Custom cover image
Custom cover image

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 / Klodian Dhoska, Evjola Spaho, editors

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in computer and information science ; 2669Publisher: Cham : Springer, [2026]Copyright date: © 2026Description: 1 Online-Ressource (xxxii, 729 Seiten)ISBN:
  • 9783032073730
Subject(s): Genre/Form: Additional physical formats: 9783032073723 | 9783032073747 | Erscheint auch als: AI and digital transformation: opportunities, challenges, and emerging threats in technology, business, and security ; Part 1. Druck-Ausgabe Cham : Springer, 2026. xxxii, 729 SeitenDDC classification:
  • 005.3 23
DOI: DOI: 10.1007/978-3-032-07373-0Online resources: Summary: -- 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.Summary: 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.PPN: PPN: 1939576474Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS
No physical items for this record

Barrierefreier Inhalt: PDF/UA-1. Table of contents navigation. Single logical reading order. Short alternative textual descriptions. Use of color is not sole means of conveying information. Use of high contrast between text and background color. Next / Previous structural navigation. All non-decorative content supports reading without sight

Anmerkungen zur Barrierefreiheit: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. 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. Please note that a more accessible version of this eBook is available as ePub.. No reading system accessibility options actively disabled. Publisher contact for further accessibility information: accessibilitysupport@springernature.com

KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT