Spatial correlation guided cross scale feature fusion for age and gender estimation by Shiyi Jiang, Qing Ji, Hukui Shi, Che Chen, Yang Xu

“…The method integrates multi-granularity semantic features through a Cross-Scale Combination (CSC) module, enhances local detail representation using a Local Feature Guided Fusion (LFGF) module, and designs a Spatial Correlation Composition Analysis (SCCA) module based on Getis-Ord Gi* statistics for feature reorganization, effectively resolving interference from non-informative regions. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…Then, a morphological operation with closing followed by opening is applied to filter out weeds and crop edges, reducing interference. Next, Harris corner detection technology is used to extract crop feature points, and these feature points are clustered using the DBSCAN algorithm, marking each crop row with a different color. …”
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Unsupervised Visual-to-Geometric Feature Reconstruction for Vision-Based Industrial Anomaly Detection by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do, Ta Huu Anh Duong, Tuan-Minh Huynh, Son-Anh Bui, Duc-Manh Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Thu-Uyen Nguyen

“…Existing multimodal methods often combine features from different modalities, leading to feature interference and degraded performance. …”
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SIMULATION OF AN ELECTROMYOGRAPHIC SIGNAL CONVERTER FOR ADAPTIVE ELECTRICAL STIMULATION TASKS by Olha Yeroshenko, Igor Prasol, Oleh Datsok

“…The goal of the work is to study the features, obtaining the corresponding theoretical relationships and computer modeling of a differential biopotential converter, providing amplification of the useful component and suppression of harmful interference, the spectra of which intersect. …”
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On Enhancing Technology Coexistence in the IoT Era: ZigBee and 802.11 Case by Eugene David Ngangue Ndih, Soumaya Cherkaoui

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Unsupervised detection method of RoQ covert attacks based on multilayer features by Jing ZHAO, Jun LI, Chun LONG, Wei WAN, Jinxia WEI, Kai CHEN

“…To solve the problems that RoQ covert attacks are hidden in overwhelming background traffic and difficult to identify, besides the existing samples are scarce and cannot provide large-scale learning data, an unsupervised detection method of RoQ covert attacks based on multilayer features was proposed under the condition of very little prior knowledge.First, considering that most normal flow might interfere with subsequent results, a classification method based on semi-supervised spectral clustering was studied by flow characteristics, so that the proportion of normal samples in the filtered traffic was close to 100%.Secondly, in order to distinguish the nuance between the hidden attack features and normal flow without relying on the attack samples, an unsupervised detection model based on the n-Shapelet subsequence was constructed by packet characteristics, and the subsequences with obvious difference were used, which enabled detection of RoQ convert attacks.Experimental results demonstrate that with only a small number of learning samples, the proposed method has higher precision and recall rate than existing methods, and is robust to evading attacks.…”
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Features of surgical tactics in acute cholangitis depending from the mechanism of its development by V. A. Vovk

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Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification by Chunyan Lyu, Hai Huang, Lixi Zhang, Wenting Zhu, Zhengyang Wang, Kejun Wang, Caidong Jiao

“…Primarily, the global feature branch is tailored to extract comprehensive features. …”
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Mitigating Cell Cycle Effects in Multi‐Omics Data: Solutions and Analytical Frameworks by Rui Nie, Caihong Zheng, Likun Ren, Yue Teng, Yaoyu Sun, Lifei Wang, Junya Li, Jun Cai

“…Here, we systematically assessed the influence of distinct cell phase structures on the interpretation of omics features in proliferating cells, and proposed solutions for each omics dataset. …”
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Study on Fault Feature Extraction of Rolling Bearing Based on Improved WOA-FMD Algorithm by Guangfei Jia, Yanchao Meng

“…The vibration signal of rolling bearing fault is nonlinear and nonstationary under the interference of background noise, and it is difficult to extract fault features from it. …”
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Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing by Houhong XIANG, Yongliang WANG, Yuxi LI, Yufeng CHEN, Fengyu WANG, Xiaolu ZENG

“…This method, based on a signal-level feature game approach, incorporates two interconnected components working together. …”
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MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…In RS image CD tasks, researchers often face challenges such as multiscale change capture inadequacy due to feature noise interference and difficulties in spatiotemporal feature alignment. …”
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Research on feature extraction and intelligent diagnosis method of reciprocating compressor bearing clearance fault by Feng Yan

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Research of Fault Feature Extraction and Diagnosis of Planetary Gear Train based on SPS and CNN by Pan Zheng, Jianhua Zhou, Sujie Gao, Ben Chen, Xiangxiong Liu, Shijing Wu

“…The method of harmonic product spectrum （HPS） and sideband product spectrum （SPS） is used to accurately extract the fault characteristic frequencies of the simulation signals under the condition that the noise interference and fault impact are not obvious. The vibration signals of the planetary gearbox under different operating conditions and different fault states are further collected，and the extracted fault features are input into the convolutional neural network for fault identification. …”
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SOME FEATURES OF MORPHOFUNCTIONAL STATUS OF PERPHERAL BLOOD PLATELETS IN DONORS AND RECIPIENTS OF RENAL ALLOGRAFT by I. A. Vasilenko, A. L. Valov, A. V. Vatazin, I. V. Nesterenko, E. E. Kruglov

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Detection of Defects in Warp Knitted Fabrics Based on Local Feature Scale Adaptive Comparison by Yongchao Zhang, Weimin Shi, Jindou Zhang

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Intrusion Discrimination in Terms of LMD and ICA With Combined Features in The Fiber-Optic Perimeter System by Meng Li, Yifei Zhao, Yuzhao Ma, Guizhong Zhang

“…With multiple features from the sensitive information, the type of intrusions can be discriminated by the method of serial feature fusion (SFF). …”
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Non-cooperative signal modulation recognition algorithm based on joint feature parameter extraction by Haifei SI, Xingliu HU, Zhen SHI, Shiyong LI

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Urban object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy by Luxuan Bian, Zijun Gao, Jue Wang, Bo Li

“…First, the dual-gated feature mechanism enables selective suppression or enhancement of multilevel features, thereby reducing the interference of complex environmental noise in remote sensing on feature fusion. …”
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Dual-stage feature specialization network for robust visual object detection in autonomous vehicles by Ze Liu, Junhua Wu, Yingfeng Cai, Hai Wang, Long Chen, Qingchao Liu

“…Existing two-stage object detection methods often suffer from feature interference between candidate region generation and classification regression tasks, leading to suboptimal performance in complex scenes. …”
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