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John Paul Q. Tomas
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2020 – today
- 2024
- [c27]John Paul Quilingking Tomas, Jurich Reuben T. Celeste, Matthias Andrew S. Reyes, Steven Y. Villacruz, Ivanne Cres V. Yabut:
Data-Driven Methodology for Bike Route Identification to Enhance Urban Cycling Infrastructure in Metropolitan Manila. ICCAI 2024: 38-43 - [c26]John Paul Quilingking Tomas, Daryl josh B. Juacalla, Jared O. Poblete, Mark Christian T. Sayson, John Armand V. Yabut:
Enhancing Pedestrian Safety with Advanced Video Detection: Harnessing YOLOv7 to Identify Smartphone Usage Among Walkers. ICCAI 2024: 67-73 - [c25]John Paul Quilingking Tomas, Adam Lee B. Buenaventura, Jester D. Cruzate, Ghasutt Joshua R. Patarata, Izak Kyle E. Villanueva:
Revolutionizing Signage Analysis: Leveraging YOLOv7 Object Detection for Comprehensive Classification and Assessment of Diverse Signage Types. ICCAI 2024: 111-116 - [c24]John Paul Quilingking Tomas, Angela Gabrielle Carbonell, Carl Patrick Adrian Aguas, Karelle Mizzy Bersabal:
Comparative Analysis of YOLOv7 for Improved Object Detection of Road Markings in Low-Light Conditions: Leveraging CLAHE for Low-Light Image Enhancement. ICCAI 2024: 123-128 - [c23]John Paul Q. Tomas, Justin Jerald D. Co, Angel Emmanuel B. Cruz, Jerson Gabriel D. Dizon, Hans Matthew N. Gan:
YOLOv7 Transfer Learning for Frontal-Viewed Face Mask Detection in Crowded Images. ICMAI 2024: 78-84 - [c22]John Paul Q. Tomas, Arjay Aquino, Gener Ellis M. David, Raphaelo D. Del Ayre, Jan Kristoffer L. Alminiana:
YOLOv8-Based Vehicle Type Detection: An In-Depth Exploration of Deep Learning Techniques for Robust Analysis of Dashcam Footage. ICMAI 2024: 91-96 - [c21]John Paul Q. Tomas, Jean Isaiah Dava, Tia Julienne Espejo, Hanna Katherine M. Medina, Bonifacio T. Doma:
Early Fire Detection and Segmentation Using Frame Differencing and Deep Learning Algorithms with an Indoor Dataset. ICMLSC 2024: 158-164 - [c20]John Paul Q. Tomas, Steve Vincent Phillip C. Feria, Jose Rafael A. Franco, Hans C. Laguna:
A Computer Vision Approach to Ambulance Classification in the Philippines using YOLOv5 Small. ICMLSC 2024: 172-177 - [c19]John Paul Quilingking Tomas, Mary Angeline Arcaya, Mark Francis Perez, Mark Benedict Quinto:
Traffic Light Image Recognition for Detecting Violations Using Yolov5 Object Detection and Faster R-CNN. MLMI 2024: 192-197 - [c18]John Paul Q. Tomas, Mary Christine Alinea Tomas, Clint Audrey Dela Cruz, Eonn Gyle Milo Domingo, Mia Enciso, Darla Ionica Zoleta, Bonifacio Tobias Doma Jr.:
LLI Enhancement-Based Evaluation of E-Trike Detection on Roadways Using YOLOv7. MLMI 2024: 274-280 - [c17]John Paul Q. Tomas, Jimuel Cacayan, Jeremy Francisco, Paul Miguel Reonal, Angela Tamara:
Enhanced Aquaculture Monitoring: Real-time Fish Detection Underwater with YOLOv7. MLMI 2024: 290-294 - 2023
- [c16]John Paul Quilingking Tomas, Adrian Paul Mirador Bonifacio, Florenzo Isaac Esguerra Romance, Edward Orbe Zuniga:
Model Development for Fatigue Detection During Synchronous Online Classes. CIIS 2023: 98-105 - [c15]John Paul Q. Tomas, John Christian S. Diamante, Mark Moises T. Cortez, Grace Ann I. Domingo:
Detection of Water Hyacinth (Eichhornia crassipes) on the Water Surface of Pasig River, Philippines, through YOLOv7. CIIS 2023: 124-129 - [c14]John Paul Q. Tomas, Matthew Lawrence Guimong, Gian Andrei Leria, Ian Lemuel Morelos:
Multiple Garbage Detection using Mask R-CNN in TensorFlow for Household Waste Classification. CIIS 2023: 147-153 - [c13]John Paul Quilingking Tomas, Janeth Cruzada Vidal:
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. ICBDC 2023: 16-25 - [c12]John Paul Q. Tomas, Ian Gabriel C. Alcantara, John Robert P. Briz, Alfonso Aurel M. Lapinoria:
A License Plate Detection and Recognition Method For Oblique License Plates Using Deep Learning. ICDIP 2023: 4:1-4:9 - [c11]John Paul Q. Tomas, Roginald Glenn Dela Cruz, Uriel A. Federez, Daniel C. Samonte:
Enhancing CNN-based Face Mask Detection and Usage Classification using Capsule Networks. ICDIP 2023: 34:1-34:7 - 2022
- [c10]John Paul Quilingking Tomas, Bonifacio T. Doma:
Motorcycle Helmet Detection and Usage Classification in the Philippines using YOLOv5 Algorithm. CIIS 2022: 21-25 - [c9]John Paul Quilingking Tomas, Gabriela Andes, Razmin Bernadette Ellazar, Ayesha Keith Santos:
Classification of Flood Disaster Risks with the Use of Gradient Boosting Algorithm. CIIS 2022: 41-46 - [c8]John Paul Quilingking Tomas, Ramcez Philippe C. Tibig, Patrick Quinn S. Ibojos, Jasper June M. Mortel:
Determining the Role of Alternative Roads in Traffic Congestion using Neural Networks. ICEBT 2022: 126-130 - [c7]John Paul Q. Tomas, Marlon Nathan D. Celis, Timothy Kyle B. Chan, Jethro A. Flores:
Trash Detection for Computer Vision using Scaled-YOLOv4 on Water Surface. IEEA 2022: 1-8 - [c6]John Paul Quilingking Tomas, Daniel Oliver Ancheta, Carl Andrei Aquino, Aerol Ortiz:
Determining Student's Engagement in Synchronous Online Classes Using Deep Learning (Compute Vision) and Machine Learning. MLMI 2022: 1-7 - 2021
- [c5]John Paul Q. Tomas, Jose Danielle T. Pantoja, Christian H. Lumugdang, Angelo Jesus O. De Rosas:
Vehicle Detection and Speed Estimation Implemented through Euclidean Algorithm. CIIS 2021: 1-6 - [c4]John Paul Q. Tomas, Nathanael Jhonn R. Aguas, Angela N. De Villa, Jasmin Rose G. Lim:
Developing an Adaptive AI Agent using Supervised and Reinforcement Learning with Monte Carlo Tree Search in FightingICE. CIIS 2021: 31-36
2010 – 2019
- 2019
- [c3]John Paul Q. Tomas, Shaina Nicole V. Jocsing, James Kirk L. Guanzon, Chielo Jane A. Matias:
Effectiveness of Haar-like Features and ViBe Algorithm for Detecting Jaywalkers. CIIS 2019: 90-98 - [c2]Arvin Kenneth Alvarez, Mary Tricia Ann Pelipas, Carl Ivan Rayos del Sol, John Paul Q. Tomas:
Utilizing Tandem Features for Text-Independent Speaker Recognition on Short Utterances. ICCBD 2019: 105-110 - [c1]Aldrin John Torres, Clowie Silubrico, Daniel Torralba, John Paul Q. Tomas:
Detection of Proper Form on Upper Limb Strength Training Using Extremely Randomized Trees for Joint Positions. ICCBD 2019: 111-115
Coauthor Index
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