In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techni...
Measuring and evaluating the condition of pneumatic systems (PS) is an important identification tool for many industrial applications. Ther...
This paper addresses the important industrial problem of monitoring the condition of pneumatic systems (PS) to detect faults, a critical aspect for ma...
Breast cancer (BC) is the second most common hereditary cancer in women and is most likely to affect women. The high cost of treating BC ha...
This paper investigates a nested biaxial micro-electro-mechanical systems (MEMS) accelerometer with low coupling error, derives the kinetic...
Alzheimer's disease (AD) is an irreversible brain condition that impairs memory and cognitive processes. However, existing Alzheimer detect...
The paper "AD-HOLDER: Alzheimer's Disease Detection via Machine Learning based Histograms of Light GBM Classifier using MRI and PET Images" introduces...
This paper presents a compact two-stage piecewise linear analog-to-digital converter (ADC) that enhances sensor linearity while featuring a...
This paper presents a comprehensive metrological approach for evaluating the appearance and optical properties of complex material surfaces...
The shielding efficacy of the metal cavity can be effectively enhanced using absorbing materials coated on the inner wall of the cavity. Wi...
The lake water environment is a common and complex scenario for the application of radio time synchronization. When the timing signal enter...
To enhance the intelligence of machining processes, accurate recognition of tool wear states has become a key issue in the manufacturing fi...
This paper presents a timely and relevant contribution to the critical domain of intelligent manufacturing by addressing the persistent challenge of a...
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