Accepted Papers

Machine Learning-Based Regional K-12 Enrollment Forecasting and Volatility Classification for Adaptive Resource Allocation in the Philippines

Accelerating Symptom Detection in Canine Ocular Diseases: A Comparative Analysis and Heterogeneous Ensemble of YOLOv8 and RT-DETR

Defending against Membership Inference Attacks through Contrastive Representation Learning

FRIAD-IR: A Framework for Image-Augmented Dynamic Information Retrieval

Parallel Permutation Testing for One-Way ANOVA Using CUDA

A Scalable and Computationally Efficient Implementation of a Macroscopic Traffic Model for Urban Networks

Handwritten Gregg Shorthand Brief Forms Recognition Using Convolutional Neural Networks

Integrating Adaptive Mechanisms for Feature Selection with Mayfly Algorithm, Monarch Butterfly Optimization, and Monarch Mayfly Optimization

Flotector: A Floating Waste Detection System for the Imus River through Participatory Sensing and YOLOv11

Uncertainty-Aware Temporal Transformer Modeling with Masked Self-Attention and Missingness Encoding for Early Sepsis Risk Stratification from ICU Time-Series Data

MAMBO (Multi AI Model Bench Operations): A Framework for Dynamic Model Switching and Benchmarking On-Device AI

Distributed SNP: A High-Performance Hybrid MPI+CUDA Framework for Spiking Neural P Systems

Nonbalanced and Nonhomogenous Spiking Neural dP Systems

Apparent Age Estimation: Challenges and Outcomes - A Comparative Analysis on Apparent Age Estimation Methods and Datasets

TUDLO: Parameter-Efficient Fine-Tuning for Tagalog and Cebuano Early-Grade Mathematics Explanation Generation

Gated Learning-Progress Exploration

Evaluating Large Language Models in Filipino Underspecified, Multi-Turn Conversations

Mixture of Experts with Soft Nearest Neighbor Loss

Conversion from Nondeterminism to Determinism at the Rule Level of Spiking Neural P Systems with Structural Plasticity

On the Notions of Soundness in Spiking Neural P Systems

Galaw at Gunita: Extended Reality Murals for Experiencing Filipino Art

Predictive Models for Solar Energy Output: Performance Evaluation of K-Means and GMM Clustering with Model Interpretability

A Hybrid Machine Learning Framework for Predictive Maintenance of Bearings in Philippine Power Plants

Dynamic Load Balancing and Parallel Non-Maximum Suppression

An Ensemble Prediction Model Using LightGBM and Bidirectional LSTM for Bitcoin Price Dip Detection

Adaptive Shot Allocation for Quantum Observable with Statistical Guarantees

Neuro-Symbolic AI and Autoformalization: Restoring Determinism in the Age of Probabilistic Computing

Early Dengue Diagnosis using Machine Learning on Structured Clinical and Hematological Data

Queue Management System with Smart Feedback, Sentiment Analysis and Geolocation in Holy Child College of Davao

Comparative Study of MobileNetV2 and Hybrid MobileNetV2 with SVM Classifier for Efficient Waste Classification in Low-Resource Environments

A Swin-SNN Cross-Modal Attention Framework for Identifying Systemic Lupus Erythematosus from Ocular Fundus Imaging and Transcriptomic Interferon Signatures

Integrating Deep Learning Models to Improve Cheating Detection in UPOU's Specialized Online Assessment Platform

Solving the Senior High School Timetabling Problem using a Multi-Agent Reinforcement Learning Approach

Text Mining Analysis of Review Bombing Incidents in Filipino Films

Judo Throw Recognition Using Computer Vision Techniques

FITPOSE: A Computer Vision-Based System for Real-Time Posture Assessment in Home-Based Workout Enhancement

GaitAware: A Lightweight Hybrid Gait Analysis System Using BlazePose-BiLSTM and CNN for Identifying Potential Gait Abnormalities

DermaTector: Increasing Efficiency in Diagnostics of Sun-Induced Skin Diseases Utilizing EfficientNet

Augmenting a Force Directed Layout Algorithm in Drawing Adjacent Transposition Graphs

Analysis of Machine Learning Approaches for Real-Time Human Exercise Classification Using Pose Estimation Joint Angles

ATHENA: An Image Captioning Pipeline for Constrained Underwater Environments

Towards More Empathic Programming Environments - An Experimental Empathic AI-Enhanced IDE

Novel CUDA and Segment Tree-Accelerated Simulated Annealing Approaches to the Time-Dependent Knapsack Problem

Scrum vs. Extreme Programming (XP) vs Kanban in the Age of AI and DevOps: A Comparative Analysis of Cultural Resilience to Modern Development Challenges

Self-Training an Image Binary Classification Model using a Multi-Agent System

A Controlled Analysis of In-Context Learning in Large Language Models Through Constructed Languages

FIRE!: A Fire Simulation Game that Educates Filipinos on Fire Safety

Birdview: Human Crowd Density Visualization Tool from Video Feed to Floor Plan using Deep Learning and Homography

Neuro-Symbolic Structure-Aware Visual Parsing of Handwritten Boolean Logic using Swin-Transformer and mBART Decoders

ReHaPT: Integrating Machine Learning and Computer Vision for a Hand Rehabilitation Recognition System

Sign Lang: Developing a VR Game for FSL Learning

Technical Validation of an MDP-Based Adaptive Geometry Learning System via Q-Learning and LLM Hints

Evaluation of Target Encoding Methods Across Linear and Tree-Based Models for Cardiovascular Disease Prediction

AURIS: An LLM-Driven Framework for Structured Mental Health Assessment Using Mixture-of-Experts Architecture