Vol. 3 No. 1 (2026): June 2026
The fourth edition of Journal of Artificial Intelligence (Vol. 3, No. 1, June 2026) presents five research articles that explore the application of Artificial Intelligence (AI) and machine learning across various fields, including finance, e-commerce, healthcare, agriculture, and meteorology. The topics covered include predicting potential deposit customers using CatBoost, comparing the performance of XGBoost, LightGBM, and CatBoost for customer churn prediction, classifying eye diseases using VGG-19 and TensorFlow, detecting shallot leaf diseases using CNN and SVM, and forecasting rainfall using an Attention-Based LSTM model. These articles represent the contributions and collaborations of researchers from Indonesia, the United States, Algeria, and Morocco in developing innovative AI-based solutions to address real-world challenges across multiple sectors.
Articles
-
Predicting Potential Deposit Customers Using CatBoost with Feature Selection and Hyperparameter Optimization
Abstract View: 25,
Pdf Download: 67
-
Comparison of XGBoost LightGBM and CatBoost for Online Store Customer Churn Prediction
Abstract View: 24,
Pdf Download: 34
-
Eye Disease Classification Using VGG-19 and TensorFlow on Fundus Images
Abstract View: 17,
Pdf Download: 37
-
Shallot Leaf Disease Detection Using Convolutional Neural Network and Support Vector Machine
Abstract View: 21,
Pdf Download: 45
