48 10 3143 https://www.repository.gctu.edu.gh/files/original/980e983352cecb545b5a991eae97f26f.pdf 806c559550bcc1e99eedcb83f429be13 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 Graduate School 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 Big Data and Artificial Intelligence in Digital Finance: Increasing Personalization and Trust in Digital Finance Using Big Data and AI Creator An entity primarily responsible for making the resource Soldatos, John., Kyriazis, Dimosthenis Description An account of the resource This open access book presents how cutting-edge digital technologies like big data, machine learning, artificial intelligence (AI), and blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more of the most popular Big Data, AI, and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, and Portfolio Risk Assessment, as well as a variety of novel usage-based insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed, and validated in real-life digital finance settings in the context of the European Commission-funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in big data, AI, banking, and digital finance. Subject The topic of the resource Artificial Intelligence, Blockchain, and Big Data Applications Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License. Language A language of the resource English Type The nature or genre of the resource Text https://www.repository.gctu.edu.gh/files/original/99c89b59510b668c0c7e84452c27c7ed.pdf 93388c32959832cc7fdab0e9b861c177 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 Graduate School 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 Big Data in Economics and Management Creator An entity primarily responsible for making the resource Zheng Zhang, Kun Zhang, Xing Yan, Songshan Yang, Yuqian Zhang Subject The topic of the resource Statistics and Big Data Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This book discusses three advanced topics in modern economics and management: causal inference, financial model computing and decisions, and financial risk management. The first part of the book introduces the counterfactual framework for causal inference in observational studies and defines important causal parameters under both discrete and continuous treatments. The second part focuses on the computations associated with the financial model and its consequent decision-making. The third part studies the nested simulation method for portfolio risk measurement and introduces the neural network methodology for market risk forecasting. The goal of this book is to provide cutting-edge methodologies and rigorous theory to solve advanced problems in economics and management, such as program/policy evaluation, efficient computation of econometric models, and financial risk management. This book will be appealing to academic researchers and graduate students. Practitioners may also find this book helpful. https://www.repository.gctu.edu.gh/files/original/48f3b8fb2df8b180a3585fd92eed0d8d.pdf 9cceac0d9a0c5330e89bdf9b734699d2 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 Big Data Management and Analytics (Future Computing Paradigms and Applications) Creator An entity primarily responsible for making the resource Brij B.Gupta and Mamta Subject The topic of the resource Big Data,Computing Paradigms Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2024 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource 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 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 Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking Creator An entity primarily responsible for making the resource Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman Description An account of the resource The development of internet technology gives consumers the chance to transfer packets across networks instantly. Such developments in internet technology are anticipated to ease congestion. Despite this, the majority of firms were bound by the expense of deploying cutting-edge technology or updating network infrastructure, necessitating efficient congestion management. Inherent distribution optimisation, which requires each source device on the network to continually adjust to its traffic load using the feedback information received or acknowledged from another source device, is unfortunately the problem with congestion management. This research addresses the issue of continually adjusting to a network traffic load by presenting a unique optimisation technique. This strategy is based on the features and hunting behaviour of foxes and rabbits on wild grass. A computer network congestion optimisation … 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&amp;hl=en&amp;user=rQvaaoMAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=rQvaaoMAAAAJ:kNdYIx-mwKoC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/ba50097823e2f5269eb4c88095a4c2cc.pdf 88a3765424a0fb28ae53ce9449a42271 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 Food Science 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 Biochemical and textural changes in trifoliate yam Dioscorea dumetorum tubers after harvest Creator An entity primarily responsible for making the resource Samuel Sefa-Dedeh, Emmanuel Ohene Afoakwa Description An account of the resource Biochemical and textural changes were investigated in trifoliate yam Dioscorea dumetorum tubers, after harvest, in an attempt to study the chemical and physical changes associated with the raw and cooked tubers and how these relate to the hardening phenomenon of the tubers after harvest. A 2×2×3×4 factorial experiment, with cultivar, storage condition, treatment and storage time as their respective variables, was done. Samples were analysed for moisture, starch, reducing sugars, alcohol-soluble sugars, acid and neutral detergent fibre, cellulose, hemicellulose and lignin. The Warner–Bratzler test cell was used in a TA.XT2 Texture Analyser to measure the hardness of cooked tubers. The moisture and starch contents of the tubers decreased from 77.8 to 70.4% and 70.5 to 66.5 g/100g, respectively in a period of 72 h of storage, suggesting rapid dehydration after harvest and breakdown of starch. All the other … 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 2002 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=EZuX1N8AAAAJ&amp;pagesize=80&amp;citation_for_view=EZuX1N8AAAAJ:5nxA0vEk-isC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/083398be6748552d5132469e80a0f91f.pdf 6e2c7701ec6e14b8035f4016ec25984f 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 Graduate School 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 Biometric and Intelligent Decision-Making Support Creator An entity primarily responsible for making the resource Kaklauskas, Arturas Subject The topic of the resource Business Decision Management Publisher An entity responsible for making the resource available Springer International Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2015 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/f4c390f528d2d47ea2b2c513def4aaa4.pdf f1f03eb5b2da2c8c70482aa897ad0f81 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 Blend or Flip: An Assessment of Graduate Students' Preferences for Technology-Enabled Learning Initiatives within the Sub-Saharan African Context Creator An entity primarily responsible for making the resource Stephen Asunka Description An account of the resource Recent advances in information and communication technologies (ICTs), particularly wireless broadband Internet access and communicating devices, are offering higher education institutions a greater opportunity to implement several innovative learning initiatives. Two of such technology enabled learning initiatives that have emerged and are spreading rapidly are: i. Blended, or Hybrid Learning - an approach to learning where Internet based, and face-to-face learning activities are integrated in ways to facilitate learning and thus achieve learning objectives, and ii. Flipped Learning - an approach which aims at improving learning outcomes by reversing the traditional teaching setup: students acquire basic content outside of class, and then work together in class on application-oriented activities. Ever since their emergence following widespread adoption of the World Wide Web in the 1990s, a growing number of … Publisher An entity responsible for making the resource available 9th International Technology, Education and Development Conference (INTED2015) 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=AXIuswEAAAAJ&cstart=20&pagesize=80&citation_for_view=AXIuswEAAAAJ:roLk4NBRz8UC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/c4ea159397d5daccb133a2d54244450f.pdf f6cd1af9d8b826c8bb85d96b84619e33 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 <strong>Faculty Research Publications</strong> 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 Blended Learning Adoption in Higher Education: Presenting the Lived Experiences of Students in a Public University from a Developing Country. Creator An entity primarily responsible for making the resource Ahmed Antwi-Boampong Description An account of the resource The concept of Blended Learning (BL) is gaining widespread attention in Ghana as many public universities' switches into this delivery format. The paper investigates the BL experiences of students from a public university and among other things presents their views relative to the determinants of BL adoption and the barriers encountered out of the experience. The paper adopts a qualitative case study methodology and purposively interviews 15 students from a BL class of 57 students. The analysis was done using Thematic analysis techniques. The findings presented in this paper indicate that the students in the BL class hold a positive perception of BL. Insights into the perspective of the respondents show that students view BL as an approach that is convenient, flexible and among other things facilitate learning beyond the limitations imposed by the classrooms. Also, BL is viewed as an effective pedagogic tool that allows learning to take place in a socially constructive manner through Publisher An entity responsible for making the resource available Sakarya University. Esentepe Campus, Adapazari 54000, Turkey 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&amp;hl=en&amp;user=riwB9JUAAAAJ&amp;citation_for_view=riwB9JUAAAAJ:Xl6nMSl579sC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/9e4d0013f9b2374cb611ae310c14b8ee.pdf 129d579e671837841760446f690315b5 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 Graduate School 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 Blockchain for Big Data: AI, IoT, and Cloud Perspectives Creator An entity primarily responsible for making the resource Shaoliang Peng Publisher An entity responsible for making the resource available CRC Press, Taylor & Francis Group Date A point or period of time associated with an event in the lifecycle of the resource 2021 Type The nature or genre of the resource Text Subject The topic of the resource The Big Three: Artificial Intelligence, Blockchain, and Big Data Applications Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Description An account of the resource In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analyzing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognized for its decentralized infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research. https://www.repository.gctu.edu.gh/files/original/64b028cbfbd22835e7849c58054366e3.pdf 90dea30fc35775e8b69207f16310d751 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 Blockchain Maturity of Ghanaian Financial Institutions and Their Readiness to Adopt Distributed Ledger for KYC Processes Creator An entity primarily responsible for making the resource Forgor Lempogo, Willian Leslie Brown-Acquaye, Millicent Agangiba, Daniel Selassie Kwasi Twumasi Description An account of the resource Although information technology has positively influenced operations in the Ghanaian financial sector, there is still a high operational cost in performing KYC procedures due to duplication of efforts during clients' onboarding. The decentralized nature of blockchains makes them ideal for addressing these challenges. In this paper, the blockchain maturity model was used to assess the maturity and readiness of Ghanaian banks to adopt blockchain technology for KYC processes. Using primary data obtained via questionnaires and interviews, the individual components of the blockchain maturity model were assessed. The results indicate that the network, hardware, and software components are at repeatable, defined, and managed stages, respectively, while the people component lags in the initial stage due to a lack of adequate staff training. Finally, security and privacy are at the defined stage, whereas policy and … Publisher An entity responsible for making the resource available IGI Global 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&amp;hl=en&amp;user=BDvl0VYAAAAJ&amp;citation_for_view=BDvl0VYAAAAJ:5nxA0vEk-isC Language A language of the resource English