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- Iris Segmentation Code Based on the GST (12:46, 15 September 2021)
- Iris Segmentation Groundtruth (12:46, 15 September 2021)
- Algorithm development for realtime route planning (16:30, 20 September 2021)
- Thesis with Jayway (16:30, 20 September 2021)
- Gait analysis using wearable sensors in Parkinson's disease (16:31, 20 September 2021)
- Fuzz testing of network protocols (16:31, 20 September 2021)
- Finding patterns/motifs in time series data (16:32, 20 September 2021)
- F1tenth (16:33, 20 September 2021)
- Clustering of battery usage pattern for Electric buses (16:33, 20 September 2021)
- Anomaly detection in district heating data - with the Elvaco company (16:33, 20 September 2021)
- Effecient implementation of DL models on embedded platforms (16:47, 20 September 2021)
- Building a Knowledge-based AI Framework for Mobility (19:33, 22 September 2021)
- Hadi Fanaee (12:12, 23 September 2021)
- Project with Whole AB (09:55, 28 September 2021)
- Security analysis of IIoT connectivity protocols (21:26, 29 September 2021)
- Music style transfer (16:34, 3 October 2021)
- Deep Graph Networks for Future Graph Prediction (09:57, 4 October 2021)
- Deep Networks for Semantic Scene Understanding (10:08, 4 October 2021)
- Intrusion detection and prevention for IIoT using Ensemble Deep Network (09:02, 5 October 2021)
- Deepfake Detection (16:53, 5 October 2021)
- Optimising Energy Consumption for Ferries in Collaboration with Cetasol (21:05, 5 October 2021)
- Incorporate behaviour modelling into AGV safety performance stack (21:35, 5 October 2021)
- Deep clustering for vehicle operation type (07:48, 6 October 2021)
- Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms (13:58, 6 October 2021)
- The effect of contextual information on fuel consumption using Explainable AI! (14:43, 6 October 2021)
- Deep neural network optimization for path prediction in vessels! (14:45, 6 October 2021)
- Fernando Alonso-Fernandez (14:51, 6 October 2021)
- Anomaly detection from IoT Time Series @AlfaLaval (00:44, 10 October 2021)
- Forecasting Industrial IoT Time Series @AlfaLaval (00:45, 10 October 2021)
- Tiago Cortinhal (11:35, 11 October 2021)
- Kunru Chen (11:37, 11 October 2021)
- Surface normal estimation by Spiral Codes (12:30, 11 October 2021)
- Advanced AI based anonymization of traffic video data (13:59, 11 October 2021)
- Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment (15:55, 11 October 2021)
- Visual Transformers for 3D medical images Classification: use-case neurodegenerative disorders (09:12, 12 October 2021)
- Modeling patient trajectories using different representation learning techniques (09:23, 12 October 2021)
- A Decentralized IoT Infrastructure: A comparative study (10:23, 12 October 2021)
- Mobile App Vulnerable Road Users (11:59, 15 October 2021)
- Autonomous flying drone for vehicle classification (12:38, 18 October 2021)
- Automatic Idea Detection for controlling Healthcare-associated infections (09:57, 19 October 2021)
- Lighting up the bicycle roads with drones (15:26, 19 October 2021)
- Virtual reality to support traffic safety (15:28, 19 October 2021)
- LiDAR Denoising (11:59, 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 (20:48, 27 October 2021)
- Blockchain for polls and elections (15:17, 21 August 2022)
- Project with Atos (17:48, 17 September 2022)
- Open and Realistic smart City Activities Simulator (ORCAS) (17:51, 17 September 2022)
- Deep stacked ensemble (17:52, 17 September 2022)
- Data analysis in collaboration with WirelessCar (17:52, 17 September 2022)
- Data Heterogeneity in Federated Learning (17:52, 17 September 2022)
