Dr. Valles’s collaboration paper, “Ultrasonic Frequency Anomaly Localization With Machine and Deep Learning,” with Evan Smith, Antonio Grahm, and Joni McCawley, has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
Category: Papers
IEEE-EIT’24 Paper Accepted!
Dhadkan’s paper, “Evolving Autonomous Navigation: A NEAT Approach for Firefighting Rover Operations in Dynamic Environments,” has been accepted to the 24th Annual IEEE International Conference on Electro Information Technology (EIT2024).
ASEE Paper Accepted!
Dr. Valles’s collaboration paper, “Impact of Virtual Reality on Motor Skill Performance in Children with Autism Spectrum Disorder,” has been accepted to the 2024 ASEE Annual Conference & Exposition.
IEEE CCWC’24 Paper Accepted
Dr. Valles’s co-authored collaborative paper “Development of an Augmented Reality Handwashing Tool for Children With Autism Spectrum Disorder” with Evan Smith was accepted to the 2024 IEEE CCWC.
IEEE CCWC’24 Paper Accepted
Dr. Valles’s co-authored collaborative paper “Early Prediction of Characteristic Compressive Strength of Concrete Based on Mix Proportions Using Modified Dimensional Analysis” with Nikhil Pawar was accepted to the 2024 IEEE CCWC.
Best Paper Award!
Mohammad’s and Dr. Valles’ paper, “An Advanced IoT Framework for Long Range Connectivity and Secure Data Transmission Leveraging LoRa and ASCON Encryption,” won the best paper award in the category of Security for IoT at the 2023 IEEE AIIoT.
AIIoT’23 Paper Accepted!
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).
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.
