A survey on unsupervised learning for wearable sensor-based activity recognition. - Ayokunle Olalekan Ige; Mohd Halim Mohd Noor (Appl. Soft Comput., 2022)

ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes. - Ayokunle Olalekan Ige; Nikhil Kumar Tomar; Felix Ola Aranuwa; Oluwafemi Oriola; Alaba O. Akingbesote; Mohd Halim Mohd Noor; Manuel Mazzara; Segun Benjamin Aribisala (IEEE Access, 2023)

WSense: A Robust Feature Learning Module for Lightweight Human Activity Recognition. - Ayokunle Olalekan Ige; Mohd Halim Mohd Noor (CoRR, 2023)

A lightweight deep learning with feature weighting for activity recognition. - Ayokunle Olalekan Ige; Mohd Halim Mohd Noor (Comput. Intell., 2023)

State-of-the-Art in 1D Convolutional Neural Networks: A Survey. - Ayokunle Olalekan Ige; Malusi Sibiya (IEEE Access, 2024)

A Survey on Deep Learning and State-of-the-art Applications. - Mohd Halim Mohd Noor; Ayokunle Olalekan Ige (CoRR, 2024)

A deep local-temporal architecture with attention for lightweight human activity recognition. - Ayokunle Olalekan Ige; Mohd Halim Mohd Noor (Appl. Soft Comput., 2024)

A survey on state-of-the-art deep learning applications and challenges. - Mohd Halim Mohd Noor; Ayokunle Olalekan Ige (Eng. Appl. Artif. Intell., 2025)