Unsupervised Learning Fuzzy Finite State Machine for Human Activities Recognition. - Gadelhag Mohmed; Ahmad Lotfi; Caroline S. Langensiepen; Amir Pourabdollah (PETRA, 2018)

Clustering-Based Fuzzy Finite State Machine for Human Activity Recognition. - Gadelhag Mohmed; Ahmad Lotfi; Caroline S. Langensiepen; Amir Pourabdollah (UKCI, 2018)

Long short-term memory fuzzy finite state machine for human activity modelling. - Gadelhag Mohmed; Ahmad Lotfi; Amir Pourabdollah (PETRA, 2019)

Fuzzy Feature Representation with Bidirectional Long Short-Term Memory for Human Activity Modelling and Recognition. - Gadelhag Mohmed; David Ada Adama; Ahmad Lotfi (UKCI, 2019)

Convolutional Neural Network Classifier with Fuzzy Feature Representation for Human Activity Modelling. - Gadelhag Mohmed; Ahmad Lotfi; Amir Pourabdollah (FUZZ-IEEE, 2020)

Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data. - Gadelhag Mohmed; Ahmad Lotfi; Amir Pourabdollah (PETRA, 2020)

Enhanced fuzzy finite state machine for human activity modelling and recognition. - Gadelhag Mohmed; Ahmad Lotfi; Amir Pourabdollah (J. Ambient Intell. Humaniz. Comput., 2020)

Fuzzy Finite State Machine for human activity modelling and recognition - Gadelhag Mohmed (2020)

Using AI Approaches for Predicting Tomato Growth in Hydroponic Systems. - Gadelhag Mohmed; Steven Grundy; Ahmad Lotfi; Chungui Lu (UKCI, 2021)

Temperature Prediction in Chinese Solar Greenhouse Based on Artificial Neural Networks Using Environmental Factors. - Gadelhag Mohmed; Steven Grundy; Weituo Sun; Ahmad Lotfi; Chungui Lu (UKCI, 2022)

Optimizing Nutrient Formulations Through Artificial Intelligence Model to Reduce Excessive Fertigation in Lettuce Grown in Hydroponic Systems. - Gadelhag Mohmed; Gultekin Hasanaliyeva; Roy O'Mahony; Chungui Lu (IEEE Access, 2025)