Publications

Predictive modeling of precast concrete compressive strength using artificial neural networks in a data-driven engineering framework: enhancing structural durability and sustainable construction

Iguza Steven, Hanif Adedotun, Onyebuchi Mogbo, Umar Adam

Edelweiss Applied Science and Technology · 2024

This study addresses the critical need for sustainable construction by developing a predictive model for the compressive strength of Grade C40 precast concrete using Artificial Neural Networks (ANN). The purpose of the research is to enhance construction efficiency, reduce material waste, and promote sustainability.

A Lightweight Real-Time EEG-Based Brain–Computer Interface for Imagined Speech-Controlled Robotics via Machine Learning

Hanif Adedotun, Precious Akah, Nyangwarimam Obadiah Ali

Emerging Science Innovation · 2026

This study aims to develop a lightweight, real-time brain–computer interface system for classifying imagined speech commands using electroencephalography (EEG) signals acquired from a 14-channel Emotiv headset. Four motor-related imagined speech commands—push, pull, left, and right—are recorded from 15 participants, with a neutral state serving as a baseline.