Gavin’s, Dylan’s, and Dr. Valles’ collaborative paper “Data Collection and Real-Time Facial Emotion Recognition in iOS Apps With CNN-Based Models” was accepted to the IEEE World AI IoT Congress 2023 (AIIoT).
Category: Papers
Journal Published!
Adenrele‘s article, Enhancing Safety and Efficiency in Firefighting Operations via Deep Learning and Temperature Forecasting Modeling in Autonomous Unit, was published in MDPI’s Sensors, Volume 23, Issue 10.
AIIoT’23 Paper Accepted!
Mohammad‘s paper “An Advanced IoT Framework for Long Range Connectivity and Secure Data Transmission Leveraging LoRa and ASCON Encryption” was accepted to the IEEE World AI IoT Congress 2023 (AIIoT).
Journal Published!
Sazida Islam’s and Dr. Valles’ article titled Animal Species Recognition with Deep Convolutional Neural Networks from Ecological Camera Trap Images with Dr. Michael Forstner from TXST Biology and colleagues from Texas A&M was published in MDPI’s Animals, Volume 13, Issue 9.
IEEE CCWC’23 Paper Accepted
Dr. Valles’ co-authored collaborative paper “Wind Speed Forecasting for Designing Sustainable Wastewater Treatment Plants” with Shriyank Somvanshi, and et al. was accepted to the 2023 IEEE CCWC.
IEEE CCWC’23 Paper Accepted
Dr. Valles’ co-authored collaborative paper “Forecast Analysis of Visibility for Airport Operations With Deep Learning Techniques” with Sabhasachi Saha was accepted to the 2023 IEEE CCWC.
IEEE CCWC’23 Paper Accepted
Dr. Valles’ co-authored collaborative paper “Performance Analysis of TensorFlow2 Object Detection API Models for Engineering Site Surveillance Applications” with Dupri Grimes was accepted to the 2023 IEEE CCWC.
IEEE CCWC’23 Paper Accepted
Dr. Valles’ co-authored collaborative paper titled “Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas” with Daniel Alonso and Eduardo Alonso was accepted to the 2023 IEEE CCWC.
IEEE GHTC Paper Accepted!
Dr. Valles‘ co-authored collaboration paper titled “Peanut maturity classification by features extracted from selected hyperspectral components” was accepted to the 2022 IEEE Global Humanitarian Technology Conference (GHTC 2022).
CSCE-IPCV’22 Paper Accepted!
Mahbubur‘s paper titled “Automation of Luminescence Quantitation for High-Throughput Plant Phenotyping Using Image Processing and U-Net Segmentation” was accepted to the 26th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV’22). To be presented in July.