Estimating building height using scene classification and spatial geometry by Yonghua Jiang, Jingxin Chang, Yunming Wang, Shaodong Wei, Deren Li

“…The results demonstrate that the estimated building height maintains high accuracy in complex environments with significant vegetation and shadow coverage, achieving a mean absolute error of 1.84 m. Furthermore, the proposed method outperforms existing DSM-based techniques. …”
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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…This study also provides a new open dataset to facilitate further research and advancements in this field.…”
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Comparison of the Short-Term Forecasting Accuracy on Battery Electric Vehicle between Modified Bass and Lotka-Volterra Model: A Case Study of China by Shunxi Li, Hang Chen, Guofang Zhang

“…Using the statistics data of China’s BEV amount of 21 months from Jan 2015 to Sep 2016, we compare the simulation accuracy based on the value of mean absolute percentage error (MAPE) and discuss the forecasting capacity of the two models according to China’s government expectation. …”
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Dynamic Simulation of Distribution Networks Using Multi-stage Discontinuous Galerkin Method by Ruizhi Yu, Wei Gu, Weiqi Liu, Peixin Li, Wei Liu

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Significant Influence on Residual Bending Strength by Cracks Generation During Grinding of Ceramics by Jinshuo Zhang, Tianyi Sui, Bin Lin, Bingrui Lv, Jingming Li, Jingguo Zhou

“…Lastly, a model is developed to delineate the relationship between processing parameters and the residual bending strength of the product, with the model exhibiting an error margin of less than 11%. This model clearly reveals the effect of crack generation under different process parameters on residual flexural strength.…”
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Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

“…This research presents a new method to improve analytical model fidelity for non-linear systems. …”
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A comprehensive study on robust Poisson James–Stein estimator for outlier and multicollinearity: Simulation and applications by Ohud A. Alqasem, Ali T. Hammad, Abdirashid M. Yousuf, E. Lsiddig Idriss Mohamed, Amin M. A. Haleeb, Ahmed M. Gemeay

“…Outliers introduce bias and inefficiency in the estimation, while multicollinearity leads to an inflated variance and thus increases the mean squared error and weakens the coefficient reliability. The Poisson maximum likelihood estimator often performs poorly under these conditions. …”
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Blue Laser Underwater Optical Visible Light Communication Using Recursive OFDM by Sameer Hassan, Yusor Al-Mayouf, Omar Mahdi, Wisam Abd Shukur, Marcel Ambroze

“…The new technology of blue laser is a type of VLC that has benefits in the application of underwater communications. This research article investigated the benefits of underwater blue laser communication with recursive OFDM for different water types and discovered the effects of baud rate, bit error rate, and latency which affected several subcarriers of the recursive OFDM that have same characteristics but different environments. …”
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CALPHAD-enabled design of metallic glasses with target properties: Gold-based glass for jewellery by Owain S. Houghton, Yurii P. Ivanov, Nikolaos T. Panagiotopoulos, A. Lindsay Greer

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Modeling and Simulation of Eddy Current Dissipation Magnetic Acceleration Noise of Space Inertial Sensors by Pengxuan Li, Zhiyin Sun, Wei Gao, Bingzhang Cao, Yunzhao Li, Liyi Li, Lei Wang

“…Using the parameters of the LPF’s TM, the calculation error of the semi-analytical model is reduced by about 4.64% compared with the approximate analytical model. …”
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High-speed aerated jet trajectory simulated by compounding method of Euler-Euler model and meshless SPH method by Junling He, Qingzhi Hou, Jijian Lian, Wenxiao Jia, Panhong Ren

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Layout Design Strategies for Scaling Down Semiconductor Systems Based on Current Flow Analysis in Interconnect by Seung Hwan Oh, Tae Yeong Hong, Sarah Eunkyung Kim, Jong Kyung Park, Seul Ki Hong

“…A resistance model reflecting this current distribution demonstrated high accuracy, with an error range of 1–3% compared to simulation results. …”
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Detection of Hydration on Nominally Anhydrous S-complex Main Belt Asteroids by Maggie McAdam, Cristina Thomas, Lauren McGraw, Andrew Rivkin, Joshua Emery

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Multiple Regression Analysis and Non-Dominated Sorting Genetic Algorithm II Optimization of Machining Carbon-Fiber-Reinforced Polyethylene Terephthalate Glycol Parts Fabricated via... by Anastasios Tzotzis, Nikolaos Efkolidis, Kai Cheng, Panagiotis Kyratsis

“…The present research deals with the processing of the additively manufactured Carbon-Fiber-Reinforced Polymer (CFRP) under dry and lubricated cutting conditions, focusing on the generated surface roughness. …”
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CDUNeXt: efficient ossification segmentation with large kernel and dual cross gate attention by Hailiang Xia, Chuantao Wang, Zhuoyuan Li, Yuchen Zhang, Shihe Hu, Jiliang Zhai

“…Currently, we can only rely on the doctor’s subjective experience for identification, with low efficiency and large error. In this study, a deep learning method is introduced for the first time into the diagnosis of ligamentum flavum ossificans, we proposed a lightweight, automatic and efficient method for identifying ossified regions, called CDUNeXt. …”
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Dairy Chain Safety in the Context of Antibiotic Residues—Current Status of Confirmatory Liquid Chromatography Methods: A Review by Sandra Dluhošová, Klára Bartáková, Lenka Vorlová, Pavlína Navrátilová, Oto Hanuš, Eva Samková

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Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon by Hongsheng Xu, Yungui Xu, Ke Wang, Yaping Li, Abdullah Al Ahad

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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

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An all integer-based spiking neural network with dynamic threshold adaptation by Chenglong Zou, Chenglong Zou, Xiaoxin Cui, Shuo Feng, Guang Chen, Yi Zhong, Zhenhui Dai, Yuan Wang

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Cognitive Load Identification of Pilots Based on Physiological-Psychological Characteristics in Complex Environments by Haibo Wang, Naiqi Jiang, Ting Pan, Haiqing Si, Yao Li, Wenjing Zou

“…The results of this study are more accurate compared with the cognitive load identification models established by other methods such as RNN neural network and support vector machine. This research is able to provide a useful reference for preventing and reduction of human error caused by the cognitive load during flight missions. …”
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