14 papers · ranked by Valyu relevance
Wen-Hao Zhang, Lin Dai, Wang Chen, Anyu Sun + 3 more
'Bing-Feng Ju' 'Michele Norgia'] A noise-resistant linearization model that reveals the true nonlinearity of the sensor is essential for retrieving accurate physical displacement from the signals captured by sensing electronics. In this paper, we propose a novel information-driven smoothing spline linearization method…
C. F. Ciușdel, S. Coman, Cr. Boldișor, T. Kessler + 5 more
'A. Kovachev' 'H. Lehrach' 'C. Wierling' 'L. M. Itu'] A nonlinear model consisting of a system of coupled ordinary differential equations (ODE), describing a biological process linked with cancer development, is linearized using Taylor series and tested against different magnitudes of input perturbations, in order to…
Takaki Akiba, Youhi Morii, Kaoru Maruta
The Harrow, Hassidim, Lloyd (HHL) algorithm, known as the pioneering algorithm for solving linear equations in quantum computers, is expected to accelerate solving large-scale linear ordinary differential equations (ODEs). To efficiently combine classical and quantum computers for high-cost chemical problems…
Sepideh Sharif, Chihiro Hasegawa, Stephen B. Duffull
Nonlinear ordinary differential equations (ODEs) are common in pharmacokinetic-pharmacodynamic systems. Although their exact solutions cannot generally be determined via algebraic methods, their rapid and accurate solutions are desirable. Thus, numerical methods have a critical role. Inductive Linearization was…
Jelena Jovanović, Filippo Attivissimo
This paper proposes a compact two-stage analog-to-digital converter (ADC), leveraging a nonuniform flash ADC to address sensor linearization challenges. The proposed approach reduces circuit complexity in conventional two-stage linearizing ADCs while preserving overall resolution and effective nonlinearity reduction.…
Alexander Krasavin, Gaukhar Nazenova, Adema Dairbekova, Albina Kadyroldina + 3 more
This article investigates the trajectory tracking control of a differential-drive two-wheeled mobile robot (DDWMR) using its kinematic model, framed in the context of sustainability. A nonlinear-to-linear transformation based on differential flatness is employed to convert the original nonlinear system into two fully…
Abdul Salam Abd, Ali Asif, Ahmad Abushaikha
Reservoir simulation is crucial for understanding the flow response in underground reservoirs, and it significantly helps reduce uncertainties in geological characterization and optimize methodologies for field development strategies. However, providing efficient and accurate solutions for the strong heterogeneity…
Mohamed Amine Fnaiech, Hazem Nounou, Mohamed Nounou, Aniruddha Datta
The problems of modeling and intervention of biological phenomena have captured the interest of many researchers in the past few decades. The aim of the therapeutic intervention strategies is to move an undesirable state of a diseased network towards a more desirable one. Such an objective can be achieved by the…
D. J. Ewins, B. Weekes, A. delli Carri
Model validation using data from modal tests is now widely practiced in many industries for advanced structural dynamic design analysis, especially where structural integrity is a primary requirement. These industries tend to demand highly efficient designs for their critical structures which, as a result, are…
Łukasz Komsta, Katarzyna Wicha-Komsta, Tomasz Kocki, Joaquim Jaumot + 2 more
'Michal Daszykowski' 'Hadi Parastar'] This is an introductory tutorial and review about the uncertainty problem in chromatographic calibration. It emphasizes some unobvious, but important details influencing errors in the calibration curve estimation, uncertainty in prediction, as well as the connections and…
Francisco J Diaz, Hung-Wen Yeh, Jose de Leon
Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in…
Zakaria Kasmi, Abdelmoumen Norrdine, Jochen Schiller, Mesut Güneş + 2 more
'Christoph Motzko' 'Raffaele Bruno'] We developped an open source library called RcdMathLib for solving multivariate linear and nonlinear systems. RcdMathLib supports on-the-fly computing on low-cost and resource-constrained devices, e.g., microcontrollers. The decentralized processing is a step towards ubiquitous…
Carla White, Vivi Rottschäfer, Lloyd Bridge
Quantification of drug-cell interactions and subsequent cellular responses by using experimental data together with mathematical models of assumed binding and signalling schematics is vital to many research programmes; data fitting provides estimates for important pharmacological parameters including kinetic parameters…
Yanfei Lu, Shiqing Zhang, Futian Weng, Hongli Sun
In this study, we investigate a new neural network method to solve Volterra and Fredholm integral equations based on the sine-cosine basis function and extreme learning machine (ELM) algorithm. Considering the ELM algorithm, sine-cosine basis functions, and several classes of integral equations, the improved model is…