A new design of an electromyography sensor for movement detection in human-machine interaction systems by Thi Truc Thao Phan, Khang Hoang Vinh Nguyen, Xuan Phu Do, Phan Huu Thanh Tu, Huy-Tuan Pham

“…Given the susceptibility of EMG signals to noise sources like power line interference (PLI), muscle cross-talk, and skin movement artifacts, the proposed sensor is designed to enhance EMG signal fidelity. …”
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Ship Plate Detection Algorithm Based on Improved RT-DETR by Lei Zhang, Liuyi Huang

“…The proposed model integrates three core components: an improved High-Frequency Enhanced Residual Block (HFERB) embedded in the backbone to strengthen multi-scale high-frequency feature fusion, with deformable convolution added to handle occlusion and deformation; a Pinwheel-shaped Convolution (PConv) module employing multi-directional convolution kernels to achieve rotation-adaptive local detail extraction and accurately capture plate edges and character features; and an Adaptive Sparse Self-Attention (ASSA) mechanism incorporated into the encoder to automatically focus on key regions while suppressing complex background interference, thereby enhancing feature discriminability. …”
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Multiple modes of impulsivity in Parkinson's disease. by Cristina Nombela, Timothy Rittman, Trevor W Robbins, James B Rowe

“…Relationships between each factor and clinical and demographic features were examined by regression against factor loadings. …”
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IRWT-YOLO: A Background Subtraction-Based Method for Anti-Drone Detection by Xueqi Cheng, Fan Wang, Xiaopeng Hu, Xinrong Wu, Min Nuo

“…The DCPPA module employs dual convolutions to expand the receptive field and enhance feature extraction for weak drone objects. The RCSCAA module incorporates a contextual attention mechanism to capture long-range dependencies and extract multi-scale texture features. …”
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Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors by Jinlong Wang, Weizhong Sun, Jun Zhou, Lei Wang, Lianfei Chen, Pengcheng Chen, Qichao Chen, Weichao Zhang

“…This study addresses the challenges of electromagnetic interference and unstable signal transmission encountered by traditional sensors in detecting partial discharge (PD) within stator slots of large motors. …”
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WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention by Jiahui Qian, Ming Chen

“…Secondly, we designed the DASPPF module by integrating deformable attention, which dynamically adjusts the attention domain to enhance feature relevance to targets, reducing irrelevant information interference and better adapting to marine benthos shape variations. …”
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A lightweight multi scale fusion network for IGBT ultrasonic tomography image segmentation by Meng Song, Zhaoba Wang, Youxing Chen, Ya Li, Yong Jin, Bei Jia

“…Additionally, we introduce two flexible, plug-and-play modules: the Context Feature Fusion (CFF) module, which effectively integrates multi-scale contextual information at skip connection layers, and the Multi-Scale Perception Aggregation (MPA) module, which focuses on extracting and fusing multi-scale features at bottleneck layers. …”
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Predicting the availability of power line communication nodes using semi-supervised learning algorithms by Kareem Moussa, Khaled Mostafa Elsayed, M. Saeed Darweesh, Abdelmoniem Elbaz, Ahmed Soltan

“…These instances consist of CINR(Carrier-to-Interference plus Noise Ratio), SNR(Signal-to-Noise Ratio), and RSSI(Received Signal Strength Indicator) as features for the label, which is a node is UP/Down. …”
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation by Yanling Lv, Qingdong Han, Shulei Xue

“…This method captures statistical features of the dataset to establish dynamic thresholds for identifying the upper limits of missing segments. …”
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Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…For this purpose, we propose Multimodal Transformer, which incorporates more statistical features—skewness and kurtosis—in addition to amplitude and phase data. …”
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A contrastive learning framework with dual gates and noise awareness for temporal knowledge graph reasoning by Siling Feng, Bolin Chen, Qian Liu, Mengxing Huang

“…Abstract Temporal knowledge graph reasoning(TKGR) has attracted widespread attention due to its ability to handle dynamic temporal features. However, existing methods face three major challenges: (1) the difficulty of capturing long-distance dependencies in information sparse environments; (2) the problem of noise interference; (3) the complexity of modeling temporal relationships. …”
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DHS-YOLO: Enhanced Detection of Slender Wheat Seedlings Under Dynamic Illumination Conditions by Xuhua Dong, Jingbang Pan

“…This detection task presents significant technical challenges due to two inherent complexities: (1) environmental interference from variable illumination conditions and (2) morphological characteristics of wheat seedlings characterized by slender leaf structures and flexible posture variations. …”
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Enhancing, Refining, and Fusing: Towards Robust Multiscale and Dense Ship Detection by Congxia Zhao, Xiongjun Fu, Jian Dong, Shen Cao, Chunyan Zhang

“…CASS-Det integrates three key innovations: 1) a center enhancement module (CEM) that employs rotational convolution to emphasize ship centers, improving localization while suppressing background interference; 2) a neighbor attention module that leverages cross-layer dependencies to refine ship boundaries in densely populated scenes; and 3) a cross-connected feature pyramid network (CC-FPN) that enhances multiscale feature fusion by integrating shallow and deep features. …”
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Discretion and assumption choices for closed supplementary pension plans by Rudolph Fabiano Alves Pedroza Teixeira, Adriano Rodrigues, Marcelo Alvaro da Silva Macedo

“…It evaluates whether a given actuarial assumption can be managed to compensate the behavior of another actuarial assumption; whether some characteristics of plans and the sponsoring companies can motivate interference in the selection of assumptions; and whether increments in the Special System for Settlement and Custody (Sistema Especial de Liquidação e de Custódia - SELIC) rate are linked to assumption choices which reduce the mathematical provisions. …”
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SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction by Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Caifeng Gao, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

“…This approach facilitates the capture of interdependencies among high - dimensional features through time series decomposition, employs Fourier Transform to mitigate noise interference, and incorporates sparse attention mechanisms to selectively filter critical frequency components, thereby enhancing time - dependent modeling. …”
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M-Shaped Conformal Antenna with FSS Backing for Gain Enhancement by Madhavi Devi Lanka, Subbarao Chalasani

“…It also enables fine control of the radiation pattern, frequency-selective gain, and interference elimination. The designed antenna consists of an M-shaped model on the visible sideways along with a complement split ring resonator and a defective ground structure on the bottom side. …”
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EEG Signal Acquisition and Analysis for Detecting and Classifying Mental Disorders by S Anshy Princella A., Kuresan Harisudha, M Anand

“…These features are essential for differentiating complex mental disorders, as even minor signal variations can be clinically relevant. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

“…This paper addresses the vulnerability of Global Navigation Satellite Systems (GNSS) to spoofing signal attacks by proposing a spoofing detection method based on multi-parameter features and an optimized random forest algorithm. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Firstly, to address the challenges of the small target characteristics of ship lights and complex environmental interference, an improved YOLOv8 model is developed: The dilation-wise residual (DWR) module is introduced to optimize the feature extraction capability of the C2f structure. …”
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DASNet a dual branch multi level attention sheep counting network by Yini Chen, Ronghua Gao, Qifeng Li, Hongtao Zhao, Rong Wang, Luyu Ding, Xuwen Li

“…DASNet is shown to be effective in handling challenging scenarios, such as dense flocks and background noise, due to its dual–branch feature enhancement and global multi–level feature fusion. …”
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