Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...
Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Scientists at TU Delft, the Netherlands, have developed a new algorithm that allows multiple autonomous drones to work ...
In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...
Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially ...
Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in ...
Abstract: In recent years, Bluetooth Low Energy (BLE) positioning technology has garnered significant attention from researchers in the field of indoor localization. This study leverages IQ signal ...
Abstract: This paper presents an optimized Convolutional Neural Network (CNN) accelerator with a focus on improving power efficiency and computational performance. Traditional CNN accelerators often ...
Abstract: Our objective is to develop an advanced computational approach to classify patterns of Interstitial Lung Disease(ILD) using a Hybrid model of Convolutional Neural Network(CNN) and Genetic ...
Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...
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