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Intelligent Systems Design and Applications

Deep Learning, Volume 2
BuchKartoniert, Paperback
497 Seiten
Englisch
Springererschienen am25.07.20242024
This book highlights recent research on intelligent systems and nature-inspired computing. 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.mehr
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BuchKartoniert, Paperback
EUR160,49
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BuchKartoniert, Paperback
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BuchKartoniert, Paperback
EUR267,49
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BuchKartoniert, Paperback
EUR267,49
BuchKartoniert, Paperback
EUR213,99
E-BookPDF1 - PDF WatermarkE-Book
EUR192,59

Produkt

KlappentextThis book highlights recent research on intelligent systems and nature-inspired computing. 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.
Details
ISBN/GTIN978-3-031-64835-9
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum25.07.2024
Auflage2024
ReiheLecture Notes in Networks and Systems
Seiten497 Seiten
SpracheEnglisch
Gewicht774 g
IllustrationenXVII, 497 p. 240 illus., 180 illus. in color.
Artikel-Nr.56438584

Inhalt/Kritik

Inhaltsverzeichnis
Deep Learning Approach for Autonomous Spacecraft Landing.- Deep Learning Approach for Flood Mapping Using Satellite Images Dataset.- Large Language Models for Named Entity Recognition NER of Skills in Job Postings in German.- Machine Learning Approaches for Investing Strategies in Stock Market.- OP FedELM One pass Privacy-preserving Federated Classification via Evolving Clustering Method and Extreme Learning Machine hybrid.- Gamma Corrected Pyramid Pix2pix - Breast Cancer HE to IHC Image Generation.- Unveiling Deepfakes Customized Convolutional Neural Networks for Detection.- The Nasdaq Composite Index Prediction Using LSTM and Bi LSTM Multivariate Deep Learning Approaches.- PlastOcean Detecting Floating Marine Macro Litter FMML using Deep Learning Models.- Data Augmentation Using Generative Neural Networks Based on Fourier Feature Mapping.- Delay Risk Detection in Road Construction Projects Utilizing Large Language Model.- Unlocking The Potential of Novel LSTM in Airline Recommendation Prediction.- Pylung a supporting tool for comparative study of ViT and CNN based models used for lung nodules classification.- Deep Learning model for predicting rice plant disease identification and classification for improving the yield.mehr

Autor