Review of deep learning-based methods for non-destructive evaluation of agricultural products
Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …
its proficiency in learning distributed representations. Numerous DL algorithms have …
Deep multi-scale pyramidal features network for supervised video summarization
Video data are witnessing exponential growth, and extracting summarized information is
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …
An automated chest X-ray image analysis for covid-19 and pneumonia diagnosis using deep ensemble strategy
Precise and timely diagnosis of Covid-19 and pneumonia is crucial for effective treatment.
However, the traditional RT-PCR method is time-consuming, costly, and prone to incorrect …
However, the traditional RT-PCR method is time-consuming, costly, and prone to incorrect …
[PDF][PDF] Attention-based deep learning framework for action recognition in a dark environment
Human interactions and action recognition (HIAR) are critical tasks in video analytics and
understanding. While HIAR has garnered significant attention in the visible spectrum, other …
understanding. While HIAR has garnered significant attention in the visible spectrum, other …
Edge-Based Local and Global Energy Active Contour Model Driven by Signed Pressure Force for Image Segmentation
Image segmentation is a tedious task that suffers from constraints, such as blurred or weak
edges and intensity inhomogeneity. Active contour models (ACMs), including edge-and …
edges and intensity inhomogeneity. Active contour models (ACMs), including edge-and …
Tracking multiple construction workers using pose estimation and feature-assisted re-identification model
Tracking construction workers is crucial for ensuring worker safety, productivity, appropriate
resource allocation, and regulatory compliance. However, when multiple workers resemble …
resource allocation, and regulatory compliance. However, when multiple workers resemble …
EfficientNetV2-based dynamic gesture recognition using transformed scalogram from triaxial acceleration signal
In this paper, a dynamic gesture recognition system is proposed using triaxial acceleration
signal and image-based deep neural network. With our dexterous glove device, 1D …
signal and image-based deep neural network. With our dexterous glove device, 1D …
Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach
Abstract Pine Wilt Disease (PWD) is a devastating disease that affects forest ecosystems
and has no known cure. Early detection is essential for suppressing infections of PWD …
and has no known cure. Early detection is essential for suppressing infections of PWD …
Impact of Artificial Intelligence on the Global Economy and Technology Advancements
The profound impact of Artificial Intelligence (AI) on the global economy spans a diverse
spectrum of consequences, with Cognitive Computing emerging as a catalyst for significant …
spectrum of consequences, with Cognitive Computing emerging as a catalyst for significant …