Alexander A. Hernandez

HC
3papers
6citations
Novelty17%
AI Score13

3 Papers

IVMar 4, 2022
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection

Ariel E. Isidro, Arnel C. Fajardo, Alexander A. Hernandez

This paper is created to explore deep learning models and algorithms that results in highest accuracy in detecting polyp on colonoscopy images. Previous studies implemented deep learning using convolution neural network (CNN) algorithm in detecting polyp and non-polyp. Other studies used dropout, and data augmentation algorithm but mostly not checking the overfitting, thus, include more than four-layer modelss. Rulei Yu et.al from the Institute of Software, Chinese Academy of Sciences said that transfer learning is better talking about performance or improving the previous used algorithm. Most especially in applying the transfer learning in feature extraction. Series of experiments were conducted with only a minimum of 4 CNN layers applying previous used models and identified the model that produce the highest percentage accuracy of 98% among the other models that apply transfer learning. Further studies could use different optimizer to a different CNN modelsto increase accuracy.

HCFeb 7, 2022
Mobile Based Gradebook with Student Outcomes Analytics

Ronel B. Dayanghirang, Alexander A. Hernandez

Mobile applications and other integration of information and communication technology (ICT) have become well-known in education to monitor teaching and learning activities. The analysis of student learning through evaluation is a growing area of interest for teachers in higher education aiming to enhance students learning experience. This paper describes a development of student outcomes monitoring tool that applies analytics to provide feedback to students as they progress in the ladder of achieving the intended learning outcomes. The student outcomes focus on the core elements of the curriculum; it offers detailed student outcomes where the result in courses evaluations and recordings are tracked and analyzed. The data revealed that the student outcomes monitoring and analytics tool is adequate in providing constant feedback to students on the achievement of the desired learning outcomes as well as support teachers in planning the teaching and learning activities, enhance feedback system, academic planning and improvement.

IRJan 29, 2022
An Open Data and Geo-based Information Systems

Dexter I. Mercurio, Alexander A. Hernandez

Barangay is the smallest type of government in the Philippines, and it is driven and represented by its barangay authorities. The barangay officials are accountable for keeping the records of citizens health and crime incidents. It also the first-hand source of information of the national government to develop government programs, community services, and maintain peace and order. This paper presents a developed a web-based information system incorporating open data and geo-based features for a pilot community in the Philippines. This system serves as a platform for information collection and used for planning, analysis, decision-making and increase effectiveness and efficiency of government services in the community.