Machine Learning Perspective Sattam Almatarneh

Dept. Data Science and AI Zarqa UniversityZarqa,Jordan

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived DD Month YYYY; accepted DD Month YYYYhttps://doi

Pattern Recognition in Islamic Architecture: Machine Learning Perspective

Sattam Almatarneh,Noura Qazza,Ahmad Al Smadi

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived January 05 #2025; accepted March 15 #2025https://doi

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

ARCNet: A Novel Deep Learning Model for Robust Solid Waste Image Classification in Waste Management Systems

Velmurugan Lingamuthu,Devaraju Sellappan,Sakthivel Balu,Sheik Mohammed Abdul Raghabu,Aanjankumar Sureshkumar,Prabu Kanna Govindarajan

#Solid waste management #classification #ARCNet #global context attention module

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

ARCNet: A Novel Deep Learning Model for Robust Solid Waste Image Classification in Waste Management Systems

Velmurugan Lingamuthu,Devaraju Sellappan,Sakthivel Balu,Sheik Mohammed Abdul Raghabu,Aanjankumar Sureshkumar,Prabu Kanna Govindarajan

#Solid waste management #classification #ARCNet #global context attention module

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Perception of Natural Scenes: Objects Detection and Segmentations using Saliency Map with AlexNet

Muhammad Waqas Ahmed,Abdulwahab Alazeb,Naif Al Mudawi,Touseef Sadiq,Bayan Alabdullah,Hameed ur Rahman,Asaad Algarni,Ahmad Jalal

#Pattern recognition #alexNet #fish swarm algorithm #object detection

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

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