Search Results - "Dada, Emmanuel Gbenga"

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  1. 1

    Progress on Artificial Neural Networks for Big Data Analytics: A Survey by Chiroma, Haruna, Abdullahi, Usman Ali, Abdulhamid, Shafi'i Muhammad, Abdulsalam Alarood, Ala, Gabralla, Lubna A., Rana, Nadim, Shuib, Liyana, Targio Hashem, Ibrahim Abaker, Gbenga, Dada Emmanuel, Abubakar, Adamu I., Zeki, Akram M., Herawan, Tutut

    Published in IEEE access (2019)
    “…Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought the world into the era of "big data." Artificial neural networks…”
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    Journal Article
  2. 2

    Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems by Joseph, Stephen Bassi, Dada, Emmanuel Gbenga, Abidemi, Afeez, Oyewola, David Opeoluwa, Khammas, Ban Mohammed

    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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    Journal Article
  3. 3

    Exploring machine learning: a scientometrics approach using bibliometrix and VOSviewer by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga

    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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    Journal Article
  4. 4

    Machine learning for email spam filtering: review, approaches and open research problems by Dada, Emmanuel Gbenga, Bassi, Joseph Stephen, Chiroma, Haruna, Abdulhamid, Shafi'i Muhammad, Adetunmbi, Adebayo Olusola, Ajibuwa, Opeyemi Emmanuel

    Published in Heliyon (01-06-2019)
    “…The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters…”
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    Journal Article
  5. 5

    A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Misra, Sanjay, Damaševičius, Robertas

    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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    Journal Article
  6. 6

    Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Misra, Sanjay, Damaševičius, Robertas

    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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    Journal Article
  7. 7

    Computer-aided diagnosis of breast cancer from mammogram images using deep learning algorithms by Dada, Emmanuel Gbenga, Oyewola, David Opeoluwa, Misra, Sanjay

    “…Even though accurate detection of dangerous malignancies from mammogram images is mostly dependent on radiologists' experience, specialists occasionally differ…”
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    Journal Article
  8. 8

    Ensemble machine learning algorithm for cost-effective and timely detection of diabetes in Maiduguri, Borno State by Dada, Emmanuel Gbenga, Birma, Aishatu Ibrahim, Gora, Abdulkarim Abbas

    “…Diabetes is a serious medical condition that severely hinders the body's ability to produce or properly regulate insulin, leading to detrimental carbohydrate…”
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    Journal Article
  9. 9

    A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis by Omotehinwa, Temidayo Oluwatosin, Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga

    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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    Journal Article
  10. 10

    Application of Deep Learning Techniques and Bayesian Optimization with Tree Parzen Estimator in the Classification of Supply Chain Pricing Datasets of Health Medications by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Omotehinwa, Temidayo Oluwatosin, Emebo, Onyeka, Oluwagbemi, Olugbenga Oluseun

    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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    Journal Article
  11. 11

    Ensemble Machine Learning for Monkeypox Transmission Time Series Forecasting by Dada, Emmanuel Gbenga, Oyewola, David Opeoluwa, Joseph, Stephen Bassi, Emebo, Onyeka, Oluwagbemi, Olugbenga Oluseun

    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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    Journal Article
  12. 12

    A novel hybrid walk-forward ensemble optimization for time series cryptocurrency prediction by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Ndunagu, Juliana Ngozi

    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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    Journal Article
  13. 13

    Key factors influencing students’ academic performance by Suleiman, Ibrahim Baba, Okunade, Oluwasogo Adekunle, Dada, Emmanuel Gbenga, Ezeanya, Uchenna Christiana

    “…Academic achievement is a multifaceted outcome influenced by a multitude of factors spanning across educational, socioeconomic, and individual characteristics…”
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    Journal Article
  14. 14

    Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Dada, Emmanuel Gbenga, Oyewola, David Opeoluwa, Joseph, Stephen Bassi, Emebo, Onyeka, Oluwagbemi, Olugbenga Oluseun

    “…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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    Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques by Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga, Misra, Sanjay, Damaševičius, Robertas

    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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    Journal Article
  17. 17

    Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory by Oyewola, David Opeoluwa, Oladimeji, Lawal Abdullahi, Julius, Sowore Olatunji, Kachalla, Lummo Bala, Dada, Emmanuel Gbenga

    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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    Journal Article
  18. 18

    COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches by David Opeoluwa Oyewola, Dada, Emmanuel Gbenga, Ndunagu, Juliana Ngozi, Abubakar Umar, Terrang, S.A, Akinwunmi

    “…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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  19. 19

    Predicting protein secondary structure based on ensemble Neural Network by Dada, Emmanuel Gbenga, Oyewola, David Opeoluwa, Yakubu, Joseph Hurcha, Fadele, Ayotunde Alaba

    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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    Journal Article
  20. 20

    A new auditory algorithm in stock market prediction on oil and gas sector in Nigerian stock exchange by Oyewola, David O., Ibrahim, Asabe, Kwanamu, Joshua.A., Dada, Emmanuel Gbenga

    Published in Soft computing letters (01-12-2021)
    “…Stock market prediction is the process of forecasting future prices of stocks. Stock market prediction is a challenging process as a result of uncertainties…”
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