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BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves.
Data Brief
February 2025
Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
In the field of agriculture, particularly within the context of machine learning applications, quality datasets are essential for advancing research and development. To address the challenges of identifying different mango leaf types and recognizing the diverse and unique characteristics of mango varieties in Bangladesh, a comprehensive and publicly accessible dataset titled "BDMANGO" has been created. This dataset includes images essential for research, featuring six mango varieties: Amrapali, Banana, Chaunsa, Fazli, Haribhanga, and Himsagar, which were collected from different locations.
View Article and Find Full Text PDFValidity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.
Eur J Sport Sci
February 2025
Faculty of Education, Psychology and Sport Sciences, COIDESO, University of Huelva, Huelva, Spain.
The present study aimed to explore the validity and inter-device reliability of a novel artificial intelligence app (Asstrapp) for real-time measurement of the traditional (tra505) and modified-505 (mod505) change of direction (COD) tests. Twenty-five male Sports Science students (age, 23.5 ± 3.
View Article and Find Full Text PDFEvaluating smartphone-based 3D imaging techniques for clinical application in oral and maxillofacial surgery: A comparative study with the vectra M5.
Oral Maxillofac Surg
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Purpose: This study aimed to clarify the applicability of smartphone-based three-dimensional (3D) surface imaging for clinical use in oral and maxillofacial surgery, comparing two smartphone-based approaches to the gold standard.
Methods: Facial surface models (SMs) were generated for 30 volunteers (15 men, 15 women) using the Vectra M5 (Canfield Scientific, USA), the TrueDepth camera of the iPhone 14 Pro (Apple Inc., USA), and the iPhone 14 Pro with photogrammetry.
3D Breast Scanning in Plastic Surgery Utilizing Free iPhone LiDAR Application: Evaluation, Potential, and Limitations.
Aesthet Surg J
January 2025
Department of Plastic and Reconstructive Surgery, Brussels University Hospital - Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Article Synopsis
- Mobile LiDAR technology, using the iPhone's LiDAR scanner, offers an affordable alternative to traditional 3D imaging in plastic surgery, potentially increasing accessibility for surgical planning.
- In a study involving 25 patients, LiDAR measurements proved highly accurate for most breast measurements and showed excellent inter-rater reliability.
- The analysis indicated a significant cost reduction of 97.8% compared to conventional 3D systems, with measurement accuracy stabilizing after just a few uses.
Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study.
JMIR Aging
December 2024
Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA, 01702, United States, 1 508 935-3461.
Background: Smartphone apps can be used to monitor chronic conditions and offer opportunities for self-assessment conveniently at home. However, few digital studies include older adults.
Objective: We aim to describe a new electronic cohort of older adults embedded in the Framingham Heart Study including baseline smartphone survey return rates and survey completion rates by smartphone type (iPhone [Apple Inc] and Android [Google LLC] users).
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