Experimental Investigation and Numerical Simulation for Corrosion Rate of Amorphous/Nano-Crystalline Coating Influenced by Temperatures

Al-Abboodi, Hamid; Fan, Huiqing; Mahmood, Ibtihal A.; Al‐Bahrani, Mohammed

doi:10.3390/nano11123298

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…Personalized learning can help struggling students catch up, while advanced students can be challenged at their level (Gningue, Peach, Jarrah, & Wardat, 2022). By providing a personalized learning experience, students are more engaged and motivated to learn, which can lead to better academic performance and higher retention rates (Al-Abboodi, Fan, Mahmood, & Al-Bahrani, 2021). AI-based learning platforms can provide personalized learning experiences in several ways (Ibrahim, Al-Awkally, Samad, Zaib, & Hamza, 2022).…”

Section: Personalized Learningmentioning

confidence: 99%

Role of AI in Education

Harry

2023

Injurity

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Artificial intelligence (AI) has the potential to revolutionize the way we learn and teach, making it more personalized, engaging, and efficient. AI in education refers to the use of artificial intelligence technologies, such as machine learning and natural language processing, to enhance the learning experience. It involves the use of algorithms that analyze data, identify patterns, and make predictions, enabling educators to personalize learning for each student. The potential benefits of using AI in education are significant. Personalized learning, one of the most significant advantages of AI in education, can lead to better student outcomes, as students can learn at their own pace and in a way that suits their learning style. Intelligent tutoring systems, chatbots, and automated grading and assessment can increase efficiency, save teachers' time, and provide more accurate and consistent feedback. However, there are also challenges associated with using AI in education. Privacy and security concerns, lack of trust, cost, and potential bias are some of the challenges that need to be addressed. Ethical considerations such as ensuring accessibility, transparency, and fairness in AI-based education systems also need to be taken into account. Despite these challenges, the potential of AI in education is immense. AI can provide better data analysis, enabling educators to make data-driven decisions. In this review we described role of AI in management, promotion of education which describe the effect of AI in education sector

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Section: Personalized Learningmentioning

confidence: 99%

Role of AI in Education

Harry

2023

Injurity

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“…The device, called FoundationOne CDx, can analyze the DNA of more than 300 genes and provide information on which drugs are most likely to be effective.Similarly, a team of researchers at Vanderbilt University developed an AI algorithm that can predict which patients are most likely to have an adverse reaction to a particular medication. The algorithm was trained on a dataset of more than 1.5 million patient records and achieved an accuracy of 79% )(Al-Abboodi et al, 2021 (Ahmer et al, 2022.…”

Section: Personalized Medicinementioning

confidence: 99%

Artificial Intelligence in Health Sector of USA

Pendy¹

2023

JISS

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The article describes how AI has already made a significant impact in the health sector in the US, with many promising future applications. In medical imaging, for example, AI algorithms have been developed that can detect and classify anomalies with high accuracy rates, potentially reducing the need for unnecessary biopsies or surgeries. Personalized medicine is another area where AI is being used to analyze large amounts of patient data and provide tailored treatments. AI is also being used to improve the accuracy and efficiency of electronic health records (EHRs) by automatically detecting errors and inconsistencies. In drug discovery, AI algorithms can analyze large data sets and predict which compounds are likely to be effective in treating a particular disease, potentially reducing the time and cost of drug development. In the future, AI is expected to play an even greater role in precision medicine, enabling clinicians to develop customized treatment plans based on a patient's individual genetic and medical history. AI is also being developed for use in virtual assistants, which can provide patients with personalized health advice and reminders. Clinical decision support systems are another area where AI is expected to have a significant impact, helping clinicians to make more informed decisions by analyzing patient data and providing recommendations based on the latest research and best practices. Overall, the article suggests that AI has the potential to transform healthcare by improving patient outcomes, reducing costs, and increasing access to care. However, the article also acknowledges that there are challenges to be addressed, such as ensuring the accuracy and fairness of AI algorithms and addressing privacy concerns.

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“…Considerations of bodies that experienced simultaneous thermal and mechanical field knocking are referred to be coupled fields [17][18][19][20]. The optimization and discovery of certain numerical values that fit for composite systems, which have a high strength-to-weight ratio when compared to commonly used materials, is another use of AI-based systems [21][22][23][24].…”

Section: Mechanical Design and Optimization Based On Annmentioning

confidence: 99%

Application of Artificial Intelligence in Mechanical Engineering

Alhakeem¹,

Ilham²

2022

Brilliance

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The use of artificial intelligence (AI) is becoming more prevalent across many industries. Examples include intelligently based control, intelligently based mechanical systems, pattern recognition-based systems, and knowledge processing. Method/Statistical Analysis: In this paper, an extensive review was conducted on the applications of ANN in intelligent mechanical engineering systems, including fault diagnosis in machines, mechanical structure analysis, and geometry modelling of mechanical structures, mechanical design, and its optimization. Findings: The adaptation of artificial neural networks (ANN), particularly in the field of mechanical engineering, is still in its early stages of development. This paper highlights the different ways artificial neural networks (ANNs) are used in intelligent-based systems, as well as the potential for reducing costs and time and obtaining more efficient systems for mechanical-based design and defect detection. Application/Improvements: This work will be improved in the future by adding more AI applications to the design of mechanically based systems.

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Experimental Investigation and Numerical Simulation for Corrosion Rate of Amorphous/Nano-Crystalline Coating Influenced by Temperatures

Cited by 7 publications

References 31 publications

Role of AI in Education

Role of AI in Education

Artificial Intelligence in Health Sector of USA

Application of Artificial Intelligence in Mechanical Engineering

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