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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision....
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V-DAFT: visual technique for texture image defect recognition with denoising autoencoder and fourier transform
Texture is the surface qualities and visual attributes of an object, determined by the arrangement, size, shape, density, and proportion of its...
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Young-gaze: an appearance-based gaze estimation solution for adolescents
According to the World Health Organization survey, the global incidence of adolescent mental illness is 28%, while the disease detection rate is only...
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Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
The findings of this investigation give a novel approach to the forecasting of heart disease. For the purpose of determining significant features, it...
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A lightweight attention-based network for image dehazing
In current convolution-based image dehazing networks, increasing the depth and width of convolutional layers is a common strategy to improve network...
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Estimation of cattle weight from composite image/height/length data with spatial and channel attention convolution network (SCA-ConvNet)
Currently, the predominant method for indirectly obtaining cattle weight data involves establishing the correlation between cattle liveweight and...
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Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
The prediction intervals represent the uncertainty associated with the model-predicted responses that impacts the sequential decision-making...
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ChemScraper: leveraging PDF graphics instructions for molecular diagram parsing
Most molecular diagram parsers recover chemical structure from raster images (e.g., PNGs). However, many PDFs include commands giving explicit...
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Lightweight safety helmet detection algorithm using improved YOLOv5
In response to the challenges faced by existing safety helmet detection algorithms when applied to complex construction site scenarios, such as poor...
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Online camera auto-calibration appliable to road surveillance
Camera calibration is an essential prerequisite for road surveillance applications, which determines the accuracy of obtaining three-dimensional...
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Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Over the past few years, larger and deeper neural network models, particularly convolutional neural networks (CNNs), have consistently advanced...
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“Solar synergy: maximizing photovoltaic power with spotted hyena method in uniform and partial-shade environmental conditions”
A novel bioinspired Spotted-Hyena Method (SH) is proposed to track the maximum power point of partially shaded photovoltaic arrays. The SH algorithm...
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Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying...
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Illuminator: Image-based illumination editing for indoor scene harmonization
Illumination harmonization is an important but challenging task that aims to achieve illumination compatibility between the foreground and background...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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Lattice-based device-to-device authentication and key exchange protocol for IoT system
Protecting IoT environments from the increasing number of cyber threats has grown more important as the number of Internet of Things (IoT) devices...
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Robust consistency learning for facial expression recognition under label noise
Label noise is inevitable in facial expression recognition (FER) datasets, especially for datasets that collected by web crawling, crowd sourcing in...
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An effective underground image enhancement approach based on improved KinD network
Mine images often have problems such as unclear details and low miner-background contrast due to lighting issues, and traditional enhancement methods...
