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CFAR detection using two scale invariant functions in heterogeneous Weibull clutter
In this paper, we considered the constant false alarm rate (CFAR) detector in presence of Swerling 1 interfering targets surrounded in Weibull...
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Lightweight wildfire smoke monitoring algorithm based on unmanned aerial vehicle vision
Forest fires have a serious impact on people’s living environment. Currently, drones enable rapid detection of forest fires. Due to the limited...
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An optimal feature selection method for text classification through redundancy and synergy analysis
Feature selection is an essential step in text classification tasks to enhance model performance, reduce computational complexity, and mitigate the...
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A deep learning-based early alzheimer’s disease detection using magnetic resonance images
Alzheimer’s Disease (AD) is a degenerative, chronic condition of the brain for which there is now no effective treatment. However, there are...
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Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis
Breast cancer is one of the most prevalent cancer types and the second leading cause of death among women. But fortunately, early diagnosis and...
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Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today’s era follows a data-driven decision process for large-scale environment analysis. Aerial view-based decision process plays a key role in...
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DG allocation for radial distribution system through optimal sizing in radial power distribution network using hybrid redfox pathfinder optimization
To improve the effectiveness of a radial distribution system (RDS) when constant power and impedance loads are present, this research offers a novel...
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User-experience oriented POI recommendation with pseudo rating
Point-of-interest (POI) recommendation faces challenges in managing data sparsity and cold-start problems, particularly in terms of personalized...
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Link chain driven reversible data hiding in encrypted images for high payload
In the last decade, data hiding in encrypted image has got a lot of attention within the security and privacy researcher’s communities. This...
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3ENB2: end-to-end EfficientNetB2 model with online data augmentation for fire detection
Fire is recognized as a destructive disaster in smart environments that causes serious harm to ecosystems and humans. Early and rapid-fire detection...
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Using the ToN-IoT dataset to develop a new intrusion detection system for industrial IoT devices
With the rapid expansion of the Internet of Things (IoT), an increasing number of IoT devices are becoming interconnected over the Internet,...
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Word Sense Disambiguation for Indic Language using Bi-LSTM
In the enormous field of Natural Language Processing (NLP), deciphering the intended significance of a word among a multitude of possibilities is...
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A hybrid optimization approach for securing cloud-based e-health systems
In modern healthcare, cloud-based e-health technology offers substantial benefits but faces significant security challenges. Sensitive patient data...
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Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
Accurate localization of abnormalities within X-ray images is of the utmost importance for arriving at the correct diagnosis. Weakly supervised...
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Cross channel interaction based ECA-Net using gated recurrent convolutional network for speech enhancement
Recently channel attention mechanism playing a major role in improving the performance of deep convolution neural networks. Even though there is an...
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Tinysign: sign language recognition in low resolution settings
Existing sign language recognition (SLR) methods mostly rely on high-quality videos that include clear hand and body movements. However, these...
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YED-YOLO: an object detection algorithm for automatic driving
In the context of autonomous driving, real-time and accurate object detection is crucial for ensuring vehicle safety. To address the problem of...
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Optimized RainDNet: an efficient image deraining method with enhanced perceptual quality
RainDNet is an advanced image deraining model that refines the “Multi-Stage Progressive Image Restoration Network” (MPRNet) for superior...
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PointDMIG: a dynamic motion-informed graph neural network for 3D action recognition
Point cloud contains rich spatial information, providing effective supplementary clues for action recognition. Existing action recognition algorithms...
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Coal-rock CT image enhancement based on spatial domain image decomposition and adaptive enhancement factor
Coal-rock CT (computed tomography) images are widely used to analyze the inner structure of coal-rock and further provide help for the study of...
