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Results 1-10 of 12 (Search time: 0.004 seconds).
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Issue DateTitleAuthor(s)
2017-09A MACHINE LEARNING BASED APPROACH FOR THE MANAGEMENT OF TYPHOID AND MALARIA INFECTIONAbisoye, Opeyemi Aderiike; Ibrahim, Douglas; Abisoye, Blessing Olatunde; Elisha, Richard
2019A Computer Based Approach for the Prediction of Multiclass Symptomatic Malaria InfectionDouglas, Ibrahim; Abisoye, Opeyemi Aderiike; Abisoye, Blessing Olatunde; Elisha, Richard
2017Symptomatic and Climatic Based Malaria Threat Detection using Multilevel Thresholding Feed-Forward Neural Network.Abisoye, Opeyemi Aderiike; Jimoh, Rasheed
2018Classification and Feature Selection of Symptomatic and Climatic based Malaria Parasite Counts Using Support Vector MachineJimoh, R.G.; Abisoye, Opeyemi Aderiike; Uthman, M.M.B.
2018A SURVEY OF FACTORS AFFECTING SYMPTOMATIC AND CLIMATIC BASED MALARIA PARASITE COUNTSAbisoye, Opeyemi Aderiike; Jimoh, R.G.
2015A HYBRID INTELLIGENT FORECASTING MODEL TO DETERMINE MALARIA TRANSMISSIONAbisoye, Opeyemi Aderiike; Jimoh, R.G.
2018Comparative Study on the Prediction of Symptomatic and Climatic based Malaria Parasite Counts Using Machine Learning ModelsAbisoye, Opeyemi Aderiike; Rasheed, Jimoh G.
2019A COMPUTER BASED APPROACH FOR THE PREDICTION OF MULTICLASS SYMPTOMATIC MALARIA INFECTIONDoughlas, Ibrahim; Abisoye, Opeyemi Aderiike; Abisoye, Blessing; Elisha, Richard
2017TOWARDS CLASSIFICATION OF SYMPTOMATIC AND CLIMATIC BASED MALARIA PARASITE-COUNTJimoh, Rasheed G.; Abisoye, Opeyemi Aderiike
2017A Machine Learning Based Approach for the Management of Typhoid and Malaria InfectionAbisoye, Opeyemi Aderiike; Doughlas, Ibrahim; Abisoye, Blessing Olatunde

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