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- Analyzing white blood cells in blood samples using deep learning techniques (2 revisions)
- Merging Clothoids with B-Splines (2 revisions)
- Detecting Points of Interest for Robotic First Aid (2 revisions)
- Intelligible patient representation for outcome prediction of congestive heart failure patients (2 revisions)
- Sensor fusion and machine learning for drone detection and classification (2 revisions)
- AI Enabled Service Market Logistics (2 revisions)
- Mapping SFO mitigation/Linearization algorithms, trade-off between memory and computation on GPU (2 revisions)
- Empowering Adult Learners and Educators through AI (2 revisions)
- Collaboration with Bankomat 2 (2 revisions)
- In-Vehicle Data Acquisition for Driving Behavior Profiling and Automotive AI Applications (2 revisions)
- Open and Realistic smart City Activities Simulator (ORCAS) (2 revisions)
- The effect of a mixed-capability vehicular fleet on Vulnerable Road User safety (2 revisions)
- Fair Conformal Prediction (2 revisions)
- Centre for Health Technology Halland - HCH (2 revisions)
- Stefan Karlsson/PersonalPage (2 revisions)
- Analysis of multi-machine/multi-sensor data (2 revisions)
- Human ground robot interaction (2 revisions)
- Smart App for PD (2 revisions)
- Learning Systems (7.5 credits) (2 revisions)
- Deep Networks for Semantic Scene Understanding (2 revisions)
- Obstacle Identification from 3D Data for AGVs in a Warehouse Environment (2 revisions)
- Anomaly detection in district heating data - with the Elvaco company (2 revisions)
- Explainable AI and poverty prediction (2 revisions)
- Stefan Karlsson/PersonalPage/Education/Matlab With ApplicationsV2 (2 revisions)
- Mooc Example Lecture (2 revisions)
- Digital Twin - AFRY (2 revisions)
- Improved networks for cloud-car communication (2 revisions)
- Anomaly Detection in Time Series Data Using Generative Models (2 revisions)
- Semantic Analysis of 2D Maps With a Metric-Topological Approach (2 revisions)
- New Input (2 revisions)
- Simulating Crowds for Traffic Safety Research (2 revisions)
- Identification and Classification of Automotive Radar Interference using Data-driven Methods (2 revisions)
- AI-driven Automotive Service Market Logistics (2 revisions)
- The effect of contextual information on fuel consumption using Explainable AI! (2 revisions)
- Resolving Class Imbalance using Generative Adversarial Networks (2 revisions)
- Embedding DNN models on mobile robots for object detection (2 revisions)
- Christopher Nugent (2 revisions)
- Real-time bladder scanner (2 revisions)
- New postdoc position (2 revisions)
- Piglets Detection and Counting using Deep Neural Networks (2 revisions)
- Two open positions (2 revisions)
- On control of robots in remote workspaces using lasers (2 revisions)
- Acumen Robot Model Series (2 revisions)
- Transfer Learning by Selection of Invariant Features (2 revisions)
- Simulating cyber attacks and countermeasures using Cyber Operations Research Gym (CybORG) (2 revisions)
- Clustering of battery usage pattern for Electric buses (2 revisions)
- Collaboration with Bankomat 5 (2 revisions)
- Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration (2 revisions)
- Conditional GAN for better embedding and generation of medical codes (2 revisions)
- Finding patterns/motifs in time series data (2 revisions)