Pattern Recognition in Islamic Architecture: Machine Learning Perspective

Sattam Almatarneh,Noura Qazza,Ahmad Al Smadi

#Islamic architecture #deep learning #machine learning classifiers #HOG #LBP #CNNs #image classification

Adversarially-Resilient Deep Learning Framework for Detecting Evasive Cyber Threats in Network Traffic

Nasser Alsharif

#adversarial #deep Learning #IDS #network traffic #cyber threats

Ugur Talas,Burakhan Cubukcu,Ugur Yuzgec

#Artificial intelligence #image classification #constrained #convolutional neural network #hyperparameter #deep learning

David Calderon-Vilca,Kent Cuadros-Ramos,Sergio Valcarcel-Ascencios,Igor Aguilar-Alonso

#Image processing #LSTM #patterns of violence #violence detection #xception

Shefa Dawwd

#Standard convolution #depthwise separable convolution #inference #deep convolutional neural networks #FPGA

Hayel Khafajeh

#Cyberbullying detection #deep learning #social networks #convolutional neural networks #long short-term memory #bidirectional encoder representations from transformers

Lilibeth Coronel,Arnel Fajardo,Ruji Medina

#Pooling technique #classification #convolutional neural network #feature extraction #genomic sequence

Shujuan Wang,Haofu Guan,Yuqing Wang,Kanghui Zhang,Yuntao Dai,Shouxu Qiao,Jihong Shen

#Optical image #gas-liquid two-phase flow #machine vision #FCN #U-Net

Abstract: Laws are often developed in a piecemeal approach and many provisions of similar nature are often found in

#Deep learning # neural networks # classification # legislations