Abstract: Heart sound auscultation has been applied in clinical usage for early screening of cardiovascular diseases. Due to the high demand for auscultation expertise, automatic auscultation can help ...
Abstract: The critical issue for fault diagnosis of wheel-set bearings in high-speed trains is to extract fault features from vibration signals. To handle high complexity, strong coupling, and low ...
Abstract: A virtual synchronous generator (VSG) control based on adaptive virtual inertia is proposed to improve dynamic frequency regulation of microgrid. When the system frequency deviates from the ...
Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...
Abstract: The development of new technologies and their expanding use in a wide range of educational environments are driving the transformation of higher education. Assistive technologies are cutting ...
Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
Abstract: In this article, we concentrate on the adaptive fuzzy containment control approach for a class of nonlinear multiagent systems with deferred constraint and actuator failure. First, ...
Abstract: Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a ...
Abstract: In this paper, a unified energy management scheme is proposed for renewable grid integrated systems with battery-supercapacitor hybrid storage. The intermittent nature of renewable-energy ...
Abstract: The lithium-ion batteries used in electric vehicles have a shorter lifespan than other vehicle components, and the degradation mechanism inside these batteries reduces their life even more.
Abstract: Keeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) ...
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