A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation by Feng Hu, Mengyun Zhang, Bo Chen

“…Final contour evolution will minimize the energy function. Thirdly, a correction term is employed to improve the performance of curve evolution according to the initial contour position, so wherever the initial contour being in the image, the object boundaries can be detected. …”
Get full text

Abnormal-Aware Multiperson Evaluation System with Improved Fuzzy Weighting by Shutong Ni

Get full text

Multiview Fusion 3D Target Information Perception Model in Nighttime Unmanned Intelligent Vehicles by Jijin Xu, Zhen Liang

Get full text

Accompanying Titanium Meshes and Titanium-Reinforced Membranes with Collagen Membranes in Vertical Alveolar Ridge Augmentations: A Systematic Review by Amir-Ali Yousefi-Koma, Reza Amid, Anahita Moscowchi, Hanieh Nokhbatolfoghahaei, Mahdi Kadkhodazadeh

Get full text

Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercis... by André B. Peres, Tiago A. F. Almeida, Danilo A. Massini, Anderson G. Macedo, Mário C. Espada, Ricardo A. M. Robalo, Rafael Oliveira, João P. Brito, Dalton M. Pessôa Filho

Get full text

Qualitative Analysis of Micro-System-Level Factors Determining Sport Persistence by Bence Tamás Selejó Joó, Hanna Czipa, Regina Bódi, Zsuzsa Lupócz, Rozália Paronai, Benedek Tibor Tóth, Hanna Léna Tóth, Oszkár Csaba Kocsner, Buda Lovas, Csanád Lukácsi, Mátyás Kovács, Karolina Eszter Kovács

Get full text

Exploring Individual Components of Sport Persistence in the Light of Gender, Education, and Level and Type of Sport by Benedek Tibor Tóth, Hanna Léna Tóth, Csanád Lukácsi, Oszkár Csaba Kocsner, Buda Lovas, Bence Tamás Selejó Joó, Hanna Czipa, Regina Bódi, Zsuzsa Lupócz, Rozália Paronai, Mátyás Kovács, Karolina Eszter Kovács

Get full text

Reliability and Validity Measures of the Patellofemoral Subscale KOOS-PF in Greek Patients with Patellofemoral Pain by Ioannis Moros, Eleni C. Boutsikari, George Plakoutsis, Elefterios Paraskevopoulos, George A. Koumantakis, Maria Papandreou

Get full text

Assessing the Test-Retest Reliability of MyotonPRO for Measuring Achilles Tendon Stiffness by Krystof Volesky, Jan Novak, Michael Janek, Jakub Katolicky, James J. Tufano, Michal Steffl, Javier Courel-Ibáñez, Tomas Vetrovsky

Get full text

Intra-Session Reliability and Predictive Value of Maximum Voluntary Isometric Contraction for Estimating One-Repetition Maximum in Older Women: A Randomised Split-Sample Study by José Aldo Hernández-Murúa, Ena Monserrat Romero-Pérez, Jorge Luis Guajardo-Cruztitla, Blas Sinahí Madrigal Olivares, Ángel Gallego-Selles, Diego González-Martín, Francisca Reyes-Merino, Nidia Sánchez-García, José Antonio de Paz

“…<b>Background:</b> Ageing is associated with a progressive decline in muscle strength, particularly in the lower limbs, which compromises functional independence. While both maximum voluntary isometric contraction (MVIC) and one-repetition maximum (1RM) are widely employed to assess muscle strength, the intra-session reliability and predictive capacity of MVIC for estimating 1RM in older women remain insufficiently explored. …”
Get full text

Optimization of Visual Information Presentation for Visual Prosthesis by Fei Guo, Yuan Yang, Yong Gao

“…By using edge detection and zooming technique, the two processing strategies significantly improve the recognition accuracy of objects. …”
Get full text

Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition by Rakesh Sengupta

“…This paper further extends the distance dependent RNN idea to a hierarchical computational model of visual working memory designed to parallel the structure and function of the visual processing hierarchy (VH). The model introduces a top-down feedback mechanism that dynamically refines object and feature representations, prioritizing object-level clarity initially and progressively localizing feature details through recurrent processing. …”
Get full text

A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…The YOLOV8, YOLOV11 on VOC2012 data and Object detection with Vision Transformers on Caltech 101 dataset are trained for Object detection. …”
Get full text

Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…Ablation studies were further performed to validate the effectiveness of the CBAM residual module and the perception similarity loss function in the network's overall architecture. Based on the generated rice disease samples, transfer learning experiments were conducted using various object detection models. …”
Get full text

The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…At the same time such STD parameters as the required accuracy of the results of technical diagnosis, allowable frequency and duration of diagnosis, a valid memory for storing diagnostic information for the STD for different purposes can vary within a wide range.Thus, the use of methods for test sets’ construction allows to obtain the algorithm of generation of all the necessary information for conducting diagnostic tests using the analytical form of the output function. The authors formulated conditions sufficient for the generation of the diagnostic sequence for the detection of constant errors in the combinational circuits on the base of the analytical form. …”
Get full text

The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Moreover, background noise interference is reduced by using object detection techniques. Additionally, a domain-adaptive transfer learning strategy and region-weighted loss function are designed, further enhancing the model’s accuracy and robustness in plant classification tasks. …”
Get full text

Development of Impact Factors Reverse Analysis Method for Software Complexes’ Support Automation by Andrii Pukach, Vasyl Teslyuk, Nataliia Lysa, Liubomyr Sikora

“…A key feature of the proposed approach is to assign the neurons of the hidden layers (of the multilayer perceptron type of artificial neural networks) functional–semantic meaning(s), which they have been deprived of a priori, performing (before this) by default an exclusively operational (calculation) function mainly for the correctness of the training and functioning of the multilayer perceptron itself. …”
Get full text

TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. …”
Get full text

Robust People Tracking Using an Adaptive Sensor Fusion between a Laser Scanner and Video Camera by Yeong Nam Chae, Yeong-Jae Choi, Yong-Ho Seo, Hyun S. Yang

“…Then, the laser scan data in the candidate region of an object is clustered into several clusters. A cluster which has maximum probability as an object is selected using a discriminant function. …”
Get full text

Local Classification Guiding Attention for <italic>Malania Oleifera</italic> Recognition by Yongke Sun, Yong Cao, Weili Kou, Chunjiang Yu, Ning Lu, Yi Yang, Lei Liu, Juan Wang

“…This method provides a new attention mechanism for object detection and a pixel level loss function for detecting irregularly shaped objects.…”
Get full text