97 10 3070 https://repository.gctu.edu.gh/files/original/db6e2ce6febd4afd6e82bfb0b41ab3e7.pdf 9a7a09c1d07c8d013817b39532994ff6 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 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 HIV/AIDS scourge and economic growth in sub-Sahara Africa Creator An entity primarily responsible for making the resource S Twumasi-Ankrah, JT Ashaolu, Isaac Ankrah Description An account of the resource This study examines the impact of HIV/AIDS scourge on economic growth of some selected Sub-Sahara African countries. The three sub-Sahara African regions (Southern, West and Eastern) are categorized into lowest and highest HIV prevalence rate, using the global report of the UNAIDS 2012 data. In each region, the lowest and the highest HIV prevalence rate countries are selected respectively. Thus, we consider a panel of three countries in each category over a period from 1995–2012. We used these data to estimate the cross-country level regressions of these two categories, using panel data models. Thus, our results are in twofold: For lowest HIV prevalence rate category, the pooled OLS model was the “best” model. This pooled OLS model indicated that, for one unit increase in HIV prevalence rate, the gross domestic product per capita of countries is expected to decrease by US $23.46, holding all other variables constant. Again for highest HIV prevalence rate category, the fixed effect model was the “best” model. The fixed effect model revealed that, one unit increase in HIV prevalence rate will cause the gross domestic product per capita of countries to decrease by US $9.98, holding all other variables constant. Generally, for a unit increase in HIV prevalence rate, the impact of HIV on the economy is two-thirds larger in lowest HIV prevalence rate countries than that of the highest HIV prevalence rate countries. Publisher An entity responsible for making the resource available Universal Journal of Public Health Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=qSyX_i8AAAAJ&citation_for_view=qSyX_i8AAAAJ:d1gkVwhDpl0C Language A language of the resource English https://repository.gctu.edu.gh/files/original/bae4121a9e48a30bdd1bd4404a8d1fd9.pdf 7ff0f08de31bad1163b280533a4a63ea 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 Investigating Dense Cnn Architectures: A Case Study of Facial Emotional Recognition Systems Creator An entity primarily responsible for making the resource Emmanuel Kyei, Peter Appiahene, Mighty Abra Ayidzoe, Obed Appiah, Justice Asare, Emmanuel Freeman, William Brown-Acquaye Description An account of the resource In recent years, Facial Emotional Recognition (FER) has garnered significant attention for its pivotal role across various applications, including human-computer interaction, healthcare, and sentiment analysis. This study is motivated by the need to enhance the accuracy and efficiency of FER systems, with a particular focus on leveraging Convolutional Neural Networks (CNNs) featuring dense architectures. Charles Darwin's groundbreaking work on facial expressions as indicators of human emotional states inspires this research, which aims to elevate FER systems for applications spanning therapy, human-machine interactions, and diverse domains like healthcare, education, and entertainment. While previous studies have recognized CNNs' ability to improve FER accuracy through intricate feature extraction, the evolving nature of the field calls for exploring novel CNN architectures and techniques to further enhance precision and efficiency. In this study, we develop and implement a deep learning model capable of classifying images into seven discrete emotion categories, representing universal human emotions. This objective is achieved by implementing a five-block CNN-based learning algorithm consisting of 44 layers designed to progressively capture complex facial features and expressive patterns. The CNN model performed well on FER and FERG datasets, with accuracy rates of 0.97 and 0.98, showcasing proficiency in facial expression classification. Comparative analysis highlighted its competitive accuracy, emphasizing the importance of feature extraction and architecture design. This research advances facial emotion recognition … Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:Wp0gIr-vW9MC 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 Improved Residue Number System Reverse Conversion Algorithm for [[Equation]] Three Moduli Set Implementation in Sensor Networks Creator An entity primarily responsible for making the resource PRINCE MODEY, Gaddafi Adbdul-Salaam, Alimatu Sadia Shirazu, Mohammad Hossein Anisi, Emmanuel Freeman Description An account of the resource Residue Number System (RNS) is a number system providing borrow-free subtraction, carry-free addition, parallel operations, and one-step multiplication. These capabilities make RNS applications in Digital Signal Processing and Wireless Networks a good choice. Although RNS has proven to solve the problem of carry propagation in binary number systems, it has the problem of reverse conversion, which limits its implementation in digital systems likewise sensor nodes. In this paper, we proposed an RNS reverse converter based on the moduli set {[[EQUATION]]} and the residue number [[EQUATION]]. The proposed scheme re-grouped the moduli set into two sub-moduli sets with their corresponding residue representations. The proposed method in this study requires [[EQUATION]] bit hardware resources for its implementation and also imposed [[EQUATION]] delay in its performance. The proposed RNS reverse converter needs lesser hardware resources for its implementation compared to other state of the art, making it suitable for hardware implementation in sensor networks. The proposed scheme demonstrates reliable and secure data transmission in Wireless Sensor Networks (WSNs) by using the RRNS QC encoder/decoder scheme. Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:dhFuZR0502QC Language A language of the resource English https://repository.gctu.edu.gh/files/original/e156f5ce520295d87dafb1fc60254f35.pdf adc9a35e99000b0dfdd8b1345ea2e186 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 Informatics in Medicine Unlocked Creator An entity primarily responsible for making the resource Isaac Baffour Senkyire, Kashala Kabe Gedeon, Emmanuel Freeman, Benjamin Ghansah, Zhe Liu Description An account of the resource Automatic pancreas segmentation of CT scans enables physicians to identify and monitor the abnormalities in the pancreas. This facilitates intraoperative assistance, surgical planning, prognosis, and diagnosis. Nonetheless, the size and location of the pancreas in the CT image input data present a significant challenge for automatic segmentation, and the intricacy of the background region confounds deep segmentation networks. To solve this difficulty, we propose the Encoder-Corollary Atrous Spatial Pyramid Pooling-Decoder Network (EcD-Net) for locating and segmenting the pancreas. This two-tiered method begins with a coarse segmentation stage for locating the pancreas within the overall CT image. Using the detected image from the first tier, a fine segmentation network based on U-Net is applied to segment the target organ (pancreas). A novel Saturated Multiview Dense Module (SMD-Module) is presented to enhance information gradient flow for the stability of the training process and easier convergence at the fine stage. A novel Corollary Atrous Spatial Pyramid Pooling Module (CASPP-Module) is proposed to simultaneously capture low-level details and high-level global context information to enhance the pancreas segmentation accuracy, extract global and local spatial data, and detect the pancreas at varied scales. On the publicly available National Institute of Health (NIH) pancreas dataset, our proposed EcD-Net surpasses previous state-of-the-art methods with a mean Dice Similarity Coefficient (DSC) of 88.84%, mean Precision (PRE), Recall (REC), and Intersection over Union (IoU) of 91.85%, 88.21%, and 89.94% respectively … 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://www.researchgate.net/profile/Benjamin-Ghansah-2/publication/385323071_EcD-Net_Encoder-Corollary_Atrous_Spatial_Pyramid_Pooling-Decoder_Network_for_Automated_Pancreas_Segmentation_of_2D_CT_Images/links/672b2cc277f274616d5eeb25/EcD-Net-Encoder-Corollary-Atrous-Spatial-Pyramid-Pooling-Decoder-Network-for-Automated-Pancreas-Segmentation-of-2D-CT-Images.pdf?__cf_chl_tk=w.nKPPDQX976.WVdYddVY05V2Jyar6C34yuuacFRMX4-1741103602-1.0.1.1-Wf2eFlbEa6zXih_DPuzs32K2hnghe4vR_vCrGwYG2OI Language A language of the resource English https://repository.gctu.edu.gh/files/original/640a564915c1c5155ebef212183d1b71.pdf 02fa0130efd91591d257be1b3dd4f9a3 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 An Assessment of E-commerce Adoption in the Banking Industry of Ghana Creator An entity primarily responsible for making the resource Patrick Baah-Acquah, Emmanuel Freeman Publisher An entity responsible for making the resource available The International Journal of Business & Management 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&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:Zph67rFs4hoC 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 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 Country Level Case Studies Creator An entity primarily responsible for making the resource Robert Ebo Hinson Description An account of the resource This chapter provides insights into country-level case studies on the creative sub-sectors such as the Domestic Tourism Development Strategy in Nigeria and the Year of the Return initiative in Ghana – showcasing architectural feats and innovative cultural artefacts. This chapter also features Burkina Faso (film), Djibouti (Animation and sustainable tourism), Kenya (animation and Arts), Nigeria (photography, film), Ghana, Mozambique, South Africa, Zambia and Zimbabwe. Citation Publisher An entity responsible for making the resource available Emerald Publishing Limited 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.emerald.com/insight/content/doi/10.1108/978-1-80071-302-420211008/full/html 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 Technology Enhanced Teaching: An Approach to Improve Activity-Based Learning For Instructing Computer Programming Within a Blended Learning Environment Creator An entity primarily responsible for making the resource E Freeman, S Asunka, L Sheeta Arthur Description An account of the resource This study seeks to assess a technology enhanced teaching and learning approach to improve active learning within a blended environment for undergraduate students in Ghana Technology University College. The driving force for this study is that the traditional method of teaching computer programming has not yield any positive impact among most undergraduate students which is a well known problem among most African computing science faculties and departments. This is because, students lacks the practical and technical exposure of the course, coupled with the traditional method of teaching and consequently, yielding to low performance among undergraduate computing sciences students. In view of this, the study adopted technology enhanced tools, active learning approach and the university’s Learning Management System (LMS) to blend the instruction of computer programming for a semester … Publisher An entity responsible for making the resource available IATED Date A point or period of time associated with an event in the lifecycle of the resource 2018 Source A related resource from which the described resource is derived https://library.iated.org/view/FREEMAN2018TEC Language A language of the resource English https://repository.gctu.edu.gh/files/original/49605d932ec088c4c86d37b2ced30c97.pdf 0da7de9249b4f22680526ae37c2b48f2 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 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 Examining the impact of the free senior high school policy and women empowerment on secondary school enrolment in Ghana: The bounds test approach Creator An entity primarily responsible for making the resource Frank Gyimah Sackey, Richard Kofi Asravor, Isaac Ankrah, Lilian Arthur Description An account of the resource This study aims to investigate the impact of women empowerment and free senior high school on secondary school enrolment in Ghana. The Autoregressive Distributed Lags (ARDL) estimation method, which examines both short- and long-term effects, was utilized to analyze data obtained from the World Bank database and the ILO database covering the period 1992–2021. Employing the autoregressive distributed lag (ARDL) modeling technique, it was observed that the proportion of women to men in parliament, the FSHS policy, and pre-secondary school enrollment all have positive effects on secondary school enrollment in both the short and long run. Again, though we observe a negative impact of FSHS on female secondary school enrollment in the short run, in the long run, it increases the enrollment by large, while we observe that women to men in parliament and presecondary school enrollment also … Publisher An entity responsible for making the resource available Cogent 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=qSyX_i8AAAAJ&citation_for_view=qSyX_i8AAAAJ:W7OEmFMy1HYC 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 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 The Legal Landscape and Challenges Creator An entity primarily responsible for making the resource Robert Ebo Hinson Description An account of the resource The main purpose of this chapter is to interrogate the regulatory environment in Africa by exploring trends and developments within key intellectual property rights agencies and highlighting some of the challenges revolving around contracts enforcement and royalty payments. In many developing countries, the performance and competitiveness of the creative industries have suffered from weak institutional capacity and a spate of copyrights infringement. This chapter highlights a few case illustrations drawing upon the World Intellectual Property Organisation surveys covering a selection of African countries between 2011 and 2020. Publisher An entity responsible for making the resource available Emerald Publishing Limited 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.emerald.com/insight/content/doi/10.1108/978-1-80071-302-420211006/full/html?trk=public_post_comment-text 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 IT Business 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 ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region Creator An entity primarily responsible for making the resource Isaac Ankrah, Michael Appiah Kubi, Sampson Twumasi-Ankrah, Frank Gyimah Sackey, Richard Asravor, Brenya Boahemaa, Derrick Donkor, Lilian Arthur, Christopher Lamptey, Eric Ekobor-Ackah Mochiah Description An account of the resource This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact. The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and … Publisher An entity responsible for making the resource available Pergamon 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=qSyX_i8AAAAJ&citation_for_view=qSyX_i8AAAAJ:_FxGoFyzp5QC Language A language of the resource English