Micro-expression spotting based on multi-modal hierarchical semantic guided deep fusion and optical flow driven feature integration by Haolin Chang, Zhihua Xie, Fan Yang

“…By introducing an Optical Flow-Driven fusion feature Integration Module (OF-DIM), the correlation of non-scale fusion features is modeled in the channel dimension. …”
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A Yarn Quality Prediction Method Based on M-ESTIMATOR Robust Broad Learning System With Tightly Cascaded Feature Layers by Baowei Zhang, Zhilin Guo, Yonghua Wang

“…Aiming at the problem that multilayer neural networks rely on large datasets and broad learning system (BLS) cannot cope well with outliers in data of yarn production, which leads to low accuracy and stability when used for predicting yarn quality, we propose a robust broad learning system with the ability to resist the interference of outliers and optimize its ability to extract features. …”
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network by Yiming Chen, Wei Wang, Junchao Chen, Jizhou Deng, Yuanping Xiang, Bo Qiao, Xinghui Zhu, Changyun Li

“…These features are then integrated at the feature level through gradient blending, realizing the combination of the strengths of both modalities. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…To address the performance degradation caused by insufficient lighting, complex backgrounds, and light interference, this paper proposes a Twin-Stream Feature Fusion Graph Neural Network (TFF-Net) model. …”
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LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion by Yimin Qu, Shaobo Yu, Jing Yang

“…Firstly, this paper designs a lightweight feature interactive network (LFI-Net) to fully extract the local and global features of wheat leaf diseases and improve the detection of wheat pest and disease targets under noise interference. …”
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Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN by Lei Wang, Kun He, Haipeng Fu, Weixing Chen

“…The LSTM module first extracts temporal features from the original one-dimensional vibration signals, followed by deep feature extraction via the IDRSN. …”
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Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

“…To address the interference from look-alikes, we introduce a composite polarimetric feature, termed composite polarimetric scattering entropy, which effectively differentiates between oil spills and look-alikes. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…Printed circuit board (PCB) defect detection faces challenges like small target feature loss and severe background interference. To address these issues, this paper proposes PCES-YOLO, an enhanced YOLOv11-based model. …”
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TBD-Y: Automatic tea bud detection with synergistic object-spatial attention and global-local attention guided feature fusion by Zhongyuan Liu, Li Zhuo, Chunwang Dong, Jiafeng Li, Yang Li

“…Firstly, a Synergistic Object-Spatial Attention (SOSA) mechanism is proposed, which incorporates the proposed Local Context Attention (LCA) mechanism to enhance the features in both spatial and regional dimensions. It enables the network to focus more on the tea bud regions, and suppress the interference from background noise. …”
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Robust scale fusion and edge-aware feature attention network for remote sensing UAV road detection under harsh weather by Jialang Liu, Jialei Zhan, Jiehua Zhang, Jiangming Chen, Yan Song, Lixing Tang, Le Zhou, Chengsi Du, Yingmei Wei, Yanming Guo

“…Accurate road detection from UAV imagery under adverse weather remains a significant challenge due to reduced visibility, motion blur, and environmental interference. To address these issues, we propose RSFC-EAFANet, a robust detection framework that integrates Robust Scale Fusion Convolution (RSFC) with an Edge-aware Adaptive Feature Aggregation (EAFA) module. …”
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HOMONYMY-RELATED ERRORS: A CASE STUDY AMONG ENGLISH MAJORED SOPHOMORES by Nguyen Phuong Lien, Nguyen Thi Kim Anh*, Vo Khanh Linh, Nguyen Thi Yen Vy

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A Bio-Inspired Visual Network That Fuses Motion and Contrast Features for Detecting Small Moving Objects in Dynamic Complex Environments by Jun Ling, Hecheng Meng, Deming Gong

“…These difficulties primarily stem from the limited feature information inherent in small objects and the substantial interference caused by irrelevant information in complex backgrounds. …”
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A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning by Haopeng Chan, Xiaolan Qiu, Xin Gao, Dongdong Lu

“…This improves the anti-interference and generalisation ability in complex backgrounds. …”
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Parish Clergy and Secular Authorities in the Tobolsk North in 18^th - Early 20th Centuries: Features of Relationships by V. V. Tsys

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Features of Recognizing Images of Figures of Different Colors and Sizes by Children 3-4 Years Old Using a Noise Background by T.G. Kuznetsova, M.L. Struzhkin, I.Yu. Golubeva

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Deep Learning-Based Acoustic Recognition of UAVs in Complex Environments by Zhongru Liu, Kuangang Fan, Yuhang Chen, Lizhi Xiong, Jingzhen Ye, Aigen Fan, Hengheng Zhang

“…The optimal performance of MFCC in low SNR environments is verified by comparing three feature extraction methods, Spectrogram, Fbank, and MFCC. …”
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Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey by Chaeriah Bin Ali Wael, El Hadj Dogheche, Nasrullah Armi, Agus Subekti, Iyad Dayoub

“…Since its first introduction in rel-15 by 3GPP, 5G NR-V2X features have continued to evolve, aiming to support increasingly advanced V2X services. …”
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Prospects of etiopathogenetic treatment of Huntington’s disease by O. B. Kondakova, S. V. Demyanov, A. V. Krasivskaya, G. V. Demyanov, D. I. Grebenkin, Yu. I. Davydova, A. A. Lyalina, E. R. Radkevich, K. V. Savostyanov

“…Huntington’s disease is a serious inherited neurodegenerative disorder characterized by of motor, cognitive and psychiatric features. The disease is caused by an abnormally expanded CAG repeat expansion in the HTT gene and the production of mutant huntingtin protein.The disease usually manifests in adulthood, but the manifestation in childhood and youth is also described, which is noted in 5–10 % of cases. …”
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TRILINGUALISM AS AN OPTIMISING EDUCATIONAL FACTOR OF MASTERING A SECOND FOREIGN LANGUAGE WITHIN THE FORMAT OF COMPETENCE-BASED APPROACH by A. Likhacheva, T. Lomteva

“…The article describes and substantiates the methodological significance of facilitation and interference as a technique of teaching the second foreign language. …”
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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

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