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

et al.

Applied Data Science and Analysis, Journal Year: 2024, Volume and Issue: 2024, P. 148 - 164

Published: Sept. 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.

Language: Английский

AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions DOI Creative Commons
Mamdouh Alenezi, Mohammed Akour

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1344 - 1344

Published: Jan. 28, 2025

The software engineering landscape is undergoing a significant transformation with the advent of artificial intelligence (AI). AI technologies are poised to redefine traditional development practices, offering innovative solutions long-standing challenges. This paper explores integration into processes, aiming identify its impacts, benefits, and challenges that accompany this paradigm shift. A comprehensive analysis current applications in conducted, supported by case studies theoretical models. study examines various phases assess where contributes most effectively. enhances productivity, improves code quality, accelerates cycles. Key areas impact include automated generation, intelligent debugging, predictive maintenance, enhanced decision-making processes. revolutionizing introducing automation lifecycle. Embracing AI-driven tools methodologies essential for staying competitive evolving technological landscape.

Language: Английский

Citations

3
Helping to Choose a Robust Alternative: A Sensitivity Analysis and a Software Tool for Multi‐Criteria Decision‐Making DOI Open Access
Pavel Novoa‐Hernández, David A. Pelta, Carlos Cruz Corona

et al.

Expert Systems, Journal Year: 2025, Volume and Issue: 42(4)

Published: March 5, 2025

ABSTRACT Multicriteria decision‐making (MCDM) often involves evaluating or ranking alternatives on multiple attributes, a process that is far from trivial due to flexible preferences and uncertainty in the criteria importance. The recently proposed W eightless, I nterval‐ B ased A pproach (WIBA) tackles these issues by relying an ordering of (according their relevance) instead explicit weights using interval scores evaluate alternatives. Although originally for selecting solutions interest context multi‐objective many objective optimization problems, it can be adapted rank such solutions. However, robustness WIBA rankings has not been studied, sensitivity analysis approaches based perturbations cannot applied. Furthermore, there no friendly environment exploring properties. This paper addresses gaps (1) introducing novel local technique explore how small order affect rankings, (2) presenting WIBApp, freely available visual software tool implements features, including analysis. Using case study selection technical universities, first illustrates WIBA's flexibility utility real‐world decision scenarios, enabling makers effectively deal with complexity, second shows WIBApp simplifies data management, enhances facilitates comparisons among rankings. By advancing theoretical foundations providing practical implementation, this work contributes robust framework handling multi‐criteria enhancing reliability supporting informed decisions.

Language: Английский

Citations

0
Technological advancements in multi-modal knowledge graphs for engineering management DOI
Jingqi Zhang, Shaohua Jiang

Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Purpose This paper aims to provide an in-depth examination of the rapidly advancing field multi-modal knowledge graphs for engineering management (KGEM). It explores current research landscape, highlighting significant technological innovations and identifying promising areas future exploration development. The aim is offer a comprehensive review, focusing on how can enhance by integrating diverse data sources, improving decision-making processes optimizing resource allocation. Design/methodology/approach To conduct this study adopts hybrid review methodology, combining systematic techniques with narrative synthesis approach. systematically examines body KGEM, extracting synthesizing key findings across studies. process adheres Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, ensuring transparent rigorous selection relevant literature. Additionally, identifies gaps in existing landscape outlines potential avenues exploration, focus advancements integration decision support systems. Findings provides state three themes: (1) intelligent information management, (2) risk optimization (3) assistance. From these themes, major requirements are summarized: need more sophisticated methods integrate manage development advanced better assessment allocation enhancement systems through assistance real-time analysis. These highlight critical requiring further innovation research. Originality/value analysis emphasizing role sources By adopting methodology adhering PRISMA offers novel insights into data, Key contributions include advancements, trends proposing new exploration. planning, design, construction operational phases projects, driving progress overall project efficiency effectiveness.

Language: Английский

Citations

0
Ethical Principles of Integrating ChatGPT Into IoT–Based Software Wearables: A Fuzzy‐TOPSIS Ranking and Analysis Approach DOI Creative Commons
Maseeh Ullah Khan,

Muhammad Ullah,

Shahrukh Nawaz Khan

et al.

International Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The rapid development of the internet things (IoT) prompts organizations and developers to seek innovative approaches for future IoT device research. Leveraging advanced artificial intelligence (AI) models such as ChatGPT holds promise in reshaping conceptualization, development, commercialization devices. Through real‐world data utilization, AI enhances effectiveness, adaptability, devices wearables, expediting their production process from ideation deployment customer assistance. However, integrating into IoT–based wearables poses ethical concerns including ownership, security, privacy, accessibility, bias, accountability, cost, design, quality, storage, model training, explainability, consistency, fairness, safety, transparency, trust, generalizability. Addressing these principles necessitates a comprehensive review literature identify classify relevant principles. author identified 14 using systematic (SLR) with criteria frequency ≥ 50% based on similarities. Four categories emerge principles, culminating application Fuzzy‐TOPSIS analyzing, categorizing, ranking, prioritizing From technique results, principle security privacy is highly ranked software wearable ranking value “0.925” consistency coefficient index. This method, well‐established computer science, effectively navigates fuzzy uncertain decision‐making scenarios. pioneer outcomes this study provide taxonomy‐based valuable insight manufacturers, facilitating analysis, categorization, prioritization amid integration wearables’ research development.

Language: Английский

Citations

0
An MCDM Approach to Lean Tool Implementation for Minimizing Non-Value-Added Activities in the Precast Industry DOI Creative Commons
Haritha Malika Dara, Musa Adamu, Prachi Vinod Ingle

et al.

Infrastructures, Journal Year: 2025, Volume and Issue: 10(3), P. 55 - 55

Published: March 6, 2025

The construction industry is growing with the shortfall issues of productivity, functionality, and cost. Precast has significant potential to address these by incorporating lean principles. Lean focuses on enhancing value at every stage process. By combining two approaches, can effectively tackle challenges. This research aims achieve main objectives: (1). To establish a connection between tools non-value added (NVA) activities, (2). prioritize based their relevance major NVA activities. accomplish this, an extensive review literature was conducted examine adoption in various tasks. A questionnaire survey then employed identify root causes activities (criteria) determine most suitable for addressing each specific criterion. findings from multi-criteria decision decision-making (MCDM) analysis highlight that total quality management (TQM) ranked first methods while continuous improvement (CI) one method. Comparing all scenarios, it observed 5S CI have been fluctuating three rankings, remaining ranks very minute changes. Based are prioritized as TQM > JIT VSM PY.

Language: Английский

Citations

0
An interactive multiobjective energy management approach for grid-connected microgrids DOI
Anjali Mohan, Rintu Khanna, Karthik Thirumala

et al.

Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110310 - 110310

Published: April 1, 2025

Language: Английский

Citations

0
Knowledge-Enhanced Large Language Models for Ideation to Implementation: A New Paradigm in Product Design DOI

Zhinan Li,

Zhenyu Liu, Guodong Sa

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113147 - 113147

Published: April 1, 2025

Language: Английский

Citations

0
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

et al.

International Journal of Computational Intelligence Systems, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 18, 2024

Language: Английский

Citations

2
Emerging Trends in Applying Artificial Intelligence to Monkeypox Disease: A Bibliometric Analysis DOI
Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Rabab Benotsmane

et al.

Applied Data Science and Analysis, Journal Year: 2024, Volume and Issue: 2024, P. 148 - 164

Published: Sept. 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.

Language: Английский

Citations

1