Sliding Mode Backstepping Control of Excavator Bucket Trajectory Synovial in Particle Swarm Optimization Algorithm and Neural Network Disturbance Observer by Xiangfei Tao, Kailei Liu, Jing Yang, Yu Chen, Jiayuan Chen, Haoran Zhu

“…As proven by the experimental results, PSO-NNDO-SMBC possessed strong anti-interference ability. In contrast to the sliding mode backstepping control based on the particle swarm optimization algorithm (PSO-SMBC), the maximum displacement tracking error was lowered by 50.5%. …”
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Optimizing dance motion reconstruction using a two-dimensional matrix approach with hybrid genetic and fuzzy logic differential evolution by Lin Wang, Yutong Liu, Yucong Geng, Mohammad Khishe

“…Abstract The development of dance movements using motion capture technology presents notable challenges, such as constraints related to body morphology, clothing interference, and the inherently nonlinear dynamics of human motion. …”
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Red Raspberry Maturity Detection Based on Multi-Module Optimized YOLOv11n and Its Application in Field and Greenhouse Environments by Rongxiang Luo, Xue Ding, Jinliang Wang

“…This module enhances the network’s multi-scale feature extraction capabilities, reduces the interference of background noise, improves the recognition of structural details, and optimizes the spatial resolution of the image through the dynamic sampling mechanism. …”
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Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey by Chaeriah Bin Ali Wael, El Hadj Dogheche, Nasrullah Armi, Agus Subekti, Iyad Dayoub

“…Addressing diverse service requirements, spectrum scarcity, dynamic vehicular environments, and radio interference necessitates efficient resource allocation strategies for the 5G NR-V2X system. …”
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Establishment and optimization of a system for the detection of Candida albicans based on enzymatic recombinase amplification and CRISPR/Cas12a system by Xiaotong Zeng, Qiuyang Jiang, Fo Yang, Qianlin Wu, Tingyao lyu, Qi Zhang, Jin Wang, Feng Li, Dayong Xu

“…It shows high specificity and resistance to clinical nucleic acid interference, without cross-reactivity. Additionally, the method eliminates the need to open the reaction tube, effectively preventing aerosol contamination and providing a stable, thus offering a new tool for the rapid clinical diagnosis of C. albicans.IMPORTANCEThis study established a two-step method through optimization, compared its sensitivity, and then combined the specific detection capabilities of ERA and CRISPR/Cas12a. …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…Targeting leaders and followers, the optimal power allocation solution is derived with Signal-to-Interference-Noise Ratio (SINR) and transmission cost as the objective functions. …”
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Generalized BER Performance Analysis for SIC-Based Uplink NOMA by Mahmoud AlaaEldin, Emad Alsusa, Mohammad Al-Jarrah, Karim G. Seddik, Michail Matthaiou

“…While most existing studies focus on downlink NOMA, this paper shifts the focus to uplink NOMA, presenting novel generalized closed-form bit error rate (BER) performance analysis for imperfect successive interference cancellation (SIC) receivers under fading channels. …”
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A Semantic Segmentation Method for Winter Wheat in North China Based on Improved HRNet by Chunshan Wang, Penglei Zhu, Shuo Yang, Lijie Zhang

“…First, this model incorporates a semantic domain module (SDM), which improves the model’s precision of pixel-level semantic parsing and reduces the interference from noise through multi-confidence scale class representation. …”
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Performance Analysis of Channel Estimation Schemes for Phase Shift Optimization: An Analysis of Bit Error Rate and Armijo Step Size Behavior by Anne. N. Munira, Waweru Njeri

“…In Non-Line-of-Sight (NLoS) communication, the channel capacity and accuracy of transmission are significantly affected by interferences, lowering the Quality of Service (QoS). …”
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Removal of Zn(II), Cu(II) and Pb(II) from Rainwater by White Bean Peel: Optimization by Response Surface Methodology by Gonçalo H. Cabral, Ana C. Estrada, Patrícia S. M. Santos

“…The removal of Cu(II) and Pb(II) was affected by the pH of the solution since, at pH 7.0 for Cu(II), and at pH 5.6 and 7.0 for Pb(II), a decrease occurred in the removal. The optimal conditions for removal, 6 h of contact time between the sorbent and the solution, were applied to rainwater samples spiked with the mixture of PTEs and resulted in removals of 30–90% for Zn(II), 11–78% for Cu(II), and 11–97% for Pb(II), generally lower than those expected by the models, 91% for Zn(II) and 52% for Cu(II), highlighting that the rainwater matrix interferes with the removal of PTEs by peel. …”
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Evolution of SARS-CoV-2 spike trimers towards optimized heparan sulfate cross-linking and inter-chain mobility by Jurij Froese, Marco Mandalari, Monica Civera, Stefano Elli, Isabel Pagani, Elisa Vicenzi, Itzel Garcia-Monge, Daniele Di Iorio, Saskia Frank, Antonella Bisio, Dominik Lenhart, Rudolf Gruber, Edwin A. Yates, Ralf P. Richter, Marco Guerrini, Seraphine V. Wegner, Kay Grobe

“…These findings suggest a robust way to interfere with SARS-CoV-2 Omicron infection and potentially future variants.…”
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Analysis With Deep Learning of Robust UAV-Mounted Active IRS NOMA Networks With Imperfections by Chandan Kumar Singh, Deepak Kumar, Janne J. Lehtomaki, Zaheer Khan, Matti Latva-Aho, Prabhat K. Upadhyay

“…We consider non-ideal system imperfections, such as co-channel interference, hardware impairments, and imperfect successive interference cancellation. …”
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A traffic-awareness dynamic resource allocation scheme based on multi-objective optimization in multi-beam mobile satellite communication systems by YuanZhi He, YiZhen Jia, XuDong Zhong

“…This algorithm is proved to be optimal in terms of the Pareto-front under constraints of co-channel interference and onboard transmit power. …”
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Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization by Manash Mahanta, Attaphongse Taparugssanagorn, Kenta Umebayashi

“…Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. …”
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Enhancing Adaptive Spectrum Access: An Intelligent Reflecting Surface Assisted CRN for Future Wireless Communication by Vishwas Srivastava, Binod Prasad

“…In the underlay mode, ST operates alongside the primary transmitter (PT) at low power levels to prevent interference with the primary receiver (PR), ensuring that transmission remains within the interference threshold. …”
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Denoising of electromagnetic data from different geological blocks using a hybrid PSO-GWO algorithm and CNN by Zhong-Yuan Liu, Zhong-Yuan Liu, Zhong-Yuan Liu, Di-Quan Li, Di-Quan Li, Di-Quan Li, Yecheng Liu, Yecheng Liu, Yecheng Liu, Xian Zhang, Xian Zhang, Xian Zhang

“…Simulation results demonstrate that the PSO-GWO-optimized CNN effectively handles complex, non-periodic noise, improving signal clarity and successfully reducing noise interference, thereby enhancing data quality and enabling more accurate geological interpretations. …”
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Motor Fault Diagnosis Under Strong Background Noise Based on Parameter-Optimized Feature Mode Decomposition and Spatial–Temporal Features Fusion by Jingcan Wang, Yiping Yuan, Fangqi Shen, Caifeng Chen

“…To address this issue, this study introduces a high-performance fault diagnosis approach for mining motors operating under strong background noise by integrating parameter-optimized feature mode decomposition (WOA-FMD) with the RepLKNet-BiGRU-Attention dual-channel model. …”
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U-MGA: A Multi-Module Unet Optimized with Multi-Scale Global Attention Mechanisms for Fine-Grained Segmentation of Cultivated Areas by Yun Chen, Yiheng Xie, Weiyuan Yao, Yu Zhang, Xinhong Wang, Yanli Yang, Lingli Tang

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Hierarchical Optimization Segmentation and Parameter Extraction of Street Trees Based on Topology Checking and Boundary Analysis from LiDAR Point Clouds by Yuan Kou, Xianjun Gao, Yue Zhang, Tianqing Liu, Guanxing An, Fen Ye, Yongyu Tian, Yuhan Chen

“…Then, the over-segmentation and under-segmentation situations that occur during the segmentation process are processed and optimized through projection topology checking and tree adaptive voxel bound analysis. …”
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Enhanced YOLO11n-Seg with Attention Mechanism and Geometric Metric Optimization for Instance Segmentation of Ripe Blueberries in Complex Greenhouse Environments by Rongxiang Luo, Rongrui Zhao, Bangjin Yi

“…The DAB module combines channel–spatial attention and structural reparameterization techniques. This optimizes the YOLO11n structure and effectively suppresses background interference. …”
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