Elevated body mass index (BMI) and physical inactivity are metabolic drivers of hypertension-related chronic kidney disease ...
ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...
Abstract: In this paper, we propose a hybrid time series forecasting model, named as the Adaptive Multivariate Exponential Smoothing-Recurrent Neural Networks (AMES-RNN), which enables accurate ...
Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China Objective: Alcoholic cardiomyopathy (ACM) is a severe cardiovascular condition caused by ...
AIs can outperform humans easily on short tasks, but longer ones are the true hurdle to overcome before we can deem them to be truly intelligent systems. When you purchase through links on our site, ...
Abstract: This study employs a genetic algorithm to optimize the parameters of the Third Order Exponential Smoothing model for predicting on the real-time traffic datasets of the Numenta Anomaly ...
New contributors should first read the contributing guide and learn the basics of PyTensor. Also they should read through some of the examples in the PyMC docs. To be considered as a GSoC student, you ...
Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather patterns and heartbeats to stock prices and production ...
This project aims to predict gold prices using various time series forecasting techniques. The dataset consists of monthly gold futures data over the last ten years ...
Introduction: Mpox (formerly monkeypox) is an infectious disease that spreads mostly through direct contact with infected animals or people's blood, bodily fluids, or cutaneous or mucosal lesions. In ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results