Browse Items (28 total)
- Collection: Vol 9 No 3 (2025)
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Benchmarking Metaheuristic Algorithms Against Optimization Techniques for Transportation Problem in Supply Chain Management
The optimization of transportation problems plays a significant role in supply chain management (SCM), where minimizing costs and improving efficiency are mandatory. The transition from manual methods to advanced computational approaches, such as …
Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization
Health risk classification is important. However, health risk classification is challenging to address using conventional analytical techniques. The XGBoost algorithm offers many advantages over the traditional methods for …
Prediction of Financial Distress in Retail Companies Using Long-Short Term Memory (LSTM)
Financial distress is a condition in which an entity struggles to meet its debt and operating obligations.. Financial distress can lead to bankruptcy or company closure if corrective action is not taken. This study aims to forecast financial distress…
Enhancing Tomato Leaf Disease DetectionviaOptimized VGG16and Transfer Learning Techniques
dentification of tomato leaf disease remains difficult because standard approaches are frequently incorrect in identifying distinct signs. Convolutional Neural Networks (CNNs) perform well in image classification and pattern…
UDAWA Gadadar: Agent-based Cyber-physical System for Universal Small-scale Horticulture Greenhouse Management System
Digitalization inagriculture is becoming increasingly important for improving efficiency and sustainability, but small-scale farmers often face difficulties in adopting digital technologies because of various constraints. This study proposes an…
Performance Comparison of Monolithicand MicroservicesArchitecturesinHandlingHigh-Volume Transactions
Monolithic and microservices are two distinct approaches for designing and developing applications. However, these architectures exhibit contrasting characteristics. In monolithic architecture, all components of an application form a…
Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction
Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning…
Development of IoT-based Automatic Water Drainage System on Fishing Boatto Improve Operational Efficiency
The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage systemwithout using an inverter or …
A Multi-Objective Particle Swarm OptimizationApproach for Optimizing K-Means Clustering Centroids
The K-Means algorithm is a popular unsupervised learning method used for data clustering. However, its performance heavily depends on centroid initialization and the distribution shape of the data, making it less effective for datasets with complex…
Enhancing Stroke Prediction with Logistic Regression and Support Vector MachineUsing Oversampling Techniques
Stroke is a significant health concern that can result in both death and disability, making the early identification of risk factors crucial. Previous studies on stroke prediction have been limited by inadequate handling of class …