Tag: 9

In practical industrial applications, the operating conditions of bearings frequently change, posing significant challenges for reliable fault diagnosis. Traditional machine learning methods, which rely on the assumption of independent and identically distributed samples, often experience a significant decline in diagnostic accuracy under such variable conditions. To address this issue, this paper proposes a bearing fault...

Dysarthria, a neurological condition impairing speech, has garnered significant research interest in Deep Learning (DL). Curent studies underscore DL’s potential in automating dysarthria diagnosis and severity classification, utilizing well-known benchmark datasets like TORGO and UA-Speech. However, existing DL for dysarthria diagnosis, like Deep Neural Networks, are often computationally expensive, complex, and lack context awareness. This...

This study aimed to assess the asset management practices of construction companies registered under the Philippine Construction Accreditation Board (PCAB) in Batangas Province. The assessment focused on four key stages: business case, create or acquire, operate and maintain, and dispose of or replace. Company profiles were considered in terms of business ownership, classification, number of...

The Smart Agribot is a cutting-edge robotic system developed to improve how green beans are grown in the Philippines. It combines advanced technology like Convolutional Neural Networks (CNNs) for disease detection, automated spraying, and efficient crop transportation. This project aims to make farming more productive, reduce waste, and improve plant health. The Agribot’s physical design...

This study examines the mediating role of organizational agility in the relationship between Enterprise Resource Planning (ERP) system usage and service differentiation among casual restaurants in Makati City. Specifically, it aims to determine the profile of restaurants in terms of the number of years in operation, assess the level of ERP system usage, assess the...

This study determines the factors influencing the perceived net benefits of the Interventions Monitoring Platform (IMP) of the Department of Agriculture, with a particular focus on the mediating roles of stakeholder trust and satisfaction. Specifically, it examined fertilizer merchants’ perceptions of the quality dimensions of the IMP in terms of information quality, system quality, and...

This study evaluates the usability of an appliance shopping app in the Philippines using the System Usability Scale (SUS) and satisfaction ratings based on various usability metrics, including task time, success rate, error rate, and end-of-task satisfaction. The research aims to identify any significant differences in usability and satisfaction based on demographic factors such as...

This study aims to determine the effect of Quality of Work Life (QWL) on Organizational Commitment (OC) among the employees of a local port company, and to propose inputs to enhance their Human Resource (HR) program. Quantitative research was used to describe QWL and OC. The study utilized complete enumeration and frequency and percentages, Pearson...

Additive manufacturing (AM) has revolutionized manufacturing by offering geometric flexibility in the creation of complex structures. Industries across various sectors have adopted AM for fabricating components, capitalizing on benefits such as reduced weight and enhanced functionality. In critical applications like defense and aerospace, understanding the impact response of AM materials is of great importance. Recent...

Because of the high complexity and the apparent shortcomings of the customary approaches, nonlinear systems modeling in contemporary control engineering becomes a major challenge. Artificial neural networks (ANNs) are a strong nonlinear approximation method that can be used effectively to address this problem, but how to choose the structure of the artificial neural network and...