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Paving the way for the integration of synthesis, assessment, and design tools within an ontological framework
Paving the way for the integration of synthesis, assessment, and design tools within an ontological framework
Machine learning and digital twins
Machine learning and digital twins: monitoring and control for dynamic security in power systems
EdgeBOL
EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI
NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis
NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis
Recent advancements of landslide hydrology
Recent advancements of landslide hydrology
Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates
Machine Learning for Detecting Virus Infection Hotspots Via Wastewater-Based Epidemiology
Machine Learning for Detecting Virus Infection Hotspots Via Wastewater-Based Epidemiology: The Case of SARS-CoV-2 RNA
Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering
Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering
Value-Based Hybrid Intelligence
Value-Based Hybrid Intelligence
Contestable Camera Cars
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
Obukhov Length Estimation From Spaceborne Radars
Obukhov Length Estimation From Spaceborne Radars
Hydrogen Storage on Porous Carbon Adsorbents
Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model
The Human Activity Radar Challenge
The Human Activity Radar Challenge: Benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University
High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning
Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents
Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents
Radar Sensing in Healthcare
Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring
Accelerating Machine Learning Queries with Linear Algebra Query Processing
Accelerating Machine Learning Queries with Linear Algebra Query Processing
Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data
Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data
Continuous Human Activity Classification with Radar Point Clouds and Point Transformer Networks
Continuous Human Activity Classification with Radar Point Clouds and Point Transformer Networks
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