International Journal Artificial Intelligent and Informatics

Journal title	International Journal of Artificial Intelligent and Informatics
Initials	IJARLIT
Abbreviation	Int. J. Artif. Intell. Informatics
Frequency	Two issues per year [2024]
DOI	prefix 10.33292 by
Online ISSN	2622-626X
Editor-in-chief	Prof. Sharidan Shafie
Publisher	Research and Social Study

International Journal of Artificial Intelligence and Informatics is a scientific journal dedicated to the exploration of theories, methods, and applications of artificial intelligence in time series analysis, forecasting, and prediction. This journal serves as a platform for researchers, academics, and practitioners to publish their work on predictive models applied to various time-dependent phenomena.

Topics within the journal’s scope include, but are not limited to:

1. Predictive Methodologies and Models

Deep learning models for forecasting (LSTM, GRU, Transformer, etc.)
Machine learning algorithms for time series forecasting (ARIMA, SARIMA, XGBoost, etc.)
Optimization of forecasting models using metaheuristic approaches (PSO, GA, etc.)
Hybrid models for improving prediction accuracy
Statistical methods and Bayesian approaches in forecasting

2. Applications of Time Series and Forecasting Across Various Fields

Financial and stock market prediction
Weather forecasting and climate change analysis
Energy demand forecasting and resource management
Time series analysis in healthcare and epidemiology
Forecasting in manufacturing and supply chain management
User behavior prediction in e-commerce and social media

3. Data and Infrastructure for Forecasting

Big data management in time series analysis
Streaming data and real-time forecasting
Explainable AI (XAI) in predictive models
Data augmentation and synthetic data for forecasting

The journal welcomes research articles, review papers, and case studies that provide significant contributions to the development of theories and implementation of predictive systems based on artificial intelligence.