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DIFDD: Deep intelligence framework for disease detection using patients electrocardiogram signals and X-ray images
Heart disease has been the leading cause of mortality worldwide in the recent decade. Since 2019, new lung-related infections have increased heart...
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An Intermediate Deep Feature Fusion Approach for Understanding Human Activities from Image Sequences
Human activity recognition (HAR) is complex in real time because of varying views, illuminations, backgrounds, and colors. With the current state of...
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SA-DCPNet: Scale-aware deep convolutional pyramid network for crowd counting
Crowd counting is one of the most complex research topics in the field of computer vision. There are many challenges associated with this task,...
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Modeling transformer architecture with attention layer for human activity recognition
Human activity recognition (HAR) is necessary in numerous fields, involving medicine, sports, and security. Traditional HAR methods often rely on...
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A self-attention-based fusion framework for facial expression recognition in wavelet domain
Facial expression recognition (FER) plays a vital role for applications based on human–computer interaction. In the past few years, many deep...
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A Statistical Language Modeling Framework for Extractive Summarization of Text Documents
The availability of a large collection of text documents on a variety of topics, such as tweets, web pages, news articles, and stories, in different...
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Evaluation of an emergency medicine point-of-care ultrasound curriculum adapted for a resource-limited setting in Guyana
BackgroundThis is a cohort pilot study of senior emergency medicine residents and residency-trained emergency medicine registrars practicing in an...
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A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In recent years, numerous deep convolutional neural network...
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Human Action Recognition for Sanitation Data Using Voting Classifier
In the realm of sanitation data-driven human action recognition, the integration of a voting classifier emerges as a promising approach. This study... -
Towards Transfer Learning Based Human Anomaly Detection in Videos
In the present era, the crime rates increase day by day, in such situations, humans keep security as a topmost priority in their daily lives. As a... -
Context-Aware Facial Expression Recognition Using Deep Convolutional Neural Network Architecture
A frame of reference, which includes additional contextual information, can provide a more accurate and comprehensive understanding of the... -
A Review of Deep Learning Techniques for Crowd Behavior Analysis
In today’s scenario, there are frequent events (viz. political rallies, live concerts, strikes, sports meet) occur in which many people gather to...
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Human Activity Recognition with a Time Distributed Deep Neural Network
Human activity recognition (HAR) is necessary in numerous domains, including medicine, sports, and security. This research offers a method to improve... -
Human Detection and Tracking Based on YOLOv3 and DeepSORT
This paper proposes an enhanced object tracking architecture based on YOLOv3 and DeepSORT. YOLOv3 is used for object detection, but in this case, we... -
A Statistical Approach for Extractive Hindi Text Summarization Using Machine Translation
Automatic text summarization (ATS) is a challenging problem for Indian languages. The outcomes of ATS research are the development of summarization... -
Person Detection Using YOLOv3
In today’s world, person detection in video surveillance is very important. It has many applications like crowd counting, single and multiple object... -
Multiview human activity recognition using uniform rotation invariant local binary patterns
Significant efforts have been made to monitor human activity, although it remains a challenging area for computer vision research. This paper has...
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Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Since the arrival of the novel Covid-19, several types of researches have been initiated for its accurate prediction across the world. The earlier...
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An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain
Facial expression recognition (FER) provides an effective way to recognize human emotions. Since, the facial expression shows the internal feelings...