Advances in Difference Equations, 2017 In this paper, we investigate the control of 4-D nonautonomous fractional-order uncertain model of a PI speed-regulated current-driven induction motor (FOIM) using a fractional-order adaptive sliding mode controller (FOASMC).
Karthikeyan Rajagopal +3 more
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Strong Noise Rejection in VLC Links under Realistic Conditions through a Real-Time SDR Front-End
Sensors, 2023 One of the main challenges in the deployment of visible light communication (VLC) in realistic application fields, such as intelligent transportation systems (ITSs), is represented by the presence of large background noise levels on top of the optical ...
Muhammad Ali Umair +2 more
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SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
BMC Bioinformatics, 2018 Support vector machines (SVM) are a powerful tool to analyze data with a number of predictors approximately equal or larger than the number of observations.
H. Sanz +4 more
semanticscholar +1 more source
Probing Globular Protein Self-Assembling Dynamics by Heterodyne Transient Grating Experiments
Applied Sciences, 2019 In this work, we studied the propagation of ultrasonic waves of lysozyme solutions characterized by different degrees of aggregation and networking. The experimental investigation was performed by means of the transient grating (TG) spectroscopy as a ...
Sara Catalini +4 more
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Breakthroughs in Photonics 2012: Nonlinear Laser Imaging for Neuroscience
IEEE Photonics Journal, 2013 Many advantages make optical methods more and more interesting for neuroscientists. Thanks to the development of new voltage-sensitive dyes and of optogenetic probes, photon-based exploration of neuronal electrical activity is rapidly overcoming most of ...
Anna Letizia Allegra Mascaro +3 more
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Gold Nanostars Bioconjugation for Selective Targeting and SERS Detection of Biofluids
Nanomaterials, 2021 Gold nanoparticles (AuNPs) show physicochemical and optical functionalities that are of great interest for spectroscopy-based detection techniques, and especially for surface enhanced Raman spectroscopy (SERS), which is capable of providing detailed ...
Caterina Dallari +5 more
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Colored extrinsic fluctuations and stochastic gene expression
Molecular Systems Biology, 2008 Stochasticity is both exploited and controlled by cells. Although the intrinsic stochasticity inherent in biochemistry is relatively well understood, cellular variation, or ‘noise’, is predominantly generated by interactions of the system of interest ...
Vahid Shahrezaei +2 more
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Human Stress and StO2: Database, Features, and Classification of Emotional and Physical Stress
Entropy, 2020 Emotional and physical stress can cause various health problems. In this paper, we used tissue blood oxygen saturation (StO2), a newly proposed physiological signal, to classify the human stress. We firstly constructed a public StO2 database including 42
Xinyu Liu +4 more
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A new moisture tagging capability in the Weather Research and Forecasting model: formulation, validation and application to the 2014 Great Lake-effect snowstorm [PDF]
Earth System Dynamics, 2018 A new moisture tagging tool, usually known as water vapor tracer (WVT) method or online Eulerian method, has been implemented into the Weather Research and Forecasting (WRF) regional meteorological model, enabling it for precise studies on atmospheric
D. Insua-Costa, G. Miguez-Macho
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Local non‐linear alignment for non‐linear dimensionality reduction
IET Computer Vision, 2017 In manifold learning, alignment is performed with the objective of deriving the global low‐dimensional coordinates of input data from their local coordinates. In virtually all alignment processes, the relation between the local and global coordinates is designed intuitively, without mathematical deduction and detailed analysis.
Guo Niu, Zhengming Ma
openaire +2 more sources