Code-driven Cognitive Enhancement: Customization and Extension of Azure Cognitive Services in .NET
DOI:
https://doi.org/10.55662/JST.2023.4604Downloads
Keywords:
Code-driven Enhancement, Cognitive Services, Azure, .NET Framework, Artificial Intelligence, Customization, Extension, Application Development, Cloud Computing, Versatility, Integration, AdaptabilityAbstract
In the rapidly evolving landscape of artificial intelligence and cloud computing, this research paper delves into the intricacies of code-driven cognitive enhancement through the customization and extension of Azure Cognitive Services using the .NET framework. As organizations increasingly rely on AI solutions to augment their applications, the ability to tailor cognitive services to specific needs becomes paramount. This study explores the methods and techniques employed in adapting and extending Azure Cognitive Services, with a primary focus on the versatility offered by the .NET ecosystem. By elucidating practical approaches and best practices, the paper aims to empower developers and organizations to harness the full potential of Azure Cognitive Services within the .NET ecosystem, fostering innovation and intelligence-driven solutions in the digital era.
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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.