Article
Geochemistry & Geophysics
Vlad-Cristian Miclea, Sergiu Nedevschi
Summary: Environment perception by computing depth is crucial for unmanned aerial vehicle (UAV) systems. However, due to limited payload capacity, most drones are equipped with a single camera, making it challenging to use depth perception methods based on LiDAR or stereo reconstruction. In this study, we propose a novel approach for monocular depth estimation (MDE) on aerial images using a customized CNN. Additionally, we introduce a learning-based correction method to improve accuracy at both short and long ranges. Our method demonstrates accurate and reliable depth estimation in various aerial scenarios, as shown on synthetic and real-life images captured by a drone.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Optics
Bo You, Mingze Sun, Jiayu Li
Summary: This paper proposes a high-accuracy pose estimation algorithm based on the YOLO network and residual network. It uses ArUco markers as a reference for object localization and takes RGB images as input. By extracting feature images through 16 and 32 samplings, and identifying the feature images through the convolutional layer, the algorithm solves the camera pose using the EPnP algorithm and outputs the pose information of the target object.
OPTICAL ENGINEERING
(2023)
Article
Energy & Fuels
Jinsong Li, Sudi Xu, Hao Liu, Tianshu Bi
Summary: This paper proposes a PMU calibrator phasor algorithm with low computational complexity and high accuracy to improve the measurement performance of PMUs. The method uses an enhanced DFT algorithm and a framework consisting of two-stage filters and a signal recognition module to achieve high-accuracy measurements of dynamic signals at a low reporting rate.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Dou ZiWen, Li YuQi, Ye Dong
Summary: In this paper, a novel approach for balancing speed and accuracy in monocular depth estimation on edge devices is proposed. The FasterMDE model achieves a better balance of speed and accuracy compared to previous methods on the KITTI and NYUv2 datasets. The real-time performance of FasterMDE is validated in realistic scenarios.
APPLIED INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Xueping Zhang, Zongwei Han, Gui Li, Xiuming Li
Summary: This paper uses artificial neural network (ANN) to establish the mapping relationship between temperature response and soil thermophysical parameters, and compares the identification accuracy of traditional methods and ANN under different measurement errors. The results show that ANN has high identification accuracy and stability.
Review
Computer Science, Interdisciplinary Applications
Alberto Casagrande, Francesco Fabris, Rossano Girometti
Summary: Since 1948, Shannon's information theory has been widely applied in various fields, especially in medical diagnostics. This article mainly focuses on the contributions of Shannon's methods in assessing diagnostic test accuracy and rater agreement, and introduces a unified information-theoretical approach to handle the flows of information involved.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Engineering, Multidisciplinary
Hongliang Zhao, Dong Ye, Yubo Guo, Gang Chen
Summary: This study explores the influence of imaging and neural network on the accuracy of spacecraft pose estimation using approximate Bayesian inference in the depth Gaussian process, and conducts systematic verification experiments. The results show that selecting suitable cameras and parameter settings can effectively reduce estimation errors and achieve a good balance between estimation accuracy and computational overhead.
ENGINEERING RESEARCH EXPRESS
(2022)
Article
Veterinary Sciences
Ibrahim Elsohaby, Jawher Alahadeb, Yasser S. Mahmmod, Marshal M. Mweu, Heba A. Ahmed, Mohamed M. El-Diasty, Attia A. Elgedawy, Eman Mahrous, Fatma El Hofy
Summary: This study aimed to evaluate the sensitivity and specificity of diagnostic tests for M. bovis infection in Egyptian dairy cattle herds. Results showed that RT-PCR and RLFT performed better than SCT, indicating their potential for routine use in the control program for bovine tuberculosis in Egypt.
VETERINARY SCIENCES
(2021)
Article
Psychology, Educational
Joseph A. Rios, James Soland
Summary: The study found that the EM-IRT model provides better item parameter estimates and equal mean ability estimates compared to the traditional IRT model when facing violations to the model's assumptions under realistic conditions. Bias values were observed for the EM-IRT model in one assumption violation scenario, but they were still lower than the traditional 2PL model. Overall, the EM-IRT model showed superior performance in parameter estimation under violations to its assumptions.
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
(2021)
Article
Biology
Clara Drew, Moses Badio, Dehkontee Dennis, Lisa Hensley, Elizabeth Higgs, Michael Sneller, Mosoka Fallah, Cavan Reilly
Summary: This paper discusses various methods for evaluating diagnostic test results in the absence of a gold standard. The authors specifically focus on applying a maximum likelihood estimate for a latent class model using the Expectation-Maximization algorithm to longitudinal data where test sensitivity changes over time. They also propose two simplified nonparametric methods and compare their accuracy to the maximum likelihood estimation results.
Article
Cardiac & Cardiovascular Systems
Mikkel T. Hansen, Tue Romer, Amalie Hojgaard, Karina Husted, Kasper Sorensen, Samuel E. Schmidt, Flemming Dela, Jorn W. Helge
Summary: This study investigated the validity and reliability of Seismofit in estimating V.O(2)peak in a healthy population. The results showed that Seismofit had a high level of consistency in its estimation, but further improvement is needed in the clinical application due to measurement errors and a MAPE value exceeding 10%.
CARDIOVASCULAR DIGITAL HEALTH JOURNAL
(2023)
Article
Ophthalmology
Wei Hou, Thomas T. Norton, Leslie Hyman, Jane Gwiazda
EYE & CONTACT LENS-SCIENCE AND CLINICAL PRACTICE
(2018)
Article
Ophthalmology
Tawna L. Roberts, Ruth E. Manny, Julia S. Benoit, Heather A. Anderson
OPTOMETRY AND VISION SCIENCE
(2018)
Article
Ophthalmology
Juan Huang, Matthew J. Lentsch, Jason D. Marsack, Heather A. Anderson
CLINICAL AND EXPERIMENTAL OPTOMETRY
(2019)
Article
Ophthalmology
Ayeswarya Ravikumar, Julia S. Benoit, Jason D. Marsack, Heather A. Anderson
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2019)
Article
Ophthalmology
Rami Aboumourad, Heather A. Anderson
OPTOMETRY AND VISION SCIENCE
(2019)
Article
Ophthalmology
Jason D. Marsack, Julia S. Benoit, Pete S. Kollbaum, Heather A. Anderson
OPTOMETRY AND VISION SCIENCE
(2019)
Article
Ophthalmology
Heather A. Anderson, Ayeswarya Ravikumar, Julia S. Benoit, Jason D. Marsack
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2019)
Article
Ophthalmology
Julia S. Benoit, Ayeswarya Ravikumar, Jason D. Marsack, Heather A. Anderson
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2020)
Article
Ophthalmology
Heather A. Anderson, Julia S. Benoit, Jason D. Marsack, Ruth E. Manny, Ayeswarya Ravikumar, Karen D. Fern, Kelsey R. Trast
Summary: This study aims to explore new strategies to determine optical corrections that may reduce commonly observed visual deficits in individuals with Down syndrome. The good intersession repeatability of acuity found in this study (six letters) indicates that, despite the presence of reduced acuity, adults with Down syndrome performed the outcome measure for this clinical trial reliably.
OPTOMETRY AND VISION SCIENCE
(2021)
Article
Ophthalmology
Heather A. Anderson, Jason D. Marsack, Julia S. Benoit, Ruth E. Manny, Karen D. Fern
Summary: This study suggests that using an objective refraction strategy could be a suitable alternative for determining refractive corrections for adults with Down syndrome, as it resulted in similar visual acuity outcomes compared to clinical techniques.
OPTOMETRY AND VISION SCIENCE
(2022)
Article
Ophthalmology
Heather A. Anderson, Melissa D. Bailey, Ruth E. Manny, Chiu-Yen Kao
Summary: This study investigated the relationship between ciliary muscle thickness (CMT), age, and refractive error in adults with Down syndrome. The findings showed that the CMT in individuals with Down syndrome was similar to previous reports, and thinning CMT was associated with increasing age.
OPHTHALMIC AND PHYSIOLOGICAL OPTICS
(2022)
Article
Ophthalmology
Heather A. Anderson, Anusha Rachel Mathew, Han Cheng
Summary: The study aimed to assess the intrasession repeatability of a contrast sensitivity test in children and compare it with an established test. The results showed that the SpotChecks test had good intrasession repeatability and excellent agreement with the Pelli-Robson test in children. Additionally, contrast sensitivity increased with age in children for both tests.
OPHTHALMIC AND PHYSIOLOGICAL OPTICS
(2023)
Article
Ophthalmology
Maureen D. Plaumann, Jason D. Marsack, Julia S. Benoit, Ruth E. Manny, Heather A. Anderson
Summary: Purpose: The study compared dioptric differences in refractive correction for individuals with Down syndrome using standard clinical techniques versus two metric-optimized methods (VSX and PFSt). The results showed significant differences in refractive endpoints, which were related to increased higher order aberrations and myopic refractive error. Methodology based on wavefront aberrometry may explain these differences.
OPHTHALMIC AND PHYSIOLOGICAL OPTICS
(2023)
Article
Ophthalmology
Tawna L. Roberts, Ruth E. Manny, Heather A. Anderson
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2019)