10 10 185 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Content-Based Spam Classification of Academic E-mails: A Machine Learning Approach Creator An entity primarily responsible for making the resource Wahab Abdul Iddrisu, Sylvester Kwasi Adjei-Gyabaa, Isaac Akoto Description An account of the resource In the academic environment, players have overstretched University faculty with less available time. The task of reading and deleting electronic mail (e-mail) spam tends to consume or steal the little available time they have at their disposal. Due to the spam issue, automated processes or methods for separating spam from valid emails are becoming important. Due to the unstructured nature of the material, additional features, and a vast number of documents, the process of automatically classifying spam email presents significant difficulties. Increasing usage of the e-mail spam directly affects the performance of these spam classifications with regards to the quality and speed based on the challenges stated above. Most of the recent algorithms consider only relevant features or characteristics for the classification of the e-mails as spam or legitimate. The main objective of this work was to use a machine-learning … Publisher An entity responsible for making the resource available Springer Nature Singapore Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:ufrVoPGSRksC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/93705fce8d8c773c387a83a2aa8e92d1.pdf 39c2a0bd5f34834dfaa7b532213263db Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the success of Ghanaian public road construction projects Creator An entity primarily responsible for making the resource Humphery Danso, Chelteau Barajei, A Nongiba Kheni, Emmanuel Appiah-Kubi, A Wahab Iddrisu Description An account of the resource The objective of this research paper is to determine the critical success factors (CSFs) influencing the success of public road construction projects from the perspective of a developing nation. A self-administered questionnaire was used to gather data on the extent to which critical success factors gathered from literature impact the success of public road construction projects from sector practitioners’ perspectives in Ghana. The data was then analysed using factor analysis. The study revealed that external environmental factors have the highest influence (46.23%) on public road construction project success, followed by project management factors (12.25%) while procurement-related factors have the least impact (6.97%). Public construction project management organisations and the government will now have a deeper understanding of CSFs that influence the success of public construction projects and use them … Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:qUcmZB5y_30C Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Principal Component Analysis to Identify Latent Factors Influencing Ghanaian Irrigation Project Abandonment Creator An entity primarily responsible for making the resource Chelteau Barajei, Emmanuel Adinyira, Ebenezer Boakye, Clinton Aigbavboa, Abdul Wahab Iddrisu Description An account of the resource Despite the investments and efforts to develop irrigation systems, many irrigation projects in Ghana are not working up to design expectations, whilst others have been abandoned altogether. To address this, factors influencing the abandonment of small-scale irrigation schemes in Ghana were interrogated. The study employed the quantitative approach to gather data from key stakeholders. Of the 170 questionnaires distributed, 125 responses were retrieved and analysed using factor analysis. The study revealed that 12 factors influence the abandonment of small-scale irrigation projects and subsequently grouped them into institutional, social, construction, and economic factors. Social factors had the most significant influence (28.68%), followed by economic factors (22.10%), and construction factors (18.88%), with institutional factors having the least impact (10.79%). This is the first study to identify factors … Publisher An entity responsible for making the resource available Springer Nature Switzerland Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:eQOLeE2rZwMC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/9032a5106669a287ed18a008b46da940.pdf ef08af1342148ba6733c0f9f0734cf8d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Joint modeling of longitudinal CD4 count data and time to first occurrence of composite outcome Creator An entity primarily responsible for making the resource Abdul-Karim Iddrisu, Wahab Abdul Iddrisu, Abu Sambor Gambedu Azomyan, Freedom Gumedze Description An account of the resource In this study, we jointly modeled longitudinal CD4 count data and survival outcome (time-to-first occurrence of composite outcome of death, cardiac tamponade or constriction) in other to investigate the effects of Mycobacterium indicus pranii immunotherapy and the CD4 count measurements on the hazard of the composite outcome among patients with HIV and tuberculous (TB) pericarditis. In this joint modeling framework, the models for longitudinal and the survival data are linked by an association structure. The association structure represents the hazard of the event for 1-unit increase in the longitudinal measurement. Models fitting and parameter estimation were carried out using R version 4.2.3. The association structure that represents the strength of the association between the hazard for an event at time point j and the area under the longitudinal trajectory up to the same time j provides the best fit. We found … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:4TOpqqG69KYC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/34308de63d1fd093d6a4b7bac9d70d46.pdf 5bc08640d6b8964cdf468a7a16a7df92 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spatio-Temporal Modelling of COVID-19 Dynamics in Africa Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul Description An account of the resource Since the outbreak of COVID-19 in China, in December 2019, almost no country in the world has been spared the devastation caused by the pandemic. In this paper, I model and analyze the trend of COVID-19 in Africa along space and time, in order to provide accurate and reliable predictions of the dynamics of the disease in Africa. Data on daily confirmed cases of COVID-19 for fiftytwo countries in Africa from February 14, 2020 to December 04, 2020 were obtained from “Our World in Data”(OWID). A model that captures space-time dependence was fitted to the data and used for analysis. The results indicate that the second wave of the pandemic in Africa is yet to reach its peak. The results also indicate that countries in Africa have been affected by the disease to a very heterogeneous extent during this period. It was also observed that the average reproduction of the disease within countries in Africa, which is known as the autoregressive effect was about 0.46 while the neighbourhood effect, which is the transmission of the disease from adjacent countries, was quite negligible. The seasonality-adjusted factor which indicates how the basic endemic incidence increases per day was observed to be about 1.23 while the epidemic proportion of the disease incidence in Africa was found to be 46%. These findings, indicating where and when the incidence of the disease will be high may be useful for public health decisionmaking, as they provide time to intervene on the local public health systems. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:UeHWp8X0CEIC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/4b350421ee2352b59efcecda3aeba34c.pdf 0ea7b6e83b0d39621f457a128d281c25 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling the effects of bile and nutrients on microbes and the evolution of temperature, electrical conductivity, surface tension and pH during biodegradation of used engine … Creator An entity primarily responsible for making the resource Imoro Abubakari Zarouk, Iddrisu Wahab Abdul, Abubakari Issah Description An account of the resource At five levels of Bile (No bile, 1.2 ml, 1.4 ml, 1.6 ml and 1.8 ml) and two nutrient levels (Nutrient medium and No Nutrients) the effect of Bile and Nutrients on microbes and the evolution of temperature, electrical conductivity, surface tension and pH were studied and modeled during the bioremediation of a petroleum hydrocarbon contaminated water. Analysis of variance (ANOVA) for α= 0.05 was used to show the variations in parameter values according to the levels of Bile and Nutrients. Microbial colony numbers and pH generally did not show a uniform evolution trend as the level of Bile increased but showed an increasing trend with increment in Nutrients level. Temperature increased with increasing Bile and Nutrients levels only when either Bile or Nutrients Medium was the lone supplement in the experiment. Electrical conductivity increased with increasing levels of Bile whiles surface tension decreased with increasing levels of Bile and Publisher An entity responsible for making the resource available J Environ Earth Sci Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:YsMSGLbcyi4C Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Item Response Theory to Understand Item-Nonresponse (Missing Data) in Ghanaian Surveys Creator An entity primarily responsible for making the resource Abdul Iddrisu Wahab Description An account of the resource After reviewing the theoretical and empirical literature on Item Response Theory (IRT) and Item-Nonresponse, this study investigates three issues: Firstly, to identify the most appropriate IRT model for understanding item-nonresponse. Secondly, to find out the reason behind ''don't know'' responses and missing data; whether respondents don‟t really know, don‟t care, or don‟t want to tell. Finally, to find out the characteristics of nonrespondents in Ghanaian surveys. Secondary analyses were done on questionnaire data collected in the 5th wave of the world values survey. All items were dichotomously scored. 0 was assigned to missing or „don‟t know‟ responses, and 1 was assigned to answered items. The data was analysed based on four item response theory models namely, the constrained Rasch model, the unconstrained Rasch model, the two parameter logistic model, and the three parameter logistic model … Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:LkGwnXOMwfcC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/1ec08497a6425d11bd063e78029d50ca.pdf 1885b4123be2b27796e71729f5d3b892 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spatial bayesian methods of flow forecasting in the Black Volta river Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Kaku Sagary Nokoe, Frank Badu Osei, Eric Ofosu Antwi Description An account of the resource The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant. Publisher An entity responsible for making the resource available European journal of scientific research Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:MXK_kJrjxJIC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/ff6943f27948debd28ea253c8d99cefd.pdf 16f6c080b109c47234c345b6108a6eab Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessment of COVID-19’s impact on hotels in Ghana: Case study of hotels in Accra and Kumasi Creator An entity primarily responsible for making the resource Deri Mildred Nuong, Iddrisu Wahab Abdul, Wireko-Gyeib Sampson, Zaazie Perpetual, Mohammad Faiz Afzal Description An account of the resource The spread of COVID-19, travel restrictions and social distancing continue to affect the hotel industry globally. Using Accra and Kumasi metropolis, the aim of the study is to assess the impact of the COVID-19 on hotels in Ghana. The Survey technique is used. Data was collected from 80 hotel managers using questionnaires. Paired sample t-test was used to compare the average number of employees before COVID-19 and the average number of employees presently at post. Analysis of variance (ANOVA) was used to compare the different levels of impact on the different types of hotels in the country. The major findings are indicated about employees from different hotels on total number of employees before and during COVID-19. Moreover, results also highlighted on the negative impact on Ghana’s hotel industry due to this pandemic spread globally. Implications are discussed. Publisher An entity responsible for making the resource available International Journal of Tourism and Hotel Management Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:_kc_bZDykSQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/b2347ebc0f9039ca43c9958c1cd35403.pdf 4a5cb5477de451eab69ebf4337951596 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling the Impact and Effects of Climatic Variability on Electricity Energy Consumption in the Yendi Municipality of Ghana Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Sampson T Appiah, Khalid Abdul-Mumin, Abdul-Rahman Abdul-Samed Description An account of the resource One of the cherished assets of every economy is electricity since it has proven to be the major source of energy for industrialization. Developing economies like Ghana have suffered the downside of poor management of the already inadequate electrical energy at its disposal. This is as a result of limited research into factors that influences electricity energy consumption, most importantly, the effects of climatic variables on electricity energy consumption. This research work explores the causal connection between climatic variables and electricity energy consumption, and develops a Vector Auto Regression (VAR) model to determine the influence of the climatic variables in forecasting electricity energy consumption in Yendi Municipality in the northern region of Ghana. The climatic factors considered in this work are; Rainfall (Rain), maximum temperature (Tmax), Sunshine (Sun), Wind (wind) and Relative Humidity (RH). The Granger causality tests employed in this work revealed that aside from Relative Humidity, the end energy consumption is affected by the other four climatic factors under consideration. The impulse response was used to ascertain the active interaction among electricity energy consumption and the climatic variables. The impulse response of electricity energy consumption to the climatic variables indicates a maximum positive effect of Temperature and Sunshine on electricity energy consumption in March and September respectively. The VAR model was also used in forecasting future consumption of electricity energy. The results indicate excellent forecasts of electricity Publisher An entity responsible for making the resource available Scientific Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:0EnyYjriUFMC Language A language of the resource English