A Novel Method Based on Particle Flow Filters for Stellar Gyroscope Parameter Estimations by Erol Duymaz

“…Inertial sensors are commonly used in many applications for a while. They provide important information about the orientation but are prone to structural errors, which makes it impossible to use their raw data. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…The PD-PINN incorporates proportional-derivative error terms into a physics-informed learning process, where the loss function explicitly embeds the system’s governing equations into the backpropagation algorithm. …”
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Robust Current Sensing in Rectangular Conductors: Elliptical Hall-Effect Sensor Array Optimized via Bio-Inspired GWO-BP Neural Network by Yue Tang, Jiajia Lu, Yue Shen

“…The elliptical configuration reduces the installation footprint by 72.4% compared with conventional circular sensor arrays while maintaining a robust suppression of eccentricity- and tilt-induced errors, proving critical for space-constrained applications, such as electric vehicle powertrains and miniaturized industrial inverters. …”
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Comparative analysis of frequency characteristics for constructing digital models options of components of electrical complexes aperiodic units by Alexander S. Glazyrin, Evgeniy I. Popov, Semen S. Popov, Vladimir A. Kopyrin, Sergey N. Kladiev, Andrey P. Leonov, Nataliya A. Voronina, Vladimir Z. Kovalev

“…As a result, the aim of the paper is to determine the limits of applicability in the frequency domain of existing methods of transition to the Z-region using the analog prototype method by conducting a comparative analysis of the integral error in approximating the frequency characteristics of the analog prototype with digital models of the aperiodic link for each of the methods. …”
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Métodos de estimativa da evapotranspiração de referência diária para a microrregião de Garanhuns, PE Daily reference evapotranspiration estimating methods for the Garanhuns, PE mic... by João C. F. Borges Júnior, Raimundo J. Anjos, Tonny J. A. Silva, José R. S. Lima, Camilo L. T. Andrade

“…Considering the mean absolute error (MAE), among other statistics, it was verified that the best performance was obtained by the Priestley-Taylor method. …”
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APPLICATION OF LINEAR AND NONLINEAR EXTRAPOLATIONS IN ANALYZING THE TRENDS OF CHANGES IN FINANCIAL STABILITY by EVGENY Negashev

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Recurrent neural network based turbo decoding algorithms for different code rates by Shridhar B. Devamane, Rajeshwari L. Itagi

“…Application of deep learning to error control coding is gaining special attention and neural network architectures on decoding are approached to compare with conventional ones. …”
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Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO₂ Based on Data Reconciliation by Liang Xu, Jiarui You, Jiahua Wu, Yikang Liu, Di Zhang

“…In this paper, a data reconciliation model is established based on the waste heat recovery system of a gas turbine using supercritical CO₂ (S-CO₂) cycle with two S-CO₂ turbines, and several random errors and gross errors are added to verify the data reconciliation ability of the model. …”
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Performance Analysis of SIMO‐UVLC System in Mix‐Water Medium by Mohammad Furqan Ali, Dushantha Nalin K. Jayakody

“…ABSTRACT This research endeavors to investigate the end‐to‐end performance metrics of a submerged AUV within the Single‐Input‐Multi‐Output underwater visible‐light communication (UVLC) system operating in moderate‐to‐strong turbulence channel conditions while accounting for pointing errors. In this study, the closed‐form expressions of analytical work are derived by using the probability density function and cumulative density function with a specific focus on Gamma‐Gamma distribution channel. …”
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Characteristics and Mechanisms of Single Event Effects Caused by Atmospheric Neutrons in System in Package Device by YE Jiefeng1, 2, LIANG Chaohui2, ZHANG Zhangang2, ZHENG Shunshun1, 2, LEI Zhifeng2, LIU Zhili3, GENG Gaoying3, HAN Hui1

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Walsh Transform-based Image Compression for Less Memory Usage and High Speed Transfer by Aqeel Majeed Breesam, Ali M. Zalzala, Esraa Najjar

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Short packet communication in IoT networks: performance analysis by Dinh-Tung Vo, Thu Ha Thi-Pham, Minh Tran, Byung-Seo Kim, Rupak Kharel, Miroslav Voznak

“…In this paper, we investigated the block error rate (BLER) performance of a wireless powered communication network (WPCN) employing short packet communication (SPC). …”
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Dynamical and computational analysis of fractional Whitham-Broer-Kaup equations arising in shallow-water waves by Amit Kumar, Devendra Kumar, Dumitru Baleanu

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Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

“…This study introduces a robust approach for denoising pressure signals by integrating Improved Complete Ensemble Empirical Mode Decomposition (ICEEMDAN), Continuous Mean Square Error (CMSE) analysis, optimal wavelet selection, and wavelet thresholding techniques. …”
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A POD-Based Reduced-Dimension Method for Solution Coefficient Vectors in the Crank–Nicolson Mixed Finite Element Method for the Fourth-Order Parabolic Equation by Xiaohui Chang, Hong Li

“…Initially, the CNMFE schemes and corresponding matrix schemes for the equation are established, followed by a thorough discussion of the uniqueness, stability, and error estimates for the CNMFE solutions. Next, a matrix-form reduced-dimension CNMFE (RDCNMFE) method is developed utilizing proper orthogonal decomposition (POD) technology, with an in-depth discussion of the uniqueness, stability, and error estimates of the RDCNMFE solutions. …”
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Comparative analysis of the performance of regression machine learning models for indoor visible light positioning systems by Mohamed Hussien Moharam

“…The experimental results indicate that XGBoost achieved the best performance, with remarkably low error rates, producing a MAPE of 0.0022%, an RMSE of 0.0011, and a perfect R2 score of 1, thus being the most effective model for this application. …”
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Data Reconciliation for Assessing Compliance of Physicochemical Properties of Petroleum Products in Commercial Transactions by Rosana Medeiros Moreira, Ariadne Mayra Silva Rocha, Elcio Cruz de Oliveira

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Gaussian Q Function Approximation in Wireless Communication System’s Design: A Gradient-Based Optimization Approach by Leuva Bhumika Ranchhodbhai, Dharmendra Sadhwani

“…The primary goal is to iteratively minimize the error or cost function, progressively refining local minima across successive iterations. …”
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Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM)... by Ziyang Wang, Masahiro Mae, Takeshi Yamane, Masato Ajisaka, Tatsuya Nakata, Ryuji Matsuhashi

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A Bayesian Approach to Step-Stress Partially Accelerated Life Testing for a Novel Lifetime Distribution by Mervat K. Abd Elaal, Hebatalla H. Mohammad, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Sara M. Behairy, Reda M. Refaey

“…Bayes estimators of the model parameters and acceleration factor are derived under both symmetric (balanced squared error) and asymmetric (balanced linear exponential) loss functions using informative priors. …”
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