Results 141 to 150 of about 4,430,625 (163)

Method for Underground Mining Shaft Sensor Data Collection. [PDF]

Sensors (Basel)
Adamek A, Będkowski J, Kamiński P, Pasek R, Pełka M, Zawiślak J.   +5 more
europepmc   +1 more source

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

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Using Data Pre-Processing and Convolutional Neural Network (CNN) to Mitigate Light Deficient Regions in Visible Light Positioning (VLP) Systems

Journal of Lightwave Technology, 2022
Yun-Han Chang, Chien-Hung Yeh, Yuan-Zeng Lin   +2 more
exaly   +2 more sources

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 ...
Yun-Han Chang, Chi-Wai Chow, Kun-Hsien Lin   +2 more
exaly   +2 more sources

Utilizing single light-emitting-diode (LED) lamp and silicon solar-cells visible light positioning (VLP) based on angle-of-arrival (AOA) and long-short-term-memory-neural-network (LSTMNN)

Optics Communications, 2022
Yun-Han Chang, 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, Tun-Yao Hung, Yun-Han Chang, Ching-Wei Peng, Yang Liu 0194, Chien-Hung Yeh, Kun-Hsien Lin   +8 more
openaire   +1 more source

Received-Signal-Strength (RSS) Based 3D Visible-Light-Positioning (VLP) System Using Kernel Ridge Regression Machine Learning Algorithm With Sigmoid Function Data Preprocessing Method [PDF]

IEEE Access, 2020
In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms; including the second-order linear regression machine learning (LRML) algorithm, and the kernel ridge ...
Shao-Hua Song, Yu-Chun Wu, Chien-Hung Yeh   +2 more
exaly   +4 more sources

Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

Optical Fiber Communication Conference (OFC) 2022, 2022
We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutional-neural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.
Li-Sheng Hsu, Deng-Cheng Tsai, Hei Man Chen, Yun-Han Chang, Yang Liu 0194, Chi-Wai Chow, Shao-Hua Song, Chien-Hung Yeh   +7 more
openaire   +2 more sources