Application of improved P-BEM in time varying channel prediction in 5G high-speed mobile communication system by Hui Yuechao

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Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications by Md.Ashraful Haque, Redwan A. Ananta, Jun-Jiat Tiang, Mouaaz Nahas, Md Afzalur Rahman, Narinderjit Singh Sawaran Singh

“…Among the five ML models assessed, Gaussian Process Regression (GPR) showcases the highest accuracy, exhibiting the lowest prediction error in isolation assessments. The results obtained from CST and ADS modeling, alongside actual and expected outcomes from machine learning, indicate that the proposed antenna is a strong candidate for 5G applications.…”
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Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield by Niaz Muhammad Shahani, Muhammad Kamran, Xigui Zheng, Cancan Liu, Xiaowei Guo

“…UCS of rock has a broad range of applications in mining, geotechnical, petroleum, geomechanics, and other fields of engineering. …”
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Haar wavelet Arctic Puffin optimization method (HWAPOM): Application to logistic models with fractal-fractional Caputo-Fabrizio operator by Najeeb Alam Khan, Sahar Altaf, Nadeem Alam Khan, Muhammad Ayaz

“…The accuracy of the designed method was validated by comparing its results with those obtained using the modified Homotopy Perturbation method (MHPM). Error metrics, such as mean absolute error, maximum absolute error, and the experimental convergence rate, are calculated at various collocation points and presented in a tabular format. …”
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Mapping within‑field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application. by Luan Peroni Venancio, Fernando Coelho Eugenio, Roberto Filgueiras, Fernando França da Cunha, Robson Argolo Dos Santos, Wilian Rodrigues Ribeiro, Everardo Chartuni Mantovani

“…The ETa from EEFlux was compared to that of the modified FAO (MFAO) approach using the following statistical metrics: Willmot's index of agreement (d-index), root mean square error (RMSE), mean absolute error (MAE) and mean bias error (MBE). …”
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Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton by Feilong Zhang, Feilong Zhang, Tian Wang, Liang Zhang, Enming Shi, Enming Shi, Chengchao Wang, Chengchao Wang, Ning Li, Yu Lu, Bi Zhang

“…The controller design aims to maintain the tracking error in a predefined convergence zone described by a performance function. …”
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On the Applicability of HF and μ-PCD Methods for Determination of Carrier Recombination Lifetime in the Non-passivated Single-crystal Silicon Samples by I.М. Anfimov, S.P. Kobeleva, I.V. Schemerov, M.N. Orlova

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Identification of Intrinsic Friction and Torque Ripple for a Robotic Joint with Integrated Torque Sensors with Application to Wheel-Bearing Characterization by Sri Harsha Turlapati, Van Pho Nguyen, Juhi Gurnani, Mohammad Zaidi Bin Ariffin, Sreekanth Kana, Alvin Hong Yee Wong, Boon Siew Han, Domenico Campolo

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Design and Simulation of Single Input Double Output Coupled Inductor Boost Converter with Bisection Method for Independent Home Application by Indhana Sudiharto, Mochammad Machmud Rifadil, Muhammad Fauzi Romadhoni, Muhamad Milchan

“…The two loads were chosen because they are widely used, aligning with the goal of realizing independent home applications. The simulation test results showed that the voltage output for battery charging in constant voltage mode was 80.6 V, with an error of 0.0515%, and the voltage output for the water circulation pump was 24 V, with an error of 0.33%.…”
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The application of transfer machine learning to predict and impute missing sulphate levels in different Acid Mine Drainage treatment plants by Taskeen Hasrod, Yannick B. Nuapia, Hlanganani Tutu

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Enhancing IoT-Based Environmental Monitoring and Power Forecasting: A Comparative Analysis of AI Models for Real-Time Applications by Md Minhazur Rahman, Md Ibne Joha, Md Shahriar Nazim, Yeong Min Jang

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Designing an Optimal Model Regarding Early Warning System of Bankruptcy of Banks in Iran Application of Grounded Theory and Econometric Models by Hojjatollah Keshavarz Haddadha, Hamidreza Alipour, Sina Kheradyar

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Application of ARIMA (Autoregressive Integrated Moving Average) model to predict Rupiah selling exchange rate against US Dollar by Afif Febriawan, Fitria Virgantari, Isti Kamila, Eduard Taganap

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Application of a Bicubic Quasi-Uniform B-Spline Surface Fitting Method for Characterizing Mesoscale Eddies in the Atlantic Ocean by Chunzheng Kong, Shengyi Jiao, Xuefeng Cao, Xianqing Lv

“…The results show strong agreement with in situ measurements, yielding a mean absolute error (MAE) of 1.89 cm and a root mean square error (RMSE) of 3.02 cm. …”
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Numerical Solution of First-Order Linear Differential Equations in Fuzzy Environment by Runge-Kutta-Fehlberg Method and Its Application by Sankar Prasad Mondal, Susmita Roy, Biswajit Das

“…The method is also followed by complete error analysis. The method is illustrated by solving an example and an application.…”
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A Precise High Count-Rate FPGA Based Multi-Channel Coincidence Counting System for Quantum Photonics Applications by Ekin Arabul, Stefano Paesani, Scott Tancock, John Rarity, Naim Dahnoun

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Application of multi-layer discrete anisotropic radiative transfer model in vertical distribution inversion of maize leaf area index by DONG Zhen, YANG Guijun, SUN Lin, YANG Hao, ZHU Yaohui, LEI Lei, CHEN Riqiang, ZHANG Chengjian, LIU Miao

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Applications of optical frequency-domain reflectometry technology in strain-deformed configuration conversion of structural surface deformed configuration measurement by Zhenglin Zhang, Yangyang Sun, Qinghua Zhang, Jianli Duan, Lei Gao

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Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application by Chisom Onyenagubo, Yasser Ismail, Radian Belu, Fred Lacy

“…The work creates a scalable and web-based application for RUL prediction by utilizing predictive models like Long Short-Term Memory (LSTM), Linear Regression (LR), Artificial Neural Network (ANN), and Random Forest with Extra Trees Regressor (RF with ETR) with results in Mean Square Error (MSE) as accuracy as 96%, 97%, 98% and 99% respectively. …”
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Application of the Montgomery Equation in Morphometric Analysis of Tepals: A Case Study of <i>Liriodendron</i> × <i>sinoamericanum</i> by Zhuyue Shi, Jinfeng Wang, Guohong Sun, Wenjing Yao, Peijian Shi, Honghua Ruan

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