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- Iris Segmentation Code Based on the GST (13:46, 15 September 2021)
- Iris Segmentation Groundtruth (13:46, 15 September 2021)
- Algorithm development for realtime route planning (17:30, 20 September 2021)
- Thesis with Jayway (17:30, 20 September 2021)
- Gait analysis using wearable sensors in Parkinson's disease (17:31, 20 September 2021)
- Fuzz testing of network protocols (17:31, 20 September 2021)
- Finding patterns/motifs in time series data (17:32, 20 September 2021)
- F1tenth (17:33, 20 September 2021)
- Clustering of battery usage pattern for Electric buses (17:33, 20 September 2021)
- Anomaly detection in district heating data - with the Elvaco company (17:33, 20 September 2021)
- Effecient implementation of DL models on embedded platforms (17:47, 20 September 2021)
- Building a Knowledge-based AI Framework for Mobility (20:33, 22 September 2021)
- Hadi Fanaee (13:12, 23 September 2021)
- Project with Whole AB (10:55, 28 September 2021)
- Security analysis of IIoT connectivity protocols (22:26, 29 September 2021)
- Music style transfer (17:34, 3 October 2021)
- Deep Graph Networks for Future Graph Prediction (10:57, 4 October 2021)
- Deep Networks for Semantic Scene Understanding (11:08, 4 October 2021)
- Intrusion detection and prevention for IIoT using Ensemble Deep Network (10:02, 5 October 2021)
- Deepfake Detection (17:53, 5 October 2021)
- Optimising Energy Consumption for Ferries in Collaboration with Cetasol (22:05, 5 October 2021)
- Incorporate behaviour modelling into AGV safety performance stack (22:35, 5 October 2021)
- Deep clustering for vehicle operation type (08:48, 6 October 2021)
- Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms (14:58, 6 October 2021)
- The effect of contextual information on fuel consumption using Explainable AI! (15:43, 6 October 2021)
- Deep neural network optimization for path prediction in vessels! (15:45, 6 October 2021)
- Fernando Alonso-Fernandez (15:51, 6 October 2021)
- Anomaly detection from IoT Time Series @AlfaLaval (01:44, 10 October 2021)
- Forecasting Industrial IoT Time Series @AlfaLaval (01:45, 10 October 2021)
- Tiago Cortinhal (12:35, 11 October 2021)
- Kunru Chen (12:37, 11 October 2021)
- Surface normal estimation by Spiral Codes (13:30, 11 October 2021)
- Advanced AI based anonymization of traffic video data (14:59, 11 October 2021)
- Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment (16:55, 11 October 2021)
- Visual Transformers for 3D medical images Classification: use-case neurodegenerative disorders (10:12, 12 October 2021)
- Modeling patient trajectories using different representation learning techniques (10:23, 12 October 2021)
- A Decentralized IoT Infrastructure: A comparative study (11:23, 12 October 2021)
- Mobile App Vulnerable Road Users (12:59, 15 October 2021)
- Autonomous flying drone for vehicle classification (13:38, 18 October 2021)
- Automatic Idea Detection for controlling Healthcare-associated infections (10:57, 19 October 2021)
- Lighting up the bicycle roads with drones (16:26, 19 October 2021)
- Virtual reality to support traffic safety (16:28, 19 October 2021)
- LiDAR Denoising (12:59, 27 October 2021)
- Semi-supervised deep learning model to optimally charge and discharge the batteries of electric cars and balance distribution of electrical energy in the power grid (21:48, 27 October 2021)
- Blockchain for polls and elections (16:17, 21 August 2022)
- Project with Atos (18:48, 17 September 2022)
- Open and Realistic smart City Activities Simulator (ORCAS) (18:51, 17 September 2022)
- Deep stacked ensemble (18:52, 17 September 2022)
- Data analysis in collaboration with WirelessCar (18:52, 17 September 2022)
- Data Heterogeneity in Federated Learning (18:52, 17 September 2022)
