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A decision support system for reducing false alarms in ICU
AI-driven Automotive Service Market Logistics
Analysing Engine Performance based on Vehicle Data
Analysis of Multi-Lingual Vehicle Service Histories
Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain
Anomaly ranking of District Heating Substations
Automatic Machine Learning (AUTO-AUTO-ENCODER!)
Autonomously discovering district heating control strategy used by buildings
Be The Change: Online Video Selection for Climate Change Education
Be The Change: Video Analysis for Environmental Sustainability
Behaviour Recognition for automated cars
Building a Knowledge-based AI Framework for Mobility
Consensus clustering for categorizing orthogonal vehicle operations
Constrained dynamic path planning for truck and trailer
Data Heterogeneity in Federated Learning
Data analysis in collaboration with WirelessCar
Deep Recurrent Networks for Machine Prognostics
Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance
Detecting Faults and Estimating Missing Values in Smart Meter Data
Detecting different types of machines based on usage
Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction
Development of surveillance methods for sterilizers
Effecient implementation of DL models on embedded platforms
Empowering Adult Learners and Educators through AI
Estimating Architectural Properties of Buildings Based on Heating Data
Evaluation of JAX in AI/ML software engineering
Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment
Federated learning in automotive industry
Graph Neural Networks for Traffic Flow Forecasting
HUMAI - Test and Demonstration of HUMan-centered AI
Identification and Classification of Automotive Radar Interference using Data-driven Methods
Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA
Intelligible patient representation for outcome prediction of congestive heart failure patients
Joint Analysis of Multimodal data on climate change for the educational purpose
Lightweight foundation model for time series classification
Machine Learning and LeadTime Prediction
Meta-learning for evaluation and implementation of predictive maintenance solution
Model Heterogeneity in Federated Learning
Model Volvo Truck Lifetime Repair History
Modeling and Exploration of Self Rated Health Data using Machine Learning
On detecting deviations by autonomously discovering district heating control strategy used by buildings
Open and Realistic smart City Activities Simulator (ORCAS)
Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol)
Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring
Recognition of Human Intentions for Automated Cars
Recurrent and Deep Learning for Machine Prognostics
Reinforcement Learning applied in mobile health application for hypertion
Replacements vs repairs. What is really a breakdown from the point of view of the data?
Representation Learning for Deviation Detection
Representation of Complex Data Types for Machine Learning
Smart City Monitoring Using Ontology-based Machine Learning
Supervised/Unsupervised Electricity Customer Classification
Thermal Profiling of Residential Energy Consumption for Heat Pump and District Heating Customers
Uncertainty quantification for data driven clinical decision making
Understand Patterns in Volvo Truck Lifetime Repair History
Understanding Applicability of Echo State Networks to Diverse Industrial Data
Wisdom of the crowd, is there a single crowd?
Workshop Automation together with Volvo Group