The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5-7, 2023
by
 
Hassanien, Aboul Ella. editor. (orcid)0000-0002-9989-6681

Title
The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5-7, 2023

Author
Hassanien, Aboul Ella. editor. (orcid)0000-0002-9989-6681

ISBN
9783031277627

Edition
1st ed. 2023.

Physical Description
XX, 607 p. 253 illus., 202 illus. in color. online resource.

Series
Lecture Notes on Data Engineering and Communications Technologies, 164

Contents
Convolutional Sparse Autoencoder for Emotion Recognition -- Lung Cancer Classification Model Using Convolution Neural Network -- An Enhanced Deep learning Approach for Breast Cancer Detection In Histopathology Images -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Skin Cancer Detection Based on Deep Learning Methods -- Predicted Phase Using Deep Neural Networks to Enhance Esophageal Speech -- State of the Art Literature on Anti-Money Laundering using Machine Learning and Deep Learning Techniques -- The Reality of Artificial Intelligence Skills Among Eighth-Grade Students in Public Schools -- A Deep Neural Network Architecture for Extracting Contextual Information -- Feedforward Neural Network in Cancer Treatment Response Prediction -- A Genetic Algorithm Approach Applied to the Cover set Scheduling Problem for Maximizing Wireless Sensor Networks Lifetime -- Application of Machine Learning to Sentiment Analysis -- Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine.

Subject Term
Computational intelligence.
 
Engineering -- Data processing.
 
Artificial intelligence.
 
Data Engineering.

Added Author
Hassanien, Aboul Ella.
 
Haqiq, Abdelkrim.
 
Azar, Ahmad Taher.
 
Santosh, KC.
 
Jabbar, M. A.
 
Słowik, Adam.
 
Subashini, Parthasarathy.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-27762-7


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book527400-1001ONLINEElektronik Kütüphane