Method for Construction the Diagnostic Features Space of Switched Reluctance Motors Based on Integral Dynamic Models by Fomin O.O., Ruban O.D., Rudkovskyi O.V.

“…The most significant results consist in obtaining the method with a further development in construction of a space of diag-nostic features of the nonlinear dynamic objects based on the correlation analysis as a stage of the features’ filtration. …”
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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…These can be based on temporal correlations, convolutions, simple linear and nonlinear operations, wave interference patterns, and oscillatory interactions. …”
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Single-Character-Based Embedding Feature Aggregation Using Cross-Attention for Scene Text Super-Resolution by Meng Wang, Qianqian Li, Haipeng Liu

“…However, the ambiguity of character regions in complex backgrounds remains challenging to mitigate, particularly the interference between tightly connected characters. In this paper, we propose single-character-based embedding feature aggregation using cross-attention for scene text super-resolution (SCE-STISR) to solve this problem. …”
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DMSF-YOLO: Cow Behavior Recognition Algorithm Based on Dynamic Mechanism and Multi-Scale Feature Fusion by Changfeng Wu, Jiandong Fang, Xiuling Wang, Yudong Zhao

“…The model can suppress the interference of background information, dynamically extract multi-scale features, perform feature fusion, distinguish similar behaviors of cows, enhance the capacity to detect small targets, and significantly improve the recognition accuracy and overall performance of the model. …”
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Identification of rice leaf disease based on DepMulti-Net by Kui Hu, Kui Hu, Xinying Zheng, Xinying Zheng, Xinyao Su, Lei Wu, Yongmin Liu, Yongmin Liu, Zhenhua Deng

“…This research presents DepMulti-Net, a novel rice disease and pest identification model, designed to overcome the challenges of complex background interference, difficult disease feature extraction, and large model parameter volume in rice leaf disease identification. …”
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Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction by Yanchang LV, Jingyue Wang, Chengqiang Zhang, Jianming Ding

“…The results of experimental data analysis show that compared with the feature extraction methods such as spatial scale threshold EWT-MCKD and Complete Ensemble Empirical Mode Decomposition (CEEMDAN)-MCKD, the proposed method is more suitable for the diagnosis of gear composite faults in a strong background noise environment, the noise interference is effectively suppressed, and the extraction effect of gear composite fault features is more obvious.…”
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Modulation Signal Bispectrum Slice Overall Average Feature Extraction of Low-speed Reciprocating Bearing Faults by Zhang Hao, Hu Lei, Xu Yuandong, Hu Niaoqing

“…Finally, an overall average of the MSB modulation signal slice spectra from the short signal collection results in the overall averaging feature. Validation of the method using fault test data demonstrates its effectiveness in diagnosing faults in low-speed reciprocating motion bearings.…”
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MCRS-YOLO: Multi-Aggregation Cross-Scale Feature Fusion Object Detector for Remote Sensing Images by Lu Liu, Jun Li

“…Finally, the Normalized Wasserstein Distance (NWD) is introduced into hybrid loss training to emphasize small object features and suppress background interference. The efficacy and superiority of MCRS-YOLO are rigorously validated through extensive experiments on two publicly available datasets: NWPU VHR-10 and VEDAI. …”
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Fine-grained crop pest classification based on multi-scale feature fusion and mixed attention mechanisms by Yiheng Qian, Zhiyong Xiao, Zhaohong Deng

“…This paper proposes a novel deep-learning architecture for crop pest classification, addressing the limitations of existing methods that struggle with distinguishing the fine details of pests and background interference. The proposed model is designed to balance fine-grained feature extraction with deep semantic understanding, utilizing a parallel structure composed of two main components: the Feature Fusion Module (FFM) and the Mixed Attention Module (MAM). …”
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MSF-SLAM: Enhancing Dynamic Visual SLAM with Multi-Scale Feature Integration and Dynamic Object Filtering by Yongjia Duan, Jing Luo, Xiong Zhou

“…Conventional visual SLAM systems often struggle with degraded pose estimation accuracy in dynamic environments due to the interference of moving objects and unstable feature tracking. …”
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Radar-Based Hand Gesture Recognition With Feature Fusion Using Robust CNN-LSTM and Attention Architecture by Irshad Khan, Young-Woo Kwon

“…Additionally, attention mechanisms enhance feature selection, ultimately improving recognition performance. …”
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Rotation-Invariant Feature Enhancement with Dual-Aspect Loss for Arbitrary-Oriented Object Detection in Remote Sensing by Zhao Hu, Xiangfu Meng, Xinsong Liu, Zhuxiang Sun

“…Specifically, we introduce a rotation-invariant learning (RIL) module, which employs adaptive rotation transformations to enhance shallow feature representations, thereby effectively mitigating interference from complex backgrounds and boosting geometric robustness. …”
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Agricultural Greenhouse Extraction Based on Multi-Scale Feature Fusion and GF-2 Remote Sensing Imagery by Yuguang Chang, Xiaoyu Yu, Xu Yang, Zhengchao Chen, Pan Chen, Xuan Yang, Yongqing Bai

“…However, the dense spatial distribution, irregular morphology, and complex background interference of greenhouses often limit the effectiveness of conventional segmentation methods. …”
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DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images by Zhen Wang, Nan Xu, Zhuhong You, Shanwen Zhang

“…EPSM focuses on enhancing local feature representation in the channel dimension, using the phase information of object region features to improve local information interaction and filter out clutter noise interference. …”
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Near-random connections support top-down feature-based attentional modulations in early sensory cortex. by Sunyoung Park, John T Serences

“…However, the neurons in PFC that are thought to provide top-down feedback typically have high-dimensional tuning for multiple features, so it is unclear how feedback selectively modulates responses in neurons tuned to a relevant stimulus without incidentally causing interference by co-modulating neurons tuned to irrelevant features. …”
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SAVL: Scene-Adaptive UAV Visual Localization Using Sparse Feature Extraction and Incremental Descriptor Mapping by Ganchao Liu, Zhengxi Li, Qiang Gao, Yuan Yuan

“…Firstly, to tackle the challenge of inaccurate localization resulting from sparse terrain features, this work proposes a novel feature extraction network grounded in a general visual model, leveraging the robust zero-shot generalization capability of the pre-trained model and extracting sparse features from UAV and satellite imagery. …”
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Axle Temperature Detecting System of New-generation High-speed EMUs CRH380C by ZHANG Wen-zhong, HA Da-lei, WANG Qian

“…Based on axle temperature detecting system structure and principle of CRH5 & CRH3 EMUs, new-generation high-speed EMUs axle temperature detecting system was developed with DSP+FPGA control system. The system has the features such as high detecting precise, excellent anti-interference ability, reliability and stability etc, which satisfies high-speed requirement.…”
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Study on Meshing Characteristic of Face Gear Pair based on Pinion Modified by Continuous Shifting by Zhang Jinzhao, Liu Lei

“…Then,the tooth contact analysis（ TCA） and curvature interference inspection are conducted. The numerical example shows that the proposed novel modified face gear pair has following features of can avoid the occurrence of gear deviation load and can decrease the sensitivity of the contact path to the installation errors,there is no curvature interference at meshing points. …”
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Broadband multifunctional polarization converter based on graphene and vanadium dioxide metasurfaces along with analytical methods by Saman Heidari, Najmeh Nozhat

“…To verify the simulation results, theoretical analyses of multiple interference theory and equivalent circuit model are presented. …”
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Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach by Jianjian Wu, Chanzi Liu, Xindi Wang, Chi-Tsun Cheng, Qingfeng Zhou

“…Blind Interference Alignment (BIA) and Sparse Code Multiple Access (SCMA) offer the potential for massive connectivity but face limitations. …”
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