Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…We obtained the analytical expressions for the mean square deviation of errors in estimating the angular coordinates of the target for quasi-optimal algorithms of processing the fluctuating signals in radar meters with a scanning multichannel receiving system under external interference. …”
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Performance Analysis and Optimization of Enterprise Wireless Networks Based on 802.11ax Technology by İsmail Hakkı Cedimoğlu, Berkay Dağtaş

“…This study focuses on performance analysis and optimization of enterprise wireless networks. Fundamental performance parameters of Wi-Fi networks such as signal strength, signal-to-noise ratio (SNR), data rate, and channel interference were evaluated in detail in the study. …”
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Design and Optimization of Field Mill Sensors for Accurate Measurement of HVdc Ground Electric Fields Based on Amplifier Parallel Optimization and Wavelet Decomposition Techniques by Yuehua Huang, Yun Lu, Zhuo Chen, Ziyang Yu, Zhengyu Xiang

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Interference Control for Cognitive Network with High Mobility by Yuanxuan Li, Gang Zhu, Siyu Lin, Ke Guan, Bo Ai

“…The proposed IC schemes of the secondary system are converted to the power allocation problems, and then they are formulated to optimization problem whose objects are to maximize the capacity of the secondary system with the interference constraints. …”
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INTERFERENCE EFFECTS ON EFFICIENCY Inverted photovoltaic CELLS by V. V. Filippov, B. G. Shulitski

“…The analysis of the external quantum efficiency of photovoltaic cells has shown that the averaging EQE over the spectrum of solar radiation for the inverted cell interference redistribution has little effect on the EQE and optimization of cells to the thickness of its layers does not lead to a significant increase in quantum efficiency.…”
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Plasmonic Mode Interference Effect Based Sensors by Neha Ahlawat, Awanish Pandey, Saurabh Mani Tripathi

“…We propose and theoretically analyze a novel sensor based on plasmonic mode interference in a one-dimensional degenerate n-doped silicon core waveguide. …”
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Jointly Optimizing Resource Allocation, User Scheduling, and Grouping in SBMA Networks: A PSO Approach by Jianjian Wu, Chanzi Liu, Xindi Wang, Chi-Tsun Cheng, Qingfeng Zhou

“…Blind Interference Alignment (BIA) and Sparse Code Multiple Access (SCMA) offer the potential for massive connectivity but face limitations. …”
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Optimal Coherence Length Control in Interferometric Fiber Optic Hydrophones via PRBS Modulation: Theory and Experiment by Wujie Wang, Qihao Hu, Lina Ma, Fan Shang, Hongze Leng, Junqiang Song

“…Consequently, the modulation of coherence length requires a balanced optimization approach that not only suppresses parasitic noise but also minimizes visibility-introduced background noise, thereby determining the system-specific optimal coherence length. …”
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Key performance evaluation of commercialized multiplex rRT-PCR kits for respiratory viruses: implications for application and optimization by Wanyu Feng, Yuqing Chen, Yanxi Han, Zhenli Diao, Zihong Zhao, Yuanfeng Zhang, Tao Huang, Yu Ma, Ziqiang Li, Jian Jiang, Jing Li, Jinming Li, Rui Zhang

“…Given the potential challenges in the detection performance of multiplex assays, this study evaluated the analytical sensitivity and competitive interference of the six most commonly used multiplex rRT-PCR kits for detection of respiratory viruses in China. …”
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A novel approach to spectral moisture interference correction for nitrogen and soil organic matter inversion in native black soils: Bayesian-optimized dynamic moisture mitigation by Jiaze Tang, Qisong Wang, Dan Liu, Junbao Li, Ruifeng Zhang, Meiyan Zhang, Jinwei Sun

“…The BO-DMM method reduced moisture interference, calibrating the spectral angle of moist soil spectra to shrink by 50 % toward that of dry soil spectra. …”
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Contact analysis and parameter optimization of wheel axle sliding bearings in variable gauge bogies by PENG Yueyang, HUANG Zhihui, TANG Jiacheng, SONG Yangfa, DAI Xiaochao

“…A study was conducted on the contact characteristics and parameter optimization of the wheel axle sliding bearings in 1 435/1 520 mm variable gauge bogies for high-speed trains. …”
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A Noise Reduction Method for Signal Reconstruction and Error Compensation of a Maglev Gyroscope Under Persistent External Interference by Di Liu, Zhen Shi, Ziyi Yang, Chenxi Zou

“…To eliminate the noise interference caused by continuous external environmental disturbances on the rotor signals of a maglev gyroscope, this study proposes a noise reduction method that integrates an adaptive particle swarm optimization variational modal decomposition algorithm with a strategy for error compensation of the trend term in reconstructed signals, significantly improving the azimuth measurement accuracy of the gyroscope torque sensor. …”
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An Interference Links Selection Method Based on Genetic Algorithm by Juan Meng, Li Hong, Yanan Li, Zhiming Han, Lili Guo

“…Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output （MIMO）networks, an interference links selection scheme was proposed based on genetic algorithm. …”
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Low-Complexity, Distributed Characterization of Interferers in Wireless Networks by Vibhav Kapnadak, Murat Senel, Edward J. Coyle

“…We consider a large-scale wireless network that uses sensors along its edge to estimate the characteristics of interference from neighboring networks or devices. Each sensor makes a noisy measurement of the received signal strength (RSS) from an interferer, compares its measurement to a threshold, and then transmits the resulting bit to a cluster head (CH) over a noisy communication channel. …”
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Anti-interference algorithm of wireless channel for IoT communication by Ling TAN, Yong ZHUANG

“…In IoT communication,the anti-interference of wireless channel is influenced by various factors.Multi-antenna system has significant effect for promoting anti-interference of channel,whose complexity and performance in signal detection need further improvement.The QR decomposition detection algorithm in signal detection of multi-antenna system has low computational complexity,but the algorithm performance is poor.In order to improve the performance of QR decomposition detection algorithm,a QR decomposition algorithm based on ML criterion and decision candidate mechanism was proposed,and the performance of the algorithm was analyzed.The ML criterion was used to estimate the initial level of the detection,and a reliable decision was adopted in the other detection layer.Candidate points were introduced in unreliable case and the optimal candidate were selected from the feedback.The algorithm could significantly improve the system interference,and propagation error were greatly reduced in the decision feedback.The experimental results show that the proposed algorithm can improve the performance of the IoT system effectively with certain complexity.…”
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Stroop Interference and Facilitation Effects in Kinesthetic and Haptic Tasks by David Hecht, Miriam Reiner

“…Stroop interference and facilitation effects were documented in the visual, auditory, olfactory, and gustatory modalities. …”
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Anti-interference algorithm of wireless channel for IoT communication by Ling TAN, Yong ZHUANG

“…In IoT communication,the anti-interference of wireless channel is influenced by various factors.Multi-antenna system has significant effect for promoting anti-interference of channel,whose complexity and performance in signal detection need further improvement.The QR decomposition detection algorithm in signal detection of multi-antenna system has low computational complexity,but the algorithm performance is poor.In order to improve the performance of QR decomposition detection algorithm,a QR decomposition algorithm based on ML criterion and decision candidate mechanism was proposed,and the performance of the algorithm was analyzed.The ML criterion was used to estimate the initial level of the detection,and a reliable decision was adopted in the other detection layer.Candidate points were introduced in unreliable case and the optimal candidate were selected from the feedback.The algorithm could significantly improve the system interference,and propagation error were greatly reduced in the decision feedback.The experimental results show that the proposed algorithm can improve the performance of the IoT system effectively with certain complexity.…”
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Interference Management in UAV-Assisted Multi-Cell Networks by Muchen Jiang, Honglin Ren, Yongxing Qi, Ting Wu

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GNSS interference mitigation method based on deep learning by Feiqiang Chen, Feiqiang Chen, Zhe Liu, Zhe Liu, Long Huang, Long Huang, Yuchen Xie, Yuchen Xie, Binbin Ren, Qin Zhou

“…In this paper, we introduce an intelligent interference mitigation approach. By leveraging a deep learning network model, our method automatically selects the optimal interference mitigation technique based on the specific characteristics of the interference. …”
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Precoding Method Interference Management for Quasi-EVD Channel by Wei Duan, Wei Song, Sang Seob Song, Moon Ho Lee

“…In the next step, we optimize the system BER performance with the overlap of the row spaces spanned by the effective channel matrices of different users. …”
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