Ebenezer OlaniyiUniversity of Georgia | UGA · Department of Food Science and Technology
Ebenezer Olaniyi
Master of Science
About
40
Publications
15,628
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699
Citations
Introduction
Additional affiliations
March 2018 - present
Adeleke University, Ede, Nigeria
Position
- Lecturer
January 2015 - January 2016
Position
- senior member
January 2015 - January 2016
Position
- Researcher
Publications
Publications (40)
Artificial neural networks have found applications in various areas of medical diagnosis. The capability of neural networks to learn medical data, mining useful and complex relationships that exist between attributes has earned it a major domain in decision support systems. This paper proposes a fast automatic system for the diagnosis of disk herni...
There is an increase in death rate yearly as a
result of heart diseases. One of the major factors that
cause this increase is misdiagnoses on the part of medical
doctors or ignorance on the part of the patient. Heart
diseases can be described as any kind of disorder that
affects the heart. In this research work, causes of heart
diseases, the...
Mortality rate increases all over the world on a daily basis. The reason for this could be largely adduced to the increase in the number of patients with cardiovascular diseases. To worsen the case, many physicians have been known for misdiagnosis of patients reporting heart related ailment. In this paper, an intelligent system has been design whic...
There is a need for quality production at a very fast rate in food processing industry. Therefore, developing a system that can perform the visual perception of the human operator in making decisions at a very fast rate will be of great advantage. Such machine vision system will reduce human errors such as individual perception differences in deter...
The functionality of fats in food is determined by the total amount of fat crystals, measured as percent solid fat content (SFC). The SFC is a physical parameter conventionally evaluated by either nuclear magnetic resonance or differential scanning calorimetry (DSC), which is time-consuming. This study investigated the use of near-infrared (NIR) sp...
Meat quality has gained ample attention owing to increased consumer awareness and competition among poultry processors to deliver premium quality products. Nevertheless, chicken breast meat is susceptible to microbial spoilage resulting in economic and product losses. Conventional approaches such as organoleptic, aerobic plate count (APC), and mole...
Beef marbling is primarily assessed in terms of the abundance and spatial distribution of visible fat flecks within Longissimus Dorsi (LD) muscle. Visual appraisal by trained professionals is the currently prevailing practice in beef marbling assessment, but it is subjective, labor-intensive, and time-consuming. Structured Illumination Reflectance...
Highlights
Broiler breast meat with white striping (WS) was imaged under sinusoidally modulated structured illumination.
Amplitude component (AC) images resolved better WS characteristics than direct component (DC) images.
Models built on deep features classified meat samples into 2 and 3 classes according to WS severity.
The AC images consistently...
Marbling is one of the most critical determinants of beef quality and primarily assessed in terms of the abundance and spatial distribution of visible fat flecks within the longissimus dorsi (LD) muscle. Visual appraisal by trained professionals is the currently prevailing practice in beef marbling assessment, but it suffers from the drawbacks of h...
Volume is an important phenotype and shape descriptor of sweetpotato storage roots for postharvest quality assessment
and breeding programs. The standard water displacement method for measuring fruit volume is laborious, subject to human observation errors, and often destructive. Three-dimensional (3D) imaging-based machine vision provides an alter...
The global poultry industries have seen the prevalence of muscle myopathies including white striping (WS), woody breast, and spaghetti meat on broiler breast fillets. In the United States, the myopathies cause an estimated economic loss of hundreds of millions of dollars yearly, due to quality downgrading and low consumer acceptability. Visual insp...
Marbling is one of the most important determinants for beef quality and assessed in terms of the abundance and spatial distribution of visible fat flecks in the longissimus dorsi (LD) muscle. Visual appraisal by trained professionals is the currently prevailing practice in beef marbling assessment, but it suffers from the drawbacks of human subject...
In this study, we explore the use of chest X-ray data in training an optimized hybrid AI model based on a real-world dataset with limited sample size to screen patients with COVID-19. We develop a hybrid Convolutional Neural Network (CNN) and Random Forest (RF) model based on image features extracted through a CNN and EfficientNet B0 Transfer Learn...
Volume is an important phenotype and quality attribute of sweetpotato storage roots. Conventionally the volume of most agricultural products is measured by water displacement. This method, which requires submerging the products in a container of water and measuring the displacement of water in the container, is time-consuming and tedious. It would...
Muscle myopathies or defects, such as white striping (WS), downgrade the quality of broiler meat, leading to the loss of millions of dollars annually for the U.S. poultry industry. Visual inspection is currently practiced for assessing myopathies in broiler meat, which is however prone to human evaluation error, labor-intensive, and costly. Imaging...
Muscle myopathies or defects such as white striping (WS), woody breasts (WB), and spaghetti meat, downgrade the quality of broiler meat, and cause loss of hundreds of millions of dollars annually for the United States poultry industry. Visual inspection is currently practiced for assessing myopathies in broiler meat. This method is however prone to...
In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detection and localization), in the presence of challenges with biological variability and unstructured environments. Large-scale, balanced and ground-truthed image
datasets are...
Background: Eye melanoma is deforming in the eye, growing and developing in tissues inside the middle layer of an eyeball, resulting in dark spots in the iris section of the eye, changes in size, the shape of the pupil, and vision.
Objective: The current study aims to diagnose eye melanoma using a gray level co-occurrence matrix (GLCM) for texture...
In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e.g., image classification, segmentation, object detection and localization), in the presence of challenges with biological variability and unstructured environments. Large-scale, balanced and ground-truthed image datasets, ho...
Background:
Eye melanoma is deforming in the eye, growing and developing in tissues inside the middle layer of an eyeball, resulting in dark spots in the iris section of the eye, changes in size, the shape of the pupil, and vision.
Objective:
The current study aims to diagnose eye melanoma using a gray level co-occurrence matrix (GLCM) for textu...
Rationale and Objective
To perform a meta-analysis to compare the diagnostic test accuracy (DTA) of deep learning (DL) in detecting coronavirus disease 2019 (COVID-19), and to investigate how network architecture and type of datasets affect DL performance.
Materials and Methods
We searched PubMed, Web of Science and Inspec from January 1, 2020, to...
Low solar-electrical energy output conversion efficiency is a major limitation in the use of solar photovoltaic (PV) systems for power generation. This work aims at determining the degree of effectiveness of a unitary axis solar active tracker. In this work, a unitary axis solar active tracking system by which more energy from the sun can be harnes...
Background:
The pooled prevalence of chest computed tomography (CT) abnormalities and other detailed analysis related to patients' biodata like gender and different age groups have not been previously described for patients with coronavirus disease 2019 (COVID-19), thus necessitating this study. Objectives: To perform a meta-analysis to evaluate t...
In the fruit production industries and supermarkets, mature (ripe)
fruits are demanded for consumption by the consumers and also for production in fruit processing industries. Therefore, there is an urgent need for an in-line grading system in such industry to aid the grading of mango fruit; in order to enhance the use of ripe and mature mangoes fo...
In the fruit production industries and supermarkets, mature (ripe) fruits are demanded for consumption by the consumers and also for production in fruit processing industries. Therefore, there is an urgent need for an in-line grading system in such industry to aid the grading of mango fruit; in order to enhance the use of ripe and mature mangoes fo...
Nowadays, an identification system is needed in the food processing industries to boost the efficiency of production so as to meet up with demand in the society. Manual approach is often used in product grading and quality control, and this unfortunately could lead to uneven products, higher time expense, and fatigue by the human operators. Therefo...
Energy is very important in many areas of life. Moreover, humans seem to be almost totally reliant on electrical energy in the lastfew decades. Although, huge efforts are invested in electronic devices which consume lesser energy or rely on alternative powersources, many emerging devices continue to rely on some sort of electrical power. Energy com...
In this research work, we have implemented an intelligent system for diagnosis of diabetic retinopathy. Diabetic retinopathy is a damage caused by diabetes to the retinal blood vessels. This causes the leak of blood and other fluid that resulted into swelling of retina tissue and cloudy vision. This can be classified into two; non-proliferative dia...
Energy is very important in many areas of life. Moreover, humans seem to be almost totally reliant on electrical energy in the last few decades. Although, huge efforts are invested in electronic devices which consume lesser energy or rely on alternative power sources, many emerging devices continue to rely on some sort of electrical power. Energy c...
The orthodox system of diagnosis in medicine requires that laboratory procedures should be performed to obtain the results of diagnostic queries. While this practice is standard, the field of machine learning is now revolutionizing medical diagnoses. Data (medical histories) of different parents archived over long periods can be used to make predic...
In this paper, two models of artificial neural network have been developed to solve the problems facing physicians in diagnosis of liver diseases. Experience has shown that many patients suffering from liver
disorder die daily as a result of misdiagnosis of the diseases. Therefore, two models: back propagation neural
network and radial basis functi...
Iris nevus can be described as a growth commonly found on the iris, or regions surrounding the pupil. This growth is usually pigmented and non-cancerous, and therefore harmless; often requiring little medical attention. However, it has been established that there exists a relatively high risk of transformation of such growths into iris melanoma, wh...
Artificial neural networks have been used in
different fields of artificial intelligence, and more specifically in
machine learning. Although, other machine learning options are
feasible in most situations, but the ease with which neural
networks lend themselves to different problems which include
pattern recognition, image compression, classi...
Character recognition is a field of machine learning
that has been under research for several decades. The particular
success of neural networks in pattern recognition and therefore
character recognition is laudable. Research has also long shown
that a single hidden layer network has the capability to
approximate any function; while, the probl...