Techno-economic assessment of offshore hydrogen production in the Dutch North Sea: Comparative analysis of offshore hydrogen and electrical infrastructure with green hydrogen import using standardized breakdown and open-source cost model

Manufacturing Laminate-Free PV Modules at Large Scale

Storage Standards and Solutions, Data Storage, Sharing, and Structuring in Digital Health: A Brazilian Case Study

Compact Housing for Incremental Growth: The K206 RDP Project in Alexandra, Johannesburg

Subsidy allocation for residential building energy retrofit: A perspective of families' incomes

Data Handling: Good Practices in the Context of Naturalistic Driving Studies

Distributed Adaptive Synchronization in Euler Lagrange Networks with Uncertain Interconnections

Model Reference Adaptive Stabilizing Control with Application to Leaderless Consensus

Refining the survey model of the LADM ISO 19152–2: Land registration

The Security Evaluation of an Efficient Lightweight AES Accelerator †

Design of the new structure and capabilities of LADM edition II including 3D aspects

Implementation of OGC SensorThings API standard for the integration of dynamic sensor data in a 3D urban digital twin

RAESCY: A power side channel assessment framework for pre and post-silicon evaluation

Pleasures and terrors of domestic comfort

Securing an Efficient Lightweight AES Accelerator

Exploring Consensus to Develop Global Standards in Response to Sea Level Rise (SLR): Evaluating the Standardisation Scope of SLR Adaptation Using the Delphi Technique

Improving the data quality checking process during the design phase: Development of a design-integrated data checking and reporting tool

The Cost of Risk Aversion: Eliciting risk preferences and re-evaluating flood protection standards in the Netherlands

Framework for standardized design of a biorefinery: Implementing a standardized refinery modification design considering differences in local and global effectiveness & the presence of heterogenous stakeholders

Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data