Osteoarthritis (OA) is the most prevalent chronic joint disease worldwid...
Deep transfer learning techniques try to tackle the limitations of deep
...
In recent years, smart healthcare IoT devices have become ubiquitous, bu...
Physical computing infrastructure, data gathering, and algorithms have
r...
Generative Adversarial Networks (GANs) are machine learning methods that...
A successful deep learning model is dependent on extensive training data...
Sarcasm detection is the task of identifying irony containing utterances...
Over the last decade, the use of Deep Learning in many applications prod...
Video Captioning is considered to be one of the most challenging problem...
The availability of abundant labeled data in recent years led the resear...
Classical machine learning assumes that the training and test sets come ...
In recent years, the Internet of Things (IoT) has drawn convincing resea...
For recognizing speakers in video streams, significant research studies ...
This paper addresses the problem of identifying two main types of lesion...
The ever-increasing number of Internet of Things (IoT) devices has creat...
In [1, 2], we have explored the theoretical aspects of feature extractio...
In [1], we have explored the theoretical aspects of feature selection an...
A large number of engineering, science and computational problems have y...
NP-hard problems always have been attracting scientists' attentions, and...
The performance of artificial neural networks (ANNs) is influenced by we...
In this paper, we consider an algorithm for solving the minimum k suppli...