ICT Innovations 2020. Machine Learning and Applications
12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24¿26, 2020, Proceedings
Herausgegeben:Dimitrova, Vesna; Dimitrovski, Ivica
ICT Innovations 2020. Machine Learning and Applications
12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24¿26, 2020, Proceedings
Herausgegeben:Dimitrova, Vesna; Dimitrovski, Ivica
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This book constitutes the refereed proceedings of the 12th International ICT Innovations Conference, ICT Innovations 2020, held in Skopje, North Macedonia, in September 2020. The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.
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This book constitutes the refereed proceedings of the 12th International ICT Innovations Conference, ICT Innovations 2020, held in Skopje, North Macedonia, in September 2020.
The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.
The 12 full papers and 6 short papers presented were carefully reviewed and selected from 60 submissions. The focal point of the volume is machine learning and applications in spheres of business, science and technology.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 1316
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-62097-4
- 1st ed. 2020
- Seitenzahl: 252
- Erscheinungstermin: 30. Oktober 2020
- Englisch
- Abmessung: 235mm x 155mm x 14mm
- Gewicht: 388g
- ISBN-13: 9783030620974
- ISBN-10: 3030620972
- Artikelnr.: 60145416
- Communications in Computer and Information Science 1316
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-62097-4
- 1st ed. 2020
- Seitenzahl: 252
- Erscheinungstermin: 30. Oktober 2020
- Englisch
- Abmessung: 235mm x 155mm x 14mm
- Gewicht: 388g
- ISBN-13: 9783030620974
- ISBN-10: 3030620972
- Artikelnr.: 60145416
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.