Results 81 to 90 of about 87,896 (215)
(a) Location map with the 26 stations as yellow squares superimposed on the topography in metres above sea level. Correlations between intraseasonal variability of the stratiform cloud cover over Western Equatorial Africa (WEAisv) and (b) observed low‐cloud fraction (LCF), (c) ERA5 LCF at the same location as stations with the same missing entries, (d)
Vincent Moron+4 more
wiley +1 more source
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
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Homothetic Tube‐Based Adaptive MPC
ABSTRACT This article presents a homothetic tube‐based adaptive model predictive control strategy to handle discrete‐time linear time‐invariant (LTI) systems with parametric uncertainties and hard constraints imposed on the states and the control inputs.
Abhishek Dhar+2 more
wiley +1 more source
A Fully Automated Robotic System for Tuning Optimization of RF Cavity Filter
ABSTRACT The advancements in radar systems, electronic warfare, and telecommunication industries have generated a substantial demand for microwave filters. Among these, cavity filters have conventionally served in transmitters and receivers, facilitating the passage of desired signals in the passband while effectively rejecting harmonics and spurious ...
Yarkin Yigit, Engin Afacan
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An intelligent algorithm to fast and accurately detect chaotic correlation dimension
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen+3 more
wiley +1 more source
ABSTRACT The short essay makes a case that a post biological world will be a devolution. Sentience is a relational process linked with the awe and wonder we experience in relation to one another and our shared habitat. The voiceless need to be protected by extending solidarity on the basis of sentience—a normative plea, but also on the basis of ...
J. J. McIntyre‐Mills
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This illustration depicts a comprehensive strategy against monkeypox, showcasing its transmission, symptoms, and prevention. Centralized around nanomaterials and biosensors, it integrates early screening, Internet of Things, vaccination, and community involvement through collaboration among healthcare workers, scientists, researchers, social groups ...
Vishal Chaudhary+3 more
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Applications of Artificial Intelligence in Neurological Voice Disorders
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao+2 more
wiley +1 more source
ABSTRACT Objective Laryngeal dysplasia and Reinke's edema (RE) are common vocal fold lesions associated with smoking. While the former is cancer prone, most cases of the latter do not undergo malignant transformation. Therefore, we proposed identifying biomarkers of smoking‐induced benign‐malignant transformation of vocal fold lesions.
Yun‐Yi Liu, Pei‐Yun Zhuang
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Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma+4 more
wiley +1 more source