Browse Items (26 total)
- Collection: Vol 9 No 4 (2025)
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Enhancing Agile Defect Prediction with Optimized Machine Learningand Feature Selection
n Agile software development, efficient defect prediction is crucial because of the rapid and iterative nature of the delivery. Conventional methods that rely on source code or commit logs often fail to capture the critical contextual signals…
Adaptive Stress Prediction with GSR, SMOTE Balancing, and Random Forest Models
Stress is a pervasive condition that affects mental health, productivity, and quality of life across populations. Traditional methods for stress assessment, such as the Perceived Stress Scale (PSS), rely on retrospective…
Advancing Vehicle Logo Detection with DETRto Handle Small Logos and Low-Quality Images
Image-based vehicle logo detection is an important component in the implementation of vehicle information recognition technology, which supports the development of intelligent transportation systems. Vehicle logos, as elements that…
Comparing Optimization Algorithms in ANN Models for House Price Prediction in Pekanbaru
This study evaluates the performance of five optimization algorithms in Artificial Neural Network (ANN) models for predictinghouse prices in Pekanbaru. The optimizers tested include Adam, AdaDelta, Stochastic Gradient Descent (SGD), Nadam, and…
Benchmarking YOLOv8 Variants with Transfer Learning for Real-Time Detection and Classification of Road Cracks and Potholes
Road damage, including potholes and cracks, is a significant issue frequently encountered in road infrastructure in many regions. Such conditions accelerate road degradation, increase the risk of traffic accidents, and …
Real-time Emotion Recognition Using the MobileNetV2 Architecture
Facial recognition technology is now advancing quickly and is being used extensively in a number of industries, including banking, business, security systems, and human-computer interface.However, existing facial recognition models …