Ban N. Dhannoon (0000-0002-8474-5565)

Personal information

Biography

Ban N. Dhannoon received a BSc in computer science from Baghdad University, an MSc in computer science from Al-Nahrain University, and a PhD in Artificial intelligence from the University of Technology. She held several administrative posts with the college of science / Al-Nahrain University since 2007, including the Assistant Dean of Scientific Affairs from (2007-2014), and the Head of the Computer Science Department (2016-2020). She is a Professor at the Department of Computer Science. She has supervised and co-supervised more than 42 masters and 5 PhD students. She has authored or co-authored over 50 publications. Her research interests include machine learning and deep learning, Image processing, and natural language processing. Contacted email: ban.n.dhannoon@nahrainuniv.edu.iq.

Activities

Collapse all

Al-Nahrain University / College of Science: Baghdad, IQ

2013-11-10 to present | Professor (Computer Science)

Employment

Ban N. Dhannoon

https://orcid.org/0000-0002-8474-5565

Personal information

Other IDs

Countries

Biography

Activities

Employment (2)

Al-Nahrain University / College of Science: Baghdad, IQ

Al-Nahrain University/ College of Science: Baghdad, IQ

Education and qualifications (3)

University of Technology: Baghdad, IQ

Al-Nahrain University/ college of Science: Baghdad, IQ

University of Baghdad/ college of science: Baghdad, Baghdad, IQ

Works (50 of 66)

Deep Learning based Models for Drug-Target Interactions,نماذج التعلم العميق للتفاعلات بين الأدوية والبروتينات

Detailed Cloud Linear Regression Services in Cloud Computing Environment

Predicting Covid-19 Protein Interactions Through Sequence Alignment

A Novel Deep Learning Model for Drug-drug Interactions

Comprehensive Review on Drug-target Interaction Prediction - Latest Developments and Overview.

A Review of the Past Decade's Research Outcomes on Classifying Cyberbullying

Word embedding for detecting cyberbullying based on recurrent neural networks

An Effective Hybrid Deep Neural Network for Arabic Fake News Detection

Arabic Cyberbullying Detection Using Support Vector Machine with Cuckoo Search,كشف التنمر الإلكتروني في اللغة العربية باستعمال ألة المتجهات الداعمة مع بحث الوقوا ق

Attention Mechanism Based on a Pre-trained Model for Improving Arabic Fake News Predictions,آلة الانتباه بالاعتماد على النماذج المدربة مسبقا لتحسين تنبؤات الاخبار العربية المزيفة

Comparing the Random Forest vs. Extreme Gradient Boosting using Cuckoo Search Optimizer for Detecting Arabic Cyberbullying

Content-Based Image Retrieval System using Color Moment and Bag of Visual Words with Local Binary Pattern

Detailed Cloud Linear Regression Services in Cloud Computing Environment

Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network

Finding Drug-Drug Interactions for SARS-CoV-2 Proteins in Drugs Repurposing Application

Hybrid Recommender System Based on Matrix Factorization

Machine Learning Approaches to Detect Online Harassment using Bag of Words

Enhancement of Cloud Computing Environment Using Machine Learning Algorithms MLCE

Finding Drug-Drug Interactions for SARS-CoV-2 Proteins in Drugs Repurposing Application

Content-based image retrieval based on corel dataset using deep learning

Arabic text steganography using lunar and solar diacritics

Automating Drug Discovery using Machine Learning

Developed Models Based on Transfer Learning for Improving Fake News Predictions

CLR: Cloud Linear Regression Environment as a More Effective Resource-Task Scheduling Environment (State-of-the-Art)

Gait Recognition Based on Deep Learning

Improving Prediction of Arabic Fake News Using Fuzzy Logic and Modified Random Forest Model

MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation

Skin Lesion Segmentation Based on U-shaped Network

Image and audio steganography based on indirect LSB

The Detection of Sexual Harassment and Chat Predators Using Artificial Neural Network

Weighted k-nearest neighbour for image spam classification

Modified Bag of Visual Words Model for Image Classification

Anomaly Detection Approach Based on Deep Neural Network and Dropout

Explicit feedback based movie recommendation system: A survey

Color Model Based Convolutional Neural Network for Image Spam Classification

Keynote Speaker: Information Technology against COVID-19

Deep neural network with dropout for anomaly detection in software defined networking

Predication and classification of cancer using sequence alignment and back propagation algorithms in Brca1 and Brca2 genes

Real time multi face blurring on uncontrolled environment based on color space algorithm

A feature selection approach using binary Firefly Algorithm for network intrusion detection system

Improving detection rate of the network intrusion detection system based on wrapper feature selection approach

Developing an End-to-End Secure Chat Application

In Silico Model for Lung Cancer Prediction Based on TP53 mutations Using Neural Network

Information hiding by using Developed M8PAM Technique

Integrated System of Information hiding by Applying Three levels

Fingerprint Recognition by Using Iterative Closest Point

In Silico Molecular Classification of Breast and Prostate Cancers using Back Propagation Neural Network‏

Classification for Intrusion Detection with Different Feature Selection Methods: A Survey (2014-2016(

Image Compression Based on Cubic Bezier Interpolation, Wavelet Transform, Polynomial Approximation, Quadtree Coding and High Order Shift Encoding

Multi Agents Classification System with Reliable Measure of Generalization