Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Firstly, Bi-directional Feature Pyramid Network (BiFPN) is used to strengthen feature fusion and improve the accuracy of small target recognition. …”
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Engineered Porosity ZnO Sensor Enriched with Oxygen Vacancies Enabled Extraordinary Sub-ppm Sensing of Hydrogen Sulfide and Nitrogen Dioxide Air Pollution Gases at Low Temperature... by Engin Ciftyurek, Zheshen Li, Klaus Schierbaum

“…<i>Engineered porosity ZnO</i> microsensor detected sub-ppm NO₂ under O₂ interference, which affects mimicking realistic sensor operation conditions. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…Subsequently, Mahalanobis distance was employed, based on the Singular Value Decomposition (SVD) feature subspace, to construct a lesion detector. …”
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Demonstration of Eight-Sensor Sagnac Fiber-Optic Hydrophone Array with Alternative Quadrature Phase Bias and Response Equalization Demodulation Algorithm by Delong Zhao, Ke Wang, Shuolin Yang, Wenjie Xie, Yuzhong Chen, Jie Yang, Zhangqi Song, Zhaohua Sun

“…A response equalization demodulation algorithm is demonstrated to recover high-fidelity acoustic signals from interference phase signals. An eight-sensor S-FOH array featuring an alternative quadrature phase bias scheme is demonstrated, and experimental verification of the response equalization demodulation algorithm is performed. …”
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Method of Underwater Acoustic Signal Denoising Based on Dual-Path Transformer Network by Yongqiang Song, Feng Liu, Tongsheng Shen

“…The presence of natural ambient noise interferes with the system for locating and identifying underwater targets. …”
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SAR-MINF: A Novel SAR Image Descriptor and Matching Method for Large-Scale Multidegree Overlapping Tie Point Automatic Extraction by Shuo Li, Xiongwen Yang, Xiaolei Lv, Jian Li

“…Additionally, to reduce layover interference in SAR images, we introduce a GMPC-Harris feature point extraction method with layover perception. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…The encoder integrates a Holistic Focal Feature Interwined (HFFI) module that employs parallel pathways to progressively refine local textures and global semantic representations, enabling adaptive feature fusion across spatial hierarchies. …”
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DMN-YOLO: A Robust YOLOv11 Model for Detecting Apple Leaf Diseases in Complex Field Conditions by Lijun Gao, Hongwu Cao, Hua Zou, Huanhuan Wu

“…Accurately identifying apple leaf diseases in complex field environments is a critical concern for intelligent agriculture, as early detection directly affects crop health and yield outcomes. However, accurate feature recognition remains a significant challenge due to the complexity of disease symptoms, background interference, and variations in lesion color and size. …”
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A Relative Attitude Detection Method for Unmanned Aerial Vehicles Based on You Only Look Once Framework by Jingting Qiu, Feifan Yu, Fengrui Xu, Xinmin Chen, Jiqiang Wang

“…Within URA-YOLO, we propose an enhanced multiscale feature fusion (EMF) module that increases the network’s perceptual range and extracts feature information corresponding to various image sizes. …”
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Quality Control Charts for EWMA with Wavelet Shrinkage: A Simulation Study by Esraa Haydier, Dlshad Saleh, Taha Ali, Bekhal Sedeeq

“…However, weight measurements are frequently susceptible to noise and interference due to factors such as measurement errors or natural variations. …”
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MF-YOLOv10: Research on the Improved YOLOv10 Intelligent Identification Algorithm for Goods by Quanwei Wang, Xiaoyang Wang, Jiayi Hou, Xuying Liu, Hao Wen, Ziya Ji

“…To enhance the accuracy of identifying parts and goods in automated loading and unloading machines, this study proposes a lightweight detection model, MF-YOLOv10, based on intelligent recognition of goods’ shape, color, position, and environmental interference. The algorithm significantly improves the feature extraction and detection capabilities by replacing the traditional IoU loss function with the MPDIoU and introducing the SCSA attention module. …”
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Advanced fault diagnosis in industrial robots through hierarchical hyper-laplacian priors and singular spectrum analysis by Riyadh Nazar Ali Algburi, Hakim S. Sultan Aljibori, Zaid Al-Huda, Yeong Hyeon Gu, Mugahed A. Al-antari

“…In addition, the HHLP algorithm can identify harmonic interference, periodical impulses, and noise, with maximal posterior probabilities compared to the other algorithms. …”
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BiLSTM-Attention-PFTBD: Robust Long-Baseline Acoustic Localization for Autonomous Underwater Vehicles in Adversarial Environments by Yizhuo Jia, Yi Lou, Yunjiang Zhao, Sibo Sun, Julian Cheng

“…This combination enables better feature extraction and adaptation for localizing AUVs in adversarial underwater environments. …”
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An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering by Zhao Shi, Lingjiang Huang, Fengyuan Wu, Yong Lei, Huiying Wang, Zhiya Tang

“…Subsequently, a multi-threshold clutter filtering method was proposed to identify and eliminate abnormal interferences such as noise spikes, radial interference, and suspended matter clutter. …”
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High precision DOA estimation of microphone array for shipboard teleconferencing by Liu Yuji, Tong Feng, Chen Dongsheng, Lu Rongfu, Feng Wanjian

“…With this method, Mask algorithm is introduced into the DOA estimation neural network to reduce the noise and reverb interference, then the enhanced GCC-PHAT is extracted as the network feature, so as to realize the high-precision DOA estimation on the small-size microphone array. …”
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Hybrid machine learning-based 3-dimensional UAV node localization for UAV-assisted wireless networks by Workeneh Geleta Negassa, Demissie J. Gelmecha, Ram Sewak Singh, Davinder Singh Rathee

“…The proposed model efficiently managed interference, adapted to UAV mobility, and ensured optimal throughput by dynamically optimizing UAV trajectories. …”
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Reinforcement Learning-Based Television White Space Database by Armie E. Pakzad, Raine Mattheus Manuel, Jerrick Spencer Uy, Xavier Francis Asuncion, Joshua Vincent Ligayo, Lawrence Materum

“…The primary purpose of TVWSDB is to protect PUs from interference with SUs. There are several geolocation databases available for this purpose. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…In this study, an optimized Lucas–Kanade optical flow algorithm is proposed, and it integrates feature point trajectory analysis with an adaptive thresholding mechanism, and improves the accuracy of the measurements through an innovative error vector filtering strategy. …”
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Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…The results show that this machine learning method can effectively eliminate the interference fringes in the IR spectrum, and complete the feature selection and dimensionality reduction of the high-dimensional spectral data. …”
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Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU. by Jiuxiao Cao, Rui Zhu, Zhen Wang, Jun Wang, Guohao Shi, Peng Chu

“…This hybrid architecture enhances both spatial feature diversity and sequential learning capacity. …”
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