A5103370293- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Marketing and Social Media
- Energy Load and Power Forecasting
- Data Stream Mining Techniques
- Traffic control and management
- Recommender Systems and Techniques
- Traffic Prediction and Management Techniques
- Network Security and Intrusion Detection
- Medical Imaging and Analysis
- Forecasting Techniques and Applications
- Gaze Tracking and Assistive Technology
- Advanced Image and Video Retrieval Techniques
- Autonomous Vehicle Technology and Safety
- Technology Adoption and User Behaviour
- Stock Market Forecasting Methods
- Anomaly Detection Techniques and Applications
- Sharing Economy and Platforms
- Emotion and Mood Recognition
- Vestibular and auditory disorders
- Hand Gesture Recognition Systems
University of Oulu
2024-2025
Politecnico di Milano
2022
University of Bremen
2022
University of California, Santa Barbara
2022
University of Patras
2022
Bridge University
2022
Özyeğin University
2022
École Centrale Paris
2013
CentraleSupélec
2013
Bouygues (France)
2013
Predicting driver behavior is a key component for Advanced Driver Assistance Systems (ADAS). In this paper, novel approach based on Support Vector Machine and Bayesian filtering proposed online lane change intention prediction. The uses the multiclass probabilistic outputs of as an input to filter, output filter used final prediction changes. A tracker integrated in passenger vehicle real-world data collection purpose training testing. Data from different drivers highways were evaluate...
Engagement analysis finds various applications in healthcare, education, advertisement, services. Deep Neural Networks, used for analysis, possess complex architecture and need large amounts of input data, computational power, inference time. These constraints challenge embedding systems into devices real-time use. To address these limitations, we present a novel two-stream feature fusion "Tensor-Convolution Convolution-Transformer Network" (TCCT-Net) architecture. better learn the...