John Paul Q. Tomas

Orcid: 0000-0003-0539-4902

According to our database1, John Paul Q. Tomas authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
LLI Enhancement-Based Evaluation of E-Trike Detection on Roadways Using YOLOv7.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Enhanced Aquaculture Monitoring: Real-time Fish Detection Underwater with YOLOv7.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

Traffic Light Image Recognition for Detecting Violations Using Yolov5 Object Detection and Faster R-CNN.
Proceedings of the 2024 7th International Conference on Machine Learning and Machine Intelligence (MLMI), 2024

A Computer Vision Approach to Ambulance Classification in the Philippines using YOLOv5 Small.
Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

Early Fire Detection and Segmentation Using Frame Differencing and Deep Learning Algorithms with an Indoor Dataset.
Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

YOLOv7 Transfer Learning for Frontal-Viewed Face Mask Detection in Crowded Images.
Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence, 2024

YOLOv8-Based Vehicle Type Detection: An In-Depth Exploration of Deep Learning Techniques for Robust Analysis of Dashcam Footage.
Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence, 2024

Enhancing Pedestrian Safety with Advanced Video Detection: Harnessing YOLOv7 to Identify Smartphone Usage Among Walkers.
Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

Data-Driven Methodology for Bike Route Identification to Enhance Urban Cycling Infrastructure in Metropolitan Manila.
Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

Comparative Analysis of YOLOv7 for Improved Object Detection of Road Markings in Low-Light Conditions: Leveraging CLAHE for Low-Light Image Enhancement.
Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

Revolutionizing Signage Analysis: Leveraging YOLOv7 Object Detection for Comprehensive Classification and Assessment of Diverse Signage Types.
Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence, 2024

2023
Enhancing CNN-based Face Mask Detection and Usage Classification using Capsule Networks.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

A License Plate Detection and Recognition Method For Oblique License Plates Using Deep Learning.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

A Study Comparing the Model Skill of LR, DF, and SVM in Determining Likelihood of Grant and Registration of Patents and Utility Models Assisted by Technology Application and Promotion Institute (DOST-TAPI) through Predictive Analytics.
Proceedings of the 8th International Conference on Big Data and Computing, 2023

Multiple Garbage Detection using Mask R-CNN in TensorFlow for Household Waste Classification.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023

Detection of Water Hyacinth (Eichhornia crassipes) on the Water Surface of Pasig River, Philippines, through YOLOv7.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023

Model Development for Fatigue Detection During Synchronous Online Classes.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023

2022
Determining Student's Engagement in Synchronous Online Classes Using Deep Learning (Compute Vision) and Machine Learning.
Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, 2022

Trash Detection for Computer Vision using Scaled-YOLOv4 on Water Surface.
Proceedings of the IEEA 2022: The 11th International Conference on Informatics, Environment, Energy and Applications, Xi'an, China, March 4, 2022

Determining the Role of Alternative Roads in Traffic Congestion using Neural Networks.
Proceedings of the ICEBT 2022: 6th International Conference on E-Education, E-Business and E-Technology, Beijing, China, June 25, 2022

Motorcycle Helmet Detection and Usage Classification in the Philippines using YOLOv5 Algorithm.
Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems, 2022

Classification of Flood Disaster Risks with the Use of Gradient Boosting Algorithm.
Proceedings of the 2022 5th International Conference on Computational Intelligence and Intelligent Systems, 2022

2021
Vehicle Detection and Speed Estimation Implemented through Euclidean Algorithm.
Proceedings of the CIIS 2021: The 4th International Conference on Computational Intelligence and Intelligent Systems, Tokyo, Japan, November 20, 2021

Developing an Adaptive AI Agent using Supervised and Reinforcement Learning with Monte Carlo Tree Search in FightingICE.
Proceedings of the CIIS 2021: The 4th International Conference on Computational Intelligence and Intelligent Systems, Tokyo, Japan, November 20, 2021

2019
Detection of Proper Form on Upper Limb Strength Training Using Extremely Randomized Trees for Joint Positions.
Proceedings of the 2nd International Conference on Computing and Big Data, 2019

Utilizing Tandem Features for Text-Independent Speaker Recognition on Short Utterances.
Proceedings of the 2nd International Conference on Computing and Big Data, 2019

Effectiveness of Haar-like Features and ViBe Algorithm for Detecting Jaywalkers.
Proceedings of the CIIS 2019: The 2nd International Conference on Computational Intelligence and Intelligent Systems, 2019


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