Tallinn University of Technology

Instability-Aware Digital Twins for Robust Co-Optimization of Operational Carbon Emissions, Thermal Comfort, and Structural Serviceability Reliability under Uncertainty in Smart Buildings

Modern smart buildings operate under continuously varying climatic, occupancy, equipment, grid-carbon, material, degradation, and sensing conditions, making nominal optimization insufficient for reliable operational decision-making. This study develops and numerically evaluates a...

Construction of personal health knowledge graphs for clinical data harmonization in breast cancer

Integrating heterogeneous personal health data and maintaining clinical registries for breast cancer management is labor-intensive. This study presents an AI-powered virtual assistant transforming identifiable breast cancer patient data into interoperable personal health knowledg...

Effect of Heat treatment parameters on the tribological performance of LM26/graphite/fly ash hybrid aluminium matrix composites using Taguchi-TOPSIS optimization

Hybrid aluminium matrix composites (HAMMCs) are of interest for lightweight components requiring improved resistance to wear and friction. The present study investigates the effects of solution treatment temperature, holding time and cooling method on the tribological behaviour o...

Ultrahigh strength enabled by dual-scale L12 precipitation and back-stress strengthening in an LPBF-fabricated (CoCrNi)94Al3Ti3 medium-entropy alloy

Simultaneously achieving ultrahigh strength and useful tensile ductility in precipitation-strengthened medium-entropy alloys requires control over not only precipitate characteristics but also the recovery and recrystallization of metastable additively manufactured microstructure...

NAD-CD: Addressing concept drift in network IDS alert classification for Security Operations Centers

A Network Intrusion Detection System (network IDS or NIDS) is a widely used technology to enhance an organization’s security posture. A NIDS monitors the organizational network for cyber attacks, malware activity, and other malicious network traffic, raising alerts upon detecting...

Enhancing security in LLM applications: a performance evaluation of early detection systems

Abstract Prompt injection (PI) attacks threaten novel software applications, which have LLM-based functionality. Prompt leakage, a variant of prompt injection, constitutes a serious confidentiality risk to those applications. Existing defenses against PI attacks currently cannot...

Simulation-based assessment of remote pilotage feasibility in the Baltic Sea: insights from the Väinameri fairway and Irbe Strait

Advances in digital navigation and autonomous technologies have accelerated interest in remote pilotage as a means of improving maritime safety, efficiency, and environmental performance. However, the operational and regulatory conditions required to enable such systems remain un...

Financial bureaucracy featuring innovation bureaucracy – insights from diverging pathways in Estonia and Lithuania

The paper investigates the integration of innovation-centric characteristics within traditional financial bureaucracies as they confront the rise of the FinTech sector. From the financial governance perspective, FinTech acts as a significant disruptive force, challenging the esta...

Symbolic Derivatives: Regularity and �-Regularity Modulo Theories

Symbolic derivatives support lazy unfolding of formulas in a logic over words, such as extended regular expressions, into symbolic automata . Symbolic automata are finite state automata that support potentially infinite alphabets, such as the set of rational numbers, generally ap...

Demystifying consumers' climate change engagement: a knowledge–attitude–practice perspective

Purpose Despite growing interest in climate change engagement, its nature and dynamics remain poorly understood. Addressing this gap, we conceptualise consumers' climate change engagement (CCCE) and explore its role in enhancing sustainable consumption. Design/methodology/approac...

Numerical investigation of transom and double interceptor systems on a high-speed planing craft in regular waves with experimental validation

High-speed planing craft (HSPC) operating in waves can experience severe vertical motions and impact accelerations, potentially affecting operational performance and occupant safety. This study investigates the effects of a transom interceptor system (TIS) and a double intercepto...

An Open, Versioned Database of Deep Eutectic Solvent Thermophysical Properties

Abstract Deep eutectic solvents (DESs) are tunable solvents that have applications in separations, electrochemistry, biomass processing, and materials science. The thermophysical property data of DESs are, however, distributed throughout the literature and usually reported in inc...

Datasets and data spaces in the autonomous driving domain: insights and trends

The rapid evolution of autonomous driving technologies is deeply reliant on high-quality datasets and robust data management solutions that cannot be achieved by a single actor working in isolation. This paper examines the growing role of datasets and data spaces in the mobility...

The integration of self-reproduction, cell cycle and cell load—analysis of growth space and boundaries

Abstract One of the most significant achievements in describing and understanding the cell cycle in bacteria was the development of the Cooper-Helmstetter-Donachie theory. But this theory and very successful constraint-based metabolic network models have existed in parallel: the...

Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport

This repository provides the complete analysis code and supporting datasets for the manuscript “Decomposing Daily Baltic Sea Thermal-Anomaly Evolution into Rearrangement and Residual Change Using Unbalanced Optimal Transport.” It includes the reproducible Python analysis workflow...

Self-organizing map–derived regimes as a basis for basin-integrated diagnostics of Baltic Sea hydrographic change (1993–2023)

Abstract The Baltic Sea has experienced significant hydrographic changes over the past three decades, including long-term warming, increasing salinity, and intensified vertical stratification. While these trends are well established, their internal structure and temporal evolutio...

Mapping Boundary Conditions and Bottlenecks of Learning Analytics Dashboard Acceptance: A Cross-Group and Cross-Design Comparison

Drawing on extended Technology Acceptance Model, this study argues that learner's Learning Analytics Dashboards (LADs) data literacy and LAD cognitive complexity are boundary conditions that shape learner LAD acceptance. Two learner groups, one with LAD data literacy and another...

Misquoted No More: Securely Extracting F* Programs with IO

Shallow embeddings that use monads to represent effects are popular in proof-oriented languages because they are convenient for formal verification. Once shallowly embedded programs are verified, they are often extracted to mainstream languages like OCaml or C and linked into lar...

High current speed events in a harbor channel driven by resonant sub-hourly sea level dynamics: an example from Varna, Black Sea

Abstract. Current and sea-level observations in the 2.4-km-long, 300-m-wide channel between Varna Lake and the Black Sea, conducted by three novel Hydromast stations with a 1-minute resolution, revealed that moderate sub-hourly dynamics were occasionally interrupted by high-ampli...

Photovoltaic systems in the Nordics: A systematic review of techno-economic and life-cycle sustainability assessments

The rapid global deployment of photovoltaic (PV) technologies has increased the need for comprehensive evaluations of their technical performance, economic viability, and environmental compatibility. At high-latitudes, these assessments are essential due to low solar elevation an...