CIRP Annals, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
CIRP Annals, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 231, P. 120495 - 120495
Published: May 23, 2023
Language: Английский
Citations
182Robotics and Computer-Integrated Manufacturing, Journal Year: 2022, Volume and Issue: 81, P. 102515 - 102515
Published: Dec. 30, 2022
Language: Английский
Citations
163Journal of Manufacturing Processes, Journal Year: 2023, Volume and Issue: 107, P. 574 - 619
Published: Nov. 8, 2023
Language: Английский
Citations
118Reliability Engineering & System Safety, Journal Year: 2022, Volume and Issue: 232, P. 109068 - 109068
Published: Dec. 28, 2022
Language: Английский
Citations
80Comunicar, Journal Year: 2023, Volume and Issue: 31(77)
Published: June 18, 2023
The term 'Artificial Intelligence' was coined in 1956 at a conference Dartmouth College and since then it has undergone constant development evolved radically. Prominent pioneers of the include John McCarthy, Marvin Minsky, Allen Newell, Herbert A. Simon. application AI education worldwide increased dramatically with its importance growing an increasing rate. objective this research is to bibliometrically analyze applications contemporary education. methodology includes Prisma articles three fundamental databases: Scopus (n=390), Mendeley (n=113), Science Direct (n=3,594). A total n=4,097 English Spanish were analyzed. systematic literature review recent works employed mixed approach using quantitative qualitative methods. It inferred by authors that revolutionizing offering personalized efficient solutions improve students’ learning. One main conclusions education, students are one groups most affected AI. Furthermore, human intelligence teachers plays role they adapt their methodologies leverage new technologies. Finally, worth noting decisions made schools universities support educational models based on technology. El término «Inteligencia Artificial» fue acuñado en una conferencia College, y desde entonces, este ha experimentado un desarrollo constante evolucionado de manera significativa. Algunos los pioneros más destacados incluyen Newell La aplicación la inteligencia artificial educación aumentado considerablemente nivel mundial dinámica era digital. objetivo investigación es analizar bibliométricamente las incidencias IA contemporánea. metodología contiene tres bases datos fundamentales (n=113) (n=3.594), para n=4.097 artículos idioma inglés español. revisión sistematizada literatura reciente tiene enfoque mixto, cuantitativos cualitativos empleando varios paradigmas función del objetivo, se obtiene que revolucionado educación, ofreciendo soluciones personalizadas eficientes mejorar el aprendizaje estudiantes. En principales conclusiones plantea términos teóricos mayor impacto están estudiantes como elemento principal Por otra parte, profesores juegan papel proceso través sus metodologías uso estas tecnologías. Así mismo currículos educacionales mediante toma decisiones colegios universidades apostando por nuevos modelos tecnológicos educativos.
Citations
60International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 94, P. 103373 - 103373
Published: May 27, 2024
Language: Английский
Citations
53Nano Energy, Journal Year: 2023, Volume and Issue: 113, P. 108559 - 108559
Published: May 26, 2023
Language: Английский
Citations
51CIRP Annals, Journal Year: 2024, Volume and Issue: 73(2), P. 723 - 749
Published: Jan. 1, 2024
Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI) has seen accelerated growth since beginning 21st century. Successful AI applications have been broadly reported, with Industry 4.0 providing a thematic platform for AI-related research development in manufacturing. This paper highlights manufacturing, ranging from production system design planning to process modeling, optimization, quality assurance, maintenance, automated assembly disassembly. In addition, presents an overview representative manufacturing problems matching solutions, perspective future leverage towards realization smart
Language: Английский
Citations
40Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105598 - 105598
Published: July 4, 2024
Language: Английский
Citations
25Energy & Fuels, Journal Year: 2024, Volume and Issue: 38(3), P. 1593 - 1617
Published: Jan. 16, 2024
This review illuminates the pivotal synergy between machine learning (ML) and biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, biochemicals. Biobased polymers, derived from renewable sources, have garnered attention for roles in energy fuel sectors. These when integrated with ML techniques, exhibit enhanced functionalities, optimizing systems, storage, conversion. Detailed case studies reveal of biobased polymers applications industry, further showcasing how bolsters efficiency innovation. The intersection also marks advancements biochemical production, emphasizing innovations drug delivery medical device development. underscores imperative harnessing convergence future global sustainability endeavors collective evidence presented asserts immense promise this union holds steering a innovative trajectory.
Language: Английский
Citations
19