Results 61 to 70 of about 22,081,541 (270)
Advanced Intelligent Systems, EarlyView.A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Numerical robustness of COVID-19 model with Lyapunov stability analysis
Scientific ReportsIn this research, a three-dimensional non-linear dynamical behavior of the COVID-19 pandemic model is described using fractional calculus. This model was presented by using the Caputo operators.
Ambika Pandey, Surath Ghosh
doaj +1 more source
Basin of Attraction Analysis of New Memristor-Based Fractional-Order Chaotic System
Complexity, 2021 Memristor is the fourth basic electronic element discovered in addition to resistor, capacitor, and inductor. It is a nonlinear gadget with memory features which can be used for realizing chaotic, memory, neural network, and other similar circuits and ...
Long Ding, Li Cui, Fei Yu, Jie Jin
doaj +1 more source
Analysis of Human Standing Balance by Largest Lyapunov Exponent [PDF]
Computational Intelligence and Neuroscience, 2015 The purpose of this research is to analyse the relationship between nonlinear dynamic character and individuals’ standing balance by the largest Lyapunov exponent, which is regarded as a metric for assessing standing balance. According to previous study, the largest Lyapunov exponent from centre of pressure time series could not well quantify the human
Kun Liu +3 more
openaire +2 more sources
The problem of the inverse Lyapunov exponent and its applications [PDF]
, 2018 The problem of the inverse Lyapunov exponent was formulated and solved, involving to find such chaotic transformation for which the value of the Lyapunov exponent is given in advance.
Lawnik, Marcin
core +1 more source
Proto‐Panic Modulation by Caffeine‐Proteinoid Complexes
Journal of Applied Polymer Science, EarlyView.Caffeine–proteinoid microspheres synthesized by thermal polymerization exhibit compartmentalized drug loading with encapsulation efficiencies of 61%–82% and triphasic release kinetics. Electrochemical monitoring reveals multi‐scale oscillatory dynamics consistent with chaotic and damped harmonic behavior, while Boolean logic operations demonstrate ...
Panagiotis Mougkogiannis +1 more
wiley +1 more source
Covariant Lyapunov analysis of chaotic Kolmogorov flows
Physical Review E, 2012 Hyperbolicity is an important concept in dynamical system theory; however, we know little about the hyperbolicity of concrete physical systems including fluid motions governed by the Navier-Stokes equations. Here, we study numerically the hyperbolicity of the Navier-Stokes equation on a two-dimensional torus (Kolmogorov flows) using the method of ...
Inubushi, Masanobu +3 more
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Chronotopic Lyapunov analysis: II. Toward a unified approach [PDF]
Journal of Statistical Physics, 1997 From the analyticity properties of the equation governing infinitesimal perturbations, it is shown that all stability properties of spatially extended 1D systems can be derived from a single function that we call entropy potential since it gives directly the Kolmogorov-Sinai entropy density.
Lepri, Stefano +2 more
openaire +2 more sources