Search Results - "OYEWOLA, David"
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Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons
Published in Gazi University Journal of Science (01-06-2022)“…The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey. This paper presents…”
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2
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems
Published in Heliyon (01-05-2022)“…The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers are some of the reasons for their high popularity and…”
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3
Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer
Published in SN applied sciences (01-05-2022)“…Machine Learning has found application in solving complex problems in different fields of human endeavors such as intelligent gaming, automated transportation,…”
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4
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
Published in Applied artificial intelligence (31-12-2022)“…Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying Plasmodium parasites in blood smear images can help diagnose…”
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5
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
Published in PeerJ. Computer science (02-03-2021)“…For people in developing countries, cassava is a major source of calories and carbohydrates. However, Cassava Mosaic Disease (CMD) has become a major cause of…”
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6
Computer-aided diagnosis of breast cancer from mammogram images using deep learning algorithms
Published in Journal of Electrical Systems and Information Technology (01-12-2024)“…Even though accurate detection of dangerous malignancies from mammogram images is mostly dependent on radiologists' experience, specialists occasionally differ…”
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7
Hyperparameter Optimization of Ensemble Models for Spam Email Detection
Published in Applied sciences (01-02-2023)“…Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats to cybersecurity globally. More than half of the emails sent in…”
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A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis
Published in Healthcare analytics (New York, N.Y.) (01-12-2023)“…Breast cancer is a common and potentially life-threatening disease. Early and accurate diagnosis of breast cancer is crucial for effective treatment and…”
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Application of Deep Learning Techniques and Bayesian Optimization with Tree Parzen Estimator in the Classification of Supply Chain Pricing Datasets of Health Medications
Published in Applied sciences (01-10-2022)“…From the development and sale of a product through its delivery to the end customer, the supply chain encompasses a network of suppliers, transporters,…”
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Ensemble Machine Learning for Monkeypox Transmission Time Series Forecasting
Published in Applied sciences (01-12-2022)“…Public health is now in danger because of the current monkeypox outbreak, which has spread rapidly to more than 40 countries outside of Africa. The growing…”
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11
A novel hybrid walk-forward ensemble optimization for time series cryptocurrency prediction
Published in Heliyon (01-11-2022)“…Cryptocurrency is an advanced digital currency that is secured by encryption, making it nearly impossible to forge or duplicate. Many cryptocurrencies are…”
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12
Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)
Published in Applied computational intelligence and soft computing (13-10-2023)“…The importance of facial expressions in nonverbal communication is significant because they help better represent the inner emotions of individuals. Emotions…”
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13
On the multiplicity order of spinnable star-like transformation semigroup Twn
Published in Journal of Nigerian Society of Physical Sciences (06-03-2024)“…The application of graph theory has gained significant traction within the realm of the algebraic theory of semigroups. This study delves into exploring the…”
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14
Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules
Published in Applied sciences (01-07-2022)“…A molecule is the smallest particle in a chemical element or compound that possesses the element or compound’s chemical characteristics. There are numerous…”
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Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques
Published in Information (Basel) (01-12-2021)“…The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of…”
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Deep Learning for Predicting Attrition Rate in Open and Distance Learning (ODL) Institutions
Published in Computers (Basel) (01-09-2024)“…Student enrollment is a vital aspect of educational institutions, encompassing active, registered and graduate students. All the same, some students fail to…”
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Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory
Published in Heliyon (01-04-2023)“…Sentiment analysis is the process of recognizing positive or negative attitudes in text. This technique makes use of computational linguistics, text analysis,…”
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COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches
Published in Journal of Nigerian Society of Physical Sciences (29-11-2021)“…Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on…”
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Predicting protein secondary structure based on ensemble Neural Network
Published in ITEGAM-JETIA (15-02-2021)“…Protein structure prediction is very vital to innovative process of discovering new medications based on the knowledge of a biological target. It is also…”
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Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction
Published in Knowledge-based systems (25-01-2024)Get full text
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