Buscar recursos académicos

Heterogeneous SoCs enhance system performance across various applications. However, managing and integrating components, interfacing hardware and software, and overseeing shared resources pose significant challenges for ...

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 ...

High-end magnetron sputtering targets serve as the core foundational materials for fabricating critical functional films used in integrated circuits and flat panel displays. China currently faces a high external dependen...

Carbon capture, utilization, and storage (CCUS) technology is an essential component of China's strategy to achieve carbon neutrality. It represents the necessary pathway for near-zero emissions from fossil fuels and pro...

Redox flow batteries, as a key long-duration energy storage technology underpinning new power systems, have become a strategic focus in global energy transition. Their industrialization process is highly dependent on per...

The aim of this study is the early detection of developing insulation defects in high-voltage oil-filled bushings based on the analysis of the temporal behavior of diagnostic indicators rather than only their comparison ...

Thermoplastic polymers have emerged as compelling alternatives to conventional thermosets in response to increasing environmental concerns, primarily due to their superior recyclability and enhanced sustainability charac...

In this study, we explore methods for minimizing labeling costs, which is a critical issue in the active learning process. We focus on efficiently selecting the most essential datasets from an entire pool of unlabeled da...

Use cases for emerging quantum computing platforms become economically relevant as the efficiency of processing and availability of quantum computers increase. We assess the performance of Restricted Boltzmann Machines (...

Abstract This manuscript presents the feasibility of designing a digital Lock-In Amplifier (LIA) for measuring experimental sys-tems through optical measurement techniques, from 32-bit micro-controller platforms, derived...

The integration of humans with computers is advancing biometric systems, particularly in utilizing DNA biometrics for human verification and identification, especially in forensic contexts. DNA analysis has significantly...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...

Introduction. The performance reliability of electric vehicles (EVs) is an important factor in evaluating their suitability for widespread adoption. The reliability and lifespan of an EV depend on several critical factor...

The objective of this study is to enhance the energy efficiency and environmental safety of boiler plants and engines equipped with waste heat recovery boilers. This objective is achieved by utilizing water-fuel emulsion...

Abstract The precise forecasting of the Remaining Useful Life (RUL, expressed in hours) of aircraft engine-like systems using a synthetic dataset designed to mimic real engine degradation patterns is a key factor in sett...

Smart environments play a crucial role in achieving sustainable development goals, particularly those related to environmental protection and public health. In recent years, environmental degradation caused by air and wa...

Question-answering (QA) has been a crucial NLP (Natural Language Processing) task for a long time. As an umbrella term, QA has multiple sub-tasks under its hood. Question classification (QC) is one of the most important ...

Sign Language Translation (SLT) is fundamentally a process of intersemiotic translation, involving the transfer of meaning between visual-gestural and spoken language systems. However, most existing SLT studies focus on ...

Understanding of thermodynamic variables in any binary liquid system is crucial for the development of industrial products. Among the various thermodynamic parameters, density (ρ), viscosity (η), surface tension (γ), ...

Abstract This research proposes an innovative Arabic financial forecasting model that integrates linguistic relation extraction with advanced deep learning and machine learning techniques. The framework combines Arabic O...

Tartaric acid (TA), a valuable organic acid with widespread applications in food, pharmaceutical, and chemical industries, is predominantly found in grapes and winery by-products. This study investigates the physical ext...

Cardiovascular diseases remain the leading cause of mortality worldwide, making accurate and efficient imaging-based diagnosis indispensable. Modern modalities such as Coronary Computed Tomography Angiography, Cardiac Ma...