AI and cybersecurity, business protection in an interconnected world: systematic literature review DOI
Iris María Cantillo Velásquez,

Jhon Wolfgang Echeverry David,

Yerlis Patricia Martínez Taborda

et al.

Management, Journal Year: 2024, Volume and Issue: 3, P. 116 - 116

Published: Oct. 8, 2024

In an increasingly interconnected world, cyber threats are constantly evolving, with malicious actors developing sophisticated methods to attack enterprise systems. Traditional cybersecurity methods, such as firewalls and antivirus software, insufficient protect organizations from these advanced threats. A more proactive approach is needed identify stop before they cause significant damage. This research seeks understand the current state of artificial intelligence (AI) in cybersecurity, best practices methodologies for implementing effective AI solutions. To do this, authors were based on a systematic review literature, adopting AI, business protection fundamental categories. The search was mainly databases engines Scopus, Science Direct Redalyc. processed information graphed through VOSviewer software Lens.org platform. usefulness applications evident. entails challenge updating tools order achieve greater security users

Language: Английский

A semi-automated systematic review of literature reviews in construction engineering and management research DOI Creative Commons
Khwaja Mateen Mazher

Frontiers in Built Environment, Journal Year: 2025, Volume and Issue: 11

Published: April 16, 2025

Review studies are critical in all knowledge domains to benchmark the state-of-the-art at a given point time and identify possible future research directions. Due fragmented ever evolving nature of construction industry, field engineering management (CEM) is growing exponentially. Researchers across world publishing reviews CEM body this has become large significant. While considering literature as separate class research, there been no attempt date analyze document publication trends summarize methods approaches being utilized drafting these reviews. Moreover, documented reference that tracks or highlights concentration scarcity various sub-domains research. Following PRISMA protocol, systematic review (SLR) aims existing chart growth interest researchers A total 549 were obtained from Scopus database, 20 December 2024, based on relevance, accessibility, other inclusion exclusion criteria adopted for review. Bibliometric analysis shows an exponential annual with Australia, China, US, Hong Kong, UK leading growth. According metrics, journal Automation Construction published largest number CEM. Reviews focusing applications robots, automation, digital technologies constitute about 52% Part employed models ChatGPT data extraction shortlisted articles, therefore risk bias was minimized by using tool simple tasks only. This one its kind findings presented herein expected assist conducting more focused future.

Language: Английский

Citations

0

Predicting ICU Readmission from Electronic Health Records via BERTopic with Long Short Term Memory Network Approach DOI Open Access
Chih‐Chou Chiu,

Chung-Min Wu,

Te-Nien Chien

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(18), P. 5503 - 5503

Published: Sept. 18, 2024

The increasing rate of intensive care unit (ICU) readmissions poses significant challenges in healthcare, impacting both costs and patient outcomes. Predicting readmission after discharge is crucial for improving medical quality reducing expenses. Traditional analyses electronic health record (EHR) data have primarily focused on numerical data, often neglecting valuable text data.

Language: Английский

Citations

2

Topic Modeling for Faster Literature Screening Using Transformer-Based Embeddings DOI Open Access
Carlo Galli, Claudio Cusano,

Marco Meleti

et al.

Metrics, Journal Year: 2024, Volume and Issue: 1(1), P. 2 - 2

Published: Oct. 8, 2024

Systematic reviews are a powerful tool to summarize the existing evidence in medical literature. However, identifying relevant articles is difficult, and this typically involves structured searches with keyword-based strategies, followed by painstaking manual selection of evidence. A.I. may help investigators, for example, through topic modeling, i.e., algorithms that can understand content text. We applied BERTopic, transformer-based topic-modeling algorithm, two datasets consisting 6137 5309 articles, respectively, used recently published systematic on peri-implantitis bone regeneration. extracted title each article, encoded it into embeddings, input which then rapidly identified 14 22 clusters, automatically created labels describing these groups based their semantics. For both datasets, BERTopic uncovered variable number unrelated query, accounted up 30% dataset—achieving sensitivity 0.79 specificity at least 0.99. These could have been discarded from screening, reducing workload investigators. Our results suggest adding step screening process potentially save working hours researchers involved

Language: Английский

Citations

2

AI and education: combination to enhance knowledge DOI

Juan Sebastián Laverde Gonzalez,

Lay Aracely Rodríguez Hernández

Deleted Journal, Journal Year: 2024, Volume and Issue: 4, P. 37 - 37

Published: Oct. 11, 2024

Artificial intelligence (AI) has revolutionized numerous fields, education is one of the most benefited. Technologies like Chat GPT have marked a before and after in evolution AI, providing tools to automate repetitive tasks, allowing educators dedicate more time students. In addition optimizing resource management, AI personalizes through advanced algorithms data analysis, adapting resources methodologies individual needs each student. This facilitates learning, promotes inclusion offers effective education, especially for people with disabilities or diverse learning styles. this article, bibliometric review was carried out on relationship between education. The essential requirements search were scientific texts published last five years (2020-2024) be found Scopus Web Science databases, fundamentally. opens new perspectives educational research, allows detailed analysis large volumes can identify previously undetected areas improvement

Language: Английский

Citations

1

High-dimensional projected clustering for learner competency analysis in medical training programs DOI Creative Commons

Sandhya Harikumar,

C. S. Jayamohan Pillai,

V. Vani Chithra

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 171807 - 171823

Published: Jan. 1, 2024

Language: Английский

Citations

1

Scientific production on risks and financial instruments for commodity management DOI Creative Commons
Carlos Julio Rojas-Hermida, John Edisson García Peñaloza, Ricardo León Castro Zamora

et al.

Data & Metadata, Journal Year: 2024, Volume and Issue: 3, P. 529 - 529

Published: Nov. 8, 2024

Introduction: Commodity management benefits from a variety of financial instruments and tools that allow companies to mitigate risks optimize their operations. Among the most used are futures contracts, contracts for difference, risk such as insurance investment funds. The objective this article is analyze scientific production on raw materials. Methodology: research paradigm mixed, through combination qualitative quantitative methods. A bibliometric analysis was carried out which complemented with documentary review. study synthesized in three stages Google Scholar, Scielo SCOPUS databases, during period 1991 2024, without limitations language. Results: literature review shows an increase adoption digital technologies improve internal communication employee engagement, Brazil leader Latin American region. In addition, endomarketing identified key element attracting retaining talent, especially sectors high competition shortage specific skills. Likewise, its contribution organizational sustainability highlighted, focusing social dimension by promoting well-being development employees. Conclusion: These findings reflect how has been integrated into business strategies align corporate objectives values ​​of responsibility job satisfaction, consolidating itself essential tool improving productivity long-term commitment.

Language: Английский

Citations

1

Embeddings for Efficient Literature Screening: A Primer for Life Science Investigators DOI Open Access
Carlo Galli, Claudio Cusano, Stefano Guizzardi

et al.

Metrics, Journal Year: 2024, Volume and Issue: 1(1), P. 1 - 1

Published: Sept. 30, 2024

As the number of publications is quickly growing in any area science, need to efficiently find relevant information amidst a large similarly themed articles becomes very important. Semantic searching through text documents has potential overcome limits keyword-based searches, especially since introduction attention-based transformers, which can capture contextual nuances meaning single words, sentences, or whole documents. The deployment these computational tools been made simpler and accessible investigators every field research thanks dedicated libraries, but knowledge how representation strategies work crucial making most out instruments. present aims at introducing technical evolution systems, from vectors embeddings transformers tailored life science with no previous natural language processing.

Language: Английский

Citations

0

AI and cybersecurity, business protection in an interconnected world: systematic literature review DOI
Iris María Cantillo Velásquez,

Jhon Wolfgang Echeverry David,

Yerlis Patricia Martínez Taborda

et al.

Management, Journal Year: 2024, Volume and Issue: 3, P. 116 - 116

Published: Oct. 8, 2024

In an increasingly interconnected world, cyber threats are constantly evolving, with malicious actors developing sophisticated methods to attack enterprise systems. Traditional cybersecurity methods, such as firewalls and antivirus software, insufficient protect organizations from these advanced threats. A more proactive approach is needed identify stop before they cause significant damage. This research seeks understand the current state of artificial intelligence (AI) in cybersecurity, best practices methodologies for implementing effective AI solutions. To do this, authors were based on a systematic review literature, adopting AI, business protection fundamental categories. The search was mainly databases engines Scopus, Science Direct Redalyc. processed information graphed through VOSviewer software Lens.org platform. usefulness applications evident. entails challenge updating tools order achieve greater security users

Language: Английский

Citations

0