Ict Innovations 2020. Machine Learning and Applications by Ivica Dimitrovski
Ict Innovations 2020. Machine Learning and Applications

Ict Innovations 2020. Machine Learning and Applications


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About the Book

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.


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Product Details
  • ISBN-13: 9783030620974
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 229
  • Series Title: Communications in Computer and Information Science
  • Sub Title: 12th International Conference, Ict Innovations 2020, Skopje, North Macedonia, September 24-26, 2020, Proceedings
  • Width: 156 mm
  • ISBN-10: 3030620972
  • Publisher Date: 30 Oct 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Spine Width: 13 mm
  • Weight: 408 gr


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Ict Innovations 2020. Machine Learning and Applications
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