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 trying to revolutionize the space. Ozak AI is a presale project that ...
This repository contains the code and data for the experiments in the paper. The code is written in Python and PyTorch. The code was tested with Python 3.12.2 and PyTorch 2.4.0+cu121 on Ubuntu 18.04.6 ...
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 ...
FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation ...
Abstract: Crime is a harmful and widespread social issue affecting individuals globally, including in Indonesia, requiring not only reactive but also predictive measures for effective prevention. Lack ...
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