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ResNet50-Driven Quality Inspection for Recorder Musical Instrument
The manufacturer of a recorder musical instrument requires high-quality product. The aim is to produce precise tones and an aesthetic look at customer satisfaction. A major challenge encountered by manufacturers is traditional visual …
Addressing Class Imbalance in Oil Palm Disease and Micronutrient Deficiency Detection Using Meta-Learned Transfer Metric Learning
Class imbalance is a major challenge in oil palm disease and nutrient deficiency detection, where healthy samples dominate while diseased or deficient cases are underrepresented, often leading to biased models with high false-negative …
Interdisciplinary Analysis of Machine Learning Applications: Focus on Intent Classification
Given the rapid growth of machine learning publications on platforms such as arXiv, there is a need for systematic approachesto understand their objectives and contributions. This study aimed to analyze scientific intentions across …
Optimization Techniques and Programming for Developing Cost-Effective and Balanced Diet Schedules for Preschoolers
Proper nutrition is important for the growth, motor and cognitive development of young children since the foods consumed determine how well-rounded a child's diet is. However, preschool menu planning is complex because it requires …
Optimization of Accuracy Improvement through Modified ShuffleNet Architecture in Rice Classification
Accurate rice classification is essential to determine the quality and market value of rice. Traditional methods of rice classification are often time-consuming and error-prone, so a more efficient and accurate solution is needed.…
Improving Classification Performance on Imbalanced Stroke Datasets Using Oversampling Techniques
Stroke is the second leading cause of death globally and significantly contributes to long-term disability. While machine learning techniques have been increasingly used for early stroke detection, their performance is often limited…
From Serial to Parallel: Enhancing Needleman-Wunsch Performance through GPU-Based Computing
The increasing demand for faster bioinformatics analysis calls for more efficient approaches for sequence alignment. In this study, we demonstrate that a GPU-based implementation of the Needleman-Wunsch algorithm can achieve up to 14.8× speedup…
Sentiment Classification on Indodax Using Term Frequency, FastText, and Neural Attention Models
The rapid growth of mobile-based investment platforms such as Indodax has triggered a surge in user-generated reviews that reflect public perception and sentiment. This study aimed to develop and evaluate sentiment classification models…
Hyperparameter Tuning with Optuna to optimize the YOLOv11n Model for Weed Detection
Accurate weed detection is essential for maintaining the cleanliness and aesthetic appeal of residential yards. This study aimed to optimize YOLOv11n, a lightweight object detection model, to achieve high precision in weed identification under…
Early Stroke Disease Prediction Based on Lifestyle Factors Applied with Machine Learning
Stroke prediction has many supporting features and variables. Some forecasts focus more on health or elements that are already present. Predicting stroke risk by identifying habitual factors provides more advantages for …