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SDG forum and exhibit on WED 2023

Centered on the theme “Leadership in Collaborative Innovations for a Stronger Nation” Supreme Student Council (SSC) Alangilan, the Office of Student Organizations, the Center for Innovations in Engineering Education (CIEE), and the College of Engineering organized the Sustainable Development Forum on the second day of celebrating the World Engineering Day 2023. The forum shed light...

DevCom, CSD collab for SDG exhibit

BS Development Communication students in collaboration with the Center for Sustainable Development staged a one-day exhibit that highlighted the University’s sustainable initiatives in the achievement of the 17 UN SDGs. DevCom students featured various sustainability efforts through a wide array of IEC materials such as pamphlets, brochures, dioramas, charts, and diagrams as well as videos...

Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans

In such a brief period, the recent coronavirus (COVID-19) already infected large populations worldwide. Diagnosing an infected individual requires a Real-Time Polymerase Chain Reaction (RT-PCR) test, which can become expensive and limited in most developing countries, making them rely on alternatives like Chest X-Rays (CXR) or Computerized Tomography (CT) scans. However, results from these imaging...

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block

In this work, a proposed Multi-Fused Residual Convolutional Neural Network (MFuRe-CNN) with Auxiliary Fusing Layers (AuxFL), a Fusion Residual Block (FuRB) both with Alpha Dropouts (αDO) diagnosed various endoscopic images of gastrointestinal (GI) conditions or diseases. The proposed MFuRe-CNN handled four cases, including colons with ulcerative colitis, polyps, esophagitis, and a healthy colon, sourced from...

A Novel Screening Tool System for Depressive Disorders using Social Media and Artificial Neural Network

Depression is one of the most common mental health disorderswith over 264 million people suffering from it. Improvement in screening depressive disorders can lead to earlier treatment. However, some of the depression screening tools today have constraints and could be difficult to administer due to a lack of cooperation between patient and professional. It is...

Nanotechnology for Clean and Safe Water: A Review

The demand for clean and safe water together with increasingly strict environmental regulations in both developed and developing countries has necessitated the need for a highly efficient yet low-cost water treatment technology to prevent the negative effects of pollutants on the human health and the environment. Nanotechnology holds great potential as a novel and promising...

Optimization of Microwave-Assisted Extraction of Phenolic Compounds from Eleusine Indica using response Surface Methodology

Eleusine indica belongs to the Pocaceae family and is abundantly found in many tropical countries. Because of its anti-malarial, ntioxidant, anti-viral, and antidiabetic properties, among many others, studies are being aimed on developing time and costeffective methods that could efficiently extract its active components. This study focused on the optimization of the microwaveassisted extraction (MAE)...

A comparative performance of breast cancer classification using hyper-parameterized machine learning models

Breast cancer is the second most common cancer and has the second-highest mortality rate in women among all cancer types. Accurate cancer diagnosis plays a great part in breast cancer treatment. The application of machine learning methods in cancer classification has grown popular and has provided an accurate classification of malignant (cancerous) and benign (non-cancerous)...

The andrographolide content and biological activities of the ethanolic leaf extract of andrographis paniculata (Burm. f.) Ness

Andrographolide is a crystalline diterpene lactone present in Andrographis paniculata (AP) and considered as the most active and important secondary metabolite component of the said plant. Few reports are available regarding the biological activities of the AP plant extract. In this study andrographolide content of ethanolic extracts of different AP plant parts was determined using...

Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays

Deep learning and computer vision revolutionized a new method to automate medical image diagnosis. However, to achieve reliable and state-of-the-art performance, vision-based models require high computing costs and robust datasets. Moreover, even with the conventional training methods, large vision-based models still involve lengthy epochs and costly disk consumptions that can entail difficulty during deployment due...

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