An adaptive fuzzy logic based system for improved knowledge delivery within intelligent E-Learning platforms. - Khalid Almohammadi; Hani Hagras (FUZZ-IEEE, 2013)

An Interval Type-2 Fuzzy Logic Based System for Customised Knowledge Delivery within Pervasive E-Learning Platforms. - Khalid Almohammadi; Hani Hagras (SMC, 2013)

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 001; Hani Hagras (FUZZ-IEEE, 2014)

An interval type-2 fuzzy logic based system for improved instruction within intelligent e-learning platforms. - Khalid Almohammadi; Bo Yao 001; Abdulkareem Alzahrani; Hani Hagras; Daniyal M. Al-Ghazzawi (FUZZ-IEEE, 2015)

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)

Type-2 fuzzy logic based systems for adaptive learning and teaching within intelligent e-learning environments. - Khalid Almohammadi (2016)

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 (AVR (1), 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)

A type-2 fuzzy logic recommendation system for adaptive teaching. - Khalid Almohammadi; Hani Hagras; Bo Yao 001; Abdulkareem Alzahrani; Daniyal M. Al-Ghazzawi; Ghadah Aldabbagh (Soft Comput., 2017)

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)

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)

Conceptual Framework Based On Type-2 Fuzzy Logic Theory for Predicting Childhood Obesity Risk. - Khalid Almohammadi (Int. J. Online Biomed. Eng., 2020)

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)

2OM-Pred: prediction of 2-O-methylation sites in ribonucleic acid using diverse classifiers. - Anas Bilal; Muhammad Taseer Suleman; Khalid Almohammadi; Abdulkareem Alzahrani; Xiaowen Liu (Briefings Bioinform., 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)

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, 2025)