Intelligent Computing Systems

Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings

AvCarlos Brito-Loeza,Arturo Espinosa-Romero

Häftad, Engelska, 2020

Del 1187 i serien Communications in Computer and Information Science

534 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the proceedings of the Third International Symposium on Intelligent Computing Systems, ISICS 2020, held in Sharjah, United Arab Emirates, in March 2020. The 13 full papers presented in this volume were carefully reviewed and selected from 46 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.

Produktinformation

Utgivningsdatum:2020-03-11
Mått:155 x 235 x 10 mm
Vikt:260 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:151
Förlag:Springer Nature Switzerland AG
ISBN:9783030433635

Utforska kategorier

Innehållsförteckning

An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition.- Breast Cancer Detection and Localization using MobileNet based Transfer Learning for Mammograms.- U-Net based Glioblastoma Segmentation with Patient’s Overall Survival Prediction.- MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices.- Analysis of Frameworks for Traffic Agent Simulations.- Blockchain-based Authentication Approach for Securing Transportation System.- A classification model for modeling online articles.- A Novel Feature Extraction Model to Enhance Underwater Image Classification.- A Comprehensive Analysis of MRI Based Brain Tumor Segmentation using Conventional and Deep Learning Methods.- Sentiment Analysis on Predicting Presidential Election: Twitter Used Case.- Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation.- Segmentation of Echocardiographic Images in Murine Model of Chagas Disease.- Lung Cancer patient’s survival Prediction Using GRNN-CP.