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- Karl Iagnemma (3 revisions)
- Hadi Fanaee (3 revisions)
- Stefan Byttner (3 revisions)
- Pallet Detection and Mapping (3 revisions)
- Zero-Shot Learning for Semantic Segmentation (3 revisions)
- Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo) (3 revisions)
- Modelling Health Recommender System using Hybrid Techniques (3 revisions)
- Evaluation of JAX in AI/ML software engineering (3 revisions)
- Object Detection for Autonomous Vehicles (3 revisions)
- Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms (3 revisions)
- Exploring, modelling and optimization of home care regions (3 revisions)
- Magnus Svensson (3 revisions)
- Rune Prytz (3 revisions)
- Workshop Automation together with Volvo Group (3 revisions)
- Kollmorgen Automation AB (3 revisions)
- Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics (3 revisions)
- Research Projects (3 revisions)
- Wideband Dielectric Resonator Antenna Array for Autonomous Vehicles (3 revisions)
- Multivariate Time Series Analysis with Irregularly Sampled Data (3 revisions)
- 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 (3 revisions)
- Security analysis of IIoT connectivity protocols (3 revisions)
- Federated Learning Aggregation Strategies by Weight Exploration (3 revisions)
- Advanced AI based anonymization of traffic video data (3 revisions)
- Prioritize informative structures in 3D brain images (3 revisions)
- Model behaviour of agents in a warehouse setting (3 revisions)
- Project with Whole AB (3 revisions)
- Jonas Jansson (3 revisions)
- Anomaly detection from IoT Time Series @AlfaLaval (3 revisions)
- Pablo del Moral (3 revisions)
- Fuzz testing of network protocols (3 revisions)
- Pablo Picazo (3 revisions)
- A mechatronic system to recycle objects having Spiral Codes (3 revisions)
- Clustering of battery usage pattern for Electric buses (2 revisions)
- Collaboration with Bankomat 5 (2 revisions)
- Transfer Learning by Selection of Invariant Features (2 revisions)
- Constrained dynamic path planning for truck and trailer (2 revisions)
- Resolving Class Imbalance using Generative Adversarial Networks (2 revisions)
- Finding patterns/motifs in time series data (2 revisions)
- Lightweight foundation model for time series classification (2 revisions)
- Comprehending low-dimensional manifolds of temporal data from the home (2 revisions)
- Mining For Meanings In Robot Maps (2 revisions)
- Conditional GAN for better embedding and generation of medical codes (2 revisions)
- Social touch for robots (2 revisions)
- Visual analysis for infotainment in car interiors (2 revisions)
- Machine Unlearning Faithfulness with XAI (2 revisions)
- Machine Learning and LeadTime Prediction (2 revisions)
- Explainable GNNs for Security Verification of RISC-V Cores (2 revisions)
- Internal/Teaching AoOS (2 revisions)
- Timeseries representation learning for EHR (2 revisions)
- Stefan Karlsson/PersonalPage/Education/Matlab With ApplicationsV2 (2 revisions)
