Assessing Geometry Perception of Direct Time-of-Flight Sensors for Robotic Safety by Jakob Gimpelj, Marko Munih

“…Quantitative metrics including the root mean square error, mean absolute error, area difference, and others were used to evaluate measurement accuracy. …”
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Ocean Surface Current Observation with a Dual Monopole-Cross-Loop Antenna Array by Yeping Lai, Hao Zhou, Yuming Zeng, Biyang Wen

“…The results demonstrated that it is advisable to adopt the dual MCL antenna array in operational applications.…”
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Analysis and Mitigation of the Narrowband Interference Impact on IR-UWB Communication Systems by Ehab M. Shaheen, Mohamed El-Tanany

“…A closed form expression for the bit error rate performance of UWB communication system in a Log-normal flat fading channel under such impact is evaluated. …”
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Enhanced hourly temperature prediction using advanced ensemble neural networks for energy system efficiency optimization in hyper-arid regions by Abdennasser Dahmani, Ikram Kouidri, Nadjem Bailek, Lotfi Mouni, Shabana Urooj, Jihad A. Younis, Bilel Zerouali, El-Sayed M El-Kenawy, Celso Augusto Guimarães Santos, Abdel-Nasser Sharkawy

“…Moreover, the model’s validity was confirmed through applicability domain analysis using the Williams plot, which showed that over 97% of the predictions fell within acceptable error limits. …”
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Color-Shift Keying for Optical Camera Communication Using a Rolling Shutter Mode by Hao-Wei Chen, Shang-Sheng Wen, Xing-Lin Wang, Ming-Zhu Liang, Mu-Yun Li, Qing-Chang Li, Yun Liu

“…A net data rate of 8.64 kbps and a pixel efficiency of 3.75 pixels per bit were achieved while keeping the BER below 3.8E-3, which meets the FEC's 7% forward error correction requirement. In addition, the system shows good robustness for indoor applications.…”
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Regional Geomagnetic Field Modeling Based on Associated Legendre Polynomials by Libo Zhu, Houpu Li, Jineng Ouyang, Bo Zhu, Ming Chang

“…The results indicate that the degree 83 R−ALPOLM achieves a root mean square error (RMSE) of 3.21 nT. Compared to traditional models, the proposed model exhibits lower error rates, highlighting its superior efficiency and predictive accuracy. …”
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A simplified method to determine the wall thickness of GCL composite cutoff wall by Sheng-Yi Deng, He-Fu Pu, Zhong-Ping Chen, Tao Xu, Ming Min

“…Geosynthetic clay liners (GCLs) have recently been incorporated into the traditional soil walls to form GCL composite vertical cutoff walls for waste containment applications in contaminated sites. This novel cutoff wall has been used in engineering practice; however, the design method of this composite cutoff wall has rarely been reported. …”
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Method for Determining Igneous Rock Mineral Content Using Element Logging Data Based on Variational AutoEncoder by JIA Ruilong, PAN Baozhi, WANG Qinghui, LI Yan, GUAN Yao, WANG Xinru

“…The model validation reveals that the proposed model has a smaller mean absolute error and mean square error compared to three typical methods: BP (Back Propagation) neural networks, ridge regression and support vector machines. …”
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Optimization of the Backstepping Control Parameters of an Active Electrohydraulic Suspension to Improve Passenger Comfort and Road Handling by Rachid Fattah, Jean-Pierre Kenne, Khalid Benjelloun, Ahmed Chebak

“…These findings establish a new benchmark for intelligent suspension control, making our approach a strong candidate for real-world automotive applications.…”
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Cooperative localization considering estimated location uncertainty in distributed ad hoc networks by YoungJoon Kim, Byeongho Lee, Hyoungmin So, Dong-Hwan Hwang, Seong-Cheol Kim

“…Localization is an essential service for numerous applications in wireless ad hoc networks. In particular, cooperative localization is a widely used technique for improving performance by utilizing information obtained from adjacent sensors. …”
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Development of a method for multielemental determination in water by EDXRF with radioisotopic source of 238Pu. by Camilo Fuentes Serrano, Juan Reinaldo Estevez Alvares, Alfredo Montero Alvarez, Ivan Pupo Gonzales, Zahily Herrero Fernandez, Dennys Leyva Bombuse, Piet Van Espen, Jossue Arteche Diaz, Lino Valcarcel Rojas, Jose Araujo Dos Santos Júnior

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Optimized Artificial Neural network models to time series by Marwan Abdul Hameed Ashour

“…To determine the best or the optimal ANN models, forecast Skill (SS) employed to measure the efficiency of the performance of ANN models. The mean square error and the absolute mean square error were also used to measure the accuracy of the estimation for methods used. …”
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PAPR Reduction of OTSM with Random and Orthogonal SLM Phase Sequences and its Recovery in the Presence of EPA, EVA and ETU Channel Models by M. I. Al-Rayif

“…As a result, this proposal shows reliable performance in terms of PAPR reduction, bit error rate (BER) and side information error rate (SIER) of the OTSM system at a fraction of extension values (f=0.09 and C=1.15) while maintaining power efficiency.…”
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Stabilizer codes for Heisenberg-limited many-body Hamiltonian estimation by Santanu Bosu Antu, Sisi Zhou

“…In this work, we study the performance of stabilizer quantum error correcting codes in estimating many-body Hamiltonians under noise. …”
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Systematic scheme for performance measurement in display–camera-based sensing networks by Changsheng Chen, Wai Ho Mow

“…In the experiment, we first define the consistency criteria based on the error-prone regions in the bit error rate plots of the channel measurements. …”
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An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation by Asmaa Mohamed El-Saieed

“…Evaluation using real-world weather datasets reveals that the proposed model significantly surpasses conventional forecasting methods in mean squared error and mean absolute error metrics. This work underscores the applicability of transformer models in predicting temperature and radiation for PV generation, offering a scalable and efficient forecasting solution vital for sustainable energy management. …”
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A Modified Kalman Filter Based on Radial Basis Function Neural Networks for the Improvement of Numerical Weather Prediction Models by Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis

“…The derived results demonstrate a significant reduction in systematic error, as the bias decreased by up to 88% for 10-meter wind speed and 58% for 2-meter air temperature. …”
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Assessment for Thermal Conductivity of Frozen Soil Based on Nonlinear Regression and Support Vector Regression Methods by Fu-Qing Cui, Wei Zhang, Zhi-Yun Liu, Wei Wang, Jian-bing Chen, Long Jin, Hui Peng

“…To further facilitate engineering applications, the prediction models of two soil categories (coarse and fine-grained soil) have also been proposed. …”
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Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

“…The accuracy of the suggested strategy for handling nonlinear problems is verified utilizing mean squared error, error histograms, and regression analysis, which are all used to evaluate the methodology. …”
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Pedometric mapping for soil fertility management – A case study by H.U. Leena, B.G. Premasudha, S. Panneerselvam, P.K. Basavaraja

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