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Arrangementer - Side 2

Tid og sted: –, Room 301, Department of Technology Systems

Incremental Capacity Analysis of Silicon-Containing Anodes in the SALAMANDER HEU Project - A Study of Battery Degradation Through Interpretation of dQ/dV Signatures

Tid og sted: –, Room 105, Department of Technology Systems

Not All Frontiers Are Equal - Comparing Frontier Selection Strategies Using the Leo Rover

Tid og sted: –, Room 214, Department of Technology Systems

End-of-life Electric Vehicle Batteries as an Energy Storage Solution in the Norwegian Power Grid - Techno-economic assessment for hydropower and wind power plants

Tid og sted: –, Room 214, Department of Technology Systems

Revisiting Elite Talent Identification in Football: A Supervised Machine Learning Perspective on Youth International Participation - Insights From Youth National Team Data Using Explainable AI

Tid og sted: –, Room 105, Department of Technology Systems

From Wind Farm to Hybrid Power Plant - A Technical Retrofit Case Study of PV Integration at Lindesnes, Norway

Tid og sted: –, Room 105, Department of Technology Systems

Understanding The Electric Bicycle Battery Value Chain: Challenges for Repair and Circularity in the Norwegian Context - A thematic analysis of the electric bicycle battery value chain in Norway.

Tid og sted: –, Room 214, Department of Technology Systems

AI-Based Recognition and Analysis of Strength Training Exercises

Tid og sted: –, Room 101, Department of Technology Systems

The Impact of Co-located Green BESS on Fair Value Pricing and Risk Mitigation for Onshore Wind Baseload PPAs in Spain.

Tid og sted: –, Room 214, Department of Technology Systems

Machine Learning for Sleep Stage Classification: A Comparative Study of PSG Biosignals and Actigraphy

Tid og sted: –, Room 402, Department of Technology Systems

Modelling realistic 2050 scenarios in multiple reference Norwegian distribution gridsand optimizing VRES allocation

Tid og sted: –, Room 401, Department of Technology Systems

Echocardiography Guidance

Tid og sted: –, Room 105, Department of Technology Systems

Cybersecurity Risks of TPV

Tid og sted: –, Room 101, Department of Technology Systems

Model-Free Trajectory Optimisation for Aerial Swarms Using Decentralised DeePC 

Tid og sted: –, Room 101, Department of Technology Systems

From forecasting to anomaly detection: Probabilistic machine learning for time series in radon monitoring

Tid og sted: –, Rom ND (4456), IFI - OJD

Design and Evaluation of an Ethically Constrained Non-Web Service Scanning Pipeline for Norwegian Public IPv4 Space

Tid og sted: –, Room 402, Department of Technology Systems

Fleksibilitet og lokal energiproduksjon i borettslag

Tid og sted: –, Room 101, Department of Technology Systems

Regime-Stratified Evaluation of Sequential Deep Learning Architectures on Equity Markets

Tid og sted: –, Rom ND (4456), IFI - OJD

UiO SecurityLab Robot: Real-Time Scanning of Web Servers in Norwegian IP Ranges - Development of a security-focused Internet scanner for monitoring technologies and detecting vulnerabilities within the Norwegian IP space.

Tid og sted: –, Room 402, Department of Technology Systems

Cyber-Physical Security Aspects of Non-Firm Grid Connections - A Threat-Informed Risk Analysis of SCADA-Based Control Systems

Tid og sted: –, Room 402, Department of Technology Systems

Assessing Resolution Limits for Non-Intrusive Load Monitoring on Smart-Meter Data - Evaluating Machine Learning Disaggregation of Residential Heat Pumps Across Smart-Meter Resolution Limits

Tid og sted: –, Room 214, Department of Technology Systems

Modeling, Control, and Experimental Evaluation of a Thrust-Vector-Controlled Rocket-like Drone - Design and Testing of a Small-Scale Propeller-Driven Rocket-Inspired Drone

Tid og sted: –, Rom 214, ITS, Gunnar Randers vei 19

Coordination of a Quadrotor Swarm: H2-Optimal Communication Graph Design

Tid og sted: –, Room 214, Department of Technology Systems

Optimal Stock Trading Strategies - A Forecasting and Control problem

Tid og sted: –, Room 214, Department of Technology Systems

Model Predictive Control for Energy Management in Buildings Connected to District Heating and the Electricity Grid

Tid og sted: –, Room 214, Department of Technology Systems

Hourly Rate Reconciliation for Subsea Production Systems Using a Kalman Filter