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High-quality, openly accessible clinical datasets remain a significant bottleneck in advancing both research and clinical applications within medical artificial intelligence. Case reports, often rich in multimodal clinic...

Forecasting vaccine demand and determining inventory policies are critical challenges in healthcare supply chains, where uncertainty poses significant operational risks. This study proposes a two-step data-driven framewo...

Introduction. Stator flow-oriented control is currently the most widely used system in industry or in previous research for improving the quality of mechanical power generated by permanent magnet synchronous motors (PMSM...

ARM-based systems are widely deployed in edge and IoT settings, where penetration-testing tools must operate under strict memory, power, and thermal constraints, yet prior work offers limited deployment-oriented guidance...

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...

Abstract In an elastic network paradigm, where the transceiver is able to control several characteristics of the transmitted signal according to the optical link quality and capacity demand, receivers able to automatical...

Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...

Dual-drive feed systems are widely adopted in high-end CNC machines because of their high precision, rigidity, and operational stability. Vibration suppression during machining is critical to maintaining feed accuracy an...

Introduction. Nowadays, the most widely used wind energy conversion system in wind farms is based on a doubly fed induction generator (DFIG); it has a large speed range and can function in multiple modes. Problem. Harmon...

Botnet communications often rely on Domain Generation Algorithms (DGAs) to establish channels among attack orchestrators and compromised hosts (bots). Our approach leverages on Artificial Intelligence (AI) to differentia...

The growing demand for intensive artificial intelligence applications, such as deep neural networks and Large Language Models (LLMs), has driven the creation of architecture extensions and accelerators for matrix multipl...

Metamaterial based approaches have emerged as promising solutions for mitigating mutual coupling in compact multiple input multiple output antenna systems operating at fifth generation sub-6 GHz frequencies for smartphon...

Currently, numerous vocational colleges have incorporated practical training courses focused on automated production lines. However, due to spatial constraints and insufficient availability of physical equipment, the imp...

Short-term wind speed forecasting remains challenging due to the inherent nonstationarity and multiscale variability of atmospheric processes. This study proposes a hybrid multiscale forecasting framework combining four-...

With the rapid growth of Internet of Vehicles (IoV) technology, the attack surface has expanded significantly in recent years. Traditional intrusion detection systems, such as signature-based and rule-based approaches, a...

Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2023 "The present thesis proposes a conceptual design of a tiltable propulsi...

En este trabajo de tesis se proponen nuevas soluciones a dos problemáticas de control de máquinas de corriente alterna con imanes permanentes: la minimización del ripple de par y la eliminación de sensores mecánicos...

Fil: De Ángelis, Jésica. Universidad Nacional de Quilmes. Departamento de Economía y Administración; Argentina. La problemática de la restricción externa (RE) puede asociarse a una tasa de crecimiento compatible co...

Materias / palabras clave: power stations, electrical engineering, electrical machines and apparatus, electrical transportation, electrical safety, cable engineering; Technology: Electrical engineering. Electronics. Nuclear engineering

Materias / palabras clave: machine learning, artificial intelligence, computational physics, reinforcement learning, neural networks, applied algorithms; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer e...

Materias / palabras clave: machine, motor, driver, electrification of transportation, electronics; Technology: Electrical engineering. Electronics. Nuclear engineering

Materias / palabras clave: electrical machines, power electronics and its applications, transportation and other applications, power electronics, power electronics on power system applications, transportation and other application; Technology: Ele...

Materias / palabras clave: networking, computing, machine learning, communications; Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Technology: Electrical engineering. Electronics. Nuclear engineering: Telec...