Mathematical Formalization and Algorithmization of the Main Modules of Organizational and Technical Systems by A. A. Solodov

“…It is shown that a characteristic feature of random processes occurring in organizational and technical systems is their essentially discrete nature and Poisson statistics. …”
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Compact, Angled Polarization Splitter: Characterization of Broadband Performance and Fabrication Tolerance by Yannick D'Mello, Eslam El-Fiky, James Skoric, Amar Kumar, Michael Hui, Yun Wang, Laurent Guenin, David Patel, David V. Plant

“…We propose and experimentally demonstrate a broadband polarization beam splitter on the silicon-on-insulator platform using the concept of multimode interference. The angle between the input waveguide and the multimode interferometer (MMI) was optimized in order to extract the images corresponding to the fundamental transverse electric (TE) and transverse magnetic (TM) polarizations from a single, compact MMI. …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…<b>Background/Objectives:</b> Accurate and efficient diagnosis of heart disease through electrocardiogram (ECG) analysis remains a critical challenge in clinical practice due to noise interference, morphological variability, and the complexity of overlapping cardiac signals. …”
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WDNET-YOLO: Enhanced Deep Learning for Structural Timber Defect Detection to Improve Building Safety and Reliability by Xiaoxia Lin, Weihao Gong, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Yingzhou Meng, Xinyue Xiao, Junyan Zhang

“…Second, the ECA attention mechanism dynamically suppresses complex wood grain interference and enhances the discriminative feature representation between high-risk defect classes (e.g., cracks vs. knots). …”
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Detection method for dangerous behaviors of underground coal mine personnel by ZHANG Xuhui, YU Henghan, DU Yuyang, YANG Wenjuan, ZHAO Yihui, WAN Jicheng, WANG Yanqun, ZHAO Dian, TANG Duwei

“…Existing object detection technologies face challenges when applied to underground personnel behavior detection, as complex working conditions, equipment occlusion, dense targets, and dust interference often lead to inaccurate feature extraction and undefined behavior classifications. …”
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Pattern Design of Ethnic Clothing Based on Stretchable Nanofiber Fabrics by Xueqing Lu, Jing Wen, Xiaohua Shao

“…Through the influence of image rotation, scale change, noise interference, and other factors, a method for extracting features of ethnic clothing patterns based on image rotation, scale change, and noise interference is proposed. …”
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Unconventional and robust light-matter interactions based on the non-Hermitian skin effect by Lei Du, Anton Frisk Kockum

“…Lattice models featuring the non-Hermitian skin effect have attracted rapidly growing interest due to their nontrivial spectral topology and the exotic field dynamics they enable. …”
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Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters by Lichuan Chen, Xuekun Xiang, Haijia Wen, Jiafeng Xiao, Chenhao Song, Xinzhi Zhou, Jingyuan Yu

“…Firstly, by band ratio preprocessing, the interference features on landslide detection are eliminated. …”
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DESIGN AND SIMULATION PLASMONIC 2X1 MULTIPLEXER BASED ON ELLIPTICAL RING RESONATOR by Mohammed Sabah Talib, Faris al-Jaafiry

“…Constructed with silver and oxide zinc materials, proposed design operates by precisely guiding light waves to either negate each other through destructive interference or enhance each other through constructive interference. …”
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Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parametric Temporal Convolution Network by Yiyang Jiang, Cheng Guo, Jinfeng Wang, Rongqiao Xu

“…Through time domain and frequency domain analysis, it has been demonstrated that the trained network can capture the main features of multipath models and suppress those components in both the data distribution and frequency band, effectively mitigating the interference of multipath errors in observations.…”
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CNN-Based End-to-End CPU-AP-UE Power Allocation for Spectral Efficiency Enhancement in Cell-Free Massive MIMO Networks by Yoon-Ju Choi, Ji-Hee Yu, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

“…The proposed model learns the optimal power allocation strategy by utilizing the channel state information, AP-UE distance, interference levels, and signal-to-interference-plus-noise ratio as input features. …”
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MINIMAL INVASIVE SURGICAL METHODS FOR TREATMENT OF CHRONIC PERFORATED SINUSITIS by A.I. Shvets, O.B. Gorbatchenko, V.M. Novikov, S. Maor

“…We also offer our options of surgical interference using the domestic bone and plastic material (Kergap), GAP “Biomin”…”
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Application of tensor CSAMT with high-power orthogonal signal sources in Jiama porphyry copper deposit, South Tibet by Peng-liang Yu, Ting Qu, Ri-zheng He, Jian-li Liu, Su-fen Wang, Xiao-long Chen

“…The Jiama porphyry copper deposit in Tibet is one of the proven supergiant copper deposits in the Qinghai-Tibet Plateau at present, with the reserves of geological resources equivalent to nearly 20×106 t. However, it features wavy and steep terrain, leading to extremely difficult field operation and heavy interference. …”
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A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition by Zixiang Ma, Bang Wu, Stefan Poslad

“…However, there are still several challenges to be tackled: its accuracy is often 2–3 m, it is prone to interference and attenuation effects, and the diversity of radio frequency receivers, for example, smartphones, affects its accuracy. …”
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Wild ActionFormer: Enhancing wildlife action recognition for 11 endangered species in Wolong by Dan Liu, Qianqian Sun, Jin Hou, Bochuan Zheng, Jindong Zhang, Desheng Li, Tomas Norton, Jifeng Ning

“…We utilize UniformerV2 as the base backbone network, integrating self-supervised learning methods to enhance feature extraction capabilities. We constructed a differential dispersion regularization loss function to maintain the alignment of self-supervised learning features and improve the network’s robustness against interference. …”
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RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…Existing deep learning-based methods for rice leaf disease detection struggle with inadequate sensitivity to subtle disease features, high computational complexity, and degraded accuracy under complex field conditions, such as background interference and fine-grained disease variations. …”
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Angiotensin Receptor–Neprilysin Inhibition (Sacubitril/Valsartan) Reduces Structural Arterial Stiffness in Middle‐Aged Mice by Isabel N. Schellinger, Angelika Dannert, Annet Hoffmann, Giriprakash Chodisetti, Karin Mattern, Anne Petzold, Nora Klöting, Andreas Schuster, Markus U. Wagenhäuser, Fabian Emrich, Michael Stumvoll, Gerd Hasenfuß, Uwe Raaz

“…This phenomenon appears, at least partly, independent of (indirect) blood pressure effects and may be related to a direct antifibrotic interference with aortic smooth muscle cell collagen production. …”
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Investigation on the plugging performance of polybutyl methacrylate as nano plugging agent used in the water-based drilling fluids by Cheng Ye, Linlin Zhang, Shengjiang Xu, Gang Xie, Kesheng Rong, Yang Bai, Luyi Wang

“…Rheological assessments demonstrate negligible interference with drilling fluid properties: even at a 2.0 wt% PBMA concentration, variations in apparent viscosity (AV), plastic viscosity (PV), and yield point (YP) remain below 5%, significantly reducing dependence on conventional thickeners. …”
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Machine learning-assisted wearable sensing systems for speech recognition and interaction by Tao Liu, Mingyang Zhang, Zhihao Li, Hanjie Dou, Wangyang Zhang, Jiaqian Yang, Pengfan Wu, Dongxiao Li, Xiaojing Mu

“…This system utilizes a piezoelectric micromachined ultrasonic transducers (PMUT), which feature high sensitivity (-198 dB), wide bandwidth (10 Hz-20 kHz), and excellent flatness (±0.5 dB). …”
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A multi-attention deep learning network for intelligent identification of rock mass fracture in mines by Ning Li, Zihao Xiong, Liguan Wang, Bibo Dai, Shugang Zhao, Haiwang Ye, Qizhou Wang

“…This method integrates spatial attention, channel attention, and self-attention mechanisms into the encoder structure of the U-Net network by employing visual geometry group 16 (VGG16) as the backbone network, which improves its anti-interference capabilities and feature extraction efficiency during the rock mass fracture identification process. …”
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