Del 1046 i serien Lecture Notes in Networks and Systems

Intelligent Systems Design and Applications

Smart Healthcare, Volume 1

Häftad, Engelska, 2024

AvAjith Abraham,Anu Bajaj,Thomas Hanne,Patrick Siarry

2 889 kr

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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.

Produktinformation

Utgivningsdatum2024-07-24
Mått155 x 235 x 28 mm
Vikt768 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Networks and Systems
Antal sidor493
FörlagSpringer International Publishing AG
ISBN9783031648120

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Samhällsmedicin och preventiv medicin inom Medicin
Artificiell intelligens inom Data och IT

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.