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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In Situ Evaluation of the Self-Heating Effect in Resistance Temperature Sensors by Przemysław Otomański, Eligiusz Pawłowski, Anna Szlachta

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A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application by Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, Yeong Min Jang

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Application of Six Sigma management in infection control in the operating room (六西格玛管理在手术室感染控制中的应用效果) by XU Xu (徐旭), REN Guqun (任顾群), WANG Yuena (刘建荣), LIU Jianrong (高燕), GAO Yan (王小洁), WANG Xiaojie (许远乐)

“…Satisfaction rate in the observation group was higher than that in the control group(P＜0. 01). Conclusion Application of Six Sigma projects could effectively reduce the risk of operation error, iatrogenic infection and massive bleeding during and after operation, improve patient satisfaction and the management efficiency in the operating room. …”
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Application of Hybrid ARIMA and Artificial Neural Network Modelling for Electromagnetic Propagation: An Alternative to the Least Squares Method and ITU Recommendation P.1546-5 for... by Ramz L. Fraiha Lopes, Simone G. C. Fraiha, Herminio S. Gomes, Vinicius D. Lima, Gervasio P. S. Cavalcante

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Corrections to “St-Hot: A Prospect of Price Equilibrium in a Multi-Player Game for Electric Vehicle Charging Application” by Ajay Kumar Gupta, Manav R. Bhatnagar

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Enhancing Extreme Learning Machine Robustness via Residual-Variance-Aware Dynamic Weighting and Broyden–Fletcher–Goldfarb–Shanno Optimization: Application to Metro Crowd Flow Predi... by Lihui Wang, Jianguang Xie

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Application of novel oligomeric Co(II) complexes of 4,4′-bipyridine and 1,10-phenanthroline modified glassy carbon electrode for differential pulse voltammetric determination of ci... by Mezgebu Biresaw, Adane Kassa, Getinet Tamiru Tigineh, Atakilt Abebe

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Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and... by Kahina Imene Benramdane, Mohamed El Moundhir Hadji, Mohamed Khodja, Nadjib Drouiche, Bruno Grassl, Seif El Islam Lebouachera

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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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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

“…Overall, the results highlight the flexibility, efficiency, and applicability of the proposed Bayesian approach in reliability analysis.…”
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An efficient field programmable gate arrays based real‐time implementation of smooth variable structure filter to estimate the state of charge of Li‐ion battery in electric vehicle... by Sabeur Jemmali, Mahmoud Hamouda, Bilal Manaï

“…The average estimation errors of the SoC and battery voltage at different temperatures are kept within 4.95% and 2.35% respectively. …”
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