Application of Parametric Modeling Techniques for Automated Detailing of Exterior Finishes in Architectural BIM Models: A South Korean Case Study by Sihyun Kim, Min Htet Myint, Youngsu Yu, Wonbok Lee, Tae Wan Kim, Bonsang Koo

“…In particular, downspouts achieved a perfect accuracy score, while external wall finishes achieved a 94.42% reduction in modeling time. Modeling errors, which occurred due to inconsistencies in the test models, also demonstrate the need for specifying uniform modeling conventions of BIM model submissions in the detailed design phases.…”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

“…Furthermore, a significant reduction in computational time is measured when comparing the analysis time of CFD simulations to the training and testing time of the deep learning models.…”
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Application of a Phase-Change Material Heat Exchanger to Improve the Efficiency of Heat Pumps at Partial Loads by Koharu Tani, Sayaka Kindaichi, Keita Kawasaki, Daisaku Nishina

“…The calculations generally reproduced the experimental results, with root mean squared errors of 0.39 K for cooling and 0.84 K for heating, confirming their accuracy. …”
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Geometric line-of-sight guidance law with exponential switching sliding mode control for marine vehicles’ path following by Chengren Yuan, Chengren Yuan, Changgeng Shuai, Changgeng Shuai, Zhanshuo Zhang, Zhanshuo Zhang, Buyun Li, Buyun Li, Yuqiang Cheng, Yuqiang Cheng, Jianguo Ma, Jianguo Ma

“…It adapts to diverse compound paths by dynamically adjusting according to cross-track errors and local path curvature. Then, to enhance control performance, we present an improved exponential switching law for sliding mode control, enabling rapid convergence, disturbance rejection, and chatter reduction. …”
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Pro-cognitive efficacy of Prospekta in a rat model of age-associated cognitive impairment by Elena Kardash, Nataliya Petrova, Ksenia Ganina, Sergey Tarasov, Oleg Epstein

“…Results Treatment with Prospekta ameliorated cognitive functions, which resulted in a significant reduction of simple and choice reaction times for aged rats. …”
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Digital Institutional Transformation of Electronic Trading Platforms in the Field of Public Procurement of the Russian Federation by B. M. Bizhoev

“…It was revealed that the transfer of authority to the electronic trading platforms not only excludes the possibility of errors, unfair and opportunistic behavior of customers, and as a result – the imposition of fnes, but also reduces the time spent on procurement. …”
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MNPM: research on metabolic neural network prediction model for predicting carbon emission accuracy by Entao Luo, Li Shi, Jiyan Liu, Zheng Wu, Guoyun Duan, Lingxuan Zeng, Tangsen Huang

“…Accurately forecasting carbon emission trends is crucial for developing effective reduction strategies and ensuring sustainable green economic development. …”
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Impact of Data Assimilation Frequency and Observation Location in Thermal Effluent Modeling for Coastal Waters by N. Alsulaiman, M. vanReeuwijk, M. D. Piggott

“…A series of observing system simulation experiments were conducted using the OpenDA toolbox to identify the optimal observation location and DA frequency. Significant reductions in temperature prediction errors were achieved using the EnKF for state estimation. …”
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Risk−Based Cost−Benefit Optimization Design for Steel Frame Structures to Resist Progressive Collapse by Feng Guo, Xuancen Li, Aiyan Xu, Yuchen Zhang, Wanping Pan

“…Finally, the model’s effectiveness is validated through a case study, where the refined single-frame structure shows a reduction in initial construction and collapse-related costs by 2.4% and 9.1%, respectively. …”
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Design Optimization and Burst Speed Prediction of a Ti2AlNb Blisk by Yue Guo, Yi-xiong Liu, Yun-wu Wu, Hang Cao, Da Mo

“…The increasing demand for power, fuel efficiency, and safety of aeroengines has called for weight reduction and structural integrity examination of the critical components. …”
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Revisiting the Chemical Composition of WD 1145+017: Impact of Circumstellar Disk Contamination on Photospheric Abundances by Érika Le Bourdais, Patrick Dufour, Siyi Xu

“…Our study underscores the importance of accounting for circumstellar absorption, as neglecting them leads to significant abundance errors. Additionally, the analysis of the disk’s opacity highlighted an ultraviolet flux reduction due to a pseudo-continuum due to an optically thick component. …”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…Ionospheric data assimilation aims to address the uneven spatiotemporal distribution of observational data and errors in numerical models. This paper proposes an ionospheric data assimilation model using the hierarchical Bayesian network (HBN) algorithm. …”
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Design and Analysis of an MPC-PID-Based Double-Loop Trajectory Tracking Algorithm for Intelligent Sweeping Vehicles by Zhijun Guo, Mingtian Pang, Shiwen Ye, Yangyang Geng

“…To enhance the precision and real-time performance of trajectory tracking control in differential-steering intelligent sweeping robots and to improve the adaptability of the control algorithm to errors caused by sensor noise, tire slip, and skid, an MPC-PID (Model Predictive Control–Proportional-Integral-Derivative) dual closed-loop control strategy was proposed. …”
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Indirect Estimation of Seagrass Frontal Area for Coastal Protection: A Mask R-CNN and Dual-Reference Approach by Than Van Chau, Somi Jung, Minju Kim, Won-Bae Na

“…Furthermore, the method estimated seagrass frontal areas with errors below 10% (maximum 7.68% and minimum –0.43%), thereby demonstrating high accuracy by accounting for seagrass bending under flowing water conditions. …”
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Hyperelastic and viscoelastic properties of recycled rubber material – experimental and fem characterization study by Juan S. Rodriguez-Piedrahita, Liseth A. Muñoz-Gutierrez, Ingrid E. Madera-Sierra, Diego D. Pérez-Ruiz, Orlando Cundumí-Sanchez

“…The methodology involved characterizing an RR mix through multiple deformation modes (uniaxial compression and tension, simple shear, creep, and relaxation). Using an iterative error reduction method that considered all modes simultaneously, the Bergström-Boyce model achieved an average R2 value of 0.92 for the RR matrix alone. …”
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Characteristics of Orbit Determination with Short-Arc Observation by an Optical Tracking Network, OWL-Net by Jin Choi, Jung Hyun Jo, Kyung-Min Roh, Hong-Suh Yim, Eun-Jung Choi, Sungki Cho

“…The test results of the orbit determination results show that the most maximum orbit prediction errors after seven days are maintained at <10 km in the in-track direction for the short-arc observation simulations. …”
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A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM by Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li

“…The actual simulation results utilizing the Australian data validate the forecasting accuracy of the proposed model, achieving reduction in the root mean square error by 31.21% and 18.04% compared to the VAR and CEEMDAN-CNN-BILSTM, respectively.…”
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Synchronous Control of a Dual-Motor Driving Rack and Pinion Module for Steer-by-Wire System by Insu Chung, Sehoon Oh, Kanghyun Nam

“…In order to improve these two goals, the existing synchronous control structures mainly designed controllers in the case of command tracking, and synchronization between motors used a compensation method using synchronous error. However, this method makes it difficult to analyze or control the level of synchronous error. …”
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An Influence of Directional Microphones on the Speech Intelligibility and Spatial Perception by Cochlear Implant Users by Monika KORDUS, Richard S. TYLER, Jan ŻERA, Jacob J. OLESON

“…However localization in noise was less accurate as shown by a large number of considerable errors in localization in the confusion matrices. …”
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Increasing 3D Printing Accuracy Through Convolutional Neural Network-Based Compensation for Geometric Deviations by Moustapha Jadayel, Farbod Khameneifar

“…The predicted deviation field is then inverted and applied to the digital model to generate a compensated geometry, which, when printed, offsets the errors observed in the original part. Experimental validation using a complex reference geometry shows that the proposed compensation method achieves an 88.5% reduction in mean absolute geometric deviation compared to the uncompensated print. …”
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