IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection by Ning Li, Daozhi Wei

“…This framework optimally refines features across multiple scales. The entire architecture is optimized for efficiency using dynamic feature recalibration. …”
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A probabilistic neural network-based bimanual control method with multimodal haptic perception fusion by Xinrui Chi, Zhanbin Guo, Fu Cheng

“…A hierarchical heterogeneous feature alignment (HHFA) module is designed to solve the spatio-temporal asynchrony of multi-source signals (root mean square error <0.8 ms), and a dynamic Bayesian fusion layer (DBFL) is developed to achieve adaptive weighting based on the entropy-variance coupling index, suppressing noise interference and modal conflicts. …”
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Capacity Prognostics of Marine Lithium-Ion Batteries Based on ICPO-Bi-LSTM Under Dynamic Operating Conditions by Qijia Song, Xiangguo Yang, Telu Tang, Yifan Liu, Yuelin Chen, Lin Liu

“…First, the battery is simulated according to the actual operating conditions of an all-electric ferry, and in each charge/discharge cycle, the sum, mean, and standard deviation of each parameter (current, voltage, energy, and power) during battery charging, as well as the voltage difference before and after the simulated operating conditions, are calculated to extract a series of features that capture the complex nonlinear degradation tendency of the battery, and then a correlation analysis is performed on the extracted features to select the optimal feature set. …”
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A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…Next, we design a multi-scale dilated convolution module to capture underwater features at different scales. Then, we design a feature fusion adaptive attention module to reduce the interference of redundant features and enhance the local perception capabilities. …”
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Clinical and demographic characteristics of patients undergoing endovenous laser ablation for saphenous vein insufficiency by Abdullah M. Alwahbi

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Intelligent implementation of muscle strain identification algorithm in Mi health exercise induced waist muscle strain by Hu Wei, Zhong Hao, Wang Changyong

“…In order to improve the accuracy and efficiency of identifying lumbar muscle strain, based on the You Only Look Once version 3 algorithm, an intelligent recognition filtering algorithm combining sliding window and histogram of oriented gradient features is proposed to avoid misdiagnosis caused by artifact interference. …”
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Modeling and Optimization of Energy Efficiency in 5G mmWave Networks With JT-CoMP Under Different Deployment Conditions by Mohamad Younes, Laurent Quibus

“…In the face of exponential growth in mobile traffic and network densification, reducing energy consumption is a strategic challenge for the sustainability of 5G networks, particularly in the millimeter wave (mmWave) bands, where high propagation losses and inter-cell interference make optimizing Energy Efficiency (EE) a complex task. …”
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A marine ship detection method for super-resolution SAR images based on hierarchical multi-scale Mask R-CNN by Jiancong Fan, Miaoxin Guo, Lei Zhang, Jianjun Liu, Jianjun Liu, Yang Li, Yang Li

“…However, their inherent low resolution, scattered noise, and complex background interference severely limit the accuracy of target detection. …”
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Topic adversarial neural network for cross-topic cyberbullying detection by Shufeng Xiong, Wenzhuo Liu, Bingkun Wang, Yinchao Che, Lei Shi

“…TANN integrates a multi-level feature extractor with a topic discriminator and a cyberbullying detector. …”
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NAS-YOLOX: a SAR ship detection using neural architecture search and multi-scale attention by Hao Wang, Dezhi Han, Mingming Cui, Chongqing Chen

“…However, SAR-based ship detection suffers from limitations such as strong scattering of targets, multiple scales, and background interference, leading to low detection accuracy. To address these limitations, this paper presents a novel SAR ship detection method, NAS-YOLOX, which leverages the efficient feature fusion of the neural architecture search feature pyramid network (NAS-FPN) and the effective feature extraction of the multi-scale attention mechanism. …”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…This paper proposes an optimization method based on image enhancement and feature detection to address the challenges of low-quality X-ray images,significant noise interference, and difficulty in defect identification during the detection of ablation defects in high-voltage cable buffer layers. …”
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MEAC: A Multi-Scale Edge-Aware Convolution Module for Robust Infrared Small-Target Detection by Jinlong Hu, Tian Zhang, Ming Zhao

“…Infrared small-target detection remains a critical challenge in military reconnaissance, environmental monitoring, forest-fire prevention, and search-and-rescue operations, owing to the targets’ extremely small size, sparse texture, low signal-to-noise ratio, and complex background interference. Traditional convolutional neural networks (CNNs) struggle to detect such weak, low-contrast objects due to their limited receptive fields and insufficient feature extraction capabilities. …”
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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…This module enhances domain-invariant infrared small target features and reduces the impact of other irrelevant interferences. …”
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The Influences of Meteorological Factors on Mapping Forest Stock Volume With Sentinel-1 Images by Xunwei Li, Jiangping Long, Hui Lin, Tingchen Zhang, Huanna Zheng

“…To quantitatively assess the interference caused by meteorological factors on features and FSV mapping accuracy, we propose a novel metric called the meteorological disturbance index (MDI). …”
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The Intelligent Diagnosis of a Hydraulic Plunger Pump Based on the MIGLCC-DLSTM Method Using Sound Signals by Liqiang Ma, Anqi Jiang, Wanlu Jiang

“…Then, four distinct acoustic features—Mel Frequency Cepstral Coefficients (MFCCs), Inverse Mel Frequency Cepstral Coefficients (IMFCCs), Gammatone Frequency Cepstral Coefficients (GFCCs), and Linear Prediction Cepstral Coefficients (LPCCs)—were extracted and integrated into a novel hybrid cepstral feature called MIGLCCs. …”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

“…The primary challenge of attribute conditioning lies in finding a concise structural representation that isolates only the true interpretive features while effectively removing noise and stratigraphic interference. …”
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Application of сolored decorative coatings on structural steels surface by Semen M. Lipkin, Svetlana V. Kucherenko, Irina Y. Zhukova, Maria V. Kolchina

“…Staining copper organic compounds with aqueous solutions has the following feature: the coating color varies depending on the resistance time in solution, which is associated with changing in thickness of the forming oxide layer where interference phenomena occur. …”
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Intelligent identification of electromagnetic radiation signals induced by coal rock fractures using machine learning by LI Baolin, FENG Jiaqi, WANG Enyuan, SUN Xinyu, WANG Shuowei

“…Both the feature set and the choice of machine learning algorithm significantly influenced the identification accuracy of valid and interference signals. …”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…The test results show that the multimode mutual attention fusion network containing a feature fusion attention mechanism has the highest detection performance and anti-interference ability. …”
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Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

“…By overcoming challenges related to signal noise interference and feature extraction, the model provides technical support for real‐time monitoring and intelligent assessment of bolt anchorage quality.…”
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