CoDIT 2023
-
Session VS-01: Fault Detection and Diagnosis
Done
-
Session S-41: Artificial Intelligence Approaches
Done
-
Session VS-03: Robotics
Done
-
Session S-13: Diagnosis and Fault Detection
Done
-
Session VS-13: Image Processing
Done
-
Session S-19: Predictive Control with Applications
Done
-
Session S-43: Signal Processing
Done
-
Session S-46: Nonlinear Systems
Done
-
Session S-02: Optimzation with Control Applications
Done
-
KEYNOTE 2
Done
Session S-39: Artificial Intelligence
05/07/2023, 07:00
-
05/07/2023, 09:00
(Africa/Tunis)
(2 hours)
Session
chair(s): Nor Azlan Othman & Miyamoto Ryusuke
|
Paper ID
|
Title
|
Authors
|
|
4
|
A
Pre-Distillation Strategy for Object Detection Task
|
Yu-Chen
Lin*, Wen-Hui Chen, Hung-Cheng Chen, Chia-Hung Wang (Taiwan)
|
|
102
|
CloverNet:
A Real-Time Network for Semantic Segmentation Onboard Edge Devices towards
Planetary Exploration
|
Damiano
Gasperini*, Watcharawut Masawat, Shreya SANTRA, Kazuya Yoshida (Italy)
|
|
470
|
Evaluating Regression
Models with Partial Data: A Sampling Approach
|
Farhad
Pourkamali-Anaraki*, Mohammad Amin Hariri-Ardebili (USA)
|
|
106
|
A
Privacy-Preserving Federated Learning for IoT Intrusion Detection System
|
Riadh Ben
Chaabene*, Darine Ameyed, Fehmi Jaafer, Alexis Roger, Aimeur Esma, Mohamed
Cheriet (Canada)
|
|
345
|
Driving
Style and Road Characteristics from a Motion Sickness Perspective Using a
Methodology Based on Clustering
|
Jon Ander
Ruiz Colmenares*, Estibaliz Asua (Spain)
|
|
501
|
Enhancing
Brain MRI Classification through a Hybrid Machine Learning Methodology
|
Jawad
Haider, Muhammad Fayaz*, Muhammad Shuaib Qureshi (Kyrgyzstan)
|
|
419
|
DeepCNN-DTI:
A Deep Learning Model for Detecting Drug-Target Interactions
|
Wiem
Ben Ghozzi, Abir Chaabani, Zahra Kodia*, Lamjed Ben Said (Tunisia)
|