5 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 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://www.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://www.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 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://www.repository.gctu.edu.gh/files/original/3bce112b912daa9788bd31f1b3818f29.pdf 4c104236f9806cf9ce724424a99c7b09 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 A framework for activity-based computer programming instruction in a blended learning environment Creator An entity primarily responsible for making the resource Emmanuel Freeman Description An account of the resource This study develops a framework for an activity-based computer programming instructional approach in a blended learning environment of higher education institutions. The driving force for this study is the poor performance of most undergraduate students in the domain of computing science programs to comprehend and write computer programs to solve real-world problems. In addition, a fundamental problem with most HEIs in undergraduate computer science educational programmes is how to teach programming and how students can comprehend and write computer programs. Hence, the study developed a framework and a curriculum mediation for computer programming instruction in Higher Education Institutions (HEIs) in Ghana. The action research approach was used to conduct the research which spanned through three different semesters from September 2019 to October 2020. The mixed method approach was used to capture data from 300 students and nine lecturers in three different HEIs in Ghana and different computer programming classes within a blended learning environment. Date A point or period of time associated with an event in the lifecycle of the resource 2021 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:5nxA0vEk-isC 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 Trends in Computer Networking Congestion Control: A Bibliometric Analysis Creator An entity primarily responsible for making the resource Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C Millham, Samuel A Iwarere, Emmanuel Freeman Description An account of the resource Computer networking congestion control is an important area of research. This study presents a bibliometric analysis of trends in computer networking congestion control research over the past decade. A total of 1,156 papers published in top-tier networking conferences and journals were analyzed using various bibliometric techniques. The results of the analysis show that the number of publications in this field has been steadily increasing over the years, with a significant rise in the number of publications related to machine learning-based congestion control techniques. The study identifies the most influential authors, institutions, and countries in this field. The analysis also identifies the most frequently cited papers, which provide valuable insights into the key concepts and developments in this field. This study provides a comprehensive overview of the trends in computer networking congestion control research … 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://link.springer.com/chapter/10.1007/978-3-031-48858-0_38 Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/ed40178e17e14e30ed05dbd7325f3fd5.pdf af6288cc5211df1c80714ffa0a6d18f7 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 EcD-Net: Encoder-Corollary Atrous Spatial Pyramid Pooling-decoder network for automated pancreas segmentation of 2D CT images 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 Multi-view Dense Module (SMD- Module) is … 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&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:4DMP91E08xMC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/92b33de4a7ebd064be014e19a673080d.pdf 26d266941f0ddb72a1d9a9982739c640 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 A Hybrid Security Algorithm in Container-based Virtualization Environments Using Residue Number Systems Creator An entity primarily responsible for making the resource Prince Modey, Emmanuel Freeman, Stanley Opoku-Yeboah, Ebenezer Avulekpor Description An account of the resource The need for vigorous security methods becomes a great concern as container-based virtualization continues to gain close attention in modern edge computing environments. This study proposed a novel hybrid security algorithm designed specifically for containerized virtualization technology, leveraging the distinctive capabilities of Residue Number Systems (RNS). The proposed algorithm integrates the strengths of the bits permutation technique with the efficiency and parallelism inherent in RNS to enhance data security in containerized systems. The proposed algorithm combines RNS-based encryption and decryption processes with the bits permutation technique to form an adaptable security scheme. This proposed hybrid technique leverages an RNS's ability to perform modular arithmetic operations in parallel, offering data protection against certain attacks. The proposed security algorithm unlike the risk … 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 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&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:M3ejUd6NZC8C Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/d26c9ea5c778c53475ae185238dde8b8.pdf f1acadcbef04171c1272556d4cead304 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 K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network Creator An entity primarily responsible for making the resource Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C Millham Description An account of the resource In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. While the traditional bee colony optimization technique has been widely used as a clustering technique in WSN, it mostly suffers from energy efficiency and network performance. This study proposes a Bee Colony Optimization that synergistically combines K-mean algorithms (referred to as K-BCO) for efficient clustering in heterogeneous sensor networks. This is to develop a robust and efficient clustering algorithm that addresses the challenges of energy consumption and network performance in WSNs. The K-BCO algorithm outperformed comparative clustering algorithms such as H-LEACH, DBCP, and ABC-ACO in average error rate (AER), average data delivery rate (ADDR), and average energy consumption (AEC) for transmitting data packets from sensors to cluster heads. The K-BCO outperformed other algorithms in terms of ADDR at 95.00% against H-LEACH (75.86%), DBCP (72.07%) and ABC-ACO (90.08%). The findings indicate that the K-BCO not only optimizes energy consumption but also guarantees more stable and robust solutions, thereby extending the network lifetime of WSNs. Thus, K-BCO is recommended to practitioners in wireless sensor networks as it paves the way for more efficient and sustainable wireless communication. 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 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&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:mVmsd5A6BfQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/10bf4eb8b5cf80e63d1e4c5404b9913f.pdf 9d326a3f5182e7f23fdc89ae685f478c 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 Fused Multi-Domains and Adaptive Variational Mode Decomposition ECG Feature Extraction for Lightweight Bio-Inspired Key Generation and Encryption Creator An entity primarily responsible for making the resource Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman, Wanqing Wu, Xianbin Zhang Description An account of the resource Security is one of the increasingly significant issues given advancements in technology that harness data from multiple devices such as the internet of medical devices. While protecting data from unauthorized user access, several techniques are used including fingerprints, passwords, and others. One of the techniques that has attracted much attention is the use of human features, which has proven to be most effective because of the difficulties in impersonating human-related features. An example of a human-related attribute includes the electrical signal generated from the heart, mostly referred to as an Electrocardiogram (ECG) signal. The methods to extract features from ECG signals are time domain-based; however, the challenge with relying only on the time-domain or frequency-domain method is the inability to capture the intra-leading relationship of Variational Mode Decomposition signals. In this research … 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&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:9ZlFYXVOiuMC Language A language of the resource English