Abstract: Deep knowledge of neural networks is a powerful tool that has revolutionized the sphere of predictive banking. Those strategies are used to research big and complex monetary facts units to ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
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 ...
Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
Abstract: The efficient management of electric vehicle (EV) charging infrastructure is critical to meeting the growing demand for sustainable transportation. This study addresses the Electric Vehicle ...
According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a dystopian espresso maker than a beauty device: a matte white box small enough to ...
Learn how ARUP's AI algorithm improves diagnostic accuracy for detecting intestinal parasites, enhancing treatment outcomes for patients.
Abstract: Diabetes is a chronic disorder, and early detection is critical. Traditional machine-learning models—logistic regression, decision trees—often miss the complex, nonlinear interactions among ...
(CNN) — Emma Stone’s algorithm is playing up again. The two-time Academy Award winner reported in May that she was being fed a load of “crazy sh*t” online since researching her part as a woman swept ...