Classification Applications with Deep Learning and Machine Learning Technologies
by
Abualigah, Laith. editor.
Title
:
Classification Applications with Deep Learning and Machine Learning Technologies
Author
:
Abualigah, Laith. editor.
ISBN
:
9783031175763
Edition
:
1st ed. 2023.
Physical Description
:
VIII, 288 p. 235 illus., 201 illus. in color. online resource.
Series
:
Studies in Computational Intelligence, 1071
Contents
:
Artocarpus Classification Technique using Deep Learning based Convolutional Neural Network -- Rambutan Image Classification using Various Deep Learning Approaches -- Mango Varieties Classification-based Optimization with Transfer Learning and Deep Learning Approaches -- Salak Image Classification Method based Deep Learning Technique using Two Transfer Learning Models -- Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques -- Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus Integer and Artocarpus Heterophyllus -- Markisa/Passion Fruit Image Classification based Improved Deep Learning Approach using Transfer Learning -- Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data -- A Novel Big Data Classification Technique for Healthcare Application using Support Vector Machine, Random Forest and J48 -- Comparative Study on Arabic Text Classification: Challenges and Opportunities -- Pedestrian Speed Prediction Using Feed Forward Neural Network -- Arabic Text Classification using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect.
Subject Term
:
Computational intelligence.
Machine learning.
Big data.
Added Author
:
Abualigah, Laith.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 528680-1001 | ONLINE | | Elektronik Kütüphane |