Category: Research

Environmental factors are essential to effective mushroom cultivation, as controlled moisture, humidity, and temperature directly affect yield, quality, and growth. This study introduces the design and development of an Internet of Things (IoT)-based electronic management system for optimizing mushroom farming environments through real-Time monitoring and automated control. The system continuously monitors temperature, soil moisture, and...

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...

This study investigated the influence of perceived instructor emotional support on academic resilience among 363 first-and second-year university students enrolled in Physical Education (PE) courses at a State University in the Philippines. Using the Teacher Emotional Support (TES) Scale and Academic Resilience Scale (ARS-30), the research focused on three components of emotional support: Positive Climate...

This study examined the roles of grit and curiosity in predicting academic engagement among physical education students at a selected state university. Using quantitative methods with a sample of undergraduates enrolled in Physical Activity Toward Health and Fitness courses, it assessed the influence of these psychological traits on academic engagement. The results showed that grit...

This study aims to evaluate the sufficiency of visual cues in English modules and examine the adaptation practices of public junior high school teachers in utilizing these modules. Employing a descriptive-correlational research design, the study analyzed the relationship between the sufficiency of visual cues and the extent of teachers’ adaptation practices. Data were collected using...

DNN (deep neural network) and CNN (convolution neural network) have been widely used in real-time artificial intelligent (AI) applications, particularly image or video recognitions, because they have been proved physically in many occasions. However, most prior AI hardware works either suffered from high on-silicon area cost or low usage thereof. This investigation presents a power...

This research investigates the emotional tolls of teacher education students in the context of physical education at Batangas State University, TNEU JPLPC-Malvar. The study aims to discern the emotional landscape by examining the influence of various factors such as sex, year level, academic performance, and socioeconomic status on the subjective, physiological, and behavioral dimensions of...

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...

In smart agriculture, the detection of the level of soil nitrogen is essential in soil fertility and productivity that correlates to crop yields and fertilizer recommendations. With the advancement of technology, identification of such level is easily obtained using devices that capture images, which are affected by two factors, i.e., the tilting angle of the...

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...