Buscar recursos académicos

This paper investigates the distributed state estimation problem for a class of continuous-time nonlinear systems over sensor networks. The nonlinearities considered are assumed to satisfy the Incremental Quadratic Const...

This paper presents a linear antenna array design employing the Dolph-Chebyshev method to achieve high gain while effectively minimizing side-lobe levels for IoT applications. The proposed approach strikes a balance betw...

Abstract This paper investigates the initial-boundary value problem for quasilinear strictly hyperbolic systems of diagonal form with characteristics which are partially linearly degenerate and partially weakly linearly ...

Abstract In this study, a range of novel optical soliton solutions to the nonlinear conformable Schrödinger equation influenced by multiplicative white noise is presented. By employing the unified method, several types ...

ABSTRACT Oscillatory dynamics play a central role in the description of a broad spectrum of physical systems. While often well‐approximated by linear models, the essential long‐term evolution and stability of these s...

Prediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the causal parents of a target variable of inte...

Ants are essential components of ecosystems, playing critical roles in nutrient cycling, pest control, and soil health. Agricultural practices significantly influence ant biodiversity, yet studies on this subject remain ...

Background and Purpose: Craniospinal irradiation (CSI) is a critical treatment modality for central nervous system (CNS) tumors. This study aimed to compare the dose-volume parameters and treatment efficiency between O-r...

In the transition to a circular economy there is a need to advance the understanding of how consumer acceptance of circular product-service systems (PSS) can be fostered, since the lack thereof inhibits their adoption an...

Introduction. In recent days, electric vehicles, robotics and in many control system applications, permanent magnet synchronous motors (PMSMs) are widely utilized. Problem. Due to non-linear behavior of system, external ...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

Introduction. The stability of grid-connected inverters is critical for the integration of renewable energy into modern power systems. However, this stability is significantly challenged under weak grid conditions, chara...

Abstract This paper investigates a massive MIMO–NOMA system in which the base station (BS) employs a large antenna array with low-resolution (1–2-bit) spatial Sigma–Delta (ΣΔ) ADCs to shape and suppress quantizat...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Reliable low-latency delivery over satellite downlinks remains fundamentally constrained by long propagation delays, burst-correlated packet loss, and the limited effectiveness of retransmission-based recovery. Although ...

Context. Astronomical environments are governed by a complex interplay of physical processes, including gravitational dynamics, radiative transfer, stellar evolution, chemistry, and hydrodynamics. These processes span a ...

The purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

Urban air pollution from traffic emissions poses a significant risk to students residing in student communal housing (SCH) near major roadways. This study investigates the impact of peak hour traffic on ambient air quali...

Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most eco...

Drought is a slow-onset natural disaster that has far-reaching effects on agriculture, water security, and socio-economic systems, especially in climate-vulnerable countries such as Malaysia. It is imperative to predict ...

Abstract The rapid growth of the ageing population in medium-sized cities presents increasing challenges for the provision of inclusive public transport systems. This study examines the accessibility and service quality ...

This paper analyzes methodological approaches for creating an info-technological platform for “digital portraits” of complex socioeconomic systems using the example of regional systems in Russia, as a necessary eleme...