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

AvKlodian Dhoska,Evjola Spaho

Häftad, Engelska, 2025

Del 2669 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-10-23
Mått:155 x 235 x 41 mm
Vikt:1 136 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:729
Förlag:Springer Nature Switzerland AG
ISBN:9783032073723

Utforska kategorier

Tillämpad datateknik inom Data och IT
IT-säkerhet inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.