Ayokunle Olalekan Ige

According to our database, Ayokunle Olalekan Ige authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

A deep local-temporal architecture with attention for lightweight human activity recognition.

Ayokunle Olalekan Ige, Mohd Halim Mohd Noor

Appl. Soft Comput., December, 2024

A Survey on Deep Learning and State-of-the-art Applications.

Mohd Halim Mohd Noor, Ayokunle Olalekan Ige

CoRR, 2024

State-of-the-Art in 1D Convolutional Neural Networks: A Survey.

Ayokunle Olalekan Ige, Malusi Sibiya

IEEE Access, 2024

2023

A lightweight deep learning with feature weighting for activity recognition.

Ayokunle Olalekan Ige, Mohd Halim Mohd Noor

Comput. Intell., April, 2023

WSense: A Robust Feature Learning Module for Lightweight Human Activity Recognition.

Ayokunle Olalekan Ige, Mohd Halim Mohd Noor

CoRR, 2023

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

2022

A survey on unsupervised learning for wearable sensor-based activity recognition.

Ayokunle Olalekan Ige, Mohd Halim Mohd Noor

Appl. Soft Comput., 2022