Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...
Defense Secretary Pete Hegseth at the U.S. Capitol last month. Photo: Tom Williams/CQ-Roll Call, Inc via Getty Images ...
Social media usage among teens is more prevalent than ever before. In recent years, researchers have begun investigating how much social media affects teen weight concerns and body image issues. A new ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
The "Image to Text Converter" project aims to develop a Python program that can extract text from images using Optical Character Recognition (OCR) techniques. This report provides an overview of the ...
Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...
Artificial Intelligence (AI) has rapidly emerged as a transformative technology in healthcare, particularly in medical image processing. Medical imaging modalities such as MRI, CT, PET, ultrasound, ...
Amid the flurry of Apple Intelligence features pushed out to iPhones, iPads, and Macs in recent months, AI-powered art generation hasn't been forgotten. Apple has debuted a new AI art maker called ...
Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...
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