Deep learning based active learning technique for data annotation and improve the overall performance of classification models
Deep learning (DL) models achieved a lot of success due to the availability of labeled
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …
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 …
Automated Laryngeal cancer detection and classification using dwarf mongoose optimization algorithm with deep learning
N Mohamed, RL Almutairi, S Abdelrahim, R Alharbi… - Cancers, 2023 - mdpi.com
Simple Summary Laryngeal cancer poses a major global health burden, with late-stage
diagnoses contributing to decreased survival rates. Recently, deep learning and deep …
diagnoses contributing to decreased survival rates. Recently, deep learning and deep …
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 …
Handformer2T: A Lightweight Regression-based Model for Interacting Hands Pose Estimation from A Single RGB Image
Despite its extensive range of potential applications in virtual reality and augmented reality,
3D hand pose estimation from RGB image remains a very challenging problem. The …
3D hand pose estimation from RGB image remains a very challenging problem. The …
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 …
Land-Cover Classification Using Deep Learning with High-Resolution Remote-Sensing Imagery
Land-area classification (LAC) research offers a promising avenue to address the intricacies
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …
2MLMD: Multi-modal Leap Motion Dataset for Home Automation Hand Gesture Recognition Systems
In the field of multi-modal hand gesture recognition (HGR) systems, the scarcity of
comprehensive datasets poses a significant limitation to the development and evaluation of …
comprehensive datasets poses a significant limitation to the development and evaluation of …
Vision Based Gesture Recognition
P Hrishikesh, V Akshay, K Anugraha… - Procedia Computer …, 2024 - Elsevier
The use of computers has become an integral part of our daily lives, and they are utilized in
various fields. However, traditional input devices such as a mouse and keyboard can …
various fields. However, traditional input devices such as a mouse and keyboard can …