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MDEANet: modified detail-enhanced convolution and attention-based network for dehazing of remote sensing images
Image de-hazing aims to improve quality and restore clarity of hazy images. When airborne particles like dust and smoke absorb light, it can result...
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QuMIN: quantum multi-modal data fusion for humor detection
Humour detection has attracted considerable attention due to its significance in interpreting dialogues across text, visual, and acoustic modalities....
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The effect of interactive tutorial information and purpose built virtual chemistry laboratory on students’ performance
Different Virtual Chemistry Laboratories (VCLs) have been developed where users can perform their experimental work to increase their learning for...
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Using synthetic camera poses for camera calibration in soccer videos
Camera calibration is the process of estimating the parameters that describe the viewpoint of a camera. These parameters allow the map** of points...
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Hop**-mean: an augmentation method for motor activity data towards real-time depression diagnosis using machine learning
The advances from the last few decades in the fields of ML (Machine Learning), DL (Deep Learning), and semantic computing are now changing the shape...
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Discreet: distributed delivery service with context-aware cooperation
End-to-end encrypted messaging applications such as Signal became widely popular thanks to their capability to ensure the confidentiality and...
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A Novel Method for Design and Implementation of Systolic Associative Cascaded Variable Leaky Least Mean Square Adaptive Filter for Denoising of ECG Signals
Electrocardiogram is the most essential diagnostic test for heart disease detection in this era, where it has low frequency and small amplitude,...
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Decentralized traffic management of autonomous drones
Coordination of local and global aerial traffic has become a legal and technological bottleneck as the number of unmanned vehicles in the common...
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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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All Things will be Dominated/Controlled by Humans’ Imaginations in the Next Generation of Internet of Brains
Fifty years ago, an intriguing concept was proposed that relied on Internet technology, known as the Internet of Things. Over time, this idea has...
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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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Efficient Hotel Rating Prediction from Reviews Using Ensemble Learning Technique
Predicting hotel ratings from reviews involves natural language processing techniques to extract sentiment and features from text data, then applying...
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Systematizing modeler experience (MX) in model-driven engineering success stories
Modeling is often associated with complex and heavy tooling, leading to a negative perception among practitioners. However, alternative paradigms,...
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A novel PLS technique for secure ESM based MIMO systems
Multiple-input multiple-output systems with spatial modulation has evolved into an energy efficient and less complex wireless transmission system due...
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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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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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The impact of supply chain digitalization on supply chain performance: a moderated mediation model
Despite extensive attention that researchers and practitioners have paid to supply chain digitalization, our understanding of how to leverage supply...