The internet’s evolution has highlighted cloud computing’s limitations, such as latency and bandwidth issues, prompting interest in edge computing to address these. Effective load balancing is essential to fully lev...
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Recently, machine learning is increasingly applied in the food industry and related research. Especially, imported food access to up-to-date information can be challenging for consumers. To address this issue, we prop...
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Recent advances in Artificial Intelligence have witnessed an unprecedented penetration of AI tools into our day-to-day life like never before. Especially, a generative AI tool such as ChatGPT that is driven by Large L...
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This research paper examines the evolution of intelligent systems, and how intelligent systems can revolutionize computing infrastructures. To fulfill the ever-changing needs in efficiency, scalability, and security, ...
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ISBN:
(纸本)9789819733040;9789819733057
This research paper examines the evolution of intelligent systems, and how intelligent systems can revolutionize computing infrastructures. To fulfill the ever-changing needs in efficiency, scalability, and security, traditional computing frameworks are changing by integration artificial intelligence, machine learning, and data analytics as core components of current and foreseeable future evolution. This study explores important issues, specifically, in relation to the future of intelligent computing infrastructures. Methodology applied in this research includes literature review, comparative analysis, expert interviews, and predictive modeling. Findings of this research suggest not only prominent improvements in data processing capacity and efficiency, but also new security and workforce dynamics challenges. This research paper adds to the conversation regarding intelligent systems' influence on the development of next-generation computing infrastructures by outlining to both practitioners, researchers, and policymakers with useful insights that are applicable for both industry and academically.
Sentiment analysis finds widespread applications in health, marketing, finance, stock markets, media, and politics. To analyze attitudes and emotions in textual data, handling large datasets and significant computatio...
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Digital twins are a relatively new concept that have lately garnered interest in the industrial sector. Digital twins are virtual models that mirror actual products. In this research, we suggest using the technology o...
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This paper examines the need for imposing data safety models to reduce cyber security risks in networked packages. Security models enable groups to research the current kingdom in their networks and evaluate the assoc...
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Pain is a complex phenomenon that incorporates both physical sensations and emotional responses. The use of automated pain assessment is crucial in order to develop effective medical diagnostic systems for pain manage...
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This paper presents a design methodology of Introductory informationtechnology offered to non-majors in computer science, such as the major in languages and translation, at the Macao Polytechnic University (MPU). The...
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With the rapid growth of informationtechnology (IT), the amount of data generated by various industries in modern society is exploding. However, while enjoying the convenience brought by data, how to ensure the priva...
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