Vol. 1 No. 4 (2026): BIMA May 2026 Issue

View Vol. 1 No. 4 (2026): BIMA May 2026 Issue

BIMA Vol. 1 No. 4 May 2026 presents various research studies in the fields of machine learning, deep learning, and intelligent system development. This issue covers the development of YOLO26n for apple leaf disease detection, which delivers high performance while maintaining a lightweight architecture to support precision agriculture. Another study compares various machine learning models for predicting the likelihood of Airbnb bookings in Singapore, using GridSearchCV optimization and learning curve analysis to improve model reliability. In the field of text analysis, a comparison of LightGBM and CNN for sentiment classification of game reviews shows that CNN achieves slightly higher accuracy, although class imbalance remains a challenge. This issue also features an ensemble learning approach for breast cancer diagnosis through the combination of CNN, ResNet18, and VGG16, which yields more stable predictions. Additionally, research on gameplay logs produces a structured dataset through preprocessing and feature engineering as a foundation for the development of adaptive mathematics learning. Overall, this issue showcases the application of intelligent algorithms in agriculture, tourism, sentiment analysis, healthcare, and education.

Published: 2026-05-31

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