Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…This model incorporates a multiscale feature fusion network and leverages the lightweight GhostNet module to reduce model parameters. …”
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From Convolutional Networks to Vision Transformers: Evolution of Deep Learning in Agricultural Pest and Disease Identification by Mengyao Zhang, Chaofan Liu, Zihan Li, Baoquan Yin

“…In recent years, deep learning has gradually become the preferred solution for the intelligent identification of pests and diseases by virtue of its powerful automatic feature extraction and complex data-processing capabilities. …”
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Improved Dual-tree Complex Wavelet Packet Transform with Application to Fault Diagnosis by She Bo, Tian Fuqing, Liang Weige

“…The experimental results show that the weak fault feature of gearbox submerged in strong interference can be effectively extracted,and the feasibility and effectiveness of this method are verified.…”
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Entanglement Dynamics of Two Giant Atoms Embedded in a One-Dimensional Photonic Lattice with a Synthetic Gauge Field by Vassilios Yannopapas

“…Using a combination of time-domain simulations and resolvent-based analysis, we show how interference and band structure effects lead to the emergence of bound states, quasi-bound states, and phase-dependent entanglement dynamics. …”
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Reformulation in Early 20th Century Substandard Italian by Giulio Scivoletto

“…These markers are affected by hypercorrection, interference, and structural simplification, reflecting the sociolinguistic dynamics of <i>italiano popolare</i>. …”
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Fault Diagnosis for Hydraulic Servo System Using Compressed Random Subspace Based ReliefF by Yu Ding, Fei Wang, Zhen-ya Wang, Wen-jin Zhang

“…The proposed CRSR method is able to enhance the robustness of the feature information against interference while selecting the feature combination with balanced information expressing ability. …”
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Approach to Semantic Visual SLAM for Bionic Robots Based on Loop Closure Detection with Combinatorial Graph Entropy in Complex Dynamic Scenes by Dazheng Wang, Jingwen Luo

“…In complex dynamic environments, the performance of SLAM systems on bionic robots is susceptible to interference from dynamic objects or structural changes in the environment. …”
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Involuntary and voluntary memory retrieval relies on distinct neural representations and oscillatory processes. by Malte Kobelt, Gerd T Waldhauser, Marie-Christin Fellner, Nikolai Axmacher

“…We show that involuntary retrieval reactivated sensory feature-dependent yet item-unspecific representations via temporally extended memory replay, accompanied by rapid mid-frontal theta-power increases, indicating memory interference. …”
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Two-Step Beveled UWB Printed Monopole Antenna with Band Notch by Yan Xiao, Zhong-Yong Wang, Ji Li, Zi-Lun Yuan, A. K. Qin

“…Accordingly, the mutual electromagnetic interference between the UWB and wireless local area network (WLAN) radio communication systems can be eliminated. …”
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Research on deception jamming of chaotic composite short-range detection system based on bispectral analysis and genetic algorithm–back propagation by Dongxu Wei, Shuning Zhang, Si Chen, Huichang Zhao, Linzhi Zhu

“…In order to analyze and extract the different characteristics between deceptive jamming and target echo signal, so as to realize the anti-deceptive jamming of chaotic compound short-range detection system, this article analyzes and simulates the mathematical model of deceptive jamming and target echo, and analyzes the bispectral characteristics of the simulated echo and jamming signal, and a set of anti-deception jamming feature parameters has been constructed. The identification of deceptive interference is realized by genetic algorithm–back propagation neural network, and the recognition accuracy is high and the real-time performance is good.…”
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Survey on Context-Aware Radio Frequency-Based Sensing by Eugene Casmin, Rodolfo Oliveira

“…Challenges like environmental interference, scalability, and regulatory constraints are addressed, with insights into real-world mitigation strategies. …”
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Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum by Jianhua Cai, Xiaoqin Li

“…The result shows that this method can greatly inhibit the interference of Gauss noise to raise the SNR and recognize the secondary phase coupling feature of the signal. …”
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Stable descriptors in image recognition tasks by V. B. Melekhin, V. M. Khachumov

“…In general, the proposed approach allows developing an effective image recognition system in the presence of various types of interference on the recognized images.…”
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Prediction of Bus Arrival Time Based on Gated Recurrent Unit Neural Networks by LU Juntian;SUN Ling;SHI Quan

“…Furthermore, combining more than 50 million pieces of raw data, the model uses Spark elastic distributed data set in distributed Hadoop cluster to clean data and site matching algorithm to match source data, Lasso algorithm to optimize feature options and remove interference. The simulation results reveal that the R-square fitting degree of the improved GRU model is 94.547% and the prediction efficiency is nearly 14% higher than that of traditional long short-term(LSTM) model. …”
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Arcing detection method of metro pantograph based on improved yolov4-tiny by AI Shengyong, DING Jianming, ZHANG Qingsong

“…For the problem of strong light interference and variable background in pantograph arcing detection for metro vehicles, an arcing detection method based on an improved yolov4-tiny model is proposed. …”
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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…The proposed method consists of three steps: firstly, to increase the computational efficiency of the model, the dimension of the high-dimensional data is reduced by establishing a random matrix; secondly, for enhancing the clustering influence of the sample, the input data are enhanced by feature processing; thirdly, to make the clustering effects more pronounced, the noise and interference of the data need to be processed, and the singularity value denoising method is used to denoise training data and test data. …”
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Application of Improved LSTM Model in Runoff Simulation in Arid Region of Northwest China: A Case Study of the Zuli River by SONG Haiping, TANG Yiran, DANG Wentao, WANG Yibo

“…In view of the scarcity of measured data in the Zuli River Basin, the upper reaches of the Yellow River, as well as the difficult hydrological simulation problems caused by the intense interference of human activities, this study focused on the Zuli River Basin in the upper reaches of the Yellow River. …”
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SE-WiGR: A WiFi Gesture Recognition Approach Incorporating the Squeeze–Excitation Mechanism and VGG16 by Fenfang Li, Chujie Weng, Yongguang Liang

“…This improvement confirms that the SE module effectively enhances gesture feature extraction while suppressing background noise.…”
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A microwave control system for continuous spatial-domain atom interferometers by Weichen Jia, Peiqiang Yan, Yanying Feng

“…We present a low-phase-noise microwave control system designed for spatial-domain atom interferometers, featuring the independent outputs of three microwave channels with minimal relative phase noise between them. …”
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Research on the Application of Variational Mode Decomposition Optimized by Snake Optimization Algorithm in Rolling Bearing Fault Diagnosis by Houxin Ji, Ke Huang, Chaoquan Mo

“…However, the fault signal of rolling bearing is susceptible to noise interference, which makes it difficult to extract the fault characteristics of the rolling bearing and thus affects the accuracy of the diagnosis results. …”
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