Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…By analyzing the distance variations between the tunnel's point cloud pending optimization and the noise point cloud, points in close proximity are integrated back into the denoised point cloud from the first stage. …”
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Inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity over fixed point sets by Manatchanok Khonchaliew, Narin Petrot

“…Abstract This paper introduces an inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity, constrained over the fixed point set of a nonexpansive mapping in the framework of a real Hilbert space. The proposed method integrates inertial and subgradient strategies to enhance convergence properties while avoiding the computational challenges of metric projections onto complex sets. …”
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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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Examining the levels of psychological support available to patients with haematological cancer in England: a mixed methods study by Eila Watson, Catherine Henshall, Jo Brett, Kate Robinson, Anke Ehlers, Paul Dawson, Graham P Collins, Tracy Mitchell-Floyd, Anya Aspinall, Catriona Gilmour-Hamilton

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Spectral solutions for QS with distribution laws in the form of probabilistic mixtures by Veniamin N. Tarasov, Nadezhda F. Bakhareva

“…To derive a solution for the average waiting time in a queue, the classical method of spectral solution of the Lindley integral equation is used based on the Laplace transform of the distribution laws that form the considered QS. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Following this, we systematically categorize the existing object detection methods into four main approaches: (1) data enhancement-based ones, which enhance network robustness via augmentation of training datasets to account for weather variations; (2) point cloud denoising-based ones, which mitigate the effect of weather-induced noise via cleaning of raw point cloud data, thereby increasing detection accuracy; (3) domain adaptation-based ones, which use models trained under favorable weather conditions to guide the training of networks designed for adverse weather so as to enhance the model’s generalization ability; and (4) multisensor fusion-based ones, which enhance detection performance via integration of multimodal data from various sources, such as combining LiDAR with camera or radar. …”
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Methods of Laser Spectroscopy in Devices for Continuous Monitoring of O2 and CO Content in Boiler Smoke Gases by V. A. Firago, V. Wujcik, I. S. Manak, P. Komada, V. V. Krot

“…The paper shows that the least errors of continuous CO and O2 concentration monitoring at the presence of variations in dissipative losses have been ensured by the modified correlation method though its threshold sensitivity is less than integral and correlation ones.…”
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Telehomecare Monitoring for Patients Receiving Anticancer Oral Therapy: Protocol for a Mixed Methods Evaluability Study by Dominique Tremblay, Thomas Joly-Mischlich, Annick Dufour, Marie-Claude Battista, Djamal Berbiche, José Côté, Marco Décelles, Catherine Forget, Brigitte Guérin, Manon Larivière, Frédéric Lemay, Manon Lemonde, Éric Maillet, Nathalie Moreau, Michel Pavic, Sara Soldera, Catherine Wilhelmy

“…Further investigation into these variations factors will improve implementation processes and produce effective outcomes. …”
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Logging evaluation methods of low-organic matter fault-block shale oil in the Subei Basin and their application by QIAN Shiyou, YANG Zhiqiang, XU Chen

“…By integrating conventional and specialized logging methods, a logging interpretation model was developed to evaluate the lithology, reservoir properties, oil content, mobility, and fracability of the shale oil reservoir. …”
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A Comparative Evaluation of Three Different Attachment Methods for a Video Laryngoscope in a Surgical Setting by Linus L. Kienle, Leon R. Schild, Andreas M. Seitz, Viola D. Hahn, Jens Greve, Thomas K. Hoffmann, Patrick J. Schuler, Felix Boehm

“…Objective This study evaluates three attachment methods for integrating a curved video laryngoscope into a surgical setup, focusing on their resistance to external forces. …”
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Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds by Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi, Jacco Th. van Loon, Iain McDonald, Joana Oliveira, Amirhossein Masoudnezhad, Habib G. Khosroshahi, Bernard H. Foing, Fatemeh Fazel Hesar

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A Method for Predicting Trajectories of Concealed Targets via a Hybrid Decomposition and State Prediction Framework by Zhengpeng Yang, Jiyan Yu, Miao Liu, Tongxing Peng, Huaiyan Wang

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Probabilistic Elastic-plastic Fracture Mechanics Analysis of Propagation of Cracks in Pipes under Internal Pressure by Belaïd Mechab, Medjahdi Malika, Mokadem Salem, Serier Boualem

“…This study presents a three dimensional finite element method analysis of semi-elliptical surface cracks in pipes under internal pressure load. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

“…To address these challenges, this paper proposes a multi-module fusion prediction model—TSMixer-BiKSA network—that integrates multi-feature inputs, Variational Mode Decomposition (VMD), and a dual-branch parallel architecture for 1- to 3-day-ahead multi-step forecasting of new COVID-19 cases. …”
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Stability Evaluation Method for Rock Slope-Anchorage Systems Based on Genetic Algorithms and Discrete Element Analysis by Peng Xia, Bowen Zeng, Yiheng Pan

“…Based on the results from discrete element analysis, the proposed method assesses the dynamic variation of multi-field data within the rock slope anchorage system, facilitating a comprehensive stability evaluation. …”
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A new method to improve the power quality of photovoltaic power generation based on 24 solar terms by Qingqing Li, Wangjie Pan, Wangwang Jin, Qian Li, Zede Liang, Yuan Li

“…It was validated that the proposed grid connection method increases power grid stability by 17.75%. The average grid connection method developed in this paper, which more accurately aligns with seasonal solar radiation variations, contributes to advancing grid-connected PV systems and provides a practical strategy for large-scale PV power integration.…”
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YOLO-OHFD: A YOLO-Based Oriented Hair Follicle Detection Method for Robotic Hair Transplantation by Hui Wang, Xin Liu

“…YOLO-OHFD incorporates the ECA-Res2Block in its feature extraction network to manage occlusions and hair follicle orientation variations effectively. A Feature Alignment Module (FAM) is embedded within the feature fusion network to ensure precise multi-scale feature integration. …”
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Multi-Timescale Voltage Control Method Using Limited Measurable Information with Explainable Deep Reinforcement Learning by Fumiya Matsushima, Mutsumi Aoki, Yuta Nakamura, Suresh Chand Verma, Katsuhisa Ueda, Yusuke Imanishi

“…This study proposes a Machine Learning (ML)-based control method for sub-transmission grids, integrating long-term LRT tap-changing with short-term reactive power control of PCSs. …”
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Chemical Characteristics of Stack Particulate Matter Emitted from Sintering Process of an Integrated Steel Mill and Resolution of Source Contributors on Boundary PM2.5 by Cheng-Tsung Shao, Yu-Lun Tseng, Chung-Shin Yuan, Wen-Hsi Cheng, Nian-Jie Li, Jia-Yi Zhao

“…Methods PM2.5 samples were simultaneously collected from three stacks of the sintering process and two boundary sites located at the upstream (Site N) and downstream (Site S) of the steel mill. …”
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Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

“…In this work, we propose the general idea of using a path-finding algorithm to solve a variational problem. By interpreting a variational problem of finding the function that minimizes a functional integral as a shortest path finding, we can apply the shortest path-finding algorithm to numerically estimate the optimal function. …”
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