Journal of Computer Information Systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34
Published: April 1, 2025
Language: Английский
Journal of Computer Information Systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34
Published: April 1, 2025
Language: Английский
Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Language: Английский
Citations
0E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 619, P. 03004 - 03004
Published: Jan. 1, 2025
Facial recognition is, therefore, a crucial aspect of biometric systems used when authenticating as well verifying people’s identity. But here natural aging increases number difficulties concerning accuracy and long-term reliability the control stated above. In this paper, new method real-time face simulation in context variance using Generative AI; specifically, GANs, is proposed. The proposed model tries to use generative AI generation improved synthetics with modified age appearance, allowing capture or antiaging changes facial features. This approach assessed experimentally from one database another datasets principal area interest future faces long run respect groups. work also looks at strength robustness for problems. outcomes presented show that applying AI-based system paradigm improves performance specifically addressing variations thus proposing valuable solution age- related paper considers some possible consequences security, privacy, concerns practical application real systems.
Language: Английский
Citations
0European Journal of Medical and Health Research, Journal Year: 2025, Volume and Issue: 3(2), P. 104 - 121
Published: March 20, 2025
Rural Bangladesh is confronted with substantial healthcare obstacles, such as inadequate infrastructure, information systems, and restricted access to medical personnel. These obstacles impede effective disease control pandemic preparedness. This investigation employs a structured methodology develop analyze numerous plausible scenarios systematically. A purposive sampling strategy was implemented, which involved the administration of questionnaire survey 264 rural residents in Rangamati district completion distinct by 103 The impact effectiveness study are assessed through logistic regression analysis pre-post comparison that Wilcoxon Signed-Rank test Kendall's coefficient for non-parametric paired categorical variables. evaluates evolution preparedness prior subsequent implementation Generative AI-Based Model 4.0. results indicate trust AI (β = 1.20, p 0.020) confidence sharing health data 9.049, most significant predictors adoption. At same time, infrastructure limitations digital constraints continue be constraints. concludes resilience marginalized populations can improved AI-driven, localized strategies. integration into systems offers transformative opportunity, but it contingent upon active community engagement, enhanced literacy, strong government involvement.
Language: Английский
Citations
0Deleted Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 27, 2025
Language: Английский
Citations
0Journal of Computer Information Systems, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34
Published: April 1, 2025
Language: Английский
Citations
0