Assessing SWOT's Hydraulic Visibility on the Rhine: Precision Flow Lines and Slope‐Based Flood Wave Propagation Signatures by T. Ledauphin, P.‐A. Garambois, K. Larnier, M. Azzoni, C. Emery, N. Picot, S. Amzil, R. Fjørtoft, J. Maxant, H. Yésou

“…Using the RiverObs algorithm, all river products were reprocessed over the entire Cal/Val period (103 cycles), achieving a 1‐sigma absolute error of 12 cm at the node scale and 10 cm at the reach scale. …”
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Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

“…The experimental results show that the improved network recognition accuracy reaches an impressive 96.30%, which is 3.01% higher than the baseline model. …”
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Simultaneous Wood Defect and Species Detection with 3D Laser Scanning Scheme by Zhao Peng, Li Yue, Ning Xiao

“…The integration algorithm is used to calculate the surface area and volume of every defect. …”
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Assessing risks of developing and persistence of infectious process in knee joint replacement by A. N. Grishchuk, S. N. Leonova, A. L. Kameka

“…Despite of intensive work on improving endoprosthetic replacement constructions, using minimally invasive techniques, developing methods of prevention for and treatment of periprosthetic joint infection, relapse of infection process can reach up to 52 % after treatment.The aim of the study: to show the importance of identifying the risks of development and recurrence of periprosthetic infection after implantation of a knee joint endoprosthesis. …”
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Detection of GNSS spoofed signals based on the weighted moving average bias correction method by Chuanyu Wu, Yuanfa Ji, Xiyan Sun

“…In addition, this paper proposes a Weighted Moving Average Bias Correction (WMA-BC) algorithm for metric post-processing. Comparative experiments with Moving Average (MA) and Moving Variance (MV) based SQM methods demonstrate that the WMA-BC algorithm achieves substantial advantages in Detection Rate enhancement and significantly improves the Area Under Curve (AUC) of the Receiver Operating Characteristic (ROC). …”
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Modeling pegcetacoplan treatment effect for atrophic age-related macular degeneration with AI-based progression prediction by Irmela Mantel, Romina M. Lasagni Vitar, Sandro De Zanet

“…The algorithm output was a step-less individualized topographic modeling of the RORA growth, allowing for illustrating the progression line corresponding to an 80% growth compared to the natural course of 100% growth. …”
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Moving Target Recognition Based on HSV Color Space by FU Changfei, YE Bin, LI Huijun

“…Experimental results show that the average processing speed can reach 102.33 frame per second and the recognition accuracy is about 97.4% by the proposed method. …”
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Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

“…The CPLID (China Power Line Insulator Dataset) was tested to verify the effectiveness of the proposed algorithm. The results show its model size is only 6.40 M, and the mean accuracy on the CPLID dataset reaches 98.6%, 0.8% higher than that of the YOLOv8n. …”
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De-speckling 2D-Discrete Wavelet Transform with Hard Threshold Stage by Dhafer Hasan, Maha Abdul-Jabar, Zahraa Abed Al-Mokhtar

“…This paper represents the algorithm to remove the speckle noise by using logarithm operation. …”
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Slipping Trend Prediction Based on Improved Informer by Jingchun Huang, Sheng He, Haoxiang Feng, Yongjiang Yu

“…The transformer-based Informer algorithm performs well in time series prediction and analysis. …”
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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…Aiming at alleviating the energy consumption challenge in a multi-task FL environment, we design an automatic Multi-Task FL Deployment (MFLD) algorithm to reach the local balancing and energy consumption goals. …”
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Implementation of Extreme Programming and Simple Additive Weighting for Web-Based Sales and Product Preference Analysis in Traditional Herbal Businesses by Sumardiono Sumardiono, Wiwit Priyadi, Harjunadi Wicaksono, Hadi Santosa, Khoem Sambath, Andi Daffa Liefalza

“…Recommendations for further research are to expand the number of respondents, integrate online payment features, and develop mobile-based applications to reach a wider market.…”
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A hybrid VMD-LSTM-SVR model for landslide prediction by Nianhong Wang, Meijun Wang, Jun Zhang

“…This study employs the Long Short-Term Memory (LSTM) neural network and Support Vector Regression (SVR), combined with the Variational Mode Decomposition (VMD) algorithm, to construct predictive models. Initially, the VMD algorithm decomposes the landslide displacement time series into trend, periodic, and stochastic components. …”
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Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs by Sara Mahmoudi Rashid, Ehsan Akbari, Farshad Khalafian, Mohmmad Hossein Atazadegan, Saeid Shahmoradi, Abbas Zare Ghaleh Seyyedi

“…As a main search algorithm, a hybrid combination of water cycle algorithm (WCA) and ant lion optimization (ALO) is proposed to find the optimum solution with a small standard deviation. …”
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Developing a Distributed Consensus-Based Cooperative Adaptive Cruise Control System for Heterogeneous Vehicles with Predecessor Following Topology by Ziran Wang, Guoyuan Wu, Matthew J. Barth

“…In this study, we propose a novel CACC system, where distributed consensus algorithm and protocol are designed for platoon formation, merging maneuvers, and splitting maneuvers. …”
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Apple Variety Identification Using Near-Infrared Spectroscopy by Caihong Li, Lingling Li, Yuan Wu, Min Lu, Yi Yang, Lian Li

“…Especially, the SPA-ELM model could reach 98.33% identification accuracy on the calibration set and 96.67% on the prediction set. …”
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Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks by Wenqian Xue, Hengzhi Zhang, Yong Li, Dong Liang, Mugen Peng

“…Power adjustment on each resource block is carried out via Lagrange optimizing algorithm to compensate the breakdown cell. Through intensive numerical experiments, with the help of our proposal, the outage cells can be successfully detected and performance gain for the outage macrocell can reach 91.4% with α=1/3.…”
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Complex-Valued CNN Nonlinear Equalization Enabled 36-Tbit/s (45×800-Gbit/s) WDM Transmission Over 3150 Km Using Silicon-Based IC-TROSA by Yuhan Gong, Xiaoshuo Jia, Ying Zhu, Kailai Liu, Ming Luo, Jin Tao, Zhixue He, Chao Li, Zichen Liu, Yan Li, Jian Wu, Chao Yang

“…Regarding transmission distance, employing CVCNN extends the maximum reach from 3500 km to 3850 km. The paper also demonstrates the application of CVCNN in WDM systems, enhancing system performance across different WDM encoding schemes. …”
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Partial Discharge Type Identification of 10 kV T-Type Terminal Based on Empirical Mode Decomposition and Deep Convolution Neural Network by Shude Cai, Chunhua Fang, Yongyu Guo, Jialiang Liu, Gu Zhou

“…The results show that the overall defect recognition rate of this method reaches 95.3%. Compared with the traditional random forest algorithm (RF), the 10 kV T-type terminal partial discharge type recognition method based on EMD–DCNN is considered in this paper. …”
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Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin by Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu

“…With the deep learning‐based method, the accuracy of collision localization can reach 2.85 ± 1.90 mm and the prediction error of collision energy can reach 9.8 × 10−4 ± 8.9 × 10−4 J. …”
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