Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

The surge in demand for machine vision cameras reflects the industry's shift towards smart manufacturing solutions, where ...

To address this issue, we propose Reinforcement Learning ... improving quality metrics by up to 23%, and generated nearly 100% syntactically-correct code. RLSQM also outperformed GPT-4 on all code ...

This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This work is licensed under a Creative Commons Attribution 4.0 International ...

education or training, and Postsecondary attainment. Find out more on the Quality of Life Hub. Goal 4 – Quality education of the Sustainable Development Goals is to ensure inclusive and equitable ...

Additionally, this topic aims to investigate the integration of image processing techniques with other emerging technologies such as machine learning, deep learning ... Computer vision for object ...

You can use our data to build systems that help people find out about the health and social care options available to them. You can access our data through our API ...

Object detection tasks perform both localization and class recognition ... vision and deep learning techniques, insect detection remains a highly challenging task. One major obstacle is the limited ...

Abstract: Most current Light Field Salient Object Detection (LFSOD ... to generate high-quality pixel-level pseudo-labels, aiding network training. Additionally, we propose a novel model architecture ...

Recognition of Prior Learning (RPL) is integral to the vision of The National Education Policy (NEP) 2020. The guidelines also emphasize robust governance, quality assurance, and collaboration ...

The training image data has been used to train the multiple deep-learning models. The adaptive moment (Adam) optimizer has been used for the optimization process. The loss measurement has been carried ...

and our own data based on conventional testing methods showed just 18% of samples were polluted," says Associate Professor Chariton. Using this new approach to water quality testing can highlight ...