A convolutional neural network (CNN) can successfully learn the nonlinear transmission characteristics of a multimode fibre thus allowing accurate image transmission and reconstruc...
Guide Along with this, RF communication requires a separate setup for transmission and reception of RF waves. Overcoming the above limitations, Visible Light Communication (VLC) is a
Guide With this paper, we intend to highlight the complexities in modeling electrical power flows over transmission networks, especially those that arise from the non-linearity of the network
Guide Here, we present a non-holographic projector based on a TM-guided untrained neural network (TMG-NNet) that leverages TM priors to reduce sampling demands and suppress artifacts
Guide In this work, we propose to use deep CNNs to learn the propagation of light in a MMF. Our ultimate motivation for this work is linked to finding a method to control the propagation of light in a MMF
Guide Santana J., Ortega S., Santana J.M., Trujillo A., Suárez J.P. (2018) Noise reduction automation of LiDAR point clouds for modeling and representation of high voltage lines in a 3D virtual
Guide This study is aimed at investigating and modeling a signal conditioning scheme in the visible light spectrum in view of enhancing the
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Guide Visible Light Communication (VLC) is a subset of Optical Wireless Communication (OWC) originally based on Light Emitting Diodes (LEDs) for data transmission in an imperceptible
Guide Here, we develop a machine-learning approach for light control. Using pairs of binary intensity patterns and intensity measurements we train neural networks (NNs) to provide the wavefront corrections
Guide Uncertainties related to Modeling Accuracy: The 1996 system split up in the Western Interconnection , to-gether with many other events in the past, highlighted the need for having a reasonable level of
Guide Schematic overview of the computational structure of ABENM (A) and simulation steps (B) 2.2. Four main modules of PATH 4.0 At every time-step (monthly) of the
Guide The transmission matrix method has been shown to be a robust method to accu-rately characterize the transmission of light through MMFs and thus provide a convenient method to generate the...
Guide Finally, combining VR modeling with AI in the maintenance of live-line power distribution networks appears to be a potential strategy for improving power transmission system efficiency and
Guide This paper proposes a short-term prediction model for transmission lines icing based on back- propagation (BP) neural network. Our work begins with a review of basic principles of this
Guide The current chapter sidesteps the issue of reflection and transmission properties that vary over the surface; the texture classes of Chapter 10 will address that problem. BRDFs and BTDFs explicitly
Guide To address the limitations of current transmission line point cloud segmentation algorithms in accurately segmenting fine-grained structures, this paper proposes a model named
Guide The backscattering OCT signal is fitted with the extended Huygens-Fresnel model. Both models give good results. Experimental setup for backscattering (a) and transmission (b) SD-OCT.
Guide Transcranial photobiomodulation (tPBM) is the noninvasive application of light to modulate underlying brain activity. There is increasing interest in evaluating tPBM as a therapeutic option. The
Guide The document discusses transmission line models and performance. It describes how transmission lines are characterized by distributed resistance, inductance,
Guide Adequate modeling of DERs in transmission-planning studies is required to address challenges about ensuring adequate bulk system reliability in terms of voltage and frequency performance under high
Guide Light projection through scattering media faces significant challenges due to random disruptions, complicating high-fidelity structured illumination essential for both everyday visualizations
Guide Here, we demonstrate a machine-learning approach requiring only intensity projections and measurements for achieving light control through
Guide In this paper, a coordinated beamforming (CB) scheme is proposed for downlink interference mitigation among the coexisting VLC attocells utilizing multi-luminaire transmitters.
Guide Here, we demonstrate a machine-learning approach for light control. Using pairs of binary intensity patterns and intensity measurements we train neural networks (NNs) to provide the
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