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E-raamat: Advances in Computing and Data Sciences: 9th International Conference, ICACDS 2025, Tallinn, Estonia, August 28-29, 2025, Revised Selected Papers

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Advances in Computing and Data Sciences: 9th International Conference, ICACDS 2025, Tallinn, Estonia, August 28-29, 2025, Revised Selected PapersSuurem pilt
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This book constitutes the revised selected papers of the 9th International Conference on Advances in Computing and Data Sciences, ICACDS 2025, held in Tallinn, Estonia, during August 2829, 2025.



The 24 full papers presented in this volume were carefully reviewed and selected from 178 submissions. These papers focus in areas such as artificial intelligence, machine learning, big data analytics, cloud computing, computer vision, natural language processing, and related domains.
.- Novel Learning perspicacity of disciples about scripture texts from
pontiff - based optimization algorithm.


.- Performance and Productivity Trade-Offs in Modern PHP Frameworks: A
Laravel vs. Symfony Analysis.


.- Scalable Resource Allocation for Cloud IaaS Using Energy Valley
Algorithm.


.- Novel Quantum integrated growth and development of Indian economy - based
optimization and optimal cost-effective apartment construction in urban
region inspired algorithm.


.- Determining the Best Battery Alternative for Electric Vehicles Through
Spherical Fuzzy MCDM.


.- A Secure Frame Work Using Blockchain with CP-ABE for IoT Environment.


.- A Scalable Structure for Expert Module-Based Domain-Specific Adaptation of
Large Language Models.


.- Secure Data Transmission via Integrity-Preserving and Lossless
File-to-Image Sequence Encoding.


.- Security Vulnerabilities and Countermeasures in MQTT-SN Communication.


.- Optimizing Forecasting Pipelines with Hybrid Storage Models for High-Speed
Preprocessing.


.- White Blood Cell Image Analysis Using Vision Transformers and Smoothed
Feature Extraction.


.- Cluster Analysis for Detecting Energy Poverty Risk in Finnish Low-Income
Households.


.- Human Capital at Risk: Predictive Modeling for Strategic Retention
Decisions.


.- Finding Topic Distribution in Security Area of Swift Programming
Language.


.- Systematic Performance Evaluation of Machine Learning and Deep Learning
Methods on HateXplain Dataset for Cyberbullying Detection.


.- Efficient Driver Fatigue Detection via Face-Centric Transfer Learning with
MobileNetV2.


.- ChLAP: Chaotic Based Lightweight Authentication Protocol for Secure UAV
Communication.


.- Dynamic Test Case Prioritization through a Multifactor Approach using
MLP.


.- Leveraging Large Language Models and Social Media Data for Early Flood
Identification.


.- Age-Associated Differential Gene Expression in Early-Stage Cervical Cancer
Patients.


.- Abandoned Luggage Detection with Synthetic Scenario Generation.


.- Analysis of Shop Floor Accident Protection Using Machine Learning
Techniques.


.- A Hybrid Machine Learning and Reinforcement Learning based framework for
Intelligent Energy Management.


.- Integrating Convolutional Neural Networks and Transformer Architecture for
Accurate Potato leaf Disease Detection.
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