103 10 3070 https://repository.gctu.edu.gh/files/original/618ebec1600155fb9b3259eebe23648e.pdf d650c5cc548edb478a4f9f3ea93bc08f 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 Economic and reliability determination of sustainable renewable energy mix based on social spider prey optimization algorithm Creator An entity primarily responsible for making the resource Samuel Ofori Frimpong, Israel Edem Agbehadji, Abdultaofeek Abayomi, Richard C Millham, Emmanuel Freeman, Martin Mabeifam Ujakpa Description An account of the resource Resolving the power crises requires the combination of different individual renewable energy sources so that one source can compensate for another. Unfortunately, renewable energy sources are not always available at certain times making their use problematic. To solve this uncertainty, it is important to combine independent renewable energy sources and determine the right set of the renewable energy mix that is economical and reliable. The sources of renewable energy data are solar PV, wind, battery, and biomass. Different scenarios of renewable energy mix or combination considered are wind–biomass–battery, solar PV–wind–biomass, PV–biomass–battery, and solar PV–wind–biomass–battery. Knowing the economic and reliable impact of these combinations helps to make the best investment decision. The nature-inspired optimization is utilized as the methodology to determine the feasible dimension … Publisher An entity responsible for making the resource available Springer Berlin Heidelberg 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=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:KlAtU1dfN6UC Language A language of the resource English https://repository.gctu.edu.gh/files/original/13b6febb80ee72c3b1c49e80d2855151.pdf 613ffeb36355cb108b46e398b9b7ab3f 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 Modeling total quality management framework for higher education institutions in Ghana Creator An entity primarily responsible for making the resource Nusrat-Jahan Abubakar, Emmanuel Freeman, Kennedy Fosu Oppong Description An account of the resource The aim of this study is to model an appropriate Total Quality Management (TQM) framework for Higher Education Institutions (HEIs) in developed and developing countries particularly Ghana. The driving force for this study is the low-quality standards that most public universities in Ghana have compromised over the past years. However, they are known as the best standards for most private institutions. This situation called for the need for the researchers to embark on this study. Empirical studies of TQM and TQM frameworks in HEIs was conducted. The study employed both qualitative and quantitative analysis. The case study design was also used to describe and access the phenomenon. Purposive sampling technique was used to select fifteen (15) Quality Assurance Officials from three public HEIs in Ghana. A sample size of 400 respondents were used for the analysis of the quantitative data. The qualitative … Publisher An entity responsible for making the resource available IEEE Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:zYLM7Y9cAGgC Language A language of the resource English https://repository.gctu.edu.gh/files/original/afeb6f2c59b5ffeb357428a119abca8f.pdf d2535258d0504c214763ab53153edbbd 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 IT Business 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 Bank Brand Avoidance: Service Perspectives from Nigeria and Ghana Creator An entity primarily responsible for making the resource Robert Ebo Hinson Description An account of the resource Brands are important for both consumers and frms. While strong brands bring fnancial benefts to frms and help them diferentiate themselves from competing products, it also gives assurance to consumers and helps assuage the tension involved in making a purchase decision (Keller, 2001). Brands are also essential for the success of service frms (Berry, 2000). However, service branding is complicated due to its intangibility (Berry, Publisher An entity responsible for making the resource available Te Author(s), under exclusive license to Springer Nature Switzerland AG Date A point or period of time associated with an event in the lifecycle of the resource 2022 Source A related resource from which the described resource is derived https://www.researchgate.net/profile/Varsha-Jain-6/publication/360369229_Leveraging_Digital_Marketing_and_Integrated_Marketing_Communications_for_Brand_Building_in_Emerging_Markets/links/6490186795bbbe0c6ed8cf19/Leveraging-Digital-Marketing-and-Integrated-Marketing-Communications-for-Brand-Building-in-Emerging-Markets.pdf#page=78 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 Nature-inspired algorithms and smart city applications Creator An entity primarily responsible for making the resource Richard C Millham, Israel Edem Agbehadji, Emmanuel Freeman Description An account of the resource The paradigm of the fourth industrial revolution has presented a unique opportunity to interconnect the cyber-physical space. The objective of this interconnection is to encourage the fusion of technologies from physical, digital, and biological spheres to encourage digitization of resources ranging from building, cars, hospital, schools, energy, and many more. It is expected that such resources can make independent decisions on their state to avoid human intervention in monitoring the state of these resources which have their direct and indirect cost implication. Having an intelligent resource monitoring regime forms the underlying structure of cyber-physical space. In this article, the authors focus on the future of integrated nature-inspired algorithms in helping create an optimized resource monitoring regime towards the smart city applications. Publisher An entity responsible for making the resource available IGI Global Scientific Publishing 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://resources.igi-global.com/chapter/nature-inspired-algorithms-and-smart-city-applications/317664 Language A language of the resource English https://repository.gctu.edu.gh/files/original/5825c459ccfd72cdcdaf621996290226.pdf e11c1640a400bbb81855be4605d3e366 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 Saving the planet: An Assessment of green computing practice among tertiary institutions in Ghana Creator An entity primarily responsible for making the resource EMMANUEL Freeman Description An account of the resource This study assesses the current state of adoption and practice of Green Computing among Ghana Tertiary Institutions. The driving force for this investigation includes issues of conducive academic environment and humanity, energy conservation, disposal, and recycling of electronic devices in tertiary institutions. To achieve this, both quantitative and qualitative methods are used to capture data for the findings and analysis. Data were collected from a sample of 200 computer users of faculty members, administrative staffs and students among five selected Universities and Polytechnics Analysis of the study has shed light on the levels of green computing knowledge and practice possessed by computer users. The scenario that emerged from the findings is less than desirable. Given the importance of green computing awareness, knowledge, practice and adoption, it is recommended that academic institutions and government agencies to take the first step in educating the public, regarding the" underlying principles and practice" of green computing. The general impression from the study is that, computer users in the selected schools generally have either low levels of green computing habits and practices or none at all. Also, the institutions have made very little effort to accept the practice in their schools. This is as a result of the facts that, the awareness of Green IT in most institutions and the practices among individuals are not in place; hence a lot of people are ignorant about this new development of technology. 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=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:d1gkVwhDpl0C https://repository.gctu.edu.gh/files/original/4bfa73336b1eea9964ced17a46348b92.pdf 49c3f4108adf641ef5938029e08d00c6 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 Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … 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=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://repository.gctu.edu.gh/files/original/24fb3be8167e87616091065032e0e6a7.pdf d2535258d0504c214763ab53153edbbd 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 IT Business 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 Emerging challenges, opportunities, and agenda for research, practice, and policy on marketing and brand communications of higher education institutions in Africa Creator An entity primarily responsible for making the resource Robert Ebo Hinson Description An account of the resource The higher education landscape is changing. The global competition for students’ enrolments has increased around the world. Universities are competing within their home market as well as in the international market. As government funding for public universities is reducing, there is pressure on universities to seek additional income by increasing their student enrolment. Attracting and enrolling students has become increasingly more challenging, as student behaviour is changing. These challenges present the need for higher education institutions to be more strategic in their approach to reaching out to prospective students. This concluding chapter on strategic marketing of higher education in Africa presents practical implications and critical insights into strategic marketing and brand communications of higher education institutions in Africa. Agenda for future research were also provided. It is anticipated that this will shape further discussion and theoretical advancement which will be relevant for scholars, students, managers, practitioners, and policymakers in the field of higher education marketing. Source A related resource from which the described resource is derived https://gala.gre.ac.uk/id/eprint/26173/7/26173%20MOGAJI_Brand_Communications_Of_Higher_Education_Institutions_In_Africa_%28AAM%29_2019.pdf Language A language of the resource Engkish https://repository.gctu.edu.gh/files/original/002a289a5a1837673e1aa7e6788a7a67.pdf cd39d148949ab373ba8036cd5438eb18 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 Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … 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=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://repository.gctu.edu.gh/files/original/b0b7b02322838bbfd0237add7b99664d.pdf 5aee69b384f4a5c48543d2d49a5a5ec7 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 Effects of capital structure choice on profitability of oil marketing companies in Ghana (OMCs): case studies of Ghana Oil Company limited and total petroleum Ghana limited Creator An entity primarily responsible for making the resource Patrick Baah-Acquah, Emmanuel Freeman, Ebenezer Perry Ellis Description An account of the resource Capital structure is actually a mix of different securities. The importance of capital structure cannot be over emphasized since it impacts on firm’s value. Capital structure choices have had significant impacts on shareholders wealth. The study investigated the impact of capital structure on the profitability of Oil Marketing Companies (OMC’s). With regards to the firm’s capital structure, the study employed short-term debt to total capital, long-term debt to total capital and total debt to total capital in comparison with return on assets (ROA), return on equity (ROE) and net profit margin (NPM). The study employed secondary data and the data was analysed using multiple regressions. The result reveals that short term debt to total capital, long term debt to total capital, total debt to total capital, firm size, and sales growth, have varying and mixed relationships with profitability in terms of return on asset, and return on equity of the Oil Marketing Companies (OMC’s). The study recommend that companies implement due diligence in considering debt financing decisions, to come out with the best possible financing blend which will maximize profitability for their companies. Publisher An entity responsible for making the resource available International Journal of Multidisciplinary Research and Development Date A point or period of time associated with an event in the lifecycle of the resource 2017 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:qjMakFHDy7sC Language A language of the resource English https://repository.gctu.edu.gh/files/original/abfacc3cd826dd33310f09a59b481d1c.pdf 495a3f34e2434fcca1f7e9f9d386c431 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 Nature-Inspired search method and custom waste object detection and classification model for smart waste bin Creator An entity primarily responsible for making the resource Israel Edem Agbehadji, Abdultaofeek Abayomi, Khac-Hoai Nam Bui, Richard C Millham, Emmanuel Freeman Description An account of the resource Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate sorting of solid waste at the point of collection and the attendant impact on waste management process is the motivation for this study. The South African University of Technology (SAUoT) is used as a case study because solid waste management is an aspect where SAUoT is exerting an impact by leveraging emerging technologies. In this article, a convolutional neural network (CNN) based model called You-Only-Look-Once (YOLO) is employed as the object detection algorithm to facilitate the classification of waste according to various categories at the point of waste collection. Additionally, a nature-inspired search method is used as learning rate for the CNN model. The custom YOLO model was developed for waste object detection, trained with different weights and backbones, namely darknet53.conv.74, darknet19_448.conv.23, Yolov4.conv.137 and Yolov4-tiny.conv.29, respectively, for Yolov3, Yolov3-tiny, Yolov4 and Yolov4-tiny models. Eight (8) classes of waste and a total of 3171 waste images are used. The performance of YOLO models is considered in terms of accuracy of prediction (Average Precision—AP) and speed of prediction measured in milliseconds. A lower loss value out of a percentage shows a higher performance of prediction and a lower value on speed of prediction. The results of the experiment show that Yolov3 has better accuracy of prediction as compared with Yolov3-tiny … Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2022 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:MXK_kJrjxJIC Language A language of the resource English