Browse data: StudentProject
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A
- A Decentralized IoT Infrastructure: A comparative study
- A Reliable IoT Messaging Protocol Based on MQTT Standard
- A decision support system for reducing false alarms in ICU
- A study about the future and usability of Bio-electronic “smart” implants in humans
- AI Enabled Service Market Logistics
- AI R&D at King
- AI for sustainability management and reporting
- AI-driven Automotive Service Market Logistics
- ActNormal
- Action Library for Robot Execution
- Activity monitoring for AAL
- Acumen Robot Model Series
- Adapt LoCoMotif to forklift data
- Adaptive Obfuscation Techniques for Privacy- Preserving Machine Learning in IoT Edge De- vices
- Adaptive warning field system
- Advanced AI based anonymization of traffic video data
- Agent and object detection and classification in a warehouse setting
- Air Surveillance for Airport Safety Using Autonomous Vehicles
- Algorithm development for realtime route planning
- Analysing Engine Performance based on Vehicle Data
- Analysing comments (NLP) for Malware Analysis
- Analysis of Ambient Sound in HINT
- Analysis of Multi-Lingual Vehicle Service Histories
- Analysis of industrial time series
- Analysis of multi-machine/multi-sensor data
- Analysis of ocular image synthesis for cross-spectral recognition
- Analyzing Human Motion using Inertial Sensors
- Analyzing Privacy Policies (NLP) -- Malware Analysis
- Analyzing white blood cells in blood samples using deep learning techniques
- Anomaly Detection for Predictive Maintenance with Elvaco
- Anomaly Detection for Time Series using Diffusion Approaches
- Anomaly Detection of the Activities of the Elderly Living in the Smart Home
- Anomaly Detection on Truck Histograms
- Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain
- Anomaly detection from IoT Time Series @AlfaLaval
- Anomaly detection in district heating data - with the Elvaco company
- Anomaly ranking of District Heating Substations
- Article Identification for Inventory List in a Warehouse Environment
- Assistance-seeking strategy for a flying robot during a healthcare emergency response
- Automated Inference regarding Goals in Elite Football Data
- Automatic Generation of Descriptive Features for Predicting Vehicle Faults
- Automatic Generation of Realtime Machine Learning Architectures
- Automatic Idea Detection for controlling Healthcare-associated infections
- Automatic Idea Detection from social media for Controlling and Preventing Healthcare-Associated Infections (with funding opportunity)
- Automatic Machine Learning (AUTO-AUTO-ENCODER!)
- Autonomous flying drone for vehicle classification
- Autonomously discovering district heating control strategy used by buildings
B
- BD prediction
- Barcode mapping in warehouses
- Be The Change: Online Video Selection for Climate Change Education
- Be The Change: Video Analysis for Environmental Sustainability
- Behaviour Recognition for automated cars
- Behaviour modeling and classification of vehicles at a roundabout
- Beyond 5G baseband processing on a multicore architecture
- Biases in electronic health records
- Blockchain for polls and elections
- Body posture alignment feedback using xAI
- Bowling: human motion quantification + ball quantification
- Browser Extensions Updates
- Building a Knowledge-based AI Framework for Mobility
C
- CACC
- Chess playing humanoid robot by vision
- Chess playing humanoid robots by vision
- Classifying heart diseases based on heart random numbers
- Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration
- Clustering of battery usage pattern for Electric buses
- Collaborative Filtering Recommendation System Location Content-based
- Comparative study of an automated testing coverage for a TCP/IP stack implementation
- Comprehending low-dimensional manifolds of temporal data from the home
- Concept Re-identification to Explain Online Continual Learning
- Conditional GAN for better embedding and generation of medical codes
- Connected Safety Vest for Roadworkers
- Consensus clustering for categorizing orthogonal vehicle operations
- Constrained dynamic path planning for truck and trailer
- Contactless monitoring of blood pressure using photoplethysmography
- Convolutional Neural Network (CNN) features behaviour in the context of textures
- Convolutional Neural Network (CNN) responses when the number of classes increase
- CoopSim
- Courteous robot guide for visitors to an intelligent home
- Cross-Spectrum Ocular Identity Recognition via Deep Learning
D
D cont.
- Data mining for fault diagnostics in cyberphysical systems
- Data sharing and 3D coordination control between couple of mobile robots and a drone
- Deep Active Learning for LiDAR Point Cloud Segmentation
- Deep Decision Forest
- Deep Graph Networks for Future Graph Prediction
- Deep Networks for Semantic Scene Understanding
- Deep Recurrent Networks for Machine Prognostics
- Deep clustering for vehicle operation type
- Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance
- Deep learning and Back Order Solutions
- Deep neural network optimization for path prediction in vessels!
- Deep stacked ensemble
- Deepfake Detection
- Detecting Faults and Estimating Missing Values in Smart Meter Data
- Detecting Points of Interest for Robotic First Aid
- Detecting changes in causal relations
- Detecting different types of machines based on usage
- Detection and intention prediction of pedestrians in zebra crossings
- Detection of smart cars cyber attacks
- Developing a device for rapid water quality assessment
- Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction
- Development of surveillance methods for sterilizers
- Digit recognition by lip-movements and time recursive Neural Networks
- Digital Twin - AFRY
- Driver Prediction for Automative Industry
- Dynamic Churning-Based Logic Locking for Enhanced Hardware Security
- Dynamic Objects Detection and Tracking
E
- EXIST: sEXism Identification in Social neTworks
- Effecient implementation of DL models on embedded platforms
- Electrical stimulator design and development
- Embedding DNN models on mobile robots for object detection
- Embeded wearable sensors application at the HINT
- Emergency vehicle movement prediction
- Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems
- Estimating Architectural Properties of Buildings Based on Heating Data
- Ethical hacking of car-cloud communication
- Evaluating the Digital Tools for Promoting Sustainable Food Consumption
- Evaluating the Effects of Social Media on Educational Sustainability in Sweden
- Evaluation of JAX in AI/ML software engineering
- Evaluation of Open Source Robot Simulators for Smart Mobility Applications
- Evaluation of captchas.
- Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment
- Evolving Kolmogorov-Arnold Networks
- Explainable AI and poverty prediction
- Explainable AI by Training Introspection
- Explainable AI for predictive maintenance in collaboration with Volvo
- Explainable Anomaly Detection
- Explainable Decision Forest
- Exploration and Mapping of Warehouse Using Quadrotor Helicopters
- Exploring, modelling and optimization of home care regions
F
- F1tenth
- FLBench: A Comprehensive Experimental Evaluation of Federated Learning Frameworks
- Face and eye categorization and detection
- Fair Conformal Prediction
- Fair representation learning of electronic health records
- Fault detection using acoustic signals through anomaly detection
- Feature-wise normalization for 3D medical images
- Federated Learning Aggregation Strategies by Weight Exploration
- Federated learning in automotive industry
- Finding patterns/motifs in time series data
- FirstResponse
- Forecast energy consumption in buildings to help Mestro customers save energy
- Forecasting Industrial IoT Time Series @AlfaLaval
- Forklift Trucks Usage Analysis
- Foundation Models for Time Series Analysis
- Fuzz testing of network protocols
G
- Gait analysis using wearable sensors in Parkinson's disease
- Generating synthetic time series data in case of data scarcity
- Generative Approach for Multivariate Signals
- GenericMasterThesisDesc
- Graph Neural Networks for Multivariate Time Series Data Analysis
- Graph Neural Networks for Traffic Flow Forecasting
- Graph Neural Networks for cardiovascular disease
- Graphical Traffic Scenario Editor
H
- Hardware Security Enhancement in Cyber-Physical Systems using Deep Learning-based Anomaly Detection
- Hide-and-Seek Privacy Challenge (NeurIPS 2020)
- High Precision Power Use Measurement Device for Raspberry PI
- Human Motion Analysis using Inertial Sensors
- Human Value Detection
- Human ground robot interaction
- Human identification by handwriting of identity text
- Human-in-the-loop Discovery of Interpretable Concepts in Deep Learning Models
- Hydro Power Station
I
I cont.
- Identify boundary or, corner test cases for AD/ADAS functions using ML in MIL and HIL environment
- Identity verification of humans performing physical activities
- Ideology and Power Identification in Parliamentary Debates
- Image Retrieval for Arguments
- Improved face tracking driven by optical flow
- Improved networks for cloud-car communication
- Improving MEDication Adherence through Person Centered Care and Adaptive Interventions
- Improving MEDication Adherence through Person Centered Care and Adaptive Interventions iMedA
- Improving Time-series Generative Adversarial Networks (GANs) for Generating Electronic Health Records (EHRs)
- Incorporate behaviour modelling into AGV safety performance stack
- Indoor localization for ground vehicles
- Integrating a new rigid-body dynamics model library with an existing whole-body controller
- Intelligent claim Process with Volvia
- Intelligible patient representation for outcome prediction of congestive heart failure patients
- Interactive Anomaly Detection
- Intrusion detection and prevention for IIoT using Ensemble Deep Network
- Investigating Robustness of DNNs
- Investigating depression signs among older adults using Swedish National Registry Data
- Investigation of spread spectrum techniques to reduce the electromagnetic interference in switch mode power supply
- IoT Forensics
J
K
L
- Label and Barcode Detection and Location in Large Field of View
- Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation
- LiDAR Denoising
- Lighting up the bicycle roads with drones
M
- MMultitask Learning on Vehicle Data
- Machine Learning and LeadTime Prediction
- Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses
- Machine Learning-based optimization of physical activity
- Mapping SFO mitigation/Linearization algorithms, trade-off between memory and computation on GPU
- Merging Clothoids with B-Splines
- Meta-learning for Multivariate Signals
- Meta-learning for evaluation and implementation of predictive maintenance solution
- Mining For Meanings In Robot Maps
- Mixed-Reality Robot Platform
- Mobile App Vulnerable Road Users
- Mobile Social Robot for Healthcare
- Model Heterogeneity in Federated Learning
- Model Volvo Truck Lifetime Repair History
- Model behaviour of agents in a warehouse setting
- Model-Based Testing of Zero-Copy Protocols
- Modeling and Exploration of Self Rated Health Data using Machine Learning
- Modeling patient trajectories using different representation learning techniques
- Modelling Health Recommender System using Hybrid Techniques
- Modelling behavior and interaction of road users in transportation systems
- Modelling vehicles'/drivers' behaviour using LVD
- Multi-Sensor Fusion for Semantic Scene Understanding
- Multi-modal Weather type Classifier
- Multi-modal risk prediction models on osteoporotic fracture, myocaridal infarction and stroke
- Multi-robot coordination in a warehouse
- Multi-robot trajectory adaptation using a state-time elastic band approach
- MultiScale Microscopy Detailed
- Multiband RF Rectifier for Self-Powered IoT Devices
- Multitask Learning in Autonomous Driving
- Multitask learning on vehicle data
- Multivariate Time Series Analysis with Irregularly Sampled Data
- Music style transfer
N
- NOMAD
- Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning
- Network-assisted positioning in confined spaces using 802.11 Access Layer information
- No Signal Left to Chance
- Non-contact estimation of blood pressure using photoplethysmography
O
- Object Detection for Autonomous Vehicles
- Object Movement Prediction for Autonomous Cars
- Object Tracking and Anticipation
- Obstacle Identification from 3D Data for AGVs in a Warehouse Environment
- On control of robots in remote workspaces using lasers
- On detecting deviations by autonomously discovering district heating control strategy used by buildings
- On the explainability of Graph Neural Networks: an application in credit scoring
- One dimensional frequency decomposition of oriented local images applied to fingerprints
- Open and Realistic smart City Activities Simulator (ORCAS)
- OpticalFlowFeaturesForEventDetection
- OpticalFlowForHMI/
- Optimisation Algorithm for Feature enginnering
- Optimisation in Heavy Duty Vehicles Configuration
- Optimising Energy Consumption for Ferries in Collaboration with Cetasol
- Optimization of a 5G algorithm by parallelization
- Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol)
P