2018 Modeling B-Light Transmission Network

A convolutional neural network (CNN) can successfully learn the nonlinear transmission characteristics of a multimode fibre thus allowing accurate image transmission and reconstruc...

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Sep 09, 2025

Visible light communication: Applications, architecture

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

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May 20, 2026

Control techniques and the modeling of electrical power flow across

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

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May 09, 2026

Transmission-matrix-guided untrained neural network for projecting

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

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Mar 19, 2026

Multimode Optical Fiber Transmission with a Deep Learning Network

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

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Dec 24, 2025

Application of 3D liDAR in transmission line modeling | Science and

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

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Sep 21, 2025

Visible Light Channel Modeling for High-data

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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Jun 18, 2026

National Center for Biotechnology Information

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Oct 31, 2025

A Survey of Channel Modeling Techniques for Visible Light

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

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May 20, 2026

Light scattering control in transmission and reflection with neural

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

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Nov 13, 2025

Transmission Planning in the Light of Modeling Uncertainties and the

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

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Feb 25, 2026

Progression and Transmission of HIV (PATH 4.0) – A

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

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Apr 21, 2026

Multimode optical fiber transmission with a deep learning network

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...

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May 02, 2026

Improving transmission systems through virtual reality modeling and

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

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Jan 06, 2026

Short-Term Prediction for Transmission Lines Icing Based

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

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Dec 06, 2025

8 Reflection Models

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

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Jun 25, 2026

TLSNet: A semantic segmentation method for key point cloud regions

To address the limitations of current transmission line point cloud segmentation algorithms in accurately segmenting fine-grained structures, this paper proposes a model named

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Sep 24, 2025

(PDF) Modeling light propagation in transmission and backscattering

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.

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Sep 12, 2025

High-Resolution Computational Modeling of Transcranial

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

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Aug 24, 2025

Transmission Line Modeling Basics | PDF | Electrical

The document discusses transmission line models and performance. It describes how transmission lines are characterized by distributed resistance, inductance,

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Jun 25, 2026

DER Modeling Guidelines for Transmission Planning Studies

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

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Jun 18, 2026

Transmission-matrix-guided untrained neural network for projecting

Light projection through scattering media faces significant challenges due to random disruptions, complicating high-fidelity structured illumination essential for both everyday visualizations

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Jan 08, 2026

Light scattering control with neural networks in

Here, we demonstrate a machine-learning approach requiring only intensity projections and measurements for achieving light control through

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Jun 24, 2026

Coordinated Beamforming for Downlink Visible Light Communication

In this paper, a coordinated beamforming (CB) scheme is proposed for downlink interference mitigation among the coexisting VLC attocells utilizing multi-luminaire transmitters.

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Nov 26, 2025

[1805.05602] Light scattering control in transmission and reflection

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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