ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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Empowering Ovarian Cancer Subtype Classification with Parallel Swin Transformers and WSI Imaging
Lubna ALkahla,Jwan Saeed,Maher Hussein
#Ovarian cancer
#Swin-transformer
#sub-type classification
#histology image analysis
Muzzle Classification Using Neural Networks
Ibrahim El-Henawy, Hazem El-bakry, and Hagar El-Hadad
#Muzzle classification
#image processing
#neural networks
A Comparative Study of Different Pre-Trained Deep Learning Models and Custom CNN for Pancreatic Tumor Detection
Muhammed Talha Zavalsız,Sleiman Alhajj,Kashfia Sailunaz,Tansel Ozyer,Reda Alhajj
#Deep learning
#medical image
#pancreatic tumor detection
#convolutional neural networks
#pancreatic ductal adenocarcinoma
A Topic-Specific Web Crawler using Deep Convolutional Networks
Saed ALqaraleh,Hatice Meltem Nergız Sırın
#CNN
#natural language processing
#text classification
#topic specific crawler
#focused crawler
#web crawling
A Novel Age Classification Method Using Morph- Based Models
Asuman Günay Yılmaz1 and Vasif Nabiyev2
#Age classification
# image morphing
# local binary patterns
# borda count voting
A Novel Method for Gender and Age Detection Based on EEG Brain Signals
Haitham Issa1, Sali Issa2, and Wahab Shah3
#EEG
# Gender
# Age
# CWT
# CNN
Malaria Parasite Detection on Microscopic Blood Smear Images with Integrated Deep Learning Algorithms
Christonson Berin Jones,Chakravarthi Murugamani
#Blood smear images
#image classification
#image processing
#malaria
#plasmodium parasite
Automated Classification of Whole-Body SPECT Bone Scan Images with VGG-Based Deep Networks
Qiang Lin,Zhengxing Man,Yongchun Cao,Haijun Wang
#Image classification
#nuclear medicine
#SPECT imaging
#deep learning
#VGG 16
Transfer Learning for Feature Dimensionality Reduction
Nikhila Thribhuvan, Sudheep Elayidom,
#Dimensionality reduction
# fine-tuning
# transfer learning
# VGG-16
# VGG-19
Ensemble based on Accuracy and Diversity Weighting for Evolving Data Streams
Yange Sun,Han Shao,Bencai Zhang
#Ensemble learning
#concept drift
#accuracy
#diversity
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