The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
Deep learning approaches to scene text detection: a comprehensive review
In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …
success of deep learning models. Applications of computer vision have emerged and got …
Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
Handcrafted vs. non-handcrafted features for computer vision classification
This work presents a generic computer vision system designed for exploiting trained deep
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
Local binary features for texture classification: Taxonomy and experimental study
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
Convolutional neural networks for texture feature extraction. Applications to leaf disease classification in precision agriculture
This paper studies the use of deep-learning models (AlexNet, VggNet, ResNet) pre-trained
on object categories (ImageNet) in applied texture classification problems such as plant …
on object categories (ImageNet) in applied texture classification problems such as plant …
An efficient lightweight convolutional neural network for industrial surface defect detection
Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …
productions, and it has become a key issue to control the quality of industrial products, which …
Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images
R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …
caused a significant outbreak in all countries and regions for both males and females …
[HTML][HTML] Automated depression analysis using convolutional neural networks from speech
L He, C Cao - Journal of biomedical informatics, 2018 - Elsevier
To help clinicians to efficiently diagnose the severity of a person's depression, the affective
computing community and the artificial intelligence field have shown a growing interest in …
computing community and the artificial intelligence field have shown a growing interest in …