Buscar recursos académicos

Abstract Unmanned aerial vehicles, particularly quadrotors, present significant control challenges due to their nonlinear, underactuated, and coupled dynamics. This paper presents a comprehensive modeling approach for a ...

Due to its complexity, corruption tolerance among public servants has predominantly been investigated through qualitative rather than quantitative research. Accordingly, this article examines tolerance of public corrupti...

Abstract Precise control of electrical properties in conductive micro-structures is essential for the performance and reliability of micro-electro-mechanical systems (MEMS). However, the nature of anisotropic physical va...

This article presents the design and simulation-based evaluation of a 225 kW grid-interactive bidirectional fast DC charger for electric vehicles operating in both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) modes. T...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...

CO₂ emissions are a critical environmental concern driving global climate change, particularly the rise in Earth's average temperatures. Therefore, reducing CO₂ release into the atmosphere is essential. One promising...

Abstract This study develops and analyzes a Caputo fractional-order SEIHRD model to investigate the transmission dynamics and control of Ebola virus disease. The model ensures positivity, boundedness, and invariance of f...

Abstract High-electron-mobility transistors (HEMTs) based on wide bandgap (WBG) materials like gallium nitride (GaN) are vital for next-generation power electronics and high-frequency applications, offering high breakdow...

Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...

Regenerative bicycle trainers support more sustainable indoor cycling by converting a rider’s kinetic energy into electrical energy while producing a controllable resistive load. For a realistic riding feel, the relati...

The EU's Chemicals Strategy for Sustainability aims to incorporate environmental risk of combined exposure, stemming from unintentional chemical mixtures in the environment, into regulatory risk assessments. Within the E...

We reassess the capacity for multimessenger inference of AT2017gfo/GW170817 using both kilonova and gravitational wave emission within the context of a recent simulation-based surrogate model for kilonova emission. Indep...

Abstract Given the escalating challenges of water scarcity and climate change, enhancing water productivity is crucial for achieving water security, particularly in arid regions with finite water resources. This study as...

Underwater radiated noise (URN) from submarine propulsors requires reliable flow prediction as a prerequisite for cavitation and acoustic analyses. This study validates a computational fluid dynamics (CFD) workflow to pr...

Drug-induced cardiac arrhythmias are central to physiology and pharmacology education, yet students often struggle to connect electrophysiological mechanisms with dynamic electrocardiographic (ECG) changes. We developed ...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

Abstract The multicomponent thermal fluid (MTF) process is a pivotal technology for enhancing heavy oil recovery. However, its injection often triggers particle migration and deposition within reservoirs, leading to perm...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

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...

Recent years have seen many arguments for cosmic rays (CRs) as an important influence on galactic and circumgalactic (CGM) physics, star and galaxy formation. We present a pedagogical overview of state-of-the-art modelin...

Sailing yachts can achieve operationally zero-emission propulsion by integrating solar photovoltaic (PV), wind and hydrokinetic generation with battery-electric drive systems. This study applies a systems engineering mod...

Modeling data that falls within the [0,1] domain is a huge task in most scientific disciplines. This is because most classical distributions do not address the issues of complex data shapes as well as managing the dynami...