132 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Charles Sturt UniversityAU6 papers
- University of Kurdistan HewlerIQ6 papers
- Western Sydney UniversityAU6 papers
- University of BaghdadIQ3 papers
- Asia Pacific International UniversityTH2 papers
- Al-Nisour University CollegeIQ1 paper
- Columbia UniversityUS1 paper
- COMSATS University IslamabadPK1 paper
- Hankyong National UniversityKR1 paper
- Hanoi University of Science and TechnologyVN1 paper
- Iraq University CollegeIQ1 paper
- Islamic University of NajafIQ1 paper
12 papers
A survey of facial recognition techniques
Aya Kaysan Bahjat
As multimedia content is quickly growing, the field of facial recognition has become one of the major research fields, particularly in the recent years. The most problematic area t…
Text images processing system using artificial intelligence models
Aya Kaysan Bahjat
This is to present a text image classifier device that identifies textual content in images and then categorizes each image into one of four predefined categories, including Invoic…
Automated document processing system for government agencies using DBNET++ and BART models
Aya Kaysan Bahjat
An automatic document classification system is presented that detects textual content in images and classifies documents into four predefined categories (Invoice, Report, Letter, a…
Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning
Mustafa M. Abd Zaid, Ahmed Abed Mohammed, Putra Sumari
Satellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual metho…
Reconfigurable Intelligent Surface for Physical Layer Security in 6G-IoT: Designs, Issues, and Advances
Waqas Khalid, M. Atif Ur Rehman, Trinh Van Chien +3
Sixth-generation (6G) networks pose substantial security risks because confidential information is transmitted over wireless channels with a broadcast nature, and various attack ve…
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network
Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this…
A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes
Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the…
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function
Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad +4
Background and Purpose: Convolutional neural network is widely used for image recognition in the medical area at nowadays. However, overall accuracy in predicting lung tumor is low…
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices
Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad +3
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learni…
Deep Learning Neural Networks for Emotion Classification from Text: Enhanced Leaky Rectified Linear Unit Activation and Weighted Loss
Hui Yang, Abeer Alsadoon, P. W. C. Prasad +4
Accurate emotion classification for online reviews is vital for business organizations to gain deeper insights into markets. Although deep learning has been successfully implemente…
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function
Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad +5
Background and Aim: Recently, deep learning using convolutional neural network has been used successfully to classify the images of breast cells accurately. However, the accuracy o…
Correlated Random Measures
Rajesh Ranganath, David Blei
We develop correlated random measures, random measures where the atom weights can exhibit a flexible pattern of dependence, and use them to develop powerful hierarchical Bayesian n…