ICITA 2023 Ullah, Abrar. editor. edt http://id.loc.gov/vocabulary/relators/edt Anwar, Sajid. editor. edt http://id.loc.gov/vocabulary/relators/edt Calandra, Davide. editor. edt http://id.loc.gov/vocabulary/relators/edt Di Fuccio, Raffaele. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXVII, 630 p. 194 illus., 157 illus. in color. online resource. This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering. 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering. edited by Abrar Ullah, Sajid Anwar, Davide Calandra, Raffaele Di Fuccio. Computational intelligence Artificial intelligence Telecommunication Quantitative research Computational Intelligence Artificial Intelligence Communications Engineering, Networks Data Analysis and Big Data Q342 9789819983247 https://doi.org/10.1007/978-981-99-8324-7 https://doi.org/10.1007/978-981-99-8324-7 240317 20251030111724.0 978-981-99-8324-7