This project implements a machine learning system to predict microclimate conditions in greenhouse environments. The system analyzes environmental sensor data to provide accurate predictions for ...
Abstract: Influenced by the prevalence of mobile edge computing (MEC), massive consumption data is generated from customer applications. Tensor-based data representation and fusion methods are ...
In our annual Data Privacy Day LinkedIn Live we looked ahead to what's shaping privacy and AI governance in 2026. This year's theme: Predictions across AI governance ...
3 Freeman Hospital and Newcastle University, Newcastle upon Tyne, UK Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or ...
Advancements in spatial perturbation transcriptomics (SPT) have revolutionized our understanding of cellular behavior in native tissue contexts by integrating spatial and perturbation data. However, ...
Abstract: The efficacy of feedforward neural networks in analyzing high-dimensional tabular data is limited, especially in the presence of data scarcity, a substantial challenge in microbiome research ...
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