PIV-inspired triboelectric nanogenerator for airflow velocity sensing by Sijie Li, Hongyang Ning, Rui Lei, Fujian Zhang, Zhen Liu, Zhongqiang Zhang

“…Fluid diagnostic technologies play a central role in elucidating flow mechanisms, optimizing the performance of aerospace systems, supporting energy transition, and enhancing the operational efficiency of underwater equipment. However, conventional flow field measurement techniques are often limited by high costs, poor adaptability to complex environments, and demanding system requirements. …”
Get full text

Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…Large-scale match data from esports games like League of Legends are stored in complex JSON files that often exceed the input token limitations of large language models (LLMs), restricting advanced analysis and applications such as automated commentary and strategic insight generation. …”
Get full text

Enhanced Software Testing Model Under Software Warranty Policy Considering Debugger Learning and Time Postponement Factors by Wang Li, Chih-Chiang Fang

“…This allows for the selection of the most effective option. The model takes into account the learning curve, which can significantly impact the efficiency of the software testing process. …”
Get full text

Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

“…Specifically, it achieves a 64.39% reduction in poses compared to ACO and 71.07% compared to zigzag navigation, highlighting its efficiency in complex environments.…”
Get full text

Balancing Depth for Robustness: A Study on Reincarnating Reinforcement Learning Models by Gang Li, Zhuxiao Wang, Shaowei He, Xiyuan Chen, Yunlei Xie, Jiajun Hu, Kehe Wu, Jingping Jia

“…While deeper networks risk overfitting, shallower architectures struggle to cope with complex task dynamics. Our results highlight the key role of adaptive depth in enhancing the generalization, stability, and efficiency of RRL models.…”
Get full text

Spectrum Allocation and Power Control Based on Newton’s Method for Weighted Sum Power Minimization in Overlay Spectrum Sharing by Yang Yu, Xiaoqing Tang, Guihui Xie

“…Maximizing weighted sum energy efficiency (WSEE) requires solving complex multiple-ratio fractional programming (FP) problems. …”
Get full text

AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…However, underwater fish recognition faces challenges in complex aquatic environments, which hinder accurate detection and behavioral analysis. …”
Get full text

SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT by Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli

“…The shared-kmencoder architecture improves fault detection accuracy and ensures parameter efficiency/robustness, making it suitable for deployment in memory-constrained industrial environments.…”
Get full text

A Computational Framework for Automated Puncture Trajectory Planning in Hemorrhagic Stroke Surgery by Ziyue Ma, Feng Yan, Yongzhi Shan, Yaming Wang, Hong Wang

“…Skull quadrant theory and safety corridor modeling were used to avoid critical structures. Five complex clinical cases were used to validate the framework's performance. …”
Get full text

Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

“…Hence, it confirms the model’s robustness in capturing complex motor behavior. The proposed approach offers a reliable predictive tool suitable for integration into real-time control systems, enabling enhanced motor efficiency, early fault detection, and torque ripple mitigation.…”
Get full text

Onco-mNGS facilitates rapid and precise identification of the etiology of fever of unknown origin: a single-centre prospective study in North China by Bingbing Liu, Tengfei Yu, Ruotong Ren, Na Wu, Nanshu Xing, Jingya Wang, Wenjie Wu, Xuefang Cao, Jingping Zhang

“…Results Infection-related pathogenic detection efficiency rose from 25% (control group) to 48.48% (experimental group). …”
Get full text

A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…By achieving high accuracy and scalability, our method enables timely and reliable extraction of critical information from agronomic reports and policy documents-supporting applications such as precision irrigation planning, early detection of crop diseases, and efficient allocation of water resources in data-scarce regions.…”
Get full text

Multifunctional Hierarchical Metamaterials: Synergizing Visible-Laser-Infrared Camouflage with Thermal Management by Shenglan Wu, Hao Huang, Zhenyong Huang, Chunhui Tian, Lina Guo, Yong Liu, Shuang Liu

“…Furthermore, the RSHM demonstrates exceptional incident angle and polarization stability, maintaining robust performances even under complex detection conditions. This design is easy to expand relative to other frequency bands of the electromagnetic spectrum and holds significant potential for applications in military camouflage, energy-efficient buildings, and optical devices.…”
Get full text

Decoupled Classifier Knowledge Distillation. by Hairui Wang, Mengjie Dong, Guifu Zhu, Ya Li

“…Compared to using a single method, DCKD achieves superior results on both the CIFAR-100 and ImageNet datasets for image classification and object detection tasks, without reducing training efficiency. …”
Get full text

Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis by Demetris Trihinas, Panagiotis Michael, Moysis Symeonides

“…With generative Artificial Intelligence (AI) capturing public attention, the appetite of the technology sector for larger and more complex Deep Learning (DL) models is continuously growing. …”
Get full text

Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. …”
Get full text

Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…Experimental results demonstrate that the proposed MS-RRT* achieves a 100% exploration success rate in narrow channels, outperforming state-of-the-art methods in both efficiency and robustness. The improved SOLOv2 also surpasses Mask R-CNN in multi-category component recognition, ensuring reliable inspection in complex scenarios. …”
Get full text

Combining a COI Mini-Barcode with Next-Generation Sequencing for Animal Origin Ingredients Identification in Processed Meat Product by Yanyi Pan, Deyi Qiu, Jian Chen, Qiaoyun Yue

“…For revealing animal species in complex or adulterated processed meat product, we presented a method combining a novel cytochrome oxidase I (COI) mini-barcode with next-generation sequencing (NGS), which identifies various animal species (swine, bovine, Caprinae, and some of fish, shrimp, and poultry) accurately and efficiently in processed meat products. …”
Get full text

Clinical features of removing phakic intraocular lenses in cataract at high myopia by M. E. Konovalov, E. M. Molokotin

“…Before complex surgical intervention (FIOL + phacoemulsification) were carried out standard ophthalmo- logic examination, and also automatic detection of density of endothelial cells.Results: the developed technique of removal of FIOL included subconjunctival anesthesia, formation of a corneal tunnel, filling of the anterior chamber viscoelastic, FIOL mobilization, removal of the bottom haptic element in the anterior chamber, removal of the top haptic element in the of anterior chamber, FIOL removal. …”
Get full text

Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…The proposed study aims to enhance the reliability and efficiency of MANETs in attack situations when minimizing overhead from malicious traffic management. …”
Get full text