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Big Data Mining and Analytics 2023年第4期6卷 I0001-I0002页

作者： Yousef Farhaoui Stephen Ojo lateef adesola akinyemi Agbotiname Lucky Imoize Faculty of Sciences and Technic Moulay Ismail UniversityMorocco. College of Engineering Anderson UniversityUSA. Faculty of Engineering Lagos State UniversityNigeria. Institute of Digital Communication Ruhr UniversityGermany.

In the current scenario,information technology is taking maximum benefits from the“Intelligent Systems and Internet of Things(IoT)”.In order to get quality articles,we have circulated the call for papers to the researchers and academician and received numbers of quality ***,due to scope of special issue and review reports,we were able to add papers in this *** guest editors are thankful to the authors for supporting a long wait and finally it is before *** aim of the special issue was to explore ample knowledge and submit some good pieces of papers for Big Data Mining and *** have received many papers for this special issue and based on the comments of the reviewers and quality of the research papers,we have identified 7 articles for this special *** special issue is addressing the original research on the theory,“Intelligent Systems and Internet of Things”,with the aim to contribute better work to the researcher and academic *** are very much thankful to the authors for their support and for keeping their faith in our guest editorial *** takes more than a year to complete this issue,we are sure that their work will be well recognized by the researchers and readers who are working in engineering and informatics domain.

关键词： thank submit finally

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Call for Papers Special Issue on Artificial Intelligence Powered Internet of Healthcare Things(IoHT):Data Science,Emerging Trends and Applications

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Big Data Mining and Analytics 2022年第2期5卷 161-161页

作者： Yousef FARHAOUI Stephen Ojo lateef adesola akinyemi Agbotiname Lucky Imoize FST Moulay Ismail University College of Engineering Anderson University Faculty of Engineering Lagos State University Institute of Digital Communication Ruhr UniversityGermany

The Internet of Things(IoT)is one of the most prominent technologies emerged in recent *** has a broad spectrum of applications in diverse *** IoT is evolving as a significant area of future technology and gaining much attention from various walks of *** has revolutionized various application domains,such as home automation,industrial automation,medical aids,mobile healthcare,elderly assistance,intelligent energy management and smart grids,automotive,traffic management,and many *** applications will make use of the potentially enormous amount and variety of data generated by such objects to provide new services to citizens,companies,and public administrations.

关键词： IoT companies services

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Population Density, Diversity and Abundance of Antelope Species in Kainji Lake National Park, Nigeria

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Open Journal of Ecology 2019年第4期9卷 107-116页

作者： Olajesu Sunday Oladipo akinyemi Abiodun Folorunso lateef Funmilayo Lewiska Lameed Gbolagade Akeem Department of Wildlife and Ecotourism Management Faculty of Agriculture and Forestry University of Ibadan Oyo State Nigeria

Habitat degradation and fragmentation are eating deep into conservation areas and this is a serious threat to species diversity and abundance. Species like the antelopes have a sedentary and docile nature which makes them highly vulnerable to habitat degradation or human intrusion. The effect becomes complex as the remaining flora and fauna communities can be significantly impacted by changes in ecosystem structure and function. Population density, diversity and abundance of fauna species will either increase or decrease over time depending on the quality of the environment/habitat and the level of human interference or disturbance. Hence an updated checklist of species diversity and abundance is necessary to enable management and other stakeholders make pragmatic plans and policy towards sustainable species conservation. With the aid of a Global Positioning System (GPS), a 5 km transect was established per site and censured for Antelope species using the King Census method of enumeration. Descriptive statistics and ANOVA was used to analyze the data. Seven (7) species of Antelopes were recorded. Kobs (Kobus kob) were the most abundant (2019), while Reedbuck (Redunca redunca) was the least abundant with twenty-five (25) individuals. Kob is the most observed species in Oli Complex with 24.13%, ranking about 50% of kob in proportion. This was followed by roan antelope (Hippotragus equinus), and Red Flanked duiker, 4.02% and 3.63% respectively. Kobs had the highest density of 40.38 per square km followed by roan antelope (3.32) and RF duiker (2.36). Relative density followed a similar trend. The least encounter rate was observed in Sylvicapra grimmia (0.02) and increse further to Hippotragus equinus (0.4), Redunca redunca (0.06) and Alcelaphus buselaphus (0.09) respectively. It was low amongst Tragelaphus scriptus (0.2), and moderate, while it was very high amongst the kobs (5.0). The rate of encountering an antelope in the park is very high at a rate of 6.2 animals pe

关键词： Kainji Lake National Park Antelopes Density Diversity Abundance

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