WALEED SALEH H ALBATTAH - Qassim Un...

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Faculty members

WALEED SALEH H ALBATTAH

Full Professor

College of Computer

Department of Information Technology

Personal data

Scientific qualifications

phd in computer science | kent state university | united state of america

Research interests

Software engineering
Machine Learning

Published research

A Deep Learning Approach for Anomaly Detection in Large-Scale Hajj Crowds (2023-11-01)
A novel deep learning method for detection and classification of plant diseases (2021-09-28)
A deep learning method DCWR with HANet for stock market prediction using news articles (2022-02-08)
Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification (2022-08-25)
Crime Type Prediction in Saudi Arabia Based on Intelligence Gathering (2022-04-23)
Crowd Counting and Localization Beyond Density Maps (2022-01-01)
Hybridized YOLOv4 for Detecting and Counting People in Congested Crowds (2022-01-01)
Software Package Testability Prediction Using Object-Oriented Cohesion Metrics (2022-01-01)
Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems (2021-01-01)
A Deep Learning Approach for Crowd Counting in Highly Congested Scenes (2022-01-01)
Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network (2022-06-09)
Crowd Monitoring and Localization Using Deep Convolutional Neural Networks: A Review (2020-07-01)
Feature Selection Techniques for Big Data Analytics (2022-10-01)
Taxonomy of Anomaly Detection Techniques in Crowd Scenes (2022-08-01)
Visual intelligence for efficient human action recognition in human-computer interaction applications (2026-03-05)
Using indirect coupling metrics to predict package maintainability and testability (2016-11-01)
Secure Defensive Mechanisms: An Appropriate Categorization (2015-01-01)
Package Cohesion Classification (2014-01-01)
Instability and Abstractness Metrics Based on Responsibility (2014-01-01)
End-to-End Semantic Leaf Segmentation Framework for Plant Disease Classification (2022-05-30)
Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic (2022-01-01)
Image-Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey (2021-06-03)
Crowd Counting Using End-to-End Semantic Image Segmentation (2021-06-01)
Advances and Trends in Real-Time Visual Crowd Analysis (2020-09-01)
Effective Video Summarization Using Channel Attention-Assisted Encoder-Decoder Framework (2024-06-01)
Computer Network Redundancy Reduction Using Video Compression (2023-06-01)
A Real-Time Framework for Human Face Detection and Recognition in CCTV Images (2022-03-03)
Unmanned Aerial Vehicles for Crowd Monitoring and Analysis (2021-12-01)
A Privacy-Preserving, Trust Relationship (PTR) Model for the Internet of Vehicles (2021-12-01)
Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Networks (2021-12-01)
Learning Patterns from COVID-19 Instances (2022-01-01)
Hajj Crowd Management Using CNN-Based Approach (2021-01-01)
Attributes Reduction in Big Data (2020-07-01)
Handwritten Digit Recognition: Hyperparameter-Based Analysis (2020-09-01)
Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures (2022-10-01)
AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators (2022-02-01)
A Machine Learning Method for Stock Market Prediction Using Real-Time Twitter Data (2022-10-01)
An Overview of the Current Challenges, Trends, and Protocols in the Field of Vehicular Communication (2022-11-01)
Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM (2022-09-01)
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms (2020-01-01)
Visual intelligence for efficient human action recognition in human-computer interaction applications (2026-03-01)
Comparative Analysis of Code Quality Generated by Large Language Models (2025-01-01)
Impact of unbalanced features on large datasets (2025-01-01)
Software defect prediction based on machine learning and deep learning techniques: an empirical approach (2024-12-01)
A Deep Learning Approach for Anomaly Detection in Large-Scale Hajj Crowds (2024-08-01)
Effective video summarization using channel attention-assisted encoder-decoder framework (2024-06-01)
Crime Type Prediction in Saudi Arabia Based on Intelligence Gathering (2023-08-01)
Computer Network Redundancy Reduction Using Video Compression (2023-06-01)
Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification (2023-04-01)
Big Data Analytics: Deep Content-Based Prediction with Sampling Perspective (2023-01-01)
An Overview of the Current Challenges, Trends, and Protocols in the Field of Vehicular Communication (2022-11-01)
A Machine Learning Method for Stock Market Prediction Using Real-Time Twitter Data (2022-10-01)
Feature Selection Techniques for Big Data Analytics (2022-10-01)
Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures (2022-10-01)
Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM (2022-09-01)
Taxonomy of Anomaly Detection Techniques in Crowd Scenes (2022-08-01)
Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network (2022-06-09)
A deep learning method DCWR with HANet for stock market prediction using news articles (2022-06-01)
A novel deep learning method for detection and classification of plant diseases (2022-02-01)
AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators (2022-02-01)
Crowd Counting and Localization Beyond Density Maps (2022-01-01)
Software Package Testability Prediction Using Object-Oriented Cohesion Metrics (2022-01-01)
A Deep Learning Approach for Crowd Counting in Highly Congested Scenes (2022-01-01)
Hybridized YOLOv4 for Detecting and Counting People in Congested Crowds (2022-01-01)
End-to-End Semantic Leaf Segmentation Framework for Plant Disease Classification (2022-01-01)
A Real-Time Framework for Human Face Detection and Recognition in CCTV Images (2022-01-01)
Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic (2022-01-01)
A privacy-preserved, trust-based model for the Internet of Vehicles (2021-12-01)
Abnormal activity recognition from surveillance videos using convolutional neural network (2021-12-01)
Unmanned aerial vehicles for crowd monitoring and analysis (2021-12-01)
Learning patterns from COVID-19 instances (2021-09-01)
Crowd counting using end-to-end semantic image segmentation (2021-06-01)
Towards Efficient Detection and Crowd Management for Law Enforcing Agencies (2021-04-06)
Wavelet Frequency Transformation for Specific Weed Recognition (2021-04-06)
Real-time monitoring of covid-19 outbreak in public gatherings using deep learning technique (2021-01-01)
Deep transfer learning for covid-19 prediction: Case study for limited data problems (2021-01-01)
Image-Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey (2021-01-01)
Advances and trends in real-time visual crowd analysis (2020-09-02)
Handwritten digit recognition: Hyperparameter-based analysis (2020-09-01)
Crowd monitoring and localization using deep convolutional neural network: A review (2020-07-01)
Attribute reduction in big data (2020-07-01)
Hajj Crowd Management Using a CNN-Based Approach (2020-01-01)
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms (2020-01-01)
An optimal clustering algorithm-based distance aware routing protocol for wireless sensor networks (2019-01-01)
Processing sampled big data (2018-01-01)
The role of sampling in big data analysis (2016-11-10)
Using indirect coupling metrics to predict package maintainability and testability (2016-11-01)
Secure Defensive Mechanisms: An Appropriate Categorization (2015-01-01)
Package cohesion classification (2014-10-21)
Uncertainty and abstractness metrics based on responsibility (2014-09-15)
Frequent pattern mining in software engineering (2013-12-01)
A novel deep learning method for detection and classification of plant diseases (2022-01-01)
Image‐based detection of plant diseases: from classical machine learning to deep learning journey (2021-01-01)
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network (2022-01-01)
A real-time framework for human face detection and recognition in CCTV images (2022-01-01)
Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification (2023-01-01)
Improving the efficiency of multistep short-term electricity load forecasting via R-CNN with ML-LSTM (2022-01-01)
Using indirect coupling metrics to predict package maintainability and testability (2016-01-01)
Crowd monitoring and localization using deep convolutional neural network: A review (2020-01-01)
Taxonomy of anomaly detection techniques in crowd scenes (2022-01-01)
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms (2020-01-01)
End-to-End Semantic Leaf Segmentation Framework for Plant Disease Classification (2022-01-01)
AEI-DNET: a novel densenet model with an autoencoder for the stock market predictions using stock technical indicators (2022-01-01)
Advances and trends in real-time visual crowd analysis (2020-01-01)
Software defect prediction based on machine learning and deep learning techniques: An empirical approach (2024-01-01)
Abnormal activity recognition from surveillance videos using convolutional neural network (2021-01-01)
A machine learning method for prediction of stock market using real-time twitter data (2022-01-01)
Unmanned aerial vehicles for crowd monitoring and analysis (2021-01-01)
Impact of unbalanced features on large datasets (2025-01-01)
An overview of the current challenges, trends, and protocols in the field of vehicular communication (2022-01-01)
Intelligent Arabic handwriting recognition using different standalone and hybrid CNN architectures (2022-01-01)
Hajj Crowd Management Using a CNN-Based Approach (2021-01-01)
Feature selection techniques for big data analytics (2022-01-01)
Crowd counting using end-to-end semantic image segmentation (2021-01-01)
Deep transfer learning for COVID-19 prediction: case study for limited data problems (2021-01-01)
Handwritten digit recognition: Hyperparameter-based analysis (2020-01-01)
A deep learning method DCWR with HANet for stock market prediction using news articles (2022-01-01)
The role of sampling in big data analysis (2016-01-01)
Towards efficient detection and crowd management for law enforcing agencies (2021-01-01)
Effective Video Summarization Using a Channel Attention-Assisted Encoder–Decoder Framework (2024-01-01)
Package cohesion classification (2014-01-01)
A Deep Learning Approach for Anomaly Detection in Large-Scale Hajj Crowds (2024-01-01)
Real-time Monitoring of COVID-19 Standard Operating Procedures at Public Gatherings Using Deep Learning Techniques (2021-01-01)
Software Defect Prediction Via Deep Learning (2020-01-01)
An optimal clustering algorithm-based distance aware routing protocol for wireless sensor networks (2019-01-01)
Crime type prediction in Saudi Arabia based on intelligence gathering (2023-01-01)
A privacy preserved, trust relationship (PTR) model for the internet of vehicles (2021-01-01)
Uncertainty and abstractness metrics based on responsibility (2014-01-01)
Wavelet frequency transformation for specific weeds recognition (2021-01-01)
Crowd counting and localization beyond density map (2022-01-01)
An empirical investigation of the correlation between Package-level cohesion and maintenance effort (2017-01-01)
Predicting software package testability using object-oriented cohesion metrics (2022-01-01)
Predicting software maintainability and testability using package cohesion (2014-01-01)
Attribute reduction in big data (2020-01-01)
Analysis of passwords: Towards understanding of strengths and weaknesses (2018-01-01)
An Empirical Analysis of the Relationship between Cohesion and Testing Effort. (2017-01-01)
Processing sampled big data (2018-01-01)
Revisiting package-level cohesion approaches (2015-01-01)
Big Data Analytics: Deep Content-Based Prediction with Sampling Perspective. (2023-01-01)
Hybridized YOLOv4 for detecting and counting people in crowded crowds (2022-01-01)
Sparse crowd flow analysis of tawaaf of kaaba during the COVID-19 pandemic (2022-01-01)
Content-based prediction: big data sampling perspective (2019-01-01)
Computer Network Redundancy Reduction Using Video Compression (2023-01-01)
A Deep Learning Approach for Crowd Counting in Highly Congested Scenes (2022-01-01)
Learning Patterns from COVID-19 Instances (2022-01-01)
Predicting Costly Maintenance Packages Using Package Cohesion. (2018-01-01)
Security and Safety Concerns: Username and Password Paradigm (2017-01-01)
Secure Defensive Mechanisms: An Appropriate Categorization (2015-01-01)
Visual intelligence for efficient human action recognition in human-computer interaction applications (2026-01-01)
Empirical Analysis of Security Threats and Issues in Loyalty Cards of the Saudi Market (2025-01-01)
Comparative Analysis of Code Quality Generated by Large Language Models (2025-01-01)
Deep Implicit Supervision with Multiscale Feature Mapping for COVID-19 Detection in Chest Radiography Images (2023-01-01)
Research Article End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification (2022-01-01)
A Novel Approach for Crowd Counting in Highly Congested Scene Using Machine Learning Techniques (2021-01-01)
Crowd Counting through End-to-End Semantic Scene Segmentation. Electronics 2021, 10, 1293 (2021-01-01)
A Privacy Preserved, Trust Relationship (PTR) Model for Internet of Vehicles. Electronics 2021, 10, 3105 (2021-01-01)
Analysis of user Awareness for Saudi State Mobile Applications (2020-01-01)
RESUBMISSION: EPIDEMIC ANALYSIS AND PREDICTION OF COVID-19 USING A GAUSSIAN DOUBLING TIMES (PREPRINT) (2020-01-01)
Revisiting The Package-level Cohesion Approaches (2015-01-01)
Resubmission: Epidemic Analysis and Prediction of COVID-19 Using a Gaussian Doubling Times (2026-01-01)
Session 1 001-N167 Package Cohesion Classification 1 Waleed Albattah, Austin Melton 002-N345 CB-Cloudle and Cloud Crawlers 9 (2026-01-01)

Teaching materials