Adenrele‘s paper titled “Using Machine Learning and Regression Analysis to Classify and Predict Danger Levels in Burning Sites” was accepted to the IEEE World AI IoT Congress 2022 (AIIoT). To be presented in June.
Category: Papers
IEEE Article Accepted!
Dr. Valles’ co-authored journal article “Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue” was accepted to IEEE Access.
Journal Article Accepted!
Dr. Valles’ co-authored collaborative journal article titled “Supervised Machine Learning in Inter-Level, Ultra-Low Frequency Power Line Communications” was accepted to the International Journal On Advances in Telecommunications, 2021, vol. 14, no. 1&2.
IEEE UEMCON Paper Accepted!
Dr. Valles’ and Mahbubur’s co-authored collaborative paper titled “Ensemble Training With Classifiers Selection Mechanism” was accepted to the 2021 IEEE UEMCON
IEEE IEMCON Paper Accepted!
Thomas‘ paper titled “Second Sight: MobileNet v1 Integration in Dynamic and Time Critical Scenarios” was accepted to the 2021 IEEE IEMCON
IEEE IEMCON Paper Accepted!
Homayra‘s paper titled “Debris Object Detection Caused by Vehicle Accidents Using UAV and Deep Learning Techniques” was accepted to the 2021 IEEE IEMCON
Journal Article Published!
Fairuz‘s journal article titled “An Initial Machine Learning-Based Victim’s Scream Detection Analysis for Burning Site” is now published on Appl. Sci. 2021, Volume 11, Issue 18, 8425.
World AI-IoT Paper Accepted!
Dr. Valles’ and Rezwan’s paper titled “An Audio Processing With Ensemble Learning Approach for Speech-Emotion Recognition for Children With ASD” was accepted to the 2021 IEEE World AI IoT Congress. To be presented in May 2021.
Best Presenter Award!
Uma was awarded as Best Presenter for her paper titled “An Initial Deep CNN Design Approach for Identification of Vehicle Color and Type for Amber and Silver Alerts” in the Artificial Intelligence and Machine Learning session track at IEEE-CCWC 2021
Uma to Present at CCWC’21
Uma Kamatchi will be presenting her paper titled “An Initial Deep CNN Design Approach for Identification of Vehicle Color and Type for Amber and Silver Alerts” tomorrow at the 11th Annual IEEE Computing and Communication Workshop and Conference (CCWC) 2021.
