Dhoska / Spaho AI and Digital Transformation: Opportunities, Challenges, and Emerging Threats in Technology, Business, and Security

5th International Conference, ICITTBT 2025, Tirana, Albania, May 29–30, 2025, Proceedings, Part I
Erscheinungsjahr 2025
ISBN: 978-3-032-07373-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 729 Seiten

Reihe: Computer Science (R0)

This two-set volume CCIS 2669 and CCIS 2670 constitutes the post-conference proceedings of the 5th International Conference on AI and Digital Transformation: Opportunities, Challenges, and Emerging Threats in Technology, Business, and Security, ICITTBT 2025 held in Tirana, Albania during May 29-30, 2025.

The 65 full papers and 26 short papers presented in this volume were carefully reviewed and selected from 219 submissions. They were organized in the following topical sections:

Part I: Artificial Intelligence (AI); Data Analytics and Data Science; Advancements in IoT, Networking, Cloud, Robotics, and Cybersecurity.

Part II: Technology in Applied Sciences; Management, Business, Economics, and Social Sciences: Analytics, Strategy, and Governance; Digital Economy.

Zielgruppe

Research

Autoren/Hrsg.

Dhoska, Klodian

Spaho, Evjola

Inhaltsverzeichnis

.- ARTIFICIAL INTELLIGENCE (AI).

.- Explainable Artificial Intelligence and Hyperparameter-Optimized Machine Learning Models for Radiomic-Based Cancer Classification.

.- On Defining a Framework for Responsible and Ethical AI in Digital Transformation (FRE-AIDT): Advancements and Challenges.

.- Facial Spoof Detection Using Deep Learning Techniques for Enhanced Biometric Security.

.- A Web-Based Application for Personalized Avatar Generation: Integrating Facial Recognition with Digital Artistry.

.- Explainable AI for Malware Classification: Bridging the Gap Between Accuracy and Transparency.

.- AI-Driven Multi-Channel Acoustic Telemedicine System for Remote Pulmonary Disease Diagnosis.

.- Optimizing ETL Pipeline Performance with AI-Driven Data Partitioning and Parallel Processing in Python.

.- Defeating CAPTCHAs with CNN-Based Image Recognition: Methods and Mitigation Strategies.

.- Fully Automated Segmentation of Corpus Callosum using Mask R-CNN on MR Images.

.- Computer-Aided Diagnosis in Uterus Imaging.

.- A BERTBoost Framework for Risk Stratification of Intensive Care Unit Patients across Hospital Networks.

.- Agent AI-as-a-Service (AIaaS) in Multi-Cloud Environments: Challenges, Opportunities, and the Future of Autonomous AI-Driven Cloud Computing.

.- Exploring AI Adoption in Regional HEIs: Faculty Readiness and Use in Azerbaijan.

.- AI-Powered Edge Computing: Enhancing Cloud-Native AI Applications.

.- Reflections on AI and Literature Studies: Between Analytical Support and the Irreducibility of Literature.

.- AI Versus Human Translators: Accuracy and Context in the Translation of Cultural Idioms and Proverbs.

.- DATA ANALYTICS AND DATA SCIENCE.

.- Machine Learning and Mathematical Modeling in Agricultural Development.

.- Privacy-Preserving Synthetic Data Generation for Citizenship Datasets using Deep Learning CTGAN Model and API Integration-Albania case.

.- A Bi-LSTM and Technical Analysis-Based Framework for Financial Forecasting on Albanian Forex Markets.

.- Evaluating the Impact of Parallel Data Loading on Training Performance in PyTorch.

.- OpenMP-Accelerated Real-Time ECG Analysis: A Parallel and Distributed Approach.

.- Parallel Computing for Efficient Histopathological Image Classification: GPU-Accelerated Deep Learning for Breast Cancer Detection.

.- Sentiment and Topic Dynamics in Reddit Discussions on AI and Automation Innovation in the Workforce.

.- Predicting Academic Performance: A Machine Learning Approach to Grade Classification.

.- Evaluating ML Models for Trip Duration Prediction in Taxi Data.

.- Machine Learning-Based Time Series Prediction of Student Academic Performance: A Comparative Analysis of RF, SVM, and k-NN.

.- Classification of Healthcare Workers in Kenya Using Decision Tree: An Analytical Approach.

.- An Optimization Technique for Data Classifying of Technicians and Lecturers in Higher Education Institutions.

.- Machine Learning-Driven Anemia Diagnosis: A Comparative Study Using Blood Biomarkers from Complete Blood Count Data.

.- Predicting Customer Behavior Using Machine Learning Models on Salesforce CRM Data.

.- Automated Data Classification and Metadata Management Using Machine Learning in Python.

.- Development of a Computer-Aided Diagnosis System for Early Detection of Lung Cancer.

.- Predictive Modeling in Trauma: Integrating Machine Learning for Improved Mortality Assessment.

.- ADVANCEMENTS IN IOT, NETWORKING, CLOUD, ROBOTICS, AND CYBERSECURITY.

.- AI-Driven Evolution: Bridging 5G and 6G for a Hyper-Connected Future.

.- AI-Enhanced Compliance Monitoring in Healthcare Data Integration: A Mulesoft-Based Approach.

.- AI-Based Zero Trust Security Models for Cloud Computing.

.- Parallel Processing for Real-Time Decision-Making in Self-Driving Cars.

.- AI-Driven Smart Drying: Enhancing Efficiency in Transformer Production Systems.

.- The role of the ESP8266 sensor in IoT.

.- IoT Security and Privacy in Albania: Challenges and Strategies for Improvement.

.- The Role of Human Error in Cybersecurity Threats – Minimizing Risks in Information Systems.

.- Cyber Warfare and AI Agents: Strengthening National Security Against Advanced Persistent Threats (APTs).

.- Securing the Cloud with AI: How Multi-Agent Systems Detect and Prevent Cyber Threats.

.- Traffic Sign Recognition in Autonomous Vehicles Using Edge-Enabled Federated Learning.

.- Agentic AI-Driven Dynamic Resource Allocation in Cloud-Based Distributed Systems for Supply Chain Optimization.

.- Use of Multiple Reference Blocks for Reconstruction in Video Coding.

.- Enhancing Cloud Computing Security with Blockchain: A Decentralized Approach to Data Integrity, Access Control, and Compliance.

.- Improving IIoT Anomaly Detection Precision via XAI-Guided Feature Engineering and LSTM Tuning on Imbalanced Data Under Resource Constraints.

.- Integrating Advanced Algorithms and Machine Learning for Cybercrime Investigations.

.- Harnessing Cloud-Based Blockchain Technology for Secure and Scalable Digital Identity Management.

.- Balancing Native and Cross-Platform: A Comparative Analysis of Kotlin, Java, and React Native.

.- Agentic AI-Driven Cybersecurity for Cloud-Connected Automotive Systems.

.- Real-Time Vehicle Tracking System Based on YOLO and Stereo Vision.