Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…To address this issue, a model order reduction method (MOR) is proposed in this study, transitioning from a high-fidelity solid model to a computationally more efficient lower-fidelity beam model. …”
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Improved EEMD Denoising Method Based on Singular Value Decomposition for the Chaotic Signal by Xiulei Wei, Ruilin Lin, Shuyong Liu, Chunhui Zhang

“…The chaotic vibration is extremely nonlinear and has a broad range of frequencies; linear filtering methods are not effective for chaotic signal noise reduction. …”
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Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method by Zhuo Chen

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Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…Experimental validation on the KITTI dataset demonstrates a significant reduction in offset error compared to state-of-the-art methods like DeepVO and TartanAir.…”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Methods:</b> Two CL-oriented strategies are assessed: Confident Joint Analysis (CJA) employing DeeplabV3+ with a ResNet-50 architecture, and Prune by Noise Rate (PBNR) utilizing ResNet-18. …”
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Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning by Laor Boongasame, Jirapond Muangprathub, Karanrat Thammarak

“…In contrast to traditional methods, Laor adopts a data-driven approach that enhances convergence’s stability and efficiency. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Overall, the P-wave arrival picking error of the denoised signals using the S/L-AIC method remains generally within 10 ms. …”
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Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks by Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin

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A Method to Estimate Sea Surface Wind Vectors Using Geostationary Satellites by Zhang Yunkai, Xu Na, Zhai Xiaochun, Zhang Peng

“…Therefore, a new method based on a fully-connected neural network (FCNN) is proposed to address this issue. …”
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Denoising of Images using Wavelet Transform by M. Koteswara Rao, G. Chandra Reddy, K. V. Rama Rao

“…Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. …”
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Dynamic Force Identification for Beamlike Structures Using an Improved Dynamic Stiffness Method by S.L. Chen, M. Géradin

“…Because the technique partly bypasses the processes of modal parameter extraction, global matrix inversion, and model reduction, it can eliminate many of the approximations and errors that may be introduced during these processes. …”
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Robust Parameter Inversion and Subsidence Prediction for Probabilistic Integral Methods in Mining Areas by Xinjian Fang, Rui Yang, Mingfei Zhu, Jinling Duan, Shenshen Chi

“…A critical challenge in subsidence prediction lies in the sensitivity of existing probabilistic integral parameter inversion methods to gross errors, leading to unstable predictions and compromised reliability. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Compared with existing fault diagnosis methods, our method not only has the advantages of easy extraction of effective data features, higher accuracy, and strong generalization ability but can also detect an abnormal state indicating a coming fault and identify its type, hence enabling the preparation of an appropriate advance solution.…”
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Optimized Controller Design Using Hybrid Real-Time Model Identification with LSTM-Based Adaptive Control by Yeon-Jeong Park, Joon-Ho Cho

“…This method compensates for the delay time of the SOPTD model while minimizing the Integral Time Absolute Error performance index. …”
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Two-to-One Trigger Mechanism for Event-Based Environmental Sensing by Nursultan Daupayev, Christian Engel, Sören Hirsch

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Applicability of the “5S Management Method” for Quality Improvement at Health Care Facilities in India by Aesh Katiyar, Jay Patwa, Nikhil Chavda

“…Post-implementation, turnaround time decreased for case registration, pharmacy, and emergency room services while laboratory efficiency improved, accompanied by reductions in medical errors and hospital-acquired infections. …”
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Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

“…Herein, we provide an update to de Marsily’s paper entitled “Four Decades of Inverse Problems in Hydrogeology” [De Marsily et al., 2000], but with a particular focus on the incredible adoption and advancement of de Marsily’s PPM and related inverse techniques over the last twenty years in the field of predictive groundwater modeling.Much has been written about the vast array of inverse techniques developed by researchers and practitioners since the 1960s. de Marsily’s PPM, like many methods developed in the late 70s and early 80s, structured its approach to parameterization to overcome many of the challenges of applying inverse methods to real world problems, namely, limited head and transmissivity data relative to the number of unknowns to be estimated, measurement errors, inferred covariance structures of the state variables, and limited computational resources. …”
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Voltage Control of 3-Phase 4-Leg Multilevel Inverter with Minimum Number of Switching States by Firas AL-Fadhli, Ammar Ibrahim Majeed, Mohammad Khazaal, Benmessaoud Mohammed Tarik

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Abnormal sound detection method for coal mine belt conveyors based on convolutional autoencoder by SHEN Long, SHAN Haoran, PEI Wenliang, YANG Guixiang, WANG Yongli

“…Next, the normal operation audio features and the reconstructed normal operation audio features were input into the Mean Squared Error Loss function (MSELoss) to obtain the reconstruction error, with the maximum reconstruction error set as the reconstruction threshold for normal operation audio features. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…The comparative results demonstrate that, while satisfying the positioning error requirements, our proposed method achieves a reduction of over 1.5% in total flight distance for maritime UAVs compared to the NSGA-II algorithm.…”
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