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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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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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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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…Finally, an edge graph perception module integrates edge information with the fused features, leveraging the spatial similarity of graph structures and the interaction of edge features to suppress irrelevant edge interference, thereby improving the model's sensitivity and accuracy in detecting subtle building changes. …”
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Fine-Grained Identification of Benthic Diatom Scanning Electron Microscopy Images Using a Deep Learning Framework by Fengjuan Feng, Shuo Wang, Xueqing Zhang, Xiaoyao Fang, Yuyang Xu, Jianlei Liu

“…This mechanism allows the network to focus more on foreground features that are useful for the classification task while significantly reducing the interference of background noise. …”
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Improvement of Lithological Identification Under the Impact of Sparse Vegetation Cover with 1D Discrete Wavelet Transform for Gaofen-5 Hyperspectral Data by Senmiao Guo, Qigang Jiang

“…The results show that andesite spectra are the most susceptible to vegetation interference. Absorption features in the 2.0–2.4 μm wavelength range were identified as critical indicators for distinguishing lithologies from mixed spectra. …”
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Peculiarities of Forming the Methodology for Investigating Criminal Offenses against the Authority of State Agencies in the Law Enforcement Sphere by V. O. Gusieva

“…It has been established that the structure of methods of investigating criminal offenses against the authority of state agencies in the field of law enforcement activity should consist of the following elements: 1) forensic characteristics of criminal offenses against the authority of state agencies in the field of law enforcement activity; 2) circumstances to be established; 3) features of the beginning of criminal proceedings, typical investigative situations, algorithms of investigative (search) and procedural actions at the initial and subsequent stages of investigation; 4) specific features of tactics of conducting certain investigative (search), covert investigative (search) and procedural actions; 5) general features of using special knowledge; 6) specific features of forensic prevention of criminal offenses against the authority of state agencies in the field of law enforcement activity.…”
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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…This discrepancy can interfere with quality improvement interventions and negatively impact patient care. …”
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Optimizing dsRNA sequences for RNAi in pest control and research with the dsRIP web platform by Doga Cedden, Gözde Güney, Michael Rostás, Gregor Bucher

“…Abstract Background RNA interference (RNAi) is a tool for studying gene function and has emerged as a promising eco-friendly alternative to chemical pesticides. …”
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Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction by Ziyang Zhou, Meijia Huang, Hong Xu, Xinyu Yang, Yinpeng Li, Zhuo Jia

“…In addition, external factors like electromagnetic interference, temperature fluctuations, or other noise can result in data loss or anomalies. …”
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A Spatio-Temporal Attention Network With Multiframe Information for Infrared Small Target Detection by Donghui Liu, Wenlong Zhang, Zicheng Feng, Xiaoliang Sun, Rui Zhang, Yang Shang

“…The subsequent analysis of the temporal motion and appearance information serves to distinguish the real target from the background interference among the candidate targets. Concurrently, the coordinate attention block is integrated into the model to direct the algorithm to emphasize the local detail features of the target, thereby enhancing the processing capability of the temporal information. …”
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An Experimental Performance Evaluation and Compatibility Study of the Bluetooth Low Energy Based Platform for ECG Monitoring in WBANs by Farid Touati, Ochirkhand Erdene-Ochir, Waiser Mehmood, Ammad Hassan, Adel Ben Mnaouer, Brahim Gaabab, Mohd Fadlee A. Rasid, Lazhar Khriji

“…The classical Bluetooth is known for its greedy power consumption, IrDA and NFC require line-of-sight conditions, and ANT has weak coexistence features and interference issues. A typical choice remains ZigBee/6LoWPAN over IEEE 802.15.4 based solutions in WBANs because of their low-power consumption. …”
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HMSAM-UNet: A Hierarchical Multi-Scale Attention Module-Based Convolutional Neural Network for Improved CT Image Segmentation by Na Liu, Zhonghua Lu, Wenyong Lian, Min Tian, Chiyue Ma, Lijuan Peng

“…While modern deep learning methods have made significant progress in medical image segmentation, some challenges remain, including accurately capturing features at multiple scales, limited ability to detect critical regions, and susceptibility to noise and background interference. …”
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Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models by Amin Amiri, Alireza Ghaffarnia, Nafiseh Ghaffar Nia, Dalei Wu, Yu Liang

“…Harmonizer employs a unified approach to convert diverse, non-linguistic signals into discrete tokens via its FusionQuantizer architecture, built on FluxFormer, to efficiently capture essential signal features while minimizing complexity. We enhance features through STFT-based spectral decomposition, Hilbert transform analytic signal extraction, and SCLAHE spectrogram contrast optimization, and train using a composite loss function to produce reliable embeddings and construct a robust vector vocabulary. …”
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Intelligent monitoring method for conveyor belt misalignment based on deep learning by ZUO Mingming, ZHANG Xi, YANG Zihao, SUN Qifei, ZHANG Mengchao, ZHANG Yuan, LI Hu

“…A strategy was proposed to detect the straight lines of the conveyor belt edges using the diagonal features of the bounding box predicted by the object detection network. …”
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Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism by Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong, Xiaoshuang Zhang

“…It provides a priori knowledge to enhance the underwater target detection of the passive sonar by eliminating the interference of the surface targets. Based on the attention mechanism, the abstract features extracted from the intermediate‐layer of the neural networks are found to be effective to represent the typical features of the target motion trajectories, which also demonstrates the effectiveness of the attention mechanism. …”
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