of Melbourne, Melbourne, India

    Rajkumar Buyya

  • GLS University, Gujarat, India

    Savita Gandhi, Harshal Arolkar, Prerna Agrawal

  • Ganpat University, Mehsana, India

    Nirbhay Chaubey

Accessibility Information

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EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Advances in Smart Computing and Applications

  • Book Subtitle: First International Conference, ICASCA 2025, Ahmedabad, India, February 15–16, 2025, Proceedings

  • Editors: Rajkumar Buyya, Savita Gandhi, Nirbhay Chaubey, Harshal Arolkar, Prerna Agrawal

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-032-00350-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026

  • Softcover ISBN: 978-3-032-00349-2Published: 15 August 2025

  • eBook ISBN: 978-3-032-00350-8Published: 14 August 2025

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XXV, 348

  • Number of Illustrations: 24 b/w illustrations, 107 illustrations in colour

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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