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- Value of BIG DATA for Large Building Owners (4 revisions)
- Predicting Energy Consumption for Heavy-Duty Vehicles via Time Series Embeddings (in collaboration with Volvo) (4 revisions)
- Cargo ANTs (4 revisions)
- Collaboration with Bankomat (4 revisions)
- Deep Decision Forest (4 revisions)
- Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance (4 revisions)
- VBPM (4 revisions)
- Improved face tracking driven by optical flow (3 revisions)
- Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo) (3 revisions)
- Pallet Detection and Mapping (3 revisions)
- Exploring, modelling and optimization of home care regions (3 revisions)
- Zero-Shot Learning for Semantic Segmentation (3 revisions)
- Predicting the status of machines with vibration data (3 revisions)
- Hadi Fanaee-T (www.fanaee.com) (3 revisions)
- Federated Learning Aggregation Strategies by Weight Exploration (3 revisions)
- CAISR Annual report 2015 (3 revisions)
- Stefan Byttner (3 revisions)
- Wideband Dielectric Resonator Antenna Array for Autonomous Vehicles (3 revisions)
- Multivariate Time Series Analysis with Irregularly Sampled Data (3 revisions)
- Security analysis of IIoT connectivity protocols (3 revisions)
- Hadi Fanaee (3 revisions)
- Internal/Intelligent Vehicles TODO (3 revisions)
- Karl Iagnemma (3 revisions)
- Model behaviour of agents in a warehouse setting (3 revisions)
- Using Deep Q-Learning (Alpha-Go algorithm) to solve routing problems in warehouse logistics (3 revisions)
- Research Projects (3 revisions)
- Modelling Health Recommender System using Hybrid Techniques (3 revisions)
- Evaluation of JAX in AI/ML software engineering (3 revisions)
- Anomaly detection from IoT Time Series @AlfaLaval (3 revisions)
- Fuzz testing of network protocols (3 revisions)
- Magnus Svensson (3 revisions)
- Rune Prytz (3 revisions)
- Kollmorgen Automation AB (3 revisions)
- AGENTIC-AI TOWARDS INTERPRETATION OF SERVICE CANVAS AND AUTOMATION OF TRUSTWORTHY ML-PIPELINES (3 revisions)
- Advanced AI based anonymization of traffic video data (3 revisions)
- Algorithms Data Structures and Problem Solving (7.5 credits) (3 revisions)
- Object Detection for Autonomous Vehicles (3 revisions)
- Detection and intention prediction of pedestrians in zebra crossings (3 revisions)
- Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms (3 revisions)
- Dynamic Objects Detection and Tracking (3 revisions)
- Agent and object detection and classification in a warehouse setting (3 revisions)
- Prioritize informative structures in 3D brain images (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)
- Emotion-based automation of intelligent environments using brain-computer interface (3 revisions)
- Project with Whole AB (3 revisions)
- Adaptive warning field system (3 revisions)
- Halmstad Colloquium talk by Professor Enrique Alba (3 revisions)
- Jonas Jansson (3 revisions)
- SeMI (3 revisions)
- Analysis of industrial time series (3 revisions)
