ICT Innovations 2020 : machine learning and applications : 12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24-26, 2020 : proceedings / Vesna Dimitrova, Ivica Dimitrovski (eds.)

Temperature dependent initial chemical conditions for WRF-Chem air pollution simulation model -- Smart City Air Pollution Monitoring and Prediction: A Case Study of Skopje -- Cloud Based Personal Health Records Data Exchange in the Age of IoT: The Cross4all Project -- Time series anomaly detection with Variational AutoEncoder using mahalanobis distance -- Towards cleaner environments by automated garbage detection in images -- Fine -- grained image classification using transfer learning and context encoding -- Machine Learning and Natural Language Processing: Review of Models and Optimization Problems -- Improving NER Performance by Applying Text Summarization on Pharmaceutical Articles -- Case Study: Predicting Students Objectivity in Self-Evaluation Responses using BertSingle-Label and Multi-Label Fine-Tuned Deep-Learning Models -- Fat Tree Algebraic Formal Modelling applied to Fog Computing -- A Circuit for Flushing Instructions from Reservation Stations -- Parallel programming strategies for computing Walsh spectra of Boolean functions -- Pipelined Serial Register Renaming -- Fast Decoding with Cryptcodes for Burst Errors -- Cybersecurity Platforms Assessment -- Real-Time Monitoring and Assessing Open Government Data: A case study of the Western Balkan Countries -- Analysis of digitalization in healthcare: case study -- Correlating Glucose Regulation with Lipid Profile..

Temperature dependent initial chemical conditions for WRF-Chem air pollution simulation model -- Smart City Air Pollution Monitoring and Prediction: A Case Study of Skopje -- Cloud Based Personal Health Records Data Exchange in the Age of IoT: The Cross4all Project -- Time series anomaly detection with Variational AutoEncoder using mahalanobis distance -- Towards cleaner environments by automated garbage detection in images -- Fine -- grained image classification using transfer learning and context encoding -- Machine Learning and Natural Language Processing: Review of Models and Optimization Problems -- Improving NER Performance by Applying Text Summarization on Pharmaceutical Articles -- Case Study: Predicting Students Objectivity in Self-Evaluation Responses using BertSingle-Label and Multi-Label Fine-Tuned Deep-Learning Models -- Fat Tree Algebraic Formal Modelling applied to Fog Computing -- A Circuit for Flushing Instructions from Reservation Stations -- Parallel programming strategies for computing Walsh spectra of Boolean functions -- Pipelined Serial Register Renaming -- Fast Decoding with Cryptcodes for Burst Errors -- Cybersecurity Platforms Assessment -- Real-Time Monitoring and Assessing Open Government Data: A case study of the Western Balkan Countries -- Analysis of digitalization in healthcare: case study -- Correlating Glucose Regulation with Lipid Profile.

Medienart:	Buch

Erscheinungsjahr:	[2020]
Erschienen:	Cham, Switzerland: Springer ; 2020

Reihe:	Communications in computer and information science - 1316

Sprache:	Englisch

Congresses:	ICT Innovations ; 12. ; Skopje ; 2020 ICT Innovations Conference ; Skopje ; 2020.09.24-26 ICT Innovations Conference ; Online ; 2020.09.24-26

Links:	Inhaltsverzeichnis

ISBN:	978-3-030-62097-4 3-030-62097-2

BKL:	54.64 / Datenbanken
Themen:	Conference papers and proceedings Konferenzschrift Machine learning Maschinelles Lernen

Anmerkungen:	"... was held online ..." - Preface Includes bibliographical references and author index

Umfang:	xx, 227 pages ; illustrations (black and white) ; 24 cm

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1750004437