Detrac: Transfer learning of class decomposed medical images in convolutional neural networks
A Abbas, MM Abdelsamea, MM Gaber - IEEE Access, 2020 - ieeexplore.ieee.org
Due to the high availability of large-scale annotated image datasets, paramount progress
has been made in deep convolutional neural networks (CNNs) for image classification tasks …
has been made in deep convolutional neural networks (CNNs) for image classification tasks …
Melanoma skin lesions classification using deep convolutional neural network with transfer learning
Skin cancer is basically the unnatural growth of skin tissues and it can be fatal. Lately, it has
evolved into one of the most perilous types of other cancers in the human body. Premature …
evolved into one of the most perilous types of other cancers in the human body. Premature …
Fusing china gf-5 hyperspectral data with gf-1, gf-2 and sentinel-2a multispectral data: Which methods should be used?
The China GaoFen-5 (GF-5) satellite sensor, which was launched in 2018, collects
hyperspectral data with 330 spectral bands, a 30 m spatial resolution, and 60 km swath …
hyperspectral data with 330 spectral bands, a 30 m spatial resolution, and 60 km swath …
Learning to denoise astronomical images with U-nets
A Vojtekova, M Lieu, I Valtchanov… - Monthly Notices of …, 2021 - academic.oup.com
Astronomical images are essential for exploring and understanding the Universe. Optical
telescopes capable of deep observations, such as the Hubble Space Telescope (HST), are …
telescopes capable of deep observations, such as the Hubble Space Telescope (HST), are …
Contrasting effects of temperature and precipitation on vegetation greenness along elevation gradients of the Tibetan Plateau
The Tibetan Plateau (TP) is one of the most sensitive regions to global climate warming, not
only at the inter-annual time scale but also at the altitudinal scale. We aim to investigate the …
only at the inter-annual time scale but also at the altitudinal scale. We aim to investigate the …
A domain-independent generative adversarial network for activity recognition using WiFi CSI data
A Zinys, B van Berlo, N Meratnia - Sensors, 2021 - mdpi.com
Over the past years, device-free sensing has received considerable attention due to its
unobtrusiveness. In this regard, context recognition using WiFi Channel State Information …
unobtrusiveness. In this regard, context recognition using WiFi Channel State Information …
A construction method of Atanassov's intuitionistic fuzzy sets for image processing
In this work we introduce a new construction method of Atanassov's intuitionistic fuzzy sets
(A-IFSs) from fuzzy sets. We use A-IFSs in image processing. We propose a new image …
(A-IFSs) from fuzzy sets. We use A-IFSs in image processing. We propose a new image …
Survey on Single Image based Super-resolution — Implementation Challenges and Solutions
A Singh, J Singh - Multimedia Tools and Applications, 2020 - Springer
Super-resolution includes the techniques which deal with the methods of converting the low-
resolution image into the high-resolution image. In this paper, various challenges affecting …
resolution image into the high-resolution image. In this paper, various challenges affecting …
A study of image upsampling and downsampling filters
D Dumitrescu, CA Boiangiu - Computers, 2019 - mdpi.com
In this paper, a set of techniques used for downsampling and upsampling of 2D images is
analyzed on various image datasets. The comparison takes into account a significant …
analyzed on various image datasets. The comparison takes into account a significant …
Convolutional neural network-based classification system design with compressed wireless sensor network images
With the introduction of various advanced deep learning algorithms, initiatives for image
classification systems have transitioned over from traditional machine learning algorithms …
classification systems have transitioned over from traditional machine learning algorithms …