Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks by Shoorangiz Shams Shamsabad Farahani, Mohammad Mahdi Arefi, Amir Hossein Zaeri

“…In addition, Radial Basis Function Neural Network (RBFNN) has been used for filtering. …”
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The Generalized Green’s Function for Boundary Value Problem of Second Order Difference Equation by Xiaoling Han, Juanjuan Huang

“…In this paper, by building the generalized Green’s function for the problems, we study the solvability of the S-L problem Lx=Δ[p(t-1)Δx(t-1)]+[q(t)+λr(t)]x(t)=-f(t), U1(x)=α1x(a)+α2Δx(a)=0, U2(x)=β1x(b+1)+β2Δx(b+1)=0, and the periodic S-L problem Lx=Δ[p(t-1)Δx(t-1)]+[q(t)+λr(t)]x(t)=-f(t), U3(x)=x(a)-x(b+1)=0, U4(x)=Δx(a)-Δx(b+1)=0, where the parameter λ is an eigenvalue of the linear problem Lx=0, U1(x)=0, U2(x)=0 or the problem Lx=0, U3(x)=0, U4(x)=0, and p:[a,b+1]→(0,+∞),r:[a+1,b+1]→(0,+∞), q(t) is defined and real valued on [a+1,b+1], α12+α22≠0,β12+β22≠0, and in the periodic S-L problem we have p(a)=p(b+1).…”
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An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

“…Metaheuristics have become indispensable tools in both academia and industry, helping researchers and practitioners address real-world problems efficiently and effectively. …”
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A New Robust Algorithm for Fault-Plane Parameters Identification: The 2009 L’Aquila (Central Italy) Seismic Sequence Case by Annarita Mangiacapra, Zaccaria Petrillo, Sergio Scippacercola, Luisa Valoroso, Rosa Nappi, Giuliana Alessio, Simona Tripaldi

“…With this volume is associated a hypocenter occurrence density angular diagram and a likelihood function. The likelihood function is useful to individuate the best value of the fault thickness and to test the hypothesis of fault flatness. …”
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Dielectric function and the absorption cross-section of the metal-graphene nanocylinders of the finite length by Ya. V. Karandas, A. V. Korotun

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Three-dimensional visualization of maize roots based on magnetic resonance imaging by Fang Xiaorong, Wang Nanfei, Zhang Jianfeng, Gong Xiangyang, Liu Fei, He Yong

“…Therefore, quantitative analysis of root architecture parameters, or the spatial configuration and distribution of root system in soil, will help to promote our understanding for root structure, function and their interactions with the soil in rhizosphere zone. …”
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Broadening the lens: A review of multi-object tracking task and its use in cognitive training by Pech Marion, Adolphe Maxime, Oudeyer Pierre-Yves, Sauzéon Hélène

“…This narrative review synthesizes existing research on how adjustable MOT parameters, such as target number, object speed, tracking duration, and perceptual features, influence performance and transfer outcomes across populations.This narrative review aims to (1) identify the cognitive functions engaged by various MOT parameters, (2) determine which adaptations lead to performance gains, and (3) assess how MOT improvements translate into near and far transfer effects, with a focus on real-world applications.MOT involves divided and sustained attention, foveal and peripheral vision, and inhibitory control, interacting with working memory and executive functions, which encompass high-level cognitive processes such as planning, inhibition, and cognitive flexibility. …”
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Near-infrared spectrometry for rapid and real-time prediction of specific quality attributes in intact cactus pear fruits (Opuntia ficus-indica L.) by Willis O. Owino, Daisy Lanoi, Daisy Lanoi, Samuel Imathiu, Peter Kahenya, Winnie A. Nyonje, Dennis Yegon, Dennis Yegon

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Estimation of Some Lifetime Parameters of Flexible Reduced Logarithmic-Inverse Lomax Distribution under Progressive Type-II Censored Data by M. Mustafa Buzaridah, Dina A. Ramadan, B.S. El-Desouky

“…The Gibbs within Metropolis-Hasting sampler procedure is applied using the Markov Chain Monte Carlo (MCMC) technique to get the Bayes estimates of the unknown parameters and their credible intervals (CRIs). Finally, a real-life dataset that represents a group of patients with bladder cancer is considered an application of the proposed methods.…”
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Bayesian parameter estimation and failure time prediction under double Type-II hybrid censoring for the generalized inverse exponential distribution by Shi Wei, Guoyuan He, Dalong Mo

“…We derive maximum likelihood estimates for parameters and compute Bayesian estimates and E-Bayesian estimates under four loss functions (symmetric and asymmetric). …”
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Lumped parameter modeling and experimental characterization of pressure effects in a roller-type peristaltic pump with neoprene tubing for dialysis machines. by Carlo Carotenuto, Federico Ferrari, Stefano Salerno, Federico Bernabei, Wassim Lababidi, Luca Montorsi, Massimo Milani

“…At the core of these machines are volumetric pumps, with peristaltic pumps being particularly essential for their high precision and gentle handling of sterile fluids such as blood.This study focuses on the experimental characterization of a four-roller peristaltic pump with a neoprene tube, analyzing its volumetric efficiency under varying suction (Pin) and discharge (Pout) pressures, motor speeds (rpm), and at a constant temperature (35 °C). A lumped-parameter model was subsequently developed to replicate the pump's real behavior using Siemens’ Amesim software.The pump was modeled with four isolated pumping volumes, assuming complete occlusion of the tube by the rollers. …”
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ESTIMATING THE LEVEL OF TROPOSPHERIC ABSORPTION AT MICROWAVE FREQUENCIES AND OPERATIONAL PARAMETERS OF PERTINENT AERONOMIC AND RADIO ASTRONOMICAL INSTRUMENTS IN THE "MAXIMUM CONFID... by V. V. Myshenko, O. M. Korolev, Yu. V. Karelin, A. V. Antyufeyev, D. L. Chechotkin, D. V. Shulga, O. G. Turutanov, A. A. Poladich

“…In contrast to the widely used dual-parameter least squares method, we propose to vary one of the parameters, while determining its most probable value as such corresponding to minimal mean square deviations as functions of the parameter’s value. …”
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Identification of influential factors affecting student performance in semester examinations in the educational institution using score topological indices in Single Valued Neutros... by S. Narasimman, M. Shanmugapriya, R. Sundareswaran, Laxmi Rathour, Lakshmi Narayan Mishra, Vinita Dewangan, Vishnu Narayan Mishra

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A Skew Product Distribution with Applications by Mohammad Shakil, Tassaddaq Hussain, Zahid Ur Rehman, Aneeqa Khadim, Musaddiq Sirajo, J. N. Singh, Mohammad Ahsanullah, B. M. G. Kibria

“…Some characterizations, estimation of parameters, and simulation are presented. Also, d two real-life environmental data applications are provided. …”
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A new score function for optimizing transportation problems in complex Pythagorean fuzzy environment by Rajkumar Verma, Anushri Verma, Pranav Dass, Chaubey Vishal

“…The complex nature of real-world situations requires the utilization of advanced mathematical models and optimization approaches to formulate effective solutions. …”
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Comparison Some Methods To Estimate Reliability Function of Transmuted Inverted Topp-Leone distribution by Raissan A. Zalan

“…   It is clear that studying lifetime distributions which are related to the survival function or reliability data, is an important matter in our lives, because these distributions are important in many areas in real life, for example, survival data analysis. …”
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Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…By comparing our approach to other state-of-the-art methods on toy and real world scenarios, we demonstrate that Neon achieves state-of-the-art performance while requiring orders of magnitude less trainable parameters.…”
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Innovative Grouting Process Monitoring: Design and Implementation of a Measurement Device With Datalogger Function by Gabriel Gaspar, Roman Budjac, Stefan Sedivy, Maximilian Stremy, Denis Benka, Eduard Nemlaha, Rastislav Elias

“…The device underwent rigorous testing under laboratory conditions to ensure its functionality and reliability, and thus significantly contributes to the control and responsiveness of the grouting process by providing real-time data on critical operational parameters. …”
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Investigating the Hyers–Ulam Stability of the Generalized Drygas Functional Equation: New Results and Methods by Gang Lyu, Yang Liu, Yuanfeng Jin, Yingxiu Jiang

“…In this paper, we explore the Hyers–Ulam stability of a generalized Drygas functional equation, which extends the classical Drygas equation by incorporating additional parameters and conditions. …”
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Predictive Functional Control-Based Zenith Pass Controller Design for Roll-Pitch Seeker by Xinchun Wang, Bo Mo, Xuan Li, Shangen Su

“…And with the singularity predictions as set points, a predictive functional controller is then designed for the OG position control to minimize the tracking error. …”
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