Andronicus A. Akinyelu
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View article: A multi-class hybrid variational autoencoder and vision transformer model for enhanced plant disease identification
A multi-class hybrid variational autoencoder and vision transformer model for enhanced plant disease identification Open
Agriculture is considered as the propeller of economic growth as it accounts for 6.4 % of global gross domestic product (GDP) and in low-income countries, it can account for more than 25 % of GDP. Plants supply more than 80 % of the food c…
View article: Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review
Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review Open
Crop diseases pose a significant threat to global food security, with both economic and environmental consequences. Early and accurate detection is essential for timely intervention and sustainable farming. This paper presents a review of …
View article: Revolutionizing crop disease detection with computational deep learning: a comprehensive review
Revolutionizing crop disease detection with computational deep learning: a comprehensive review Open
View article: Machine learning models for efficient characterization of Schottky barrier photodiode internal parameters
Machine learning models for efficient characterization of Schottky barrier photodiode internal parameters Open
We propose ANN-based models to analyze and extract the internal parameters of a Schottky photodiode (SPD) without presenting them with any knowledge of the highly nonlinear thermionic emission (TE) expression of the device current. We trai…
View article: COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network
COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network Open
This study proposes a deep-learning-based solution (named CapsNetCovid) for COVID-19 diagnosis using a capsule neural network (CapsNet). CapsNets are robust for image rotations and affine transformations, which is advantageous when process…
View article: COVID-19 diagnosis using deep learning neural networks applied to CT images
COVID-19 diagnosis using deep learning neural networks applied to CT images Open
COVID-19, a deadly and highly contagious virus, caused the deaths of millions of individuals around the world. Early detection of the virus can reduce the virus transmission and fatality rate. Many deep learning (DL) based COVID-19 detecti…
View article: Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey Open
Management of brain tumors is based on clinical and radiological information with presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of paramount importance to choose the best treatment plan. Convolution…
View article: Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices Open
Eye tracking is becoming a very popular, useful, and important technology. Many eye tracking technologies are currently expensive and only available to large corporations. Some of them necessitate explicit personal calibration, which makes…
View article: Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey
Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey Open
Eye tracking is becoming a very important tool across many domains, including human-computer-interaction, psychology, computer vision, and medical diagnosis. Different methods have been used to tackle eye tracking, however, some of them ar…
View article: Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization
Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization Open
Due to the fast-growing rate of information sources, many organizations and individuals are overwhelmed with vast amounts of data. The rate of data growth is very alarming, and it is already going beyond the Exabyte limit. Hence, there is …
View article: On the Performance of Cuckoo Search and Bat Algorithms Based Instance Selection Techniques for SVM Speed Optimization with Application to e-Fraud Detection
On the Performance of Cuckoo Search and Bat Algorithms Based Instance Selection Techniques for SVM Speed Optimization with Application to e-Fraud Detection Open
Support Vector Machine (SVM) is a well-known machine learning classification algorithm, which has been widely applied to many data mining problems, with good accuracy.However, SVM classification speed decreases with increase in dataset siz…
View article: Improved Instance Selection Methods for Support Vector Machine Speed Optimization
Improved Instance Selection Methods for Support Vector Machine Speed Optimization Open
Support vector machine (SVM) is one of the top picks in pattern recognition and classification related tasks. It has been used successfully to classify linearly separable and nonlinearly separable data with high accuracy. However, in terms…