Denoising of electromagnetic data from different geological blocks using a hybrid PSO-GWO algorithm and CNN by Zhong-Yuan Liu, Zhong-Yuan Liu, Zhong-Yuan Liu, Di-Quan Li, Di-Quan Li, Di-Quan Li, Yecheng Liu, Yecheng Liu, Yecheng Liu, Xian Zhang, Xian Zhang, Xian Zhang

“…Noise interference remains a significant challenge in areas with high human activity, such as mining regions and urban environments. …”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…However, through meticulous fine-tuning, the model's feature expression capabilities were restored, compensating for the information loss caused by pruning. …”
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Adaptive Resource Scheduling for Dual Connectivity in Heterogeneous IoT Cellular Networks by Wooseong Kim

“…In this paper, we propose a heterogeneous cellular IoT network architecture using the aforementioned two small cell features, as well as scheduling algorithms for load balancing in the dual connectivity and for dynamic TDD configuration to mitigate interference in the small cell cluster. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…By integrating wavelet-based feature extraction with machine learning-driven analysis, this approach enhances the ability to detect complex wave propagation patterns, leading to more precise subsurface modeling. …”
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WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks by Jose Perdomo, M. A. Gutierrez-Estevez, Chan Zhou, Jose F. Monserrat

“…With ablation experiments, we validate the downlink signal-to-interference-and-noise ratio (SINR) user equipment (UE) node feature as the most significant contributor to reconstruct downlink rates. …”
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Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

“…By applying L2 regularization to improve the neck network of YOLOv11, weight fluctuation interference in feature fusion was reduced, ensuring more stable model training. …”
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Deep Learning-Based Detection and Digital Twin Implementation of Beak Deformities in Caged Layer Chickens by Hengtai Li, Hongfei Chen, Jinlin Liu, Qiuhong Zhang, Tao Liu, Xinyu Zhang, Yuhua Li, Yan Qian, Xiuguo Zou

“…Data collection was conducted using an inspection robot, enhancing automation and consistency. To address the interference caused by chicken cages, an Efficient Multi-Scale Attention (EMA) mechanism was integrated into the Spatial Pyramid Pooling-Fast (SPPF) module within the backbone network, significantly improving the model’s ability to capture fine-grained beak features. …”
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Laser-based transmission-reflection fusion device for coal-water mixture concentration measurement by GUO Yu, YANG Chengtao, CHEN Feng, JIANG Peiwen, LI Bing, MA Yancao, XU Rui, HUO Xuesong, TIAN Mi, WU Tengfei

“…The digital signals were superimposed and then processed for grayscale transformation and feature region selection, which helped reduce computational complexity and eliminate interference. …”
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A Novel 3D Paradigm for Target Expansion of Augmented Reality SSVEP by Beining Cao, Charlie Li-Ting Tsai, Nan Zhou, Thomas Do, Chin-Teng Lin

“…In the proposed design, in addition to the conventional frequency-based SSVEP feature, bio-marker elicited by visual perception of rotation was investigated. …”
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FedDyH: A Multi-Policy with GA Optimization Framework for Dynamic Heterogeneous Federated Learning by Xuhua Zhao, Yongming Zheng, Jiaxiang Wan, Yehong Li, Donglin Zhu, Zhenyu Xu, Huijuan Lu

“…This mechanism resembles the role of regulatory T cells in the immune system, balancing global model convergence with local specificity adjustments to enhance the robustness of the global model while preventing interference from diverse client features. Finally, the framework introduces a genetic algorithm (GA) to simulate biological evolution, leveraging mechanisms such as gene selection, crossover, and mutation to optimize hyperparameter configurations. …”
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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…These high-dimensional features are then segmented, and enhanced channel and spatial features are obtained via attention mechanisms, effectively mitigating background interference and intra-class ambiguity. …”
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Multi-scale fusion network for coal mine drill rod counting based on directional object detection in complex scenes by Fukai Zhang, Shuo Zhao, Haiyan Zhang, Yongqiang Ma, Qiang Zhang, Shaopu Wang, Wenjing Chang

“…However, challenges such as dim lighting, small target sizes, diverse object perspectives, and complex visual interference in coal mine environments significantly limit the accuracy and real-time performance of existing object detection methods. …”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…According to an in-depth comparative analysis, the innovative method proposed in this paper solves the problem of insufficient feature extraction of sample edge pixels and substantially reduces interference from complex environmental factors such as roads, building shadows, and vegetation with the recognition results for ethnic architecture. …”
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SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…However, recognizing subsidence funnels of varying sizes in large-scale interferograms poses significant challenges, particularly for small-sized funnels. Their indistinct features and susceptibility to background noise interference often result in suboptimal detection accuracy. …”
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Judge-Jury Interaction in Deliberation: Enhancement or Obstruction of Independent Jury Decision-Making? by Jae-Hyup Lee, Jisuk Woo

“… In the Korean jury system, jurors deliberate without interference of anyone, except when they cannot reach a unanimous verdict, in which case they must hear the judge’s opinion. …”
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GIRH-Unet: Improved Residual Tobacco Segmentation Algorithm Based on GhostNetV3-Unet by Jianhua Ye, Yunda Zhang, Pan Li, Ze Guo

“…Our approach utilizes an improved GhostNetV3 to bolster feature extraction capabilities. Additionally, we optimize the residual modules and activation functions to enhance the extraction of detailed features and the deep transmission of information. …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Additionally, it employs a Nonlinear Activation-Free feature extractor that effectively captures local and global image information. …”
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Pyruvate kinase deficiency links metabolic perturbations to neurodegeneration and axonal protection by Thomas J. Waller, Catherine A. Collins, Monica Dus

“…Objective: Metabolic disruption is a central feature to many neurodegenerative diseases. Despite this, many gaps exist in our understanding of how these perturbations link to the mechanisms of neural disease. …”
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Scanning SQUID microscope system for geological samples: further system improvements and development of post-processing software by Hirokuni Oda, Jun Kawai, Miki Kawabata, Naoto Fukuyo, Akihiro Tanimito, Isao Yosano, Chisato Anai

“…Abstract We developed a scanning superconducting quantum interference device (SQUID) microscope for imaging the magnetic field of geological samples in 2015 and have been continuously improving it. …”
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MVCL: Multiview Complementary Learning Network for Remote Sensing Image Change Detection by Andong Huang, Chuan Xu, Liye Mei, Zhiwei Ye, Wei Yang, Ying Wang, Xinghua Li

“…This background information is then injected into the change regions through the background-dependent feature fusion module, serving as prior knowledge. …”
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