Vol 9 No 5 (2025)
Dublin Core
Title
Vol 9 No 5 (2025)
Collection Items
Breast Cancer Histopathological Image Classification with Convolutional Neural Networks Models
Early diagnosis and treatment can reduce mortality rates by preventing the progression of breast cancer. Owing to convolutional neural networks (CNN),breast cancer diagnosis can be performed faster and more objectively …
Breast Cancer Histopathological Image Classification with Convolutional Neural Networks Models
Early diagnosis and treatment can reduce mortality rates by preventing the progression of breast cancer. Owing to convolutional neural networks (CNN),breast cancer diagnosis can be performed faster and more objectively …
Stacking Ensemble Learning Model for Intrusion Detection in Electrical Substation
Electrical substations are crucial infrastructure in power transmission and distribution but are increasingly vulnerable to cyber threats. However, existing intrusion detection systems (IDS) face several limitations, such as high false…
Evaluating the Accuracy of a Hybrid Neural Model with RBF-Polynomial Kernel for Rainfall Prediction: A Comparative Analysis of Trainlm and Trainrp Functions
Accurate rainfall prediction is crucial for effective water management and disaster mitigation. This study introduces a novelhybrid neural model that employs a fourth-degree polynomial kernel and provides the first empirical comparison of the trainlm…
Automated Ripeness Detection of Oil Palm Fruit Using a Hybrid GLCM-HSV-KNN Model
Accurately determining the ripeness of oil palm fruit is crucial for ensuring the quality of palm oil. However, traditional manual methods are often time-consuming and less accurate. This study aimed to develop an automated system for …
A Data-Driven Comparison of Linear Mixed Model and Mixed Effects Regression Tree Approaches for Dairy Productivity Analysis
Dairy productivity studies often involve hierarchical and longitudinal data structures that violate the assumptions of linearregression. This study compares two modeling approaches, Linear Mixed Model (LMM) and Mixed Effects Regression…
Explainable Ensemble Learning for Maternal Health Risk in Low-Resource Settings
Maternal health remains a global challenge, particularly in low-resource settings where accurate and timely risk prediction is essential to reducing maternal mortality. This study proposes an explainable machine learning framework for …
IoT-Based Smart Infusion Monitoring and Control System Using ESP32
Infusion is a common medical procedure used to treat conditions such as gastric acid and typhoid, where precise fluid administration is critical. This study presents the development of an IoT-based smart infusion monitoring and…
Student-Generated User Story Quality: A Study on Practitioner and ChatGPT Evaluation
valuating the quality of student-generated user stories is important in software engineering education, but only a limited number of industry practitioners can assist. The integration of generative AI can facilitate this process. To…
Empowering Low-Resource Languages: Javanese Machine Translation
his study addresses the critical need to preserve and revitalize the Javanese language, which despite its widespread popularity, faces challenges as a low-resource language in Indonesia. The decline in Javanese …