20 papers · ranked by Valyu relevance
Tomohiro Okuyama, Haruya Sugimura, Gabriel Alcade, Seiya Ageishi + 7 more
Time-of-flight (ToF) image sensors must operate across a wide span of reflected-light intensities, from weak diffuse reflections to extremely strong retroreflections. We present a signal-intensity range-extension technique that linearizes the linear-logarithmic (Lin-Log) pixel response for short-pulse multi-tap…
Batoul M. Raddad, Ahmad Y. Al-Dweik, Marwan Aloqeili, F. M. Mahomed
Cartan's method classifies the class of linearizable system of two second-order ODEs into many branches. This paper investigates Branch I of the classification, characterized by a rank-one generalized Wilczynski invariant matrix and the vanishing of two relative invariants $K_1$ and $L_1$. It is demonstrated that any…
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.…
Oleg Stepanov, Alexey Isaev, Elena Dranitsyna, Yulia Litvinenko
A class of nonlinear filtering problems connected with data fusion from various navigation sensors and a navigation system is considered. A special feature of these problems is that the posterior probability density function (PDF) of the state vector being estimated changes its character from multi-extremal to…
Amany Tarek, Hamdy M. Ahmed, Niveen Badra, Islam Samir
This study investigates solitary wave solutions of the three-dimensional, time-dependent nonlinear Schrödinger equation with cubic-quintic effects and a generalized Kudryashov-type self-phase modulation term. By applying the improved modified extended tanh function method, it obtains a broad spectrum of analytic…
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…
Sitanshu Gakkhar, Ala Shayeghi, David C. Del Rey Fernández
We treat the convergence of Carleman linearization of nonlinear evolutionary equations through the approximation theory of strongly continuous semigroups, by Carleman embedding the underlying nonlinear semigroups as linear semigroups. Linear semigroup theory then lets one replace the norm constraint on the convergence…
Authors not listed
Temperature-programmed measurements such as thermogravimetry (TG) are routinely interpreted with Coasts-Redfern (CR) or isoconversional methods. Classical CR provides model-dependent activation energies (Ea) and pre-exponential factors (A) from a single heating ramp but relies on a global straight-line fit of…
Nikos I. Kavallaris, Farrukh Javed
We introduce a mechanistic, nonlocal tumour-growth model designed specifically to capture explosive dynamics that are not adequately explained by standard logistic reaction–diffusion descriptions. The motivation is empirical: the universal scaling law reported in [1] provides compelling cross-sectional evidence of…
Miroslav Krstic
Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the plant into a canonical form, bring all the non-canonical effects within the "span" of (boundary) control, and close the…
Wang, Jingyuan, Ji, Jiahao
This article serves as the regression analysis lecture notes in the Intelligent Computing course cluster (including the courses of Artificial Intelligence, Data Mining, Machine Learning, and Pattern Recognition) at the School of Computer Science and Engineering, Beihang University. It aims to provide students – who are…
Nicolas Chevallier, João Lopes Dias, José Pedro Gaivão, Antoine Marnat + 1 more
We consider the classical analytic linearization problem for vector fields on the torus $\mathbb{T}^d$ close to a constant vector field $ω$. Our goals are twofold. First, we provide a geometric framework in which the arithmetic condition governing analytic linearization arises naturally from the orbit of a unimodular…
Giulia Scalisi, Aboud Sakkal, Laurie Lacombe, Francesco Sarnari + 16 more
Ex vivo genome editing of human hematopoietic stem and progenitor cells (HSPCs) requires targeted integration strategies that support large therapeutic DNA payloads while preserving stem cell fitness. Although CRISPR/Cas9-mediated homology-directed repair using AAV donors is effective, it is constrained by limited…
David Gordillo-Alaniz, Eugenio Azpeitia
Understanding how signaling pathways reliably transmit information is fundamental to explaining cellular decision-making. Several studies have suggested that Dose–Response Alignment (DoRA) —the overlapping of dose–response curves between receptor occupancy and downstream responses— enhances information transmission by…
L. Fekésházy, A. Kardos
We present LinApart3, an efficient multivariate partial fraction decomposition algorithm for rational functions with linear denominators. Our decomposition algorithm guarantees that each term contains at most as many distinct denominators from the original set as partial fraction variables, introduces no spurious…
Authors not listed
Bonkowski and De Souza [Sol. Stat. Ionics 429, 116967 (2025)] provide a guide for performing molecular dynamics simulations of ion transport, including methods for estimating diffusion coefficients and their uncertainties from mean-squared displacement (MSD) data. The discussion of uncertainty in estimated diffusion…
Alejandro Pascual Valdunciel, Javier Yanguas Mayo, Emanuele Abbagnano, Natalia Torres Cónsul + 4 more
Spinal motoneuron (MN) pools behave as linear systems that transmit common synaptic input to muscles. However, MNs are biophysically heterogeneous and intrinsically nonlinear. How different MN subpopulations integrate and transmit high-frequency inputs remains poorly understood, partly because conventional analyses…
Authors not listed
This work presents the implementation of the linear response function for 1D periodic systems at coupled cluster with single and double excitations with periodic boundary conditions level (LR-CCSD-PBC) for the calculation of the frequency-dependent electric dipole-electric dipole polarizability tensor…
Authors not listed
Environmental damping in molecular spectroscopy is commonly treated as a phenomenological source of decoherence and spectral broadening, leading to a monotonic reduction of spectral intensity. Here we show that this assumption is not generally valid. Using a vibronically resolved response-function framework, we…
Authors not listed
The GENERIC framework provides a robust structure for nonequilibrium dynamics but lacks a principled method to select reversible ($L$) and irreversible ($M$) brackets. Similarly, finite-time optimizations minimizing path-averaged reciprocal temperature exist but remain isolated. Here, we introduce the \textbf{Entropy…