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Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
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Youthful Students’ Perception of The Nursing Profession: A Preliminary Single-group Research
Abstract: Aim: This study had four objectives: (1) examine how adolescents perceive nursing before and after organized teaching programs; (2) examine how adolescents perceive nursing after structured teaching programs; (3) compare pre-test and post-test results to assess the efficacy of a structured teaching program; (4) relate the mean improvement in nursing image to particular demographic factors. Background: This study assists in identifying potential areas for improvement or any potential interventions to …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article