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Intelligent Systems Design and Applications

Smart Healthcare, Volume 1
BuchKartoniert, Paperback
493 Seiten
Englisch
Springererschienen am24.07.20242024
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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EUR213,99
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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/GTIN978-3-031-64812-0
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum24.07.2024
Auflage2024
ReiheLecture Notes in Networks and Systems
Seiten493 Seiten
SpracheEnglisch
Gewicht768 g
IllustrationenXVII, 493 p. 214 illus., 183 illus. in color.
Artikel-Nr.56438358

Inhalt/Kritik

Inhaltsverzeichnis
Identifying Lung Cancer from CT Scan Images with VGG16 Convolutional Neural Net.- Cause and Effect of Dementia on Women in Technological Environment.- Machine Learning Techniques for Pancreatic Cancer Detection.- Integrating Artificial Intelligence and Data Analytics for Enhanced Healthcare Management Innovations and Challenges.- An Intelligent model for post covid hearing loss.- Generalized Skin Cancer Image Classification Performance using Xception Model.- Analysis of Magnetic Resonance Imaging for Parkinsons Disease.- Study on Health Issue Identification Using Deep Learning and Convolutional Neural Networks.- Early stage Lung Cancer Prediction A machine Learning Approach.- Convolutional Neural Network Based Brain Tumor Segmentation using Detectron.- Deep Learning based Histopathological Analysis for Colon Cancer Diagnosis A Comparative Study of CNN and Transformer Models with Image Preprocessing Techniques.- Detecting Parkinsons Disease at an Early Stage through Machine Learning Analysis of Brain MRI Images.- Early Stage Cervical Cancer Detection via Ensemble Learning and Image Feature Integration.- Comprehensive Comparative Analysis of Breast Cancer Forecasting Using Machine Learning Algorithms and Feature Selection Methods.mehr

Autor