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[null,"1.","Record Nr.",null,"UNISA996508669403316"]
[null,null,"Titolo",null,"Green, Pervasive, and Cloud Computing [[electronic resource] ] : 17th International Conference, GPC 2022, Chengdu, China, December 2–4, 2022, Proceedings / / edited by Chen Yu, Jiehan Zhou, Xianhua Song, Zeguang Lu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-26118-6"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (269 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 13744"]
[null,null,"Disciplina",null,"004.6782"]
[null,null,"Soggetti",null,"Computer networks"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Image processing—Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computer science—Mathematics"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Mathematics of Computing"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"SFYOLO: A Lightweight and Effective Network based on Space-friendly Aggregation Perception for Pear Detection -- Feature Fusion Expression Recognition Algorithm Based on DCA Dimensionality Reduction -- Decision Tree Fusion and Improved Fundus Image Classification Algorithm -- Construction Method of National Food Safety Standard Ontology -- Federated Learning-based Driving Strategies Optimization for Intelligent Connected Vehicles -- Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution -- Research on Sheep Counting Algorithm under Surveillance Video -- A Blockchain-Based Distributed Machine Learning Approach for Resource "]
[{"$nulls":4},"Allocation in Vehicular Ad-Hoc Networks -- Ranging of Confocal Endoscopy Probe Using Recognition and Optical Flow Algorithm -- Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notification -- CPSOCKS: Cross-platform Privacy Overlay Adapter based on SOCKSv5 protocol -- Nonlinear Optimization Method for PGC Demodulation of Interferometric Fiber-optic Hydrophone -- MixKd:Mix data Augmentation Guided Knowledge Distillation for Plant Leaf Disease Recognition -- Multiresolution Knowledge Distillation and Multi-level Fusion for Defect Detection -- A Novel Weighted-Distance Centralized Detection Method in Passive MIMO Radar -- Performer: A Resource Demand Forecasting Method for Data Centers -- Optimizing video QoE for eMBMS users in the Internet of Vehicles -- Huffman Tree based Multi-resolution Temporal Convolution Network for Electricity Time Series Prediction -- Deep Learning-based Autonomous Cow Detection for Smart Livestock Farming."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 17th International Conference on Green, Pervasive, and Cloud Computing, GPC 2022, held in Chengdu, China, in December 2022. The 19 full papers presented in this book were carefully reviewed and selected from 104 submissions. GPC 2022 shares novel ideas and experiences in the areas of Green, Pervasive, and Cloud Computing."]
[null,"2.","Record Nr.",null,"UNINA9910557674803321"]
[null,null,"Autore",null,"Scholz Roland W"]
[null,null,"Titolo",null,"DiDaT Weißbuch : Verantwortungsvoller Umgang mit digitalen Daten – Orientierungen eines transdisziplinären Prozesses"]
[null,null,"Pubbl/distr/stampa",null,"Baden-Baden, : Nomos Verlagsgesellschaft mbH & Co. KG, 2021"]
[null,null,"ISBN",null,"3-7489-2411-9"]
[null,null,"Descrizione fisica",null,"1 electronic resource (196 p.)"]
[null,null,"Soggetti",null,"KNT"]
[{"$nulls":4},"LNR"]
[{"$nulls":4},"JFD"]
[{"$nulls":4},"JFM"]
[{"$nulls":4},"LNQD"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Digitalisation is leading to a fundamental change in all areas of life. This has advantages, but also undesirable side effects. The project \"DiDaT - Digital Data as the Subject of a Transdisciplinary Process\" deals with unintended side effects or \"unseens\" of the digital transformation. In this transdisciplinary process, more than 150 experts from science and practice have developed examples for the areas of\n- mobility,\n- health,\n- agriculture,\n- the future of small and medium-sized enterprises (SMEs) and the\n- use of social media\nidentified relevant undesirable consequences of the use of digital data and developed socially robust orientations for dealing with them. The results of DiDaT are summarised in this white paper."]
[{"$nulls":4},"Zusammenfassung\nDie Digitalisierung führt zu einem grundlegenden Wandel aller Lebensbereiche. Das hat Vorteile, aber auch unerwünschte Nebenwirkungen. Mit unbeabsichtigten Nebenwirkungen oder „Unseens“ der digitalen Transformation beschäftigt sich das Projekt „DiDaT – Digitale Daten als Gegenstand eines transdisziplinären Prozesses“. In "]
[{"$nulls":4},"diesem transdisziplinären Prozess haben über 150 Fachleute aus Wissenschaft und Praxis exemplarisch für die Bereiche\n- Mobilität,\n- Gesundheit,\n- Landwirtschaft,\n- Zukunft kleiner und mittlerer Unternehmen (KMU) sowie\n- Nutzung Sozialer Medien\nrelevante unerwünschte Folgen der Nutzung digitaler Daten identifiziert und sozial robuste Orientierungen für den Umgang damit entwickelt. Die Ergebnisse von DiDaT sind in diesem Weißbuch zusammengefasst."]