IEEE

Data-Driven Electrolyzer Modeling: Adaptive Model Considering Operating Conditions using K-means Clustering

Abstract: This paper proposes a data-driven method for modeling electrolyzers at the cell level that takes into account operating conditions such as pressure, temperature, and current. To achieve this ...
Inside Housing

Report says new DHS should explore whether landlords include real-time data about the condition of their homes

Researchers believe the large-scale adoption of such technology is key to delivering landlords’ strategic objectives, and has the power to improve living conditions for tenants by detecting faults and ...
IEEE

Tensor Kernel Learning for Classification of Alzheimer’s Conditions using Multimodal Data

Abstract: Early, timely, and accurate assessment of Alzheimer’s disease (AD), particularly at its earlier stage – mild cognitive impairment (MCI) –, is central to detecting, managing, and potentially ...
The Lancet

Longitudinal data on advanced cutaneous squamous cell carcinoma from the Dutch Keratinocyte Cancer Collaborative (DKCC): a nationwide real-world database study

eDepartment of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands fDepartment of Medical Oncology, University Medical Center Groningen, Groningen, ...