Titlebook: International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020); Emerging Application Jemal H. Abawajy,Kim-

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Collins N. Udanor,Agozie H. Eneh,Stella-Maris I. Orims, and tips on troubleshooting and avoiding known pitfalls.Comprehensive and authoritative, Drug Safety Evaluation: Methods and Protocols serves as an ideal guide to this field, helpful to pharmaceutical scient978-1-4939-5669-2978-1-60761-849-2Series ISSN 1064-3745 Series E-ISSN 1940-6029

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Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classific rate BP algorithms are compared with traditional algorithms. Particularly, diabetes and cancer benchmark classification problems datasets are used. From the analyses results it show that proposed algorithm shows high efficiency and enhanced performance of the BP algorithm.

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Data Sampling-Based Feature Selection Framework for Software Defect Prediction,classifiers on defects dataset from NASA repository. The experimental results showed that the proposed framework outperformed other experimental methods. The high accuracy (83.84%) and AUC (0.90) values of the proposed framework indicates its ability to differentiate between the defective and non-de

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Application of K-Nearest Neighbor Algorithm for Prediction of Television Advertisement Rating,ed for the classification of television advertising ratings. The results of this study can provide one of the options for advertising companies to provide offers related to the prediction of television ratings to advertisers as one of the considerations in choosing a television station.

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An Evaluation of the Frameworks for Predicting COVID-19 in Nigeria Using Time Series Data Analyticsks to evaluate the appropriateness and effectiveness of relevant models e.g. SIR (Susceptible, Infective, Recovered) model in predicting the spread of nCov-19 using live time-series data while making Nigeria a case study. Results from the prediction suggest that, like many other countries, Nigeria h

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Multi-objective Wrapper-Based Feature Selection Using Binary Cuckoo Optimisation Algorithm: A Compae use of non-dominated sorting genetic algorithms, along with binary cuckoo optimisation algorithm, BCOA (BCOA-NSGA3). The results show that the proposed methods exhibit promising results and can successfully develops a set of non-dominated solutions with a reduced error rate and less computational

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