Khalid Almohammadi

According to our database, Khalid Almohammadi authored at least 16 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fuzzy deep learning architecture for cucumber plant disease detection and classification.

Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

J. Big Data, December, 2025

Deep learning computer vision system for estimating sheep age using teeth images.

Ahmad B. A. Hassanat, Mohammad A. Al-Sarayreh, Ahmad S. Tarawneh, Mohammad Ali Abbadi, Khalid Almohammadi, Mansoor Alghamdi, Maha Alamri, Abdulkareem Alzahrani, Ghada Awad Altarawneh

Connect. Sci., 2025

2OM-Pred: prediction of 2-<i>O</i>-methylation sites in ribonucleic acid using diverse classifiers.

Anas Bilal, Muhammad Taseer Suleman, Khalid Almohammadi, Abdulkareem Alzahrani, Xiaowen Liu

Briefings Bioinform., 2025

2024

PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs.

Anas Bilal, Ali Haider Khan, Khalid Almohammadi, Sami A. Al Ghamdi, Haixia Long, Hassaan Malik

IEEE Access, 2024

2020

Conceptual Framework Based On Type-2 Fuzzy Logic Theory for Predicting Childhood Obesity Risk.

Khalid Almohammadi

Int. J. Online Biomed. Eng., 2020

SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm.

Ahmad S. Tarawneh, Ahmad B. A. Hassanat, Khalid Almohammadi, Dmitry Chetverikov, Colin Bellinger

IEEE Access, 2020

2019

Choosing Mutation and Crossover Ratios for Genetic Algorithms - A Review with a New Dynamic Approach.

Ahmad B. A. Hassanat, Khalid Almohammadi, Esra'a Alkafaween, Eman Abunawas, Awni Mansoar Hammouri, V. B. Surya Prasath

Inf., 2019

2017

A type-2 fuzzy logic recommendation system for adaptive teaching.

Khalid Almohammadi, Hani Hagras, Bo Yao, Abdulkareem Alzahrani, Daniyal M. Al-Ghazzawi, Ghadah Aldabbagh

Soft Comput., 2017

A zSlices-based general type-2 fuzzy logic system for users-centric adaptive learning in large-scale e-learning platforms.

Khalid Almohammadi, Hani Hagras, Daniyal M. Alghazzawi, Ghadah Aldabbagh

Soft Comput., 2017

Making the Invisible Visible: Real-Time Feedback for Embedded Computing Learning Activity Using Pedagogical Virtual Machine with Augmented Reality.

Malek Q. Alrashidi, Khalid Almohammadi, Michael Gardner, Victor Callaghan

Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2017

2016

Type-2 fuzzy logic based systems for adaptive learning and teaching within intelligent e-learning environments.

Khalid Almohammadi

PhD thesis, 2016

Users-Centric Adaptive Learning System Based on Interval Type-2 Fuzzy Logic for Massively Crowded E-Learning Platforms.

Khalid Almohammadi, Hani Hagras, Daniyal M. Alghazzawi, Ghadah Aldabbagh

J. Artif. Intell. Soft Comput. Res., 2016

2015

An interval type-2 fuzzy logic based system for improved instruction within intelligent e-learning platforms.

Khalid Almohammadi, Bo Yao, Abdulkareem Alzahrani, Hani Hagras, Daniyal M. Al-Ghazzawi

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

An interval type-2 fuzzy logic based system with user engagement feedback for customized knowledge delivery within intelligent E-learning platforms.

Khalid Almohammadi, Bo Yao, Hani Hagras

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

An Interval Type-2 Fuzzy Logic Based System for Customised Knowledge Delivery within Pervasive E-Learning Platforms.

Khalid Almohammadi, Hani Hagras

Proceedings of the IEEE International Conference on Systems, 2013

An adaptive fuzzy logic based system for improved knowledge delivery within intelligent E-Learning platforms.

Khalid Almohammadi, Hani Hagras

Proceedings of the FUZZ-IEEE 2013, 2013