{"product_id":"9783031935978","title":"Management of Digital EcoSystems : 16th International Conference, MEDES 2024, Naples, Italy, November 18-20, 2024, Proceedings (Communications in Computer and Information Science 2518) (2025. xii, 435 S. XII, 435 p. 116 illus. 235 mm)","description":"\u003cp\u003eThis book constitutes the proceedings of the 16th International Conference on Management of Digital EcoSystems, MEDES 2024, held in Naples, Italy, during November 2024. \u003c\/p\u003e\u003cp\u003eThe 23 full papers and 10 Short papers included in this book were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: Energy and Environment; Recommendation Systems; Social Networks and Emotion Recognition; Medical and Health Issues; Cybersecurity and Privacy; Data Mining Operations; Parallel and Distributed Systems; Network Aspects, and Applications.\u003c\/p\u003e \u003cp\u003e.- \u003cstrong\u003eEnergy and Environment\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- The Impact of COVID-19 and the Russo-Ukraine War on Natural Gas Flow Through Time Series Forecasting.\u003c\/p\u003e\u003cp\u003e.- Forecasting Energy Availability in Local Energy Communities via LSTM  Federated Learning.\u003c\/p\u003e\u003cp\u003e.- Green IT and Sustainable Practices of Local Authorities in France.\u003c\/p\u003e\u003cp\u003e.- Visual Analytics for Qualification Support of an Interpretable Machine Learning Application for Predictive Maintenance of Gas Turbine Blades.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eRecommendation Systems\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Enhancing Structural Minority Visibility in Link Recommendations.\u003c\/p\u003e\u003cp\u003e.- From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System.\u003c\/p\u003e\u003cp\u003e.- Personalized E-Learning Knowledge Graph-based Recommender System using Ensemble Attention Networks.\u003c\/p\u003e\u003cp\u003e.- Optimizing Recommender Systems through Enhanced User-Item Pair Exchanges.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eSocial Networks and Emotion Recognition\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Assessing Pre-trained Transformer Models for Textual Emotion Sensing In Continuous Space.\u003c\/p\u003e\u003cp\u003e.- Unlabeled Multimodal Datasets for Robust Emotion Recognition.\u003c\/p\u003e\u003cp\u003e.- Near: A Mobile Social Network for Finding Nearest Users with Privacy Preservation.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eMedical and Health Issues\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Hybrid Deep Learning Model for Predicting Mental Health States from Digital Media Content.\u003c\/p\u003e\u003cp\u003e.- Advanced Prostate MRI Analysis: UNET-based Models for Zonal and Lesion Segmentation.\u003c\/p\u003e\u003cp\u003e.- Data-Centric Security Model Based on Attribute-based Cryptography for Healthcare Systems.\u003c\/p\u003e\u003cp\u003e.- A Conversational Agent for Handling Health Report Inquiries.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eCybersecurity and Privacy\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- ELISAR: An Adaptive Framework for Cybersecurity Risk Assessment Powered by GenAI.\u003c\/p\u003e\u003cp\u003e.- Towards the Integration of Lightweight Components in Cyber-Physical Systems.\u003c\/p\u003e\u003cp\u003e.- A Distributed Multi-agent-based Deep Learning Model for Detecting DDoS.\u003c\/p\u003e\u003cp\u003e.- Evaluating Service-based Privacy-Protection for Augmented Reality Applications.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eData Mining Operations\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Boosting the Discovery of Interval Patterns using SAT.\u003c\/p\u003e\u003cp\u003e.- Classification on Multi-label Data with Ordered Labels.\u003c\/p\u003e\u003cp\u003e.- Exploring Clustering Improvement: A Comparative Study of Utilizing Metaheuristics and Initialization Strategies.\u003c\/p\u003e\u003cp\u003e.- Understanding Users Behavior in Food Delivery Applications: The EBAI Conceptual Model for Clickstream-Based Segmentation.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eParallel and Distributed Systems\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Federated Discovery on the Web of Things.\u003c\/p\u003e\u003cp\u003e.- Parallel Suffix Array Blocking for Efficient Entity Resolution based on Spark.\u003c\/p\u003e\u003cp\u003e.- Mars Button: Gamifying Asynchronous Communication for Enhanced User Engagement Across Digital Platforms.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eNetwork Aspects\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Enhancing UI Tests Robustness With Graph Convolutional Networks.\u003c\/p\u003e\u003cp\u003e.- Leveraging Large Language Models (LLMs) to Match Job Offers with Candidate CVs.\u003c\/p\u003e\u003cp\u003e.- The Dual Role of Subaerial Biofilms through the Lens of AI: the case for Causal Networks and Targeted Learning.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eApplications\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Whose Smartphone? Pairing Each Individual in the Panoramic Video with their Respective Smartphone.\u003c\/p\u003e\u003cp\u003e.- Clustering and Association Rules Mining for Coral Reef Fish Distribution: A Data-Driven Approach in the Mediterranean Sea.\u003c\/p\u003e\u003cp\u003e.- Modeling Government Business Ecosystems with Ecosystem Governance Compass.\u003c\/p\u003e\u003cp\u003e.- Stylometric Features Embedding for the Task of Author Attribution.\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":49240047878371,"sku":"00000_00000_00000_00000","price":99.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0764\/3758\/6147\/files\/9783031935978-1.jpg?v=1788427642","url":"https:\/\/usa.kinokuniya.com\/products\/9783031935978","provider":"Books Kinokuniya USA","version":"1.0","type":"link"}