Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Salekin, Md Sirajus"'
Current face detection algorithms are extremely generalized and can obtain decent accuracy when detecting the adult faces. These approaches are insufficient when handling outlier cases, for example when trying to detect the face of a neonate infant w
Externí odkaz:
http://arxiv.org/abs/2204.00655
Autor:
Sribhashyam, Sidharth Srivatsav, Salekin, Md Sirajus, Goldgof, Dmitry, Zamzmi, Ghada, Last, Mark, Sun, Yu
Spectrograms visualize the frequency components of a given signal which may be an audio signal or even a time-series signal. Audio signals have higher sampling rate and high variability of frequency with time. Spectrograms can capture such variations
Externí odkaz:
http://arxiv.org/abs/2108.03168
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliable medical interpretation, several automated approaches have been prop
Externí odkaz:
http://arxiv.org/abs/2012.02175
This paper presents the first investigation into the use of fully automated deep learning framework for assessing neonatal postoperative pain. It specifically investigates the use of Bilinear Convolutional Neural Network (B-CNN) to extract facial fea
Externí odkaz:
http://arxiv.org/abs/2003.10601
Autor:
Salekin, Md Sirajus, Zamzmi, Ghada, Paul, Rahul, Goldgof, Dmitry, Kasturi, Rangachar, Ho, Thao, Sun, Yu
Neonatal pain assessment in clinical environments is challenging as it is discontinuous and biased. Facial/body occlusion can occur in such settings due to clinical condition, developmental delays, prone position, or other external factors. In such c
Externí odkaz:
http://arxiv.org/abs/1909.02543
Neonates do not have the ability to either articulate pain or communicate it non-verbally by pointing. The current clinical standard for assessing neonatal pain is intermittent and highly subjective. This discontinuity and subjectivity can lead to in
Externí odkaz:
http://arxiv.org/abs/1908.09254
To guide surgical and medical treatment X-ray images have been used by physicians in every modern healthcare organization and hospitals. Doctor's evaluation process and disease identification in the area of skeletal system can be performed in a faste
Externí odkaz:
http://arxiv.org/abs/1905.08545
A kitchen robot properly needs to understand the cooking environment to continue any cooking activities. But object's state detection has not been researched well so far as like object detection. In this paper, we propose a deep learning approach to
Externí odkaz:
http://arxiv.org/abs/1805.09967
Understanding object states is as important as object recognition for robotic task planning and manipulation. To our knowledge, this paper explicitly introduces and addresses the state identification problem in cooking related images for the first ti
Externí odkaz:
http://arxiv.org/abs/1805.06956
Publikováno v:
In Computers in Biology and Medicine February 2021 129