Advances in Model and Data Engineering in the Digitalization Era
Springer International Publishing (Verlag)
978-3-031-55728-6 (ISBN)
The 12 short papers presented were selected from the total of 99 submissions. This volume also contains the 7 accepted papers from the DEITS 2023 workshop, held at MEDI 2023. The volume focuses on machine learning and optimization; natural language processing; modeling and data management; healthcare applications; data engineering in IoT systems.
Machine Learning and Optimization.- Scoring Unstructured Data from Online Social Network for Homeland Security Applications.- A Comparative Analysis of Time Series Transformers and Alternative Deep Learning Models for SSVEP Classification.- MixUp Data Augmentation for Handwritten Arabic Mathematical Symbols Recognition.- Natural Language Processing.- Towards an Open Domain Arabic Question Answering System: Assessment of the Bert Approach.- Multi-lingual scene text detection containing the Arabic scripts using an optimal then enhanced YOLO model.- Transfer Learning Model for Cyberbullying Detection in Tunisian Social Networks.- Modeling and Data Management.- Node2Vec stability: preliminary study to ensure the compatibility of embeddings with incremental data alignment.- Towards Enabling Domain-Specific Modeling Language Exchange between Modeling Tools.- Healthcare Applications.- The Power of Prognosis: Cox Model Prediction of Disease-Free Survival in Colon Cancer.- Transfer Learning in Segmenting Myocardium Perfusion Images.- Smart Saliency Detection For Prosthetic Vision.- Automatic Detection of Multiple Sclerosis Using Genomic Expression.- DEITS Worshop: Data Engineering in IoT Systems.- Distributed and Collaborative Learning Approach for Stroke Prediction.- IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Techniques.- How Does Blockchain Enhance Zero Trust Security in IoMT.- HIPAA and GDPR compliance in IoT healthcare systems.- A Secure IoT Architecture for Industry 4.0.- Fromfunctional requirements to NoSQL database models: application to IoT Geospatial Data.- A survey on intrusion detection systems for IoT networks based on long short-term memory.
Erscheinungsdatum | 23.03.2024 |
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Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | XII, 252 p. 94 illus., 70 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
Schlagworte | Artificial Intelligence • Computer Hardware • Computer Networks • computer programming • computer vision • Data Security • Formal Logic • graph theory • Human-Computer Interaction (HCI) • machine learning • Network Protocols • Petri Nets • Signal Processing • software architecture • Software Design • Software engineering • Telecommunication Systems • theoretical computer science • User Interfaces |
ISBN-10 | 3-031-55728-X / 303155728X |
ISBN-13 | 978-3-031-55728-6 / 9783031557286 |
Zustand | Neuware |
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