Search by property

This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• AI Enabled Service Market Logistics  + (Develop a toolkit for a successful implementation of an AI application for Service Market Logistics, with a working AI in a pilot environment and an implementation process evaluation as an output.)
• Adaptive Knowledge Aggregation in Asynchronous Reinforcement Learning  + (Develop an adaptive method to combine knowledge from multiple reinforcement learning agents more efficiently in asynchronous setups.)
• Analyzing Human Motion using Inertial Sensors  + (Develop an algorithm that can detect walking events from accelerometers positioned at different parts of the body.)
• Merging Clothoids with B-Splines  + (Develop an approach to create natural clothoidal lane-change maneuvers for automobiles on lanes that are specified using B-splines.)
• Graphical Traffic Scenario Editor  + (Develop an interactive graphical application to draw vehicle paths and their surrounding environment, for rapid prototyping of traffic scenarios in intelligent vehicle research.)
• Posture Estimation for Motorcycle Simulator Riders Using Remote Sensing and IMU-Based Systems  + (Develop and compare posture estimation methods for motorcycle simulator riders using camera-based remote sensing and IMU-based systems, focusing on hip movement, body lean angles, and leg positions.)
• Autonomy-Aware Trust Modeling in Heterogeneous IoBT - Teams​  + (Develop and evaluate a trust model that dynamically weights behavioral indicators based on agents' autonomy levels (Response Demand, Response Production, Response Selection).)
• Predicting Unit Behavior in Tactical Scenarios Using Deep Learning  + (Develop and evaluate deep learning models capable of predicting future unit behavior and movement trajectories in tactical scenarios, using a combination of historical trajectory data, environmental context, and mission objectives.)
• Coalition Interoperability in Multi-Domain Trust Frameworks​  + (Develop and test mechanisms for trust interoperability across coalition forces using different trust frameworks, ensuring secure and effective collaboration in joint missions. Trust Framework Analysis)
• Posture Estimation for Motorcycle Riders Using Multi-IMU Systems and Video-Based Ground Truth  + (Develop and validate a motorcycle rider posture estimation system using multi-IMU sensors and video-based ground truth for accuracy evaluation.)
• Predicting Energy Consumption for Heavy-Duty Vehicles via Time Series Embeddings (in collaboration with Volvo)  + (Develop deep learning based methods for time series forecasting; explore self-supervised learning methods for multi-variate time series embeddings)
• Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol)  + (Develop machine learning methods for forecasting fuel consumption, path, and motion planning, with historical data from furries operation.)
• Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo)  + (Develop machine learning methods to forecast energy consumption for heavy-duty vehicles)
• A decision support system for reducing false alarms in ICU  + (Developing a clinical decision support system using machine learning and biomedical signal analysis techniques for an ICU setting.)
• Smart Home Simulation  + (Developing and evaluation of a smart home simulator and outlier detection methods.)
• Explainable AI for predictive maintenance in collaboration with Volvo  + (Developing explainable models for predicting components failures of Volvo trucks)
• Domain Adaptation for Survival Analysis  + (Developing robust domain adaptation methods for survival analysis)
• Connected Safety Vest for Roadworkers  + (Development and testing of an embedded system for the protection of Vulnerable Road Users)
• Anomaly Detection for Time Series using Diffusion Approaches  + (Development of Anomaly Detection techniques based on diffusion models (instead of autoencoders) for time series data)
• Pallet Rack Identification in Warehouse  + (Development of an identification algorithm for Pallet Rack Cells in a warehouse. Data acquisition is performed by a mobile robot via fisheye cameras and/or 3D sensors.)
• Improved networks for cloud-car communication  + (Development of new communication network for more efficient, reliable and diverse traffic flow and hence improved performance driving of cars.)
• Development of surveillance methods for sterilizers  + (Development of surveillance methods for sterilizers)
• Digital Twin - AFRY  + (Digital twin for consulting firm)
• Security Vulnerabilities in Multi-Model Computing-in-Memory Systems  + (Discover and quantify timing side-channels and model-fingerprinting risks in multi-tenant CiM accelerators using open simulators and a custom runtime)
• Consensus clustering for categorizing orthogonal vehicle operations  + (Discovering multiple clustering solutions, compare them, and find out if there is a single best (consensus) clustering, or multiple consistent clustering solutions.)

• ActNormal  + (Driving Behavior Model Identification)

• Dynamic Objects Detection and Tracking  + (Dynamic Objects Detection and Tracking in Warehouses, Using 3D Sensors.)
• Project opportunities at HMS  + (Each year there are several project opportunities at HMS (a company with motto of "We create products that enable industrial equipment to communicate and share information"))
• Project opportunities at RISE  + (Each year there are several project opportunities at RISE (Research Institutes of Sweden))
• Project opportunities at ElectronicArts  + (Each year there are several project opportunities at Electronic Arts)
• Project opportunities at Saab  + (Each year there are several project opportunities at Saab)
• Project opportunities at Toyota  + (Each year there are several project opportunities at Toyota)
• Project opportunities at zenseact  + (Each year there are several project opportunities at zenseact)
• Emergency vehicle movement prediction  + (Emergency vehicle movement prediction)
• Analysing Engine Performance based on Vehicle Data  + (Estimate engine perfromance based on data logged on-board Volvo vehicles and using it for diagnostics, e.g. detection of cylinder heads in need of replacement)
• Traffic Estimation From Vehicle Data  + (Estimate traffic density based on logged vehicle data)
• Surface normal estimation by Spiral Codes  + (Estimating 3d surface normal from a single image)
• Blood splatter analysis  + (Estimation of direction and distance to origin from blood splatter images)
• Machine Unlearning Faithfulness with XAI  + (Evaluating Machine Unlearning Faithfulness in Deep Neural Networks using Explainable AI)
• Safe deployment of Deep Neural Networks in automotive engineering  + (Evaluation of DNN factors with respect to robustness in safety critical systems.)
• Evaluation of captchas.  + (Evaluation of liveness detection provided by ocr captchas)
• Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment  + (Evolutionary generating Behavior Trees for use in multi-agent task-oriented environment.)
• Collaboration with Bankomat  + (Explainable AI for Forecasting in Corporate Environments ( RQ: How to provide interpretable/explainable forecasts that align with business logic?)
• XAI for time series data - collaboration with the mathematics and statistics dept. of the University of West Florida  + (Explainable Artificial Intelligence (XAI) on Time Series Data)
• Explainable Anomaly Detection  + (Explainable anomaly detection in time series data utilising causal inference)
• Sailboat Motion Planning using the Level-Set Method  + (Explore the use of Level-Set and Fast-Marching Methods to create time-optimal motions of a point in a plane subject to direction-dependent velocity.)
• Foundation Models for Time Series Analysis  + (Explore the use of large pre-trained time-series foundation models (TSFM) and design fine-tuning strategies on tasks of interest)
• FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks  + (Exploring Federated Learning Frameworks)
• Joint Analysis of Multimodal data on climate change for the educational purpose  + (Exploring climate change data using machine learning and deep learning)
• Quantifying exercise-induced muscle fatigue by machine learning  + (Exploring machine learning methods on an EMG muscle fatigue pipeline)
• Human ground robot interaction  + (External communication from mobile robots to minimize conflicts with pedestrians)