Research on a path-tracking control system of unmanned rollers based on an optimization algorithm and real-time feedback by Ma Haosen

“…The unmanned double steel wheel vibration roller enhances high-quality unmanned compaction operations by ensuring precise walking control, thus avoiding human error-related issues like under- and over-compaction. However, its complex construction technology, cooperative operation challenges, and high construction quality demands present significant difficulties for unmanned operation. …”
Get full text

Design and Implementation of a Modular Bidirectional Switch Using SiC-MOSFET for Power Converter Applications by Edgar Maqueda, Jorge Rodas, Sergio Toledo, Raúl Gregor, David Caballero, Federico Gavilan, Marco Rivera

“…This paper presents a novel modular design of a Bi-Sw with the purpose of providing to beginner researchers the key issues to design a power converter. The Bi-Sw has been designed in modular form using the SiC-MOSFET device. …”
Get full text

A Chest Strap-Based System for Electrocardiogram Monitoring by Xiaoman Zhang, Yaoliang Zhan, Xue Wang, Jin Yang

“…To address the issues of poor comfort and limited mobility associated with traditional ECG monitoring systems, this study developed a chest strap ECG monitoring system (CEMS) utilizing silver-coated polyamide yarn. …”
Get full text

Sediment Transport Model for a Surface Irrigation System by Damodhara R. Mailapalli, Narendra S. Raghuwanshi, Rajendra Singh

“…Controlling irrigation-induced soil erosion is one of the important issues of irrigation management and surface water impairment. …”
Get full text

Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…Additionally, deep learning models often struggle to generalize from simulated to in vivo data due to significant disparities between the two domains. To address these issues, we propose a novel approach using the DEformable DEtection TRansformer (DE-DETR). …”
Get full text

Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

“…The CRDCNN employs multi-level cross-residual connections and depthwise separable convolutions to enhance feature diversity while mitigating issues such as gradient vanishing and overfitting. …”
Get full text

Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction by Aihua Zhang

“…Nonetheless, existing approaches grapple with issues encompassing insufficient sharing patterns, dependence on static relationship presumptions, and an inability to effectively grasp the intricate trends and cyclic attributes of traffic flow. …”
Get full text

Preconditions for Returning Highly-Profitable Shot Lots to Railway Transport by D. A. Bakunin, K. I. Shvedin, S. O. Litvintsev

“…Issues of tariffing goods transportation in new intermodal transport units were analyzed and the use of through tariff rate was grounded.…”
Get full text

Formation of potential foreign language teachers’ research competence at the university as a condition for the modernisation of education by M. M. Mombekova

“…The investigation of student research competence development, closely related to the issues of organising educational and scientific research activities in the university environment, is an urgent problem in higher education. …”
Get full text

Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery by Yu Lin, Shuiyuan He, Weidong Luo

“…This study introduces Dynamic Margin Contrastive Learning (DMCL), a novel framework that simultaneously addresses both issues through adaptive margin adjustment and uncertainty-aware feature learning. …”
Get full text

YOLO11m-SCFPose: An Improved Detection Framework for Keypoint Extraction in Cucumber Fruit Phenotyping by Huijiao Yu, Xuehui Zhang, Jun Yan, Xianyong Meng

“…Additionally, an improved C3K2_PartialConv neck module is used to enhance information interaction and fusion among multi-scale features while maintaining computational efficiency. …”
Get full text

METHODOLOGICAL ASPECTS AND RESULTS OF CONDUCTING FOCUS GROUP INTERVIEWS IN THE STUDY OF THE OPINION OF CHILDREN LEFT BEHIND BY LABOR MIGRATION by Elena VACULOVSCHI

“…Each module, the experience of conducting focus group interviews and the results of the opinion study of children left behind by labor force migration were presented and analyzed in depth in the article.…”
Get full text

Engaging e-Learning in Higher Education: An Empirical Student Engagement Model for LMS-Mediated e-Tutorials by Stephen Kigundu

“…The research highlights critical issues in current e-tutorial designs and proposes actionable improvements. …”
Get full text

An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…To tackle these challenges, we propose a systematic modular approach that consists of three modules, Module-1: Data Pre-processing, Module-2: Data Balancing, and Module-3: Blending Classification. …”
Get full text

Evaluation of combat effectiveness of unmanned aerial vehicle group in uncertain situations by SUN Pengyao, HUANG Yanyan, WANG Kaisheng, WU Kui

“…Secondly, design a combat method calculation module based on the various steps of the closed-loop combat environment, and combine the designed parameter setting module, battlefield situation generation and recording module, global progress controller, and combat data recording module to form a complete simulation system for unmanned aerial vehicle group observation and combat process. …”
Get full text

Mandating a Culture of Service: Pro Bono in the Law School Curriculum by Les A McCrimmon

“…An important educational issue in legal higher education is the integration of skills into the undergraduate curriculum.1 This raises a whole series of questions including: What are these skills? …”
Get full text

Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Therefore, the few-shot learning model is easily disturbed by class-irrelevant features, which results in a decrease in accuracy. To address this issue, we propose a task-oriented local feature rectification network (TLFRNet) with two feature rectification modules (support rectification module and query rectification module). …”
Get full text

Electronic Health Record Systems in Limited Resource Settings: A Comprehensive Evaluation of the Impilo Platform by Hamufare Dumisani Mugauri, Memory Chimsimbe

“…However, problems such as module issues, knowledge gaps, internet connectivity, interoperability, human resource shortages and power constraints hinder its full potential. …”
Get full text

DBTU-Net: A Dual Branch Network Fusing Transformer and U-Net for Skin Lesion Segmentation by Wanqing Peng, Jiaojiao Li, Dandan Lai, Qiaomin Lin, Ying Han, Guangrong Huang

“…To address the aforementioned issues, we propose a dual branch network fusing Transformer and U-Net (DBTU-Net). …”
Get full text

A Modular XR Collaborative Platform for Occupational Safety and Health Training: A Case Study in Circular Logistics Facilities by Ali Vatankhah Barenji, Jorge E. Garcia, Benoit Montreuil

“…This is because health issues are more complex than safety issues, since biological outcomes may take time to develop, are affected by multiple resources, and cumulative injuries may occur. …”
Get full text