Propagation-adaptive 4K computer-generated holography using physics-constrained spatial and Fourier neural operator by Ninghe Liu, Kexuan Liu, Yixin Yang, Yifan Peng, Liangcai Cao

“…While recent advances in deep learning-based CGH algorithms have significantly improved the tradeoff between algorithm runtime and image quality, most existing models are restricted to a fixed propagation distance, limiting their adaptability in practical applications. …”
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Study of Propagation Mechanisms in Dynamical Railway Environment to Reduce Computation Time of 3D Ray Tracing Simulator by Siham Hairoud, Pierre Combeau, Yannis Pousset, Yann Cocheril, Marion Berbineau, Rodolphe Vauzelle

“…In this paper, we propose an algorithm to identify facets that have no significant impact on the wave propagation. …”
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Study on the anti-penetration randomness of metal protective structures based on optimized artificial neural network by Lan Liu, Weidong Chen, Shengzhuo Lu, Yanchun Yu, Mingwu Sun

“…This paper may have some significance in proposing Dynamic Lifecycle Genetic Algorithm—the new, universal heuristic algorithm, and providing the common technical method for the APRMPS study based on DLGABPNN-MCS, in the hope of promoting the application of Dynamic Lifecycle Genetic Algorithm in other optimization problems, and offering reference for the further study of APRMPS or the study of other random problems.…”
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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

“…In addition, two indicators have been proposed for a rough assessment which of the detection algorithms under current propagation conditions in the channel will allow to obtain a better BER.…”
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Improved Control Mechanism of Bottleneck Bandwidth and Round-Trip Propagation Time v3 Congestion with Enhanced Fairness and Efficiency by Hung-Chi Chu, Hao-Chu Chiang

“…In 2016, Google proposed the Bottleneck Bandwidth and Round-trip propagation time (BBR) algorithm to mitigate network congestion. …”
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Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model by Qu Wang, Haiyong Luo, Aidong Men, Fang Zhao, Xile Gao, Jie Wei, Yuexia Zhang, Yan Huang

“…In this article, we propose LIPOS, a three-dimensional indoor positioning system based on attitude identification and visible light propagation model. The LIPOS system takes advantage of the existing lighting infrastructures to localize mobile devices that have light-sensing capabilities (e.g. a smartphone) using light emitting diode lamps as anchors. …”
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Orthogonal Genetic Algorithm for Planar Thinned Array Designs by Li Zhang, Yong-Chang Jiao, Bo Chen, Hong Li

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Monte Carlo Integration With Efficient Importance Sampling for Underwater Wireless Optical Communication Simulation by Ruqin Xiao, Pierre Combeau, Lilian Aveneau

“…Previous tools have primarily relied on the Prahl algorithm, based on Monte Carlo simulation, and are therefore difficult to improve. …”
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Analysis of Congestion-Propagation Time-Lag Characteristics in Air Route Networks Based on Multi-Channel Attention DSNG-BiLSTM by Yue Lv, Yong Tian, Xiao Huang, Haifeng Huang, Bo Zhi, Jiangchen Li

“…As air transportation demand continues to rise, congestion in air route networks has seriously compromised the safe and efficient operation of air traffic. Few studies have examined the spatiotemporal characteristics of congestion propagation under different time lag conditions. …”
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A Non-Invasive and Highly Accurate Multi-Wavelength Light Near-Infrared Glucose Sensor Using A Multilevel Metric Learning–Back Propagation Network by Yuwei Chen, Chenxi Li, Bo Gao, Huangrong Xu, Weixing Yu

“…Non-invasive near-infrared (NIR) human glucose sensors have attracted great interest in managing diabetes mellitus and those with complex sensing backgrounds due to glucose absorption spectrum overlap. …”
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Analysing the ML-Based Algorithms for GNSS Data Bit Synchronization and Decoding by Bheki Madonsela, Emmanuel Wanyama Mukubwa, Innocent E. Davidson

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Water Quality Prediction Based on Hybrid Deep Learning Algorithm by Bhagavathi Perumal, Niveditha Rajarethinam, Anusuya Devi Velusamy, Venkatesa Prabhu Sundramurthy

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Synthesis of Thinned Concentric Circular Antenna Arrays Using Modified TLBO Algorithm by Zailei Luo, Xueming He, Xuedong Chen, Xin Luo, Xiaoqing Li

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Simulation of film transmission path based on ant colony optimization algorithm by Yiyuan Wang

“…The optimization effect of the propagation path is better.…”
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Image Inpainting Algorithm Based on Structure-Guided Generative Adversarial Network by Li Zhao, Tongyang Zhu, Chuang Wang, Feng Tian, Hongge Yao

“…The proposed methodology advances a two-stage restoration paradigm: (1) Structural Prior Extraction, where adaptive edge detection algorithms identify residual contours in corrupted regions, and a transformer-enhanced network reconstructs globally consistent structural maps through contextual feature propagation; (2) Structure-Constrained Texture Synthesis, wherein a multi-scale generator with hybrid dilated convolutions and channel attention mechanisms iteratively refines high-fidelity textures under explicit structural guidance. …”
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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

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Design of Fully Digital Controlled Shaped Beam Synthesis Using Differential Evolution Algorithm by D. Mandal, A. Chatterjee, A. K. Bhattacharjee

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Neighboring Algorithm for Visual Semantic Analysis toward GAN-Generated Pictures by Lu-Ming Zhang, Yichuan Sheng

“…Comprehensive experimental results have shown that our algorithm substantially improves the efficiency and accuracy of the natural evaluation of pictures generated by GAN. …”
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Simulation and Modelling of C+L+S Multiband Optical Transmission for the OCATA Time Domain Digital Twin by Prasunika Khare, Nelson Costa, Marc Ruiz, Antonio Napoli, Jaume Comellas, Joao Pedro, Luis Velasco

“…We start by considering approaches that can be used for accurate signal propagation modelling. Even though solutions such as the split-step Fourier method (SSFM) for solving the nonlinear Schrödinger equation (NLSE) have limited application for QoT estimation during provisioning because of their very high complexity and time consumption, they could be used to generate datasets for ML model creation. …”
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Data-driven seismic mechanical performance evaluation of RC columns based on adaptive optimization ensemble learning method integrating random forest and back propagation neural ne... by Ayong Jiao, Ziqing Jiao, Bin Gao

“…The existing analysis methods have shortcomings in calculation accuracy and efficiency. …”
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