Construction of Digital Evaluation Model for Teacher Literacy in Colleges and Universities and Its Optimization Strategy DOI Creative Commons
Yang Yu, Zhifang Shi,

Kaiming Wang

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract In this paper, by sorting out the principles followed some scholars in constructing evaluation index system of teacher literacy colleges and universities, combined with actual situation a college or university, preliminary selection indexes is made. The Delfel method must be used to screen indicators then determine system. With help hierarchical analysis algorithm, calculate weight value each index, formulate factor set comment set, construct fuzzy model. Adopt model paper explore current development. comprehensive matrix three-level school 3.7519, 6.2918, 3.353, 3.407, 3.1964. Based on principle maximum affiliation, results are good, at same time, it maps that there problem order promote university teachers have excellent literacy, puts forward two optimization strategies, namely, training sound appraisal mechanism. To quality teachers, strategies proposed, assessment mechanisms.

Язык: Английский

A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation DOI Creative Commons
Thura J. Mohammed, XinYing Chew, Alhamzah Alnoor

и другие.

International Journal of Computational Intelligence Systems, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 18, 2024

Язык: Английский

Процитировано

3

Multi-scale fuzzy self-attention network for hyperspectral image classification with small-samples DOI
Ziyi Li, Jindong Xu,

Qianpeng Chong

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 155, С. 111092 - 111092

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Strategies for protection against adversarial attacks in AI models: An in-depth review DOI Creative Commons

Ghadeer Ghazi Shayea,

Mohd Hazli Mohammed Zabil,

Mustafa Abdulfattah Habeeb

и другие.

Journal of Intelligent Systems, Год журнала: 2025, Номер 34(1)

Опубликована: Янв. 1, 2025

Abstract The enhanced use of artificial intelligence (AI) in organizations has changed and revolutionized the approaches to solving problems, processing information, decision making. While algorithms turned out be highly effective, AI systems faced adversarial attacks, which can described as slight alterations inputs that would fool an algorithm. These attacks remain major challenges dependability protection thus need develop stable flexible strategies procedures. aim this article is discuss existing trends attack techniques mechanisms. To end, papers, exact match, systematically applied operative inclusion/exclusion criteria pertinent against multiple databases were incorporated used. Specifically, 1988 papers retrieved from Web Science, IEEE Explore, Science Direct, published between January 1, 2021, July 2024, where we used 51 identified journal articles for quantitative synthesis final stage. Thus, taxonomy, resulted our analysis, discusses motivation, best practices relation threats question. taxonomy also describes suggests other ideas on how improve robustness systems. Not only study a response gaps literature but it presents reader with map further studies. It necessary draw attention fact objective criterion must introduced measure degree defense, collaboration researchers fields, necessity consider ethical implications created defense Our results shall assist industry practitioners, researchers, policymakers designing optimal security protect dynamic adversary strategies. This review provides reference entry topic may encountered together measures taken forward

Язык: Английский

Процитировано

0

A smart system of Mass Personalization Product Service System (MP-PSS) driven by industrial modular configuration DOI
Xianyu Zhang,

GuoJun Sheng,

LuCheng Chen

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102758 - 102758

Опубликована: Авг. 7, 2024

Язык: Английский

Процитировано

2

Emerging Trends in Applying Artificial Intelligence to Monkeypox Disease: A Bibliometric Analysis DOI
Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Rabab Benotsmane

и другие.

Applied Data Science and Analysis, Год журнала: 2024, Номер 2024, С. 148 - 164

Опубликована: Сен. 8, 2024

Monkeypox is a rather rare viral infectious disease that initially did not receive much attention but has recently become subject of concern from the point view public health. Artificial intelligence (AI) techniques are considered beneficial when it comes to diagnosis and identification through medical big data, including imaging other details patients’ information systems. Therefore, this work performs bibliometric analysis incorporate fields AI bibliometrics discuss trends future research opportunities in Monkeypox. A search over various databases was performed title abstracts articles were reviewed, resulting total 251 articles. After eliminating duplicates irrelevant papers, 108 found be suitable for study. In reviewing these studies, given on who contributed topics or fields, what new appeared time, papers most notable. The main added value outline reader process how conduct correct comprehensive by examining real case study related disease. As result, shows great potential improve diagnostics, treatment, health recommendations connected with Possibly, application can enhance responses outcomes since hasten effective interventions.

Язык: Английский

Процитировано

1

Construction of Digital Evaluation Model for Teacher Literacy in Colleges and Universities and Its Optimization Strategy DOI Creative Commons
Yang Yu, Zhifang Shi,

Kaiming Wang

и другие.

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract In this paper, by sorting out the principles followed some scholars in constructing evaluation index system of teacher literacy colleges and universities, combined with actual situation a college or university, preliminary selection indexes is made. The Delfel method must be used to screen indicators then determine system. With help hierarchical analysis algorithm, calculate weight value each index, formulate factor set comment set, construct fuzzy model. Adopt model paper explore current development. comprehensive matrix three-level school 3.7519, 6.2918, 3.353, 3.407, 3.1964. Based on principle maximum affiliation, results are good, at same time, it maps that there problem order promote university teachers have excellent literacy, puts forward two optimization strategies, namely, training sound appraisal mechanism. To quality teachers, strategies proposed, assessment mechanisms.

Язык: Английский

Процитировано

0