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Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...
A Convolution Neural Network Engine for Sclera Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
A Recent Trend in Individual Counting Approach Using Deep Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2019-06)
In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...
COVID-19 Mortality Risk Prediction Using X-Ray Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...
COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...
Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ...