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Intelligent Systems Design and Applications: Machine Learning Solutions, Volume 7 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 493 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 52 Illustrations, black and white; XVII, 493 p. 209 illus., 157 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1052
  • Ilmumisaeg: 23-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031647750
  • ISBN-13: 9783031647758
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Intelligent Systems Design and Applications: Machine Learning Solutions, Volume 7 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 493 pages, kõrgus x laius: 235x155 mm, 157 Illustrations, color; 52 Illustrations, black and white; XVII, 493 p. 209 illus., 157 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1052
  • Ilmumisaeg: 23-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031647750
  • ISBN-13: 9783031647758
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031647758.html
Märksõnad:

This book highlights recent research on intelligent systems and machine learning based solutions. It presents 46 selected papers focused on Industrial Applications from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all industrial specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and industrial applications.

Comparative Study of Image Compression Methods using Artificial Neural
Networks based on Semi Log Quantization.- Granular Clustering for Maritime
Situation Awareness.- Hybrid Approach for medical decision-making:
Integrating ResNet Darknet19 based Transfer Learning with Radiomics Features
for COVID 19 classification.- Hate speech recognition using Deep Learning.-
Classification of Cardiac Arrhythmia using Machine Learning Algorithms.-
Exploring Machine Learning Approaches for Precipitation Prediction Post
Processing of Daily Accumulated North American Forecasts.- Deep Learning
Based Classification of Conference Paper Reviews  Accept or Reject.- A Layout
Independent Deep Learning Framework for Recognition of Courtesy Amount in
Bank Cheque Image.- Convolutional Neural Network CNN classifiers used in Land
Use Land Cover Monitoring and Classification A review.- Classification of
Obesity Level using Deep neural Networks.- Analysis of Deepfake Attacks and
Detection Techniques in Smart City Applications.- Deep-Net Brain Lesion
Segmentation with 3D CNN and Residual Connections.- A Bimodal Autism Spectrum
Disorder Detection using fMRI Images.