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Remote Sensing of Environment, ISSN 0034-4257, 02/2020, Volume 237, p. 111446
Journal Article
Microscopy Research and Technique, ISSN 1059-910X, 04/2018, Volume 81, Issue 4, pp. 419 - 427
A tumor could be found in any area of the brain and could be of any size, shape, and contrast. There may exist multiple tumors of different types in a human... 
tumor segmentation | BRATS datasets | deep learning | convolutional neural networks | features mining | ANATOMY & MORPHOLOGY | BIOLOGY | CLASSIFICATION | MICROSCOPY | Magnetic resonance imaging | Neural networks | Brain tumors | Machine learning | Brain | Feature maps | Segmentation | Image processing | Brain cancer | Artificial neural networks | Image segmentation | Maps | Tumors
Journal Article
Remote Sensing, ISSN 2072-4292, 09/2019, Volume 11, Issue 19, p. 2219
In this study, a deep learning (DL)-based approach is proposed for the detection and reconstruction of buildings from a single aerial image. The pre-required... 
deep learning | building reconstruction | convolutional neural networks | building detection | depth prediction
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 08/2019, Volume 154, pp. 70 - 83
Journal Article
IEEE Journal of Selected Topics in Quantum Electronics, ISSN 1077-260X, 10/2019, Volume 26, Issue 1, pp. 1 - 1
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer... 
Deep learning | Convolution | convolutional neural network (CNN) | Neural networks | Computer architecture | photonic neural networks | Silicon | neuromorphic photonics | machine learning | Kernel | Optical waveguides | Photonics | QUANTUM SCIENCE & TECHNOLOGY | PHYSICS, APPLIED | SILICON | OPTICS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 01/2017, Volume 52, Issue 1, pp. 127 - 138
Eyeriss is an accelerator for state-of-the-art deep convolutional neural networks (CNNs). It optimizes for the energy efficiency of the entire system,... 
deep learning | Shape | Neural networks | Random access memory | energy-efficient accelerators | Computer architecture | Throughput | Hardware | Convolutional neural networks (CNNs) | spatial architecture | Clocks | dataflow processing | COPROCESSOR | ENGINEERING, ELECTRICAL & ELECTRONIC | Artificial neural networks | Reconfiguration
Journal Article
Optics Communications, ISSN 0030-4018, 02/2020, Volume 456, p. 124696
Optical vortex carrying orbital angular momentum (OAM) has attracted a lot of attentions in the field of free-space optical (FSO) communication. Generally,... 
Gerchberg–Saxton (GS) algorithm | Atmospheric turbulence | Orbital angular momentum (OAM) | Convolutional Neural Network (CNN) | VORTICES | ORBITAL-ANGULAR-MOMENTUM | OPTICAL COMMUNICATIONS | BEAMS | LIGHT | TURBULENCE COMPENSATION | PHASE | TRANSMISSION | Gerchberg-Saxton (GS) algorithm | OPTICS | PROBE
Journal Article
Tunnelling and Underground Space Technology incorporating Trenchless Technology Research, ISSN 0886-7798, 11/2018, Volume 81, pp. 265 - 276
Journal Article
19.