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IET Cyber-Systems and Robotics 2021年第3期3卷 228-244页

作者： Ejay Nsugbe Oluwarotimi William Samuel ibrahim sanusi Mojisola Grace Asogbon Guanglin Li Nsugbe Research Labs SwindonUK Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences ShenzhenChina Department of Automatic Control and Systems Engineering The University of SheffieldSheffieldUK

Preterm births have been seen to have psychological and financial implications;current surveys suggest that amongst the various methods of preterm prediction,there is yet to exist a reliable and standard means of predicting preterm *** study investigates the application of electrohysterogram and tocogram signals acquired at various points during the third pregnancy trimester,alongside information from the patients'medical health record regarding the pregnancy,towards preterm prediction and an associated delivery imminency *** addition to this,the impact of both linear and non-linear dimensional embedding methods towards the preterm prediction is *** classification exercises were carried out using a support vector machine and decision tree,both of which have a certain degree of model interpretability and have potential to be introduced into a clinical operating framework.

关键词： cybernetics decision-making decision-tree classifier machine intelligence machine learning sensor fusion

Community-level survey of coronavirus disease 2019 (COVID-19) preventive measures in Kwara State, Nigeria: good knowledge vs poor attitude

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Global Health Journal 2022年第3期6卷 168-173页

作者： Nusirat Elelu Olaolu Bilewu Fatima sanusi Ahmad ibrahim Al-Mustapha Department of Veterinary Public Health and Preventive Medicine Faculty of Veterinary MedicineUniversity of IlorinIlorinKwara State 240003Nigeria Department of Public Health Sciences Faculty of Basic SciencesKwara State UniversityMaleteKwara State 241104Nigeria Department of Veterinary Physiology and Biochemistry Faculty of Veterinary MedicineUniversity of IlorinIlorinKwara State 240003Nigeria Department of Veterinary Sciences Kwara State Ministry of Agriculture and Rural DevelopmentIlorinKwara State 240103Nigeria Department of Veterinary Public Health and Preventive Medicine Faculty of Veterinary MedicineUniversity of IbadanIbadanOyo State 200005Nigeria Department of Food Hygiene and Environmental Health Faculty of Veterinary MedicineUniversity of HelsinkiHelsinki 00710Finland

Background:The public knowledge and adherence to the established coronavirus disease 2019(COVID-19)precautionary measures are crucial to Nigeria’s war against the *** health education on its preventive practices at the grassroots level was initially crucial to achieving a lower COVID-19 incidence in Kwara State,***:We assessed the knowledge of,and adherence to COVID-19 precautionary measures at the community level among 795 respondents from the three senatorial zones of Kwara ***:54.5%(433/795)of the respondents were aged between 21 and 40 years,and 45.9%(365/795)of the respondents had a bachelor’s degree or *** participants had a good knowledge of COVID-19,its symptoms,and its mode of transmission.91.8%of the respondents(730/795)had a positive perception of the COVID19 preventive measures while 96.1%(763/795)of the respondents agreed that maintaining social distance was important in curbing the COVID-19 ***,only 38%(302/795)of them used face masks and only 25.7%(204/795)of the respondents used hand *** addition,only 31.9%(253/795)of the respondents isolated themselves when they were ***-variable logistic regression analysis revealed that education,occupation,gender,and ethnicity were significantly associated with positive COVID-19 preventive practices among residents of Kwara *** servants were more likely(AOR:3.14;95%confidence interval[CI]:0.67 to 14.82;P=0.034)to have positive preventive attitudes than other *** participants with tertiary education and those that were Yoruba(ethnicity)were 14.81 times more likely(95%CI:4.29 to 51.05;P=0.001)and 5.19 times more likely(95%CI:1.82 to 14.84;P=0.007)to have positive attitudes towards the laid-down COVID-19 preventive measures ***:The poor community adherence to the COVID-19 preventive practices could pre-dispose Kwara to more COVID-19 *** community engagement activities are needed to fully curb the

关键词： Coronavirus disease 2019(COVID-19) Community engagement Non-pharmaceutical interventions Kwara State Nigeria

Data Mining in Electronic Commerce: Benefits and Challenges

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International Journal of Communications, Network and System Sciences 2015年第12期8卷 501-509页

作者： Mustapha Ismail Mohammed Mansur ibrahim Zayyan Mahmoud sanusi Muesser Nat Management Information Systems Department Cyprus International University Haspolat Lefkosa via Mersin Turkey

Huge volume of structured and unstructured data which is called big data, nowadays, provides opportunities for companies especially those that use electronic commerce (e-commerce). The data is collected from customer’s internal processes, vendors, markets and business environment. This paper presents a data mining (DM) process for e-commerce including the three common algorithms: association, clustering and prediction. It also highlights some of the benefits of DM to e-commerce companies in terms of merchandise planning, sale forecasting, basket analysis, customer relationship management and market segmentation which can be achieved with the three data mining algorithms. The main aim of this paper is to review the application of data mining in e-commerce by focusing on structured and unstructured data collected thorough various resources and cloud computing services in order to justify the importance of data mining. Moreover, this study evaluates certain challenges of data mining like spider identification, data transformations and making data model comprehensible to business users. Other challenges which are supporting the slow changing dimensions of data, making the data transformation and model building accessible to business users are also evaluated. A clear guide to e-commerce companies sitting on huge volume of data to easily manipulate the data for business improvement which in return will place them highly competitive among their competitors is also provided in this paper.

关键词： Data Mining Big Data E-Commerce Cloud Computing

Design parameters for a small-scale batch in-bin maize dryer

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Agricultural Sciences 2013年第5期4卷 90-95页

作者： Fashina Adepoju Bola. Akande Fatai Bukola. ibrahim Saula Olanrewaju sanusi Bashir Adisa Agricultural Engineering Department Ladoke Akintola University of Technology Ogbomoso Oyo State Agricultural Engineering Department The Polytechnic Ibadan Oyo State

Early season maize is harvested with high moisture content that makes it impossible to store. The sale of early season maize in green form is uneconomical to the farmer. Experience had shown that farmers could hardly make the cost of production from their sales. Also, grain losses are high when maize is harvested green. To minimize grain losses and thereby increase value and the profit margin of the farmer, a grain dryer is necessary for wet grains. Therefore, this paper presents the design and development of a batch in-bin maize grain dryer. Some properties of maize such as moisture content and bulk density were determined to get information required for design of the dryer. The dimension of drying chamber, amount of moisture to be removed in a batch, quantity of air required to effect drying, volume of air required to effect drying, blower capacity, quantity of heat required to effect drying and actual heat used to effect drying were all designed for. A maize dryer was developed with a batch size of100 kg of threshed wet maize. The dryer can be used in laboratory for experimental purpose as well as on the farm for commercial purposes. The dryer can be used to measure drying rates of maize at different initial moisture contents, drying air temperatures, drying air velocities and grain beds. The effects of different drying temperature, air velocity, loading and agitating speed on the quality of dried maize can be investigated with the dryer.

关键词： Design and Development In-bin Maize dryer Fresh Maize Grain Moisture Content Heat Transfer Drying Rate