Comparing the Ranking of Cobalt Coating Microstructures, Produced by Direct Current through Experimental Studies and the Analytic Hierarchy Process by H. Shirdastian, N. Towhidi, S.R. Allahkaram, M. Siadat Cheraghi

“…In recent years, cobalt has been known as an alternative coating material to chromium in corrosion and erosion resistant applications. Extensive research has been carried out on a variety of electroplated cobalt coatings. …”
Get full text

Optimized Adaptive Fuzzy Synergetic Controller for Suspended Cable-Driven Parallel Robots by Yasser Hatim Alwan, Ahmed A. Oglah, Muayad Sadik Croock

Get full text

Machine learning in dentistry: a scoping review. by Shrey Lakhotia, Hormazd Godrej, Amandeep Kaur, Chaitanya Sai Nutakki, Michelle Mun, Pascal Eber, Leo Anthony Celi

“…ML could transform dental care, but robust calibration assessment and equity evaluation are critical for real-world adoption. Future research should prioritize error explainability, outlier reporting, reproducibility, fairness, and prospective validation.…”
Get full text

Wavelet Estimation of Partial Derivatives in Multivariate Regression Under Discrete-Time Stationary Ergodic Processes by Sultana Didi, Salim Bouzebda

Get full text

Sensor placement optimization for critical-grid coverage problem of indoor positioning by Hui Wu, Zhe Liu, Jin Hu, Weifeng Yin

Get full text

Structural Behaviour of Concrete Deep Beams Reinforced with Aluminium Alloy Bars by Kagan Sogut

“…The design formulations gave accurate predictions with an error of 3%.…”
Get full text

Factors that influence the calculation of acoustic scattering by the method of source simulation by P.H. T. ZANNIN

Get full text

OUTPUT VISUALIZATION FROM RESULT OF DISCRETE EVENT SYSTEM SIMULATION WITH ‘simmer’ R PACKAGE by I Gusti Agung Anom Yudistira, Rinda Nariswari, Samsul Arifin

“…The method used in this research is the literature study with descriptive and exploratory approaches. …”
Get full text

Study on the electrocatalytic CO2 reduction performance of covalent organic framework materials based on machine learning by Zhang Xiangying, Wang Sitan

“…By evaluating the fitting coefficient, mean absolute error and the fitting effect of the test set, the extreme gradient boosting (XGB) model has the best performance. …”
Get full text

Model for the Assessment of Seawater Environmental Quality Based on Multiobjective Variable Fuzzy Set Theory by Lina Ke, Huicheng Zhou

“…Through the quantitative research of water-quality data from 2004 to 2008, the model is more reliable than other traditional methods, in which uncertainty and ambiguity of the seawater quality evaluation are considered, and trade the stable results as the final results of seawater quality evaluation, which effectively solved the impact of the fuzzy boundary of evaluation standard and monitoring error, is more suitable for evaluation of a multi-index, multilevel, and nonlinear marine environment system and has been proved to be an effective tool for seawater quality evaluation.…”
Get full text

Discrete Unilateral Constrained Extended Kalman Filter in an Embedded System by Leonardo Herrera, Rodrigo Méndez-Ramírez

Get full text

Determination of the Shortest Hamiltonian Paths in an Arbitrary Graph of Distributed Databases by E. G. Andrianova, V. K. Raev, D. I. Filgus

“…The effectiveness of the task solution was evaluated using a systems approach, system analysis and the theory of operations research. Processing of experimental data obtained during the work was carried out in accordance with the provisions of mathematical statistics.…”
Get full text

Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“… The main objective of this work is to estimate the scale parameter of the Poisson Lindley distribution by means of multiple approaches, such as Poisson Linear Quantile-Moment and Maximum Likelihood. Based on mean square error criteria(MSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC), Linear Quantile-Moment is the most efficient estimator among these techniques. …”
Get full text

Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…SVM proved more effective in identifying both classes with minimal error, particularly when combined with oversampling. …”
Get full text

Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…Two models are proposed to address the research problem: (a) a basic TCN without parameter optimization and (b) a hybrid model integrating TCN with ALO. …”
Get full text

An accurate approximation technique based on Schröder operational matrices for numerical treatments of time-fractional nonlinear generalized Kawahara equation by Hany M. Ahmed, Mohammad Izadi

“…The proposed approach’s convergence and error analysis are provided. We show three numerical test cases to illustrate the accuracy and usefulness of our methodology. …”
Get full text

Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…Abstract This research introduces a novel quantum-enhanced intelligent system tailored for personalized adaptive radiotherapy dose estimation. …”
Get full text

Adaptive Event-Triggered Predictive Control for Agile Motion of Underwater Vehicles by Bo Wang, Junchao Peng, Jing Zhou, Liming Zhao

“…As the demand for underwater robots in complex environments continues to grow, research on their agile motion capabilities becomes increasingly crucial. …”
Get full text

Analytical and Numerical Solutions of Pollution Concentration with Uniformly and Exponentially Increasing Forms of Sources by N. Manitcharoen, B. Pimpunchat

“…Solutions are compared by relative error values. The result appears acceptable between the analytical and numerical solutions. …”
Get full text

Integrated Intelligent System for Rail Flaw Detection Vehicle by Xiangyang ZHANG, Jiangping LUO

“…In order to improve the detection ability of rail surface and near surface damage, the research on rail surface image detection technology was carried out. …”
Get full text