Motion-unrestricted dynamic electrocardiogram system utilizing imperceptible electronics by Ding Li, Tian-Rui Cui, Jia-Hao Liu, Wan-Cheng Shao, Xiao Liu, Zhi-Kang Chen, Zi-Gan Xu, Xin Li, Shuo-Yan Xu, Zi-Yi Xie, Jin-Ming Jian, Xu Wang, Lu-Qi Tao, Xiao-Ming Wu, Zhong-Wei Cheng, Zi-Rui Dong, Hou-Fang Liu, Yi Yang, Jun Zhou, Tian-Ling Ren

“…To facilitate assembly for use on the skin, the MU-DCG system features a pressure-activated flexible skin socket for stably soft-connecting the on-skin soft module and the off-skin stiff module during dynamic movements. …”
Get full text

Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

“…Furthermore, to address the multivariate challenge, we introduce a novel feature extraction method based on channel independence to optimize information processing across multidimensional features. …”
Get full text

High-capacity phase-sensitively amplified transmission in a field-deployed fiber cable by Zhirong Chen, Xiaojie Guo, Yingyu Chen, Yongguang Xiao, Jingshun Pan, Zhengyong Liu, Chao Lu, Zhaohui Li

“…Abstract Phase-sensitive amplifiers (PSAs) outperform conventional phase-insensitive amplifiers by enhancing signal-to-noise ratio (SNR) through distinct gains for deterministic signal and stochastic noise depending on their phase features. Yet despite this potential, the practical implementation of PSAs in deployed fiber transmission systems remains under-explored. …”
Get full text

Repeatability assessment of FBG-based strain measurements for bearing fault diagnostics by Sidney Goossens, Panagiotis Mantas, Damilare Samuel Ojo, Octavian Axinte, Alexandre Mauricio, Konstantinos Gryllias, Francis Berghmans

“…Results show that while damage-induced features are detectable, substantial variability arises due to installation conditions, particularly on the rotating inner race. …”
Get full text

Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

“…By applying L2 regularization to improve the neck network of YOLOv11, weight fluctuation interference in feature fusion was reduced, ensuring more stable model training. …”
Get full text

Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: Application to Real SMOS Data by Ali Khazaal, Richard Faucheron, Nemesio J. Rodriguez-Fernandez, Eric Anterrieu

“…The algorithm employs a deep neural network (DNN) architecture that features a fully connected layer followed by a contracting and expansive path, enabling the network to effectively learn the relationship between simulated visibilities and BT maps. …”
Get full text

Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms by Yang Chen, Tao Yang, Shuai Dong, Like Wang, Bida Pei, Yunlong Wang

“…Finally, to tackle class imbalance, a multi-scale monitoring and selective output module is introduced to enhance the model’s focus on crack features and suppress the interference from background and irrelevant information. …”
Get full text

Enhanced U-Net for Underwater Laser Range-Gated Image Restoration: Boosting Underwater Target Recognition by Peng Liu, Shuaibao Chen, Wei He, Jue Wang, Liangpei Chen, Yuguang Tan, Dong Luo, Wei Chen, Guohua Jiao

“…In this study, we propose an enhanced U-Net neural network designed to mitigate noise interference in underwater laser range-gated images, improving target recognition performance. …”
Get full text

Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…According to an in-depth comparative analysis, the innovative method proposed in this paper solves the problem of insufficient feature extraction of sample edge pixels and substantially reduces interference from complex environmental factors such as roads, building shadows, and vegetation with the recognition results for ethnic architecture. …”
Get full text

FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids by Giancarlo C. Heck, Ananias A. Quispe, Patryk H. da Fonseca, Osni S. Junior, Roberto A. Hexsel, Luiz C.P. Albini

“…The adopted standards allow Wi-SUN FAN networks to take advantage of features such as security, frequency hopping, multi-hop packet routing, and IPv6 addressing, ensuring a wide coverage area and immunity against electromagnetic interference. …”
Get full text

Exomoons and Exorings with the Habitable Worlds Observatory. I. On the Detection of Earth–Moon Analog Shadows and Eclipses by Mary Anne Limbach, Jacob Lustig-Yaeger, Andrew Vanderburg, Johanna M. Vos, René Heller, Tyler D. Robinson

“…In this paper series we explore the detectability of and interference from exomoons and exorings serendipitously observed with the proposed Habitable Worlds Observatory (HWO) as it seeks to characterize exoplanets, starting in this manuscript with Earth–Moon analog mutual events. …”
Get full text

Selection method for hybrid energy storage schemes for supply reliability improvement in distribution networks by Qian Li, Yuanbao Zhou, Yunxiao Zhang, Yuxin Fu

“…However, the distinct charging and discharging characteristics among different energy storage technologies pose challenges to the evaluation of HES technical features. This paper focuses on addressing two main issues in HES pre-selection. …”
Get full text

SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…However, recognizing subsidence funnels of varying sizes in large-scale interferograms poses significant challenges, particularly for small-sized funnels. Their indistinct features and susceptibility to background noise interference often result in suboptimal detection accuracy. …”
Get full text

Integrating fractional-order derivatives of soil and leaf hyperspectral reflectance for improved estimation of mangrove soil organic carbon by Yibo Luo, Chunlin Li, Jinhong Huang, Chengcheng Dong, Junjie Wang

“…Mangrove ecosystems are vital for carbon sequestration and coastal protection, yet accurate estimation of soil organic carbon (SOC) using remote sensing remains challenging due to spectral interference caused by dynamic vegetation cover. This study presents a novel framework integrating fractional-order derivative (FOD) techniques with machine learning algorithms for SOC estimation in mangrove wetlands. …”
Get full text

Popeye: A Unified Visual-Language Model for Multisource Ship Detection From Remote Sensing Imagery by Wei Zhang, Miaoxin Cai, Tong Zhang, Guoqiang Lei, Yin Zhuang, Xuerui Mao

“…Due to different imaging payloads, various appearances of ships, and complicated background interference from the bird's eye view, it is difficult to setup a unified paradigm for achieving multisource ship detection. …”
Get full text

Closed-loop cascade nanozyme strategy for mutually reinforced catalytic and mild-temperature photothermal therapeutic effects by Fan Yang, Chunyu Yan, Nannan Li, Xinxiu Jiang, Baojie Du, Peirong Bai, Liping Li, Ruiping Zhang

“…Abstract Nanocatalysis coupled with photothermal therapy is a potent anti-cancer approach, yet its clinical utility is limited by low concentration of tumor substrate, redox interference, and risks of overheating normal tissues. …”
Get full text

Advanced Signal Processing Algorithm-Based State Estimation and Denoising of ECG Signals for Biomedical Applications by Saad Arif, Mohammad Maroof Maroof Siddiqui, Nayef Alqahtani, Kamran Shah, Muhammad Attique Attique Khan, Naoufel Kraiem

“…However, ECG signals are often contaminated by interfering noise such as baseline wander, power-line interference, and motion artifacts, which significantly hinder precise state estimation. …”
Get full text

Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…First, EGMs were contaminated with different types of noise and artifacts (power-line interference, spikes, loss of samples, and loss of resolution) to assess tolerance. …”
Get full text

MVCL: Multiview Complementary Learning Network for Remote Sensing Image Change Detection by Andong Huang, Chuan Xu, Liye Mei, Zhiwei Ye, Wei Yang, Ying Wang, Xinghua Li

“…This background information is then injected into the change regions through the background-dependent feature fusion module, serving as prior knowledge. …”
Get full text

SFMHANet: Surface Fitting Constrained Multidimensional Hybrid Attention Network for Aero-Optics Thermal Radiation Effect Correction by Yu Shi, ShanLin Niu, Lei Wang, Liang Ye, YaoZong Zhang, HanYu Hong

“…When an aircraft is flying at hypervelocity in the atmosphere, the airflow and the optical cowl rub against each other, and the airflow's kinetic energy in the boundary layer is transformed into thermal energy, which causes the cowl's surface temperature to rise nonuniformly and produces thermal radiation interference with the imaging system of the detector. …”
Get full text