A Lightweight Two-Step Detection Method for Real-Time Small UAV Detection by Sungkyu Jung, Jaeyeon Jang, Chang Ouk Kim

“…In response to this demand, various studies have explored deep learning-based UAV detection approaches that can attain increased detection accuracy and efficiency. …”
Get full text

Changing the school: students' point of view about educational innovation by Sara Mori, Elettra Morini, Francesca Storai

Get full text

Algorithm for Determining the Position of a Ship Hull-Cleaning Robot by Konrad Chwełatiuk, Anna Kubina, Marcin Michalak, Marek Sikora, Piotr Ściegienka, Łukasz Wróbel

“…The paper explores the development and evaluation of algorithms for the positioning of ship hull cleaning robots, focusing on machine learning and sensor fusion techniques. …”
Get full text

The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning by N. M. Vostrikova

“…The concept and the structural-functional model of the fundamental chemical training of bachelors in the information-and-activity-based educational environment of blended learning have been proposed. …”
Get full text

General retrieval network model for multi-class plant leaf diseases based on hashing by Zhanpeng Yang, Jun Wu, Xianju Yuan, Yaxiong Chen, Yanxin Guo

Get full text

Approaches to teaching evidence-based medicine in residency: a systematic review by Kathleen Mathieson, Megan Weemer, Laura Lipke

“…Background Studies of evidence-based medicine (EBM) curricula in graduate medical education are common, but little consensus exists on the best methods to teach EBM.Objective The purpose of the current study was to evaluate EBM teaching approaches for graduate medical trainees and to update a 2014 systematic review.Methods We conducted a systematic literature search of major health and education databases for articles published from January 2014 through October 2022. …”
Get full text

Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

Get full text

Development of students’ subject position in the process of internship in an inclusive school by A. A. Baranov, A. S. Suntsova

“…A working definition of the subject position of the teacher is given. The teacher’s subject position consists not only in the complex of specific knowledge and competencies learned and applied in practice, but also, and above all, in a high level of self-organisation and self-determination of the individual in non-standard situations. …”
Get full text

A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In this research, as a preliminary study on rail break detection system, a deep learning-based discontinuous rail position classification method, which is using vibration data obtained from distributed acoustic sensing (DAS) system during train operation, is proposed. …”
Get full text

Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions. by Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz

Get full text

Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

Get full text

A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE by Van-Hung Le, Thi-Ha-Phuong Nguyen

“…The studies were surveyed based on the order of methods, datasets, evaluation measures, and detailed results. …”
Get full text

Automated Recognition and Measurement of Corrugated Pipes for Precast Box Girder Based on RGB-D Camera and Deep Learning by Jiongyi Zhu, Zixin Huang, Dejiang Wang, Panpan Liu, Haili Jiang, Xiaoqing Du

Get full text

Screening Model for Bladder Cancer Early Detection With Serum miRNAs Based on Machine Learning: A Mixed‐Cohort Study Based on 16,189 Participants by Cong Lai, Zhensheng Hu, Jintao Hu, Zhuohang Li, Lin Li, Mimi Liu, Zhikai Wu, Yi Zhou, Cheng Liu, Kewei Xu

“…ABSTRACT Background Early detection of bladder cancer (BCa) can have a positive impact on patients' prognosis. However, there is currently no widely accepted method for early screening of BCa. …”
Get full text

Similarity based city data transfer framework in urban digitization by Haoxiang Wang, Xiaoping Che, Enyao Chang, Chenxin Qu, Ganghua Zhang, Zihan Zhou, Zhenlin Wei, Gengyu Lyu, Pengfei Li

“…To solve this problem, we propose a similarity-based cross-city transfer learning method named TransCSM, which embeds the urban similarity into an adaptation transfer learning framework to achieve desired data transfer. …”
Get full text

Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method by Shan He, Fengshi Jing, Hao Ren, Yanning Xiao, Xia Sebastiane Chen, Ruihong Tang, Yue Qiu, Junwei Zeng, Tianyu Gao, Junhao Huang

“…Objective This study investigates family sentiments and attitudes toward sports participation by ASD individuals, leveraging longitudinal data from Sina Weibo and machine learning–based sentiment analysis. Methods We collected Weibo posts containing the keyword “autism” from January 2020 to April 2023, filtered for sports‑related content, and divided the dataset into ten four‑month intervals. …”
Get full text

Machine learning–based quantification of overall and internal ultrasound characteristics for diagnosing malignant partially cystic thyroid nodules by Yutong Zhang, Jue Jiang, Aqian Chen, Dong Zhang, Dong Zhang, Lirong Wang, Xin Yuan, Xin He, Shanshan Yu, Juan Wang, Qi Zhou

“…The model demonstrated an accuracy of 0.91 (0.85-0.95), a sensitivity of 0.88 (0.73-0.97), a specificity of 0.92 (0.85-0.96), a negative predictive value of 0.96 (0.91-0.99), and a positive predictive value of 0.77 (0.61-0.89). This comprehensive model significantly outperformed the model utilizing only overall nodule characteristics (AUC = 0.85, P = 2.35e-6), and demonstrated comparable effectiveness to the model based solely on internal characteristics (AUC = 0.93, P = 1.01e-1).DiscussionThe results support the clinical utility of an ML-driven approach that integrates comprehensive ultrasound metrics for the reliable identification of malignant PCTNs.…”
Get full text

A Seasonal Fresh Tea Yield Estimation Method with Machine Learning Algorithms at Field Scale Integrating UAV RGB and Sentinel-2 Imagery by Huimei Liu, Yun Liu, Weiheng Xu, Mei Wu, Leiguang Wang, Ning Lu, Guanglong Ou

Get full text

An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

Get full text

Restricted Label-Based Self-Supervised Learning Using SAR and Multispectral Imagery for Local Climate Zone Classification by Amjad Nawaz, Wei Yang, Hongcheng Zeng, Yamin Wang, Jie Chen

Get full text