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 ...
This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...
With the onset of decentralized finance, the wave of blockchain innovations has also gotten a spark, as many projects are ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
This valuable study examined the roles of the posterior parietal cortex in rats performing an auditory change-detection decision task. It provided solid evidence for two subpopulations with opposing ...
Urban centers worldwide confront mounting pressure from accelerating vehicle ownership and inadequate infrastructure adaptation. Peak-hour congestion degrades ...
I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Abstract: Convolutional neural networks (CNNs) are effective tools for regression tasks. However, their black-box nature limits their applicability in high-impact and high-risk tasks. In this paper, a ...
The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, advancements ...
Ozak AI (OZ) continues to rise in the cryptocurrency market as its presale reaches Phase 5. In Phase 4 alone, the project has already collected 2.5 million dollars, redeeming 831 million tokens to ...
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