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A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches,...
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Chasing Pelican based Deep Learning for Multiple Object Detection from Single Input Trash Image
Waste management is essential for develo** a smart city to enhance the population's living standards. Harmonious and healthy living environments...
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Exploring the potential of Easy Language for enhancing website sustainability
Sustainable design principles have become increasingly important in website development, mainly focusing on reducing carbon emissions and energy...
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Analysis of recent techniques in marine object detection: a review
Marine Object Detection, leveraging computer vision, plays a vital role in detecting objects in marine environments ranging from marine organisms to...
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C-Hybrid-NET: A self-attention-based COVID-19 screening model based on concatenated hybrid 2D-3D CNN features from chest X-ray images
The outbreak of novel coronavirus (2019-nCOV, commonly known as COVID-19) was declared a global pandemic by the World Health Organization (WHO) in...
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Disaster assessment from social media using multimodal deep learning
Real-time global event detection particularly catastrophic events has benefited significantly due to the ubiquitous adoption of social media...
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Aggregated Relative Similarity (ARS): a novel similarity measure for improved personalised learning recommendation using hybrid filtering approach
To improve the effectiveness of online learning, the learning materials recommendation is required to be personalised to the learner material...
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Global adaptive histogram feature network for automatic segmentation of infection regions in CT images
Accurate and timely diagnosis of COVID-like virus is of paramount importance for lifesaving. In this work, deep learning techniques are applied to...
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Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN
Accurate racism classification is crucial on social media, where racist and discriminatory content can harm individuals and society. Automated racism...
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Gradient-based explanation for non-linear non-parametric dimensionality reduction
Dimensionality reduction (DR) is a popular technique that shows great results to analyze high-dimensional data. Generally, DR is used to produce...
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SkelVIT: consensus of vision transformers for a lightweight skeleton-based action recognition system
Skeleton-based action recognition systems receive the attention of many researchers due to their robustness to viewpoint and illumination changes,...
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Low-light image enhancement using the illumination boost algorithm along with the SKWGIF method
Low-light image enhancement is highly desirable for outdoor image processing and computer vision applications. Research conducted in recent years has...
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TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
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Examining ALS: reformed PCA and random forest for effective detection of ALS
ALS (Amyotrophic Lateral Sclerosis) is a fatal neurodegenerative disease of the human motor system. It is a group of progressive diseases that...
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Designing preschool children's educational games for enlightenment through decision analysis methods
As an innovative form of digital online education, educational games have potentially significant impacts on preschool children's enlightenment...
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Robust stochastic gradient descent with momentum based framework for enhanced chest X-ray image diagnosis
Our study focuses on the difficulties that radiologists encounter while interpreting Chest X-Ray images, which arise from the inherent ambiguity. We...
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A side match oriented data hiding based on absolute moment block truncation encoding mechanism with reversibility
Owing to life style changes during COVID, communication channels were forced to change. Online services ramped up to replace traditional services. It...
