Results 141 to 150 of about 755 (164)

Comparative Analysis of LiDAR-SLAM Systems: A Study of a Motorized Optomechanical LiDAR and an MEMS Scanner LiDAR. [PDF]

Sensors (Basel)
Fortuna S, Chiodini S, Valmorbida A, Pertile M.   +3 more
europepmc   +1 more source

Molecular changes in agroinfiltrated leaves of Nicotiana benthamiana expressing suppressor of silencing P19 and coronavirus-like particles. [PDF]

Plant Biotechnol J
Hamel LP, Poirier-Gravel F, Paré MÈ, Tardif R, Comeau MA, Lavoie PO, Langlois A, Goulet MC, Michaud D, D'Aoust MA.   +9 more
europepmc   +1 more source

<i>In Vivo</i> mRNA Delivery to the Lung Vascular Endothelium by Dicationic Charge-Altering Releasable Transporters. [PDF]

J Am Chem Soc
AbdElwakil MM, Ni J, Ramsay-Burrough S, Hurst PJ, McClellan RL, Khasnavis SR, Jia Y, Masud SR, Blake TR, Sallets A, Haabeth OAW, Sagiv-Barfi I, Czerwinski DK, Herrera-Barrera M, Levy R, Wender PA, Kumar ME, Waymouth RM.   +17 more
europepmc   +1 more source

Virus-like particle encapsulation of functional proteins: advances and applications. [PDF]

Theranostics
Sun X, Lian Y, Tian T, Cui Z.
europepmc   +1 more source

A Comprehensive Survey on Emerging Assistive Technologies for Visually Impaired Persons: Lighting the Path with Visible Light Communications and Artificial Intelligence Innovations. [PDF]

Sensors (Basel)
Lavric A, Beguni C, Zadobrischi E, Căilean AM, Avătămăniței SA.   +4 more
europepmc   +1 more source

Computational modelling of the equine arteritis virus GP5/M Dimer: Implications for immune evasion and virulence. [PDF]

PLoS One
Veit M, Matczuk AK.
europepmc   +1 more source

Virotrap Reveals Salmonella SopB as A Ubiquitinated Cargo for Host ESCRT-0

De Meyer M, Verhee A, Grzesik H, De Sutter D, Huyghe J, Delhaye L, Van de Steene T, Fijalkowski I, Jonckheere V, Meuris L, Bertrand MJ, Van Damme P, Stévenin V, Eyckerman S.   +13 more
europepmc   +1 more source

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Positioning Unit Cell Model Duplication With Residual Concatenation Neural Network (RCNN) and Transfer Learning for Visible Light Positioning (VLP)

Journal of Lightwave Technology, 2021
Machine-learning (ML) can be employed to enhance the positioning accuracy of visible-light-positioning (VLP) system. To diminish the training time and complexity, the whole area is usually divided into several positioning unit cells. Most literatures only focus on the positioning performance within an unit cell, and assume the unit cell can be ...
Dong-Chang Lin, Chi-Wai Chow, Ching-Wei Peng   +2 more
exaly   +2 more sources

3-D Indoor Visible Light Positioning (VLP) System based on Linear Regression or Kernel Ridge Regression Algorithms

2020 IEEE Globecom Workshops (GC Wkshps, 2020
We proposed and demonstrated a 3-D indoor visible light positioning (VLP) system based on received signal strength (RSS) technique. To enhance the positioning accuracy, linear regression (LR) and kernel ridge regression (KRR) were employed. Here, we experimentally compared both schemes, and reported that the KRR scheme outperformed the LR scheme.
Dong-Chang Lin, Chien-Hung Yeh, Chi-Wai Chow   +2 more
exaly   +2 more sources

Using Machine Learning and Light Spatial Sequence Arrangement for Copying Positioning Unit Cell to Reduce Training Burden in Visible Light Positioning (VLP)

2021 30th Wireless and Optical Communications Conference (WOCC), 2021
Machine learning (ML) can improve the positioning accuracy in visible-light-positioning (VLP) system. To reduce the training time and complexity, the first step is to divide the whole positioning area into many positioning unit cells. The second step is to train one positioning unit cell; and then copy the “trained” unit cell model to other un-trained “
Li-Sheng Hsu, Dong-Chang Lin, Chi-Wai Chow   +2 more
exaly   +2 more sources