[HTML][HTML] Optimized gravitational search algorithm for feature fusion in a multimodal biometric system

FW Ipeayeda, MO Oyediran, SA Ajagbe, JO Jooda… - Results in …, 2023 - Elsevier
In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …

[HTML][HTML] The use of ai to analyze social media attacks for predictive analytics

TS Adekunle, MO Lawrence, OO Alabi… - American Journal of …, 2024 - ajomais.org
Social engineering, on the other hand, presents weaknesses that are difficult to directly
quantify in penetration testing. The majority of expert social engineers utilize phishing and …

Intrusion Detection: A Comparison Study of Machine Learning Models Using Unbalanced Dataset

SA Ajagbe, JB Awotunde, H Florez - SN Computer Science, 2024 - Springer
The worldwide process of converting most activities of both corporate and non-corporate
entities into digital formats is now firmly established. Machine learning models are …

Deep learning technique for plant disease detection

TS Adekunle, MO Lawrence, OO Alabi… - Computer Science and …, 2024 - iaesprime.com
A nation's economy is primarily reliant on agricultural growth. However, several plant
diseases seriously impair crop growth, both in terms of quantity and quality. Due to a lack of …

[HTML][HTML] Reconfigurable fault-tolerant attitude control for over-actuated hypersonic flight vehicle with actuator failures

A Li, X Hu, K Dong, H Li, B **ao - Alexandria Engineering Journal, 2025 - Elsevier
This paper proposes a novel fast attitude fault-tolerant control (FTC) scheme for over-
actuated hypersonic flight vehicles experiencing actuator failures, such as stuck faults and …

STFormer: A dual-stage transformer model utilizing spatio-temporal graph embedding for multivariate time series forecasting

Y **ao, Z Liu, H Yin, X Wang… - Journal of Intelligent & …, 2024 - content.iospress.com
Multivariate Time Series (MTS) forecasting has gained significant importance in diverse
domains. Although Recurrent Neural Network (RNN)-based approaches have made notable …

A Comparative Analysis of the Performance of Deep Learning Techniques in Precision Farming Using Soil and Climate Factors

JK Adeniyi, TT Adeniyi, SA Ajagbe, EA Adeniyi… - Procedia Computer …, 2024 - Elsevier
Over the years, farmers have continuously faced the issue of planting various crops at
locations that are not suitable for the growth of certain crops and that in turn affects the crop …

A lightweight object detection approach based on edge computing for mining industry

MW Hanif, Z Li, Z Yu, R Bashir - IET Image Processing, 2024 - Wiley Online Library
Coal Mining enterprises deploy numerous monitoring devices to ensure safe and efficient
production using target detection technologies. However, deploying deep detection models …

Real-time Face-based Gender Identification System Using Pelican Support Vector Machine

OS Ojo, MO Oyediran, OO Awodoye, SA Ajagbe… - Procedia Computer …, 2024 - Elsevier
Gender identification from video is an emerging research field that aims to automatically
classify the gender of individuals based on video data. Due to the numerous applications for …

Self-Adaptive Incremental PCA-Based DBSCAN of Acoustic Features for Anomalous Sound Detection

X Tan, SM Yiu - SN Computer Science, 2024 - Springer
In modern industry, maintaining continuous machine operations is important for improving
production efficiency and reducing costs. Therefore, the smart technology of acoustic …