Parallel Net: Frequency-Decoupled Neural Network for DOA Estimation in Underwater Acoustic Detection by Zhikai Yang, Xinyu Zhang, Zailei Luo, Tongsheng Shen, Mengda Cui, Xionghui Li

“…The architecture adopts a frequency-parallel design: it first employs a recurrent neural network, the generalized feedback gated recurrent unit (GFGRU), to independently extract features from each frequency component, and then it fuses these features through an attention mechanism. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…After preprocessing and feature extraction, we determined the optimal modeling method for prediction accuracy through comparative analysis of multiple models. …”
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Automated recognition of deep-sea benthic megafauna in polymetallic nodule mining areas based on deep learning by Guofan Long, Wei Song, Xiangchun Liu, Ziyao Fang, Jinqi An, Kun Liu, Yaqin Huang, Xuebao He

“…Its backbone integrates deformable convolutions, attention mechanisms, and ResNet structures to improve feature extraction and reduce background interference. …”
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Phase Demodulation of Short-Cavity Fabry–Perot Interferometric Acoustic Sensors With Two Wavelengths by Hao Liao, Ping Lu, Li Liu, Shun Wang, Wenjun Ni, Xin Fu, Deming Liu, Jiangshan Zhang

“…A multichannel tunable optical filter is employed, which selects out two monochromatic beams from the broadband interference spectrum of EFPI with fixed wavelength interval. …”
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Trigger-Free and Low-Cross-Sensitivity Displacement Sensing System Using a Wavelength-Swept Laser and a Cascaded Balloon-like Interferometer by Jianming Zhou, Jinying Fan, Junkai Zhang, Jianping Yao, Jiejun Zhang

“…At the same time, the temperature cross-sensitivity is as low as 5 pm/°C or 0.25 ms/°C, making it a strong candidate for displacement sensing in harsh environments with significant temperature interference.…”
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Cross Layer Power Allocation by Graph Neural Networks in Heterogeneous D2D Video Communications by Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi

“…Therefore, in this paper, we propose the video-optimized heterogeneous interference graph neural network (VD-HIGNN) as a cross-layer D2D resource allocation method for video transmission, which introduces the following contributions: 1) joint source encoder rate and beamforming/power control, 2) incorporating video rate distortion function parameters from the application layer into the node features, and 3) changing the loss function from data rate to Peak-Signal-to-Noise-Ratio (PSNR), a function of video rate distortion and a metric of video quality. …”
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NSMO-Based Adaptive Finite-Time Command-Filtered Backstepping Speed Controller for New Energy Hybrid Ship PMSM Propulsion System by Dan Zhang, Suijun Xiao, Hongfen Bai, Diju Gao, Baonan Wang

“…In this paper, a novel Adaptive Finite-Time Command-Filtered Backstepping Controller (AFTCFBC) is proposed, featuring a faster response time and the elimination of overshoot. …”
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Development of a Multi-Channel Ultra-Wideband Electromagnetic Transient Measurement System by Shaoyin He, Xiangyu Chen, Bohao Zhang, Liang Song

“…It requires that the electric field sensor has features such as a large dynamic measurement range (amplitude from hundreds of V/m to tens of kV/m), a fast response speed (response time in the order of nanoseconds or sub-nanoseconds), a wide test bandwidth (DC to 1 GHz even above), miniaturization, and robustness to strong electromagnetic interference. …”
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Optimal Design of a Sensor Network for Guided Wave-Based Structural Health Monitoring Using Acoustically Coupled Optical Fibers by Rohan Soman, Jee Myung Kim, Alex Boyer, Kara Peters

“…In the second stage, an acoustic coupler network is designed to ensure high-fidelity measurements with minimal interference from other bond locations (overlap of measurements) as well as interference from features in the acoustically coupled circuit (fiber end, coupler, etc.). …”
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Spectral monitoring technology for gas concentrations of multiple target components in oil and gas leakage detection by Zhirong ZHANG, Pengchao CHEN, Yongjun CAI, Wenyou DU, Zhonglin LI, Yuntao PENG, Pengshuai SUN, Bian WU

“…ConclusionThis in-depth analysis of various factors related to sensor interference provides insights for enhancing fire risk prevention and warning capabilities in oil and gas pipeline networks across multiple scenarios. …”
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Abstract model power field electromagnetic type building. Part 1 by Igor Pavlovich Popov

“…The formal model is an analogue of the electromagnetic field, not having these features in this model meets the essential requirements Ampere - unconditional implementation of Newton's third law.…”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…As the fractures continue to propagate, they enter the "collaborative coupling" stage, where the wavefields from each fracture interact, leading to interference patterns and amplitude modulation. This stage is characterized by the emergence of wavefield interference stripes and spectral overlapping. …”
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Hilbert–Huang transform and spectrum-weighted reconstruction integration for millimeter wave radar-based heart rate detection by Hao CUI, Luyao LIU, Hao CHEN, Wendong XIAO

“…In the HR signal reconstruction strategy, we first use HHT for high-resolution time-frequency localization analysis, capturing transient features and variations in nonstationary and nonlinear signals such as those of heartbeats. …”
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Multidimensional bioinformatics analysis reveals the potential carcinogenic role of acrylamide in colorectal cancer by Xiaopeng Yu, Junjie Niu, Jinyang Hu

“…Molecular docking confirmed strong binding affinities between acrylamide and SF3B3 (ΔG = −4.54 kcal/mol) and CSE1L (ΔG = −5.59 kcal/mol), suggesting potential interference with splicing complex assembly and nuclear transport mechanisms. …”
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Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN by Dengyi Wang, Ming Peng, Liu Liu, Xiongyao Xie, Zhenming Shi, Yaoying Liang, Jian Shen, Qiyu Wu

“…Then, a modified Res-RCNN is applied to automatically extract the defect features from the wavelet coherence images. Finally, the post-processing and visualization automatically give an intuitive clear feature map that shows the location and probability of the grouting defects along the tunnel. …”
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Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

“…Directional unmanned aerial vehicle (UAV) ad hoc networks (DUANETs) are widely applied due to their high flexibility, strong anti-interference capability, and high transmission rates. …”
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Cognitive intelligence routing protocol for disaster management and underwater communication system in underwater acoustic network by Kiran Saleem, Lei Wang, Ahmad Almogren, Ernest Ntizikira, Ateeq Ur Rehman, Salil Bharany, Seada Hussen

“…Key features include intelligent node mechanisms, proactive bandwidth and interference management, a multi-hop paradigm, distance-aware longevity strategies, and robust cryptographic protocols. …”
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Detection of underground personnel safety helmet wearing based on improved YOLOv8n by WANG Qi, XIA Lufei, CHEN Tianming, HAN Hongyin, WANG Liang

“…A convolutional block attention module (CBAM) was integrated into the backbone network to extract key image features and reduce background interference. The CIoU loss function was replaced with the WIoU loss function to improve the model's localization capability for detection targets. …”
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ARABIC-THE GLIMPSES OF CONTEMPORARY INTERPRETATION AND ITS PROBLEMS by Amer Akkad

“…However, in the modern era, it has taken on a variety of features, with trends differing in a way that was more pronounced than in other earlier phases. …”
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Tenuta del registro formale nella comunicazione accademica scritta in italiano L1 e L2 by Francesca Pagliara

“…The results show that there are common features in the ability to manage the formal register in the written production of L1 and L2 students, although significant differences emerge in the use of punctuation and polite pronouns, mostly due to interlinguistic interference. …”
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