This study aims to identify critical predictors of suicide and inform targeted interventions using data from 27,014 college students. It examines a comprehensive range of mental health indicators, including psychiatri...
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The rapid development of the Industrial Internet of Things (IIoT) imposes the needs for digitization of industrial procedures so as to enhance the efficiency of the network. Cyber-Physical System (CPS) has important r...
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Detecting and comprehending human actions poses a significant challenge, especially in the context of enhancing human security. This area of study has garnered attention recently, and machine learning-based methods ha...
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Phishing URL detection is crucial in cybersecurity as malicious websites disguise themselves to steal sensitive information. Traditional machine learning techniques struggle to perform well in complex real-world scena...
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A new impetus for the development of information technology in the educational process was given by the COVID-19 coronavirus pandemic and the quarantine imposed to prevent the spread of the disease. Due to the quarant...
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ISBN:
(纸本)9783031530210;9783031530227
A new impetus for the development of information technology in the educational process was given by the COVID-19 coronavirus pandemic and the quarantine imposed to prevent the spread of the disease. Due to the quarantine and the war in Ukraine, the educational process has moved to the online space, which has created conditions for remote learning using media content. Media education is designed to prepare students for life in the new information environment, to teach them to fully perceive different types of information, to understand and master the means of communication based on interactive forms of communication. It also improves the quality of information perception, students' engagement in interactive classes and the engagement of all participants in the learning process in the online environment. Thus, today's realities require new approaches and teaching tools that should be implemented by modern higher education institutions in the era of Education 4.0.
The shortage of technological field specialists in the labor market is observed in many countries worldwide. The lack of technical specialists raises great concerns;especially about the overall growth of the domestic ...
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Solar photo voltaic (PV) energy system backbone of the renewable energy system. Energy system is depended on weather conditions such as temperature and radiation intensity. The role of machine learning (ML) for solar ...
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With the continuous penetration and integration of the Internet in the field of education, the availability of educational resources has been continuously improved, which has provided strong support for strengthening ...
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Runtime auto-remediation is crucial for ensuring the reliability and efficiency of distributed systems, especially within complex microservice-based applications. However, the complexity of modern microservice deploym...
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ISBN:
(纸本)9798400706585
Runtime auto-remediation is crucial for ensuring the reliability and efficiency of distributed systems, especially within complex microservice-based applications. However, the complexity of modern microservice deployments often surpasses the capabilities of traditional manual remediation and existing autonomic computing methods. Our proposed solution harnesses large language models (LLMs) to generate and execute Ansible playbooks automatically to address issues within these complex environments. Ansible playbooks, a widely adopted markup language for IT task automation, facilitate critical actions such as addressing network failures, resource constraints, configuration errors, and application bugs prevalent in managing microservices. We apply in-context learning on pre-trained LLMs using our custom-made Ansible-based remediation dataset, equipping these models to comprehend diverse remediation tasks within microservice environments. Then, these tuned LLMs efficiently generate precise Ansible scripts tailored to specific issues encountered, surpassing current state-of-the-art techniques with high functional correctness (95.45%) and average correctness (98.86%).
Worldwide, anemia is a prevalent medical ailment that is defined by a lack of hemoglobin or red blood cells. Effective treatment and the avoidance of consequences depend on the early recognition and management of anem...
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