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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

• Chess playing humanoid robot by vision  + (Chess playing humanoid robot by vision)
• Chess playing humanoid robots by vision  + (Chess playing humanoid robot by vision)
• Vehicle Operation Classification  + (Classify modes of operation of Volvo vehicles based on on-board data)
• Browser Extensions Updates  + (Clustering and analyzing browser extensions by update frequency)
• Clustering of battery usage pattern for Electric buses  + (Clustering of battery usage pattern for Electric buses)
• Hydro Power Station  + (Collaboration with Ålberga Bruk 1919)
• Robot Cooking  + (Common sense for a robot to cook healthy food)
• Human Motion Analysis using Inertial Sensors  + (Compare and evaluate accelerometer and gyroscopes for analyzing human motion in real-world applications.)
• A Decentralized IoT Infrastructure: A comparative study  + (Compare different solutions for building a decentralised IoT platform)
• AI for sustainability management and reporting  + (Connect AI models to sustainability / ESG (social, environmental, and governance) to enable automated processing related to EU sustainability regulations.)
• Constrained dynamic path planning for truck and trailer  + (Constrained dynamic path planning for truck and trailer)
• Recurrent and Deep Learning for Machine Prognostics  + (Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning)
• Deep Recurrent Networks for Machine Prognostics  + (Construct and optimise Recurrent Neural Networks for industrial applications on machine prognostics; Augmenting industrial data for supervised learning)
• Supervised/Unsupervised Electricity Customer Classification  + (Consumer characterization framework based on knowledge discovery in smart meter data)
• Convolutional Neural Network (CNN) responses when the number of classes increase  + (Convolutional Neural Network (CNN) features behaviour in the context of textures)
• Courteous robot guide for visitors to an intelligent home  + (Courteous robot guide for visitors to an intelligent home)
• Open and Realistic smart City Activities Simulator (ORCAS)  + (Create a simulation platform, loosely inspired by gamification, that is in principle capable of capturing the complexity of a complete city.)
• Be The Change: Online Video Selection for Climate Change Education  + (Creating a video selection algorithm to identify the most effective videos by extracting educational, learning, and behavior change activities from online video content.)
• Cross-Spectrum Ocular Identity Recognition via Deep Learning  + (Cross-Spectrum Ocular Identity Recognition via Deep Learning)
• Smart meters' data analysis  + (Customer characterization, customer classification and anomaly detection)
• Data analysis in collaboration with WirelessCar  + (Data analysis in collaboration with WirelessCar)
• Data mining for fault diagnostics in cyberphysical systems  + (Data mining for fault diagnostics in cyberphysical systems)
• Analysis of multi-machine/multi-sensor data  + (Data mining on multi-machine/multi-sensor time series data)
• Data muling services over a constellation of aircraft  + (Data muling services over a constellation of aircraft)
• Smart Alarm  + (Data-driven alarm prediction using sensor data)

• Deep learning and Back Order Solutions  + (Deep learning and Back Order Solutions)

• Reinforcement Learning applied in mobile health application for hypertion  + (Design a Reinforcement Learning applied in mobile health application for improving medication adherence in hypertensive patients)
• Secure Key Management for Partitioned IoBT Environments  + (Design a decentralized and lightweight key management scheme that ensures secure communication even under network partitions.)
• Autonomous Trust and Access Control in Coalition IoBT Networks  + (Design a decentralized, behavior-based trust and access control system that adapts autonomously under disconnected, adversarial conditions.)
• Design and Evaluation of an LLM-Based Travel Planner with Dynamic Event and Accommodation Data  + (Design and Evaluation of an LLM-Based Travel Planner with Dynamic Event and Accommodation Data)
• High Precision Power Use Measurement Device for Raspberry PI  + (Design and build a device from measuring power draw of a Raspberry PI with high precision to power profile software.)
• Dynamic Trust Recalibration Based on Mission Phase and Autonomy Shifts  + (Design and implement a mechanism for dynamic trust recalibration that adapts to evolving mission phases and changes in agent autonomy levels, incorporating plan recognition and collective intention modeling.)
• Game-Theoretic Trust Evaluation for Objective Conflict Resolution  + (Design and implement a trust evaluation mechanism that distinguishes between legitimate goal divergence and malicious behavior using game-theoretic principles.)
• Coordinated Multi-Drone Pattern Formation with Crazyflie & Lighthouse  + (Design and implement synchronized multi-pattern formation (circle, square, hexagon, spiral) for 2–6 Crazyflie drones using Lighthouse positioning and ROS 2/Crazyswarm2, with smooth formation transitions and quantified accuracy/synchronization.)
• V2X Intention Sharing for E-Bikes and E-Scooters  + (Design and implementation of a protocol that enables Vulnerable Road Users to share their intentions with vehicles.)
• Mobile App Vulnerable Road Users  + (Design, development, and evaluation of a mobile app for the protection of Vulnerable Road Users in a test track)
• Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction  + (Design, implement, and evaluate a chatbot system capable of interacting with users and extracting pertinent information from data)
• Deep Decision Forest  + (Designing a deep model that uses decision trees instead of artificial neurons)
• Explainable Decision Forest  + (Designing an explainable decision forest classifier for fault detection)
• Ethical hacking of car-cloud communication  + (Designing and assessing attacks against a car-cloud network)
• Detecting Points of Interest for Robotic First Aid  + (Detecting Points of Interest for Robotic First Aid)
• Time series anomaly detection for heavy-duty vehicles  + (Detecting anomalies in multivariate time series data collected from vehicle operations)
• Time series anomaly detection for Heavy-duty vehicles (in collaboration with Volvo)  + (Detecting anomalies in multivariate time series data via learned representations)
• Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain  + (Detecting anomalous buildings according to how they consume power on a seasonal daily basis)
• Deepfake Detection  + (Detecting deepfake images and videos using a diversified ensemble of deep models)
• Detection and intention prediction of pedestrians in zebra crossings  + (Detection and intention prediction of pedestrians in zebra crossings)
• Agent and object detection and classification in a warehouse setting  + (Detection, and classification of different agents (manual driven forklift trucks, other robots, humans) and objects (such as pallets) in a warehouse environment)
• Data sharing and 3D coordination control between couple of mobile robots and a drone  + (Develop a coordination control between a mobile robot and drone for movement and sharing data of the environment)
• Transfer Learning for Machine Diagnostics and Prognostics  + (Develop a deep adversarial neural networks (DANN) based method to predict failures and estimate machine health, under transfer learning settings.)
• A Meta-Learning Approach for Preserving and Transferring Beneficial Behaviors in Asynchronous Multi-Agent Reinforcement Learning  + (Develop a meta-learning system that preserves beneficial behaviors discovered by individual agents and adapts them for transfer across a population in asynchronous reinforcement learning.)
• Real-time Motion Analysis using Inertial Sensors  + (Develop a real-time (online) algorithm that can detect walking events from accelerometer signals.)