Damian Valles
Orcid: 0000-0002-5684-9498
According to our database1,
Damian Valles
authored at least 28 papers
between 2009 and 2024.
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Bibliography
2024
Development of an Augmented Reality Handwashing Tool for Children with Autism Spectrum Disorder.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024
Early Prediction of Characteristic Compressive Strength of Concrete Based on Mix Proportions Using Modified Dimensional Analysis.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024
2023
Enhancing Safety and Efficiency in Firefighting Operations via Deep Learning and Temperature Forecasting Modeling in Autonomous Unit.
Sensors, 2023
Integrating machine learning and infrared smart cameras into critically endangered bird production.
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023
Forecast Analysis of Visibility for Airport Operations with Deep Learning Techniques.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Performance Analysis of TensorFlow2 Object Detection API Models for Engineering Site Surveillance Applications.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
Data Collection and Real-Time Facial Emotion Recognition in iOS Apps with CNN-Based Models.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
An Advanced IoT Framework for Long Range Connectivity and Secure Data Transmission Leveraging LoRa and ASCON Encryption.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue.
IEEE Access, 2022
Peanut maturity classification by features extracted from selected hyperspectral components.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2022
Using Machine Learning and Regression Analysis to Classify and Predict Danger Levels in Burning Sites.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022
2021
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021
An Initial Deep CNN Design Approach for Identification of Vehicle Color and Type for Amber and Silver Alerts.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021
An Audio Processing Approach using Ensemble Learning for Speech-Emotion Recognition for Children with ASD.
Proceedings of the IEEE World AI IoT Congress, 2021
2020
A Digital Twin Framework for Real-Time Analysis and Feedback of Repetitive Work in the Manual Material Handling Industry.
Proceedings of the Winter Simulation Conference, 2020
Backbone Neural Network Design of Single Shot Detector from RGB-D Images for Object Detection.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020
Performance Analysis and Evaluation of LSTM and GRU Architectures for Houston toad and Crawfish frog Call Detection.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020
Deep Convolutional Neural Network Design Approach for 3D Object Detection for Robotic Grasping.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
A Non-Linear GPU Performance Modeling Approach and Consolidated Linear Hardware Model Performance Evaluation of the LEAP Cluster.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
A Victims Detection Approach for Burning Building Sites Using Convolutional Neural Networks.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
Identification of Wild Species in Texas from Camera-trap Images using Deep Neural Network for Conservation Monitoring.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
Machine Learning Techniques for Motion Analysis of Fatigue from Manual Material Handling Operations Using 3D Motion Capture Data.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
2019
Facial Expression Recognition Using DCNN and Development of an iOS App for Children with ASD to Enhance Communication Abilities.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019
2018
A communication benchmark tailored to intel broadwell nodes and tuned to the DEAC cluster.
Proceedings of the IEEE 8th Annual Computing and Communication Workshop and Conference, 2018
2009
Performance and Timing Measurements in a Multi-core Beowulf Cluster Compute-Node.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009