Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

AI and Machine Learning Revolutionize Weather Forecasting In recent years, the advancement of AI and machine learning has transformed weather prediction methods. These cutting-edge technologies ...

DataGlobal Hub, a leading content hub for data science and artificial intelligence (AI), recently concluded its Global Data & ...

Abstract: We benchmark performance of long-short term memory (LSTM) network machine learning model and autoregressive integrated ... We first study prediction of DTS time series using Vanilla LSTM and ...

We demonstrate that the tabular foundation model TabPFN, when paired with minimal featurization, can perform zero-shot time series forecasting. Its performance on point forecasting matches or even ...

supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

The Air Indicator Report for Public Awareness and Community Tracking (AIRPACT) was developed for air quality forecasting ... time (120 Intel E5 processors for 3 h) for a single 48-h forecast. Forecast ...

In an endeavor to improve accuracy of depression forecasting, machine learning (ML ... to verify our models in clinical condition and increase the sample size, using time series analysis method of ML, ...