Tag: 9

Diagnosing tumors in Magnetic Resonance Imaging (MRI) brain scans is challenging and can lead to errors, even for radiologists. Deep learning, mainly through deep convolutional neural networks, has assisted in automating the diagnosis of these scans. However, there is still room for improvement. Researchers have shown that transformer models hold promise but often remain underutilized...

Accurate vehicle speed estimation is critical for efficient traffic management and safety, particularly in areas with complex traffic patterns such as bidirectional lanes. This study proposes a deep learning-based system utilizing the YOLOv8 model to estimate vehicle speeds in bidirectional traffic. By leveraging existing camera infrastructure and advanced image processing techniques, the proposed system focuses...

This study determined the organizational resilience of the retail industry in Batangas Province. It examined how the retail sector handles and bounces back from adversities such as natural disasters, economic downturns, and changing consumer preferences. The descriptive method was used to describe the organizational resilience of the retail industry. The survey questionnaires were distributed to...

Employee engagement stands as a cornerstone for success within the transport and logistics industry. In this study, the researcher investigated the relationship between job resources, meaningful work, and employee engagement among trailer truck drivers in transport and logistics companies in Cavite, Laguna, and Batangas. This study utilized a descriptive correlational method and collected data from...

This work explores the high-temperature, dynamic deformation behavior of AISI 420 stainless steel (420SS) produced through laser powder bed fusion (LPBF). The material exhibits a complex dual-phase microstructure, influencing its dynamic mechanical response. The investigation employs the Split-Hopkinson Pressure Bar (SHPB) technique utilizing strain rates of 1000 s−1 and 1500 s−1, and temperatures ranging from...

Natural rubber (NR), valued for its high toughness and elongation, was incorporated into digital light processing (DLP) 3D printing resins to enhance mechanical performance using epoxidised Philippine NR (EPNR), optimised by statistical and machine learning methods. EPNR blends (0–10%) with cationic photo-initiator (CPI) and photo-curable commercial resin (PCR) were formulated using a solvent blending technique....

This investigation demonstrates an on-chip temperature sensor with a maximum linear error less than 0.4% and 0.5 °C resolution. The design comprises Current-to-Frequency Converters (CFC), complementary (CTAT), and proportional (PTAT) to absolute temperature current generator circuits. Most important of all, the proposed sensor is featured with the ratio of these two currents to enhance the...

This study assesses the influence of attitude, subjective norms, and perceived behavioral control of employees at Denovo Express Endeavors Corp. on the actual usage of GCash payments. It aims to understand employee behavior toward digital payments and how GCash is utilized, while also examining usage differences based on respondent profiles. A descriptive research method was...

The study aims to identify whether there is a relationship between an entrepreneur’s capability and the entrepreneurial ecosystem to develop a good strategy that would help an entrepreneur with decision-making. This would be beneficial to for them to realize the requirement to become successful entrepreneurs and for Batangas Province to realize the perfect environment for...

The motors industry has encountered prolonged processing times, leading to inefficiencies and quality issues in the production of their products. This extended processing duration has become a significant factor contributing to decreased productivity and various challenges related to product quality. To address these issues, the researcher used a Lean Manufacturing strategy to improve quality and...