A review of convolutional neural network architectures and their optimizations
The research advances concerning the typical architectures of convolutional neural
networks (CNNs) as well as their optimizations are analyzed and elaborated in detail in this …
networks (CNNs) as well as their optimizations are analyzed and elaborated in detail in this …
Classical and modern face recognition approaches: a complete review
Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …
Especially, during the last five years, it has gained significant research attention from …
Use of advanced artificial intelligence in forensic medicine, forensic anthropology and clinical anatomy
Three-dimensional convolutional neural networks (3D CNN) of artificial intelligence (AI) are
potent in image processing and recognition using deep learning to perform generative and …
potent in image processing and recognition using deep learning to perform generative and …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
Improvement of emotion recognition from facial images using deep learning and early stop** cross validation
Inthis paper, we present a new approach for emotion recognition from facial images. The
proposed method is based on the association of a pretrained convolutional neural network …
proposed method is based on the association of a pretrained convolutional neural network …
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Recent years have witnessed a substantial increase in the use of deep learning to solve
various natural language processing (NLP) problems. Early deep learning models were …
various natural language processing (NLP) problems. Early deep learning models were …
Human remains identification using Micro-CT, Chemometric and AI methods in Forensic Experimental Reconstruction of Dental patterns after concentrated sulphuric …
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to
concentrated acids might lead to their dissolving, thus making human identification difficult …
concentrated acids might lead to their dissolving, thus making human identification difficult …
Effective training of convolutional neural networks for age estimation based on knowledge distillation
Age estimation from face images can be profitably employed in several applications, ranging
from digital signage to social robotics, from business intelligence to access control. Only in …
from digital signage to social robotics, from business intelligence to access control. Only in …
Dental age estimation using deep learning: A comparative survey
The significance of age estimation arises from its applications in various fields, such as
forensics, criminal investigation, and illegal immigration. Due to the increased importance of …
forensics, criminal investigation, and illegal immigration. Due to the increased importance of …
Facial age estimation using pre-trained CNN and transfer learning
I Dagher, D Barbara - Multimedia Tools and Applications, 2021 - Springer
This paper tackled the problem of human facial age estimation using transfer learning of
some pre-trained CNNs, namely VGG, Res-Net, Google-Net, and Alex-Net. Those networks …
some pre-trained CNNs, namely VGG, Res-Net, Google-Net, and Alex-Net. Those networks …