A Review of Inertial Navigation Technologies for Remotely Operated Vehicles by LAI Yu, ZHU Jun

“…However, due to the accumulative error over time induced by integral computation, pure inertial navigation systems often deploy various ranging or acoustic positioning approaches to yield accurate position information. …”
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Application of machine learning with gradient descent method for load forecasting: a performance analysis by Saroj Kumar Panda, Manoj Kumar Panda

“…Based on the choice of input sample and root mean square error (RMSE), the DNN comparison is carried out. …”
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Increasing ADC dynamic range in information-measuring systems by methods of digital signal processing by B. V. Chuvykin, M. M. Nikiforov

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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research effectively mitigates outliers and compensates for incomplete data—persistent issues in dynamic manufacturing environments. …”
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IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN) by K. Prasada Rao, T. Victor Babu, G. Anuradha, B.V. Appa Rao

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Distribution Optimization Method for Power Environment-Friendly Mixed Insulation Gas by Jie DONG, Bo YANG, Guoxin YI, Haichuan HE, Le MA

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TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis by Thang K. Nguyen, Chuyen T. Nguyen, Hoang D. Le, Anh T. Pham

“…In the domain of the last-mile access for the Internet of Vehicles (IoV), hybrid free-space optical (FSO)/radio-frequency (RF) communication has recently attracted worldwide research efforts. While the transmission control protocol (TCP) is the most widely deployed transport protocol on the Internet, its performance in the error-prone environment of LEO satellite-assisted hybrid FSO/RF vehicular networks is not well understood. …”
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Direct Synthesis of Fractional-Order Controllers Using Only Two Design Equations with Robustness to Parametric Uncertainties by Carlos Muñiz-Montero, Jesus M. Munoz-Pacheco, Luis A. Sánchez-Gaspariano, Carlos Sánchez-López, Jesús E. Molinar-Solís, Melissa Chavez-Portillo

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Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions by Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li

“…While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially continuous and large patch sizes of forested lands, limited research has addressed the challenges of FCH extraction in plain regions with sparse and fragmented forest distributions. …”
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MobNas ensembled model for breast cancer prediction by Tariq Shahzad, Sheikh Muhammad Saqib, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Mamoon M. Saeed, Habib Hamam

“…From the findings of this research, it is evident that MobNAS can enhance diagnostic accuracy and reduce existing shortcomings in breast cancer detection.…”
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A Point Cloud Registration Method Based on Point-to-Triangulation Estimation for Optical Window Free-Form Surfaces Testing by Coordinate Measuring Machine by Chuanchao Wu, Junjie Shi, Taorui Li, Haijiao Huang, Fudong Chu, Siyuan Jiang, Longyue Li, Chiben Zhang

“…Optical window freeform surfaces have emerged as a critical research focus in advanced optical engineering owing to their extensive surface degrees of freedom. …”
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Macro-economic determinants of the IPO waves: An assessment of G-7 countries [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved] by Esin Benhür Aktürk, MUSTAFA ÖZYEŞİL

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Research on Path-Following Technology of a Single-Outboard-Motor Unmanned Surface Vehicle Based on Deep Reinforcement Learning and Model Predictive Control Algorithm by Bin Cui, Yuanming Chen, Xiaobin Hong, Hao Luo, Guanqiao Chen

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Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination responseResearch in context by Hannah Stacey, Michael A. Carlock, James D. Allen, Hannah B. Hanley, Shane Crotty, Ted M. Ross, Tal Einav

“…Summary: Background: Despite decades of research on the influenza virus, we still lack a predictive understanding of how vaccination reshapes each person’s antibody response, which impedes efforts to design better vaccines. …”
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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…In order to further accurately predict gas emission of working face, this paper proposes a prediction model of gas emission of working face based on the combination of improved artificial bee colony algorithm and weighted least squares support vector machine (IABC-WLSSAVM). The research steps are as follows: Firstly, in order to obtain the sparse solution of LSSVM, a more reliable prediction model is realized by weighting the error value. …”
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Research on Multi-crane Cooperative Micro-motion Control of Combined Gantry Cranes for Turnout Laying and Replacement of High-speed Railways Based on Self-learning by LYU Maoyin, NIU Xuexin, CHEN Qishen, ZHAN Taiping

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Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)–Transformer Models by Yunbin Ma, Zuyue Shang, Jie Zheng, Yichen Zhang, Guangyuan Weng, Shu Zhao, Cheng Bi

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Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

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The Determinants of Two-Wheeled Vehicle Riders’ Riding Behavior and Their Consequences: A Literature Review, Conceptual E-TPB Model, and Research Agenda by Haibing Yang, Muhamad Nazri Borhan, Ahmad Nazrul Hakimi Ibrahim, Fazilatulaili Ali

“…Human error, particularly risky riding behaviour, dominates the causes of 30% of the global fatalities involving two-wheeled vehicles such as bicycles, motorcycles, e-bikes and e-scooters. …”
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A Novel Approximation Method for Solving Ordinary Differential Equations Using the Representation of Ball Curves by Abdul Hadi Bhatti, Sharmila Karim, Ala Amourah, Ali Fareed Jameel, Feras Yousef, Nidal Anakira

“…Numerical methods are frequently developed to investigate concepts for approximately solving ordinary differential equations (ODEs). To achieve minimal error and higher accuracy in approximate solutions, researchers have focused on developing algorithms using various numerical techniques. …”
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