36 10 3117 https://www.repository.gctu.edu.gh/files/original/5ff31f984a5a847c4963e1862e90fad1.pdf a9b5252d08a8c2f5b0a836cf2511fc0b 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 Armstrong’s Handbook of Strategic Human Resource Management: Improve Business Performance through Strategic People Management.7th Edition Creator An entity primarily responsible for making the resource Armstrong, M. Subject The topic of the resource Human Resource Management Publisher An entity responsible for making the resource available Kogan Page Date A point or period of time associated with an event in the lifecycle of the resource 2021 Format The file format, physical medium, or dimensions of the resource PDF https://www.repository.gctu.edu.gh/files/original/d6433ad7d972b611a5cd2bf6e6f06c07.pdf e2842c6c0dea7627def46ce300d079a0 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 Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges Creator An entity primarily responsible for making the resource Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller Subject The topic of the resource Artificial Intelligence, Machine Learning, Computer Science 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 2020 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 https://www.repository.gctu.edu.gh/files/original/4094e364bf708b0e4834dbcf37550f40.pdf ae92cb7cc4230d4d0d069c219f00346e 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 Engineering 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 Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain Creator An entity primarily responsible for making the resource Amit Konar Publisher An entity responsible for making the resource available CRC Press LLC Date A point or period of time associated with an event in the lifecycle of the resource 2000 Subject The topic of the resource Computer Science 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 https://www.repository.gctu.edu.gh/files/original/07ef144da1370c5c0a221b52213a601f.pdf c61345026a229bebc329cf2d93938296 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 Artificial Intelligence Basics: A Self-Teaching Introduction Creator An entity primarily responsible for making the resource Gupta, Neeru, Ramita Mangla Subject The topic of the resource IT Publisher An entity responsible for making the resource available Mercury Learning & Information Date A point or period of time associated with an event in the lifecycle of the resource 2020 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/e7a451b49c4f4d4cc5b93cf2ef2771da.pdf 0d643b26fd3d25c6066b43d22fee0868 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 Artificial Intelligence Design and Solution for Risk and Security Creator An entity primarily responsible for making the resource Archie, Addo., Srini, Centhala., Muthu, Shanmugam. Subject The topic of the resource IT Publisher An entity responsible for making the resource available Business Expert Press Date A point or period of time associated with an event in the lifecycle of the resource 2020 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/3fce371f8c283e63a4732ce59ea76fb3.pdf f90199943ea385625763c6d2397be9d3 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 Artificial Intelligence in Accounting Practical Applications Creator An entity primarily responsible for making the resource Cory, Ng., and Alarcon, John. Subject The topic of the resource Accounting Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2020 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/f3a98cead58cd6f355e4e97bac9528d1.pdf c27309314897eda6669e04965e8c3084 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 Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging Creator An entity primarily responsible for making the resource Kenji, Suzuki., Yisong, Chen Subject The topic of the resource Management Information Systems 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 2018 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/75bc7216aa492bc85e5c0c08da518fa1.pdf 4bc0bcce913ca48615ac8cef6cb7774d 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 Artificial Intelligence in Social Work: Bridging Technology and Humanity Creator An entity primarily responsible for making the resource Ruopeng An, Michael A. Lindsey Description An account of the resource This open access book is a comprehensive examination of how artificial intelligence (AI) is transforming the field of social work across practice, education, and research. This topic is particularly important to the field at this time due to the rapid integration of AI technologies into societal structures and the increasing demand for social services that are efficient, effective, and ethically sound. The book provides timely insights into how AI can be harnessed to address complex social issues while maintaining the core values of social work. It emphasizes the critical need for professionals to understand and navigate the ethical implications of AI, ensuring that technological advancements serve to enhance, rather than compromise, human well-being. Organized into five parts, the book begins with a foundational overview in Part I, introducing the role of AI in transforming social work. Part II explores AI applications responding to social needs, covering critical areas such as poverty, child welfare, health care, mental health, substance abuse, support for older adults, communities at risk, criminal justice, and human trafficking prevention. Part III delves into AI's impact on social justice in changing contexts, including advocacy, environmental challenges, the evolving workplace, and international issues. Part IV focuses on AI in social work education and research, highlighting how AI tools enhance learning and scholarly inquiry. Part V addresses ethical considerations and future directions, discussing challenges, governance, and strategies for building AI literacy, culminating in a conclusion that outlines opportunities for AI in social work. Artificial Intelligence in Social Work: Bridging Technology and Humanity equips social work practitioners, educators, researchers, and students with a deep understanding of AI's capabilities and implications within various social work domains. The book offers practical guidance on integrating AI into various aspects of social work practice, enhancing service delivery, and improving client outcomes. For educators and students, it provides a framework for incorporating AI literacy into social work curricula, preparing the next generation of professionals for a technologically advanced landscape. Researchers benefit from insights into innovative methodologies that leverage AI for more robust and impactful studies. By intertwining technological advancements with the human-centric values of social work, the book underscores the necessity of balancing innovation with compassion and ethical responsibility. Subject The topic of the resource Artificial Intelligence 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 https://www.repository.gctu.edu.gh/files/original/61d0695fa2cf2150b9f2c05daa5c646f.pdf b5d853f563eccc6066562c5019c7996e 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 Artificial Intelligence Technology Creator An entity primarily responsible for making the resource Huawei Technologies Co., Ltd. Subject The topic of the resource Artificial Intelligence Publisher An entity responsible for making the resource available Huawei Technologies Co., Ltd. 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 open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI and machine learning, as well as other relevant topics, including deep learning, deep learning frameworks, the Huawei MindSpore AI development framework, the Huawei Atlas computing platform, the Huawei AI open platform for smart terminals, and the Huawei CLOUD Enterprise Intelligence application platform. As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cybersecurity, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence. https://www.repository.gctu.edu.gh/files/original/0cfd4c5fda34a5ebf5d7d3f90b6000c0.pdf 956dc1984ae0be82da5b90549e2d0cbc 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 Artificial intelligence: a catalyst to organizational learning and development in 21st century Creator An entity primarily responsible for making the resource , Robert Ebo Hinson Description An account of the resource Artificial intelligence is often observed as a means to automate operations, not as a device to enhance and support human workers. When human and artificial capitals have the capability to not only generate efficiencies within business practices, they can transform and create new opportunities. Due to the unique self-learning proficiency of emerging AI technology, the study admits taking a learning-centered approach to embrace the link between AI and strategy. This study shows that what drives strategy is not machine learning but organizational learning. According to Ransbotham et al. (2020), organizational learning is the source of competitive advantage and the foundation on which an organization can develop capabilities to adapt to shifts in the ever-changing environment. AI is often treated as a strategic asset that assists the firm to frequently reposition itself in the dynamic and competitive environment, rather than as a tool for automating processes, cutting costs or snowballing the firm’s revenue streams External strategic learning process of artificial intelligence There is an external orientation of strategic learning processes in every organization (Thomas et al., 2001). Organizations therefore turn outside their internal environment to explore trends of activities in their competitive market, paying particular attention to consumer intention, buying behavior and demand. The external environment of the organization requires that internal processes and capabilities be vigorously developed and redeveloped to improve the company’s competitive advantage. Artificial intelligence: changing organizational learning and engagement Artificial intelligence (AI) can simply be captured as the development of systems that can perform tasks that would normally require human reasoning and intelligence, such as problem-solving, and decision-making (Mannino, 2015). AI simply is system software that Publisher An entity responsible for making the resource available Emerald Publishing Limited, ISSN 1477-7282 Source A related resource from which the described resource is derived https://www.emerald.com/insight/content/doi/10.1108/dlo-02-2024-0037/full/html Language A language of the resource English