Development of the Machine Learning-Based Approach to Access Occupancy Information Through Indoor CO2 Data: for Demand-Driven Building Heating Energy Management

Automatic Quantification of Beach Occupation Using Oversegmentation and Machine Learning

A machine learning approach for optimisation in railway planning

Improving RCPSP algorithms using machine learning methods

Predicting vulnerable files by using machine learning method

Trace metal pollution in the Scheldt estuary - a statistical approach to estimate the metal partitioning coefficient for a suite of metals

Machine learning for knowledge-based dose-volume histogram prediction in prostate cancer

Estimatic

Fatigue Assessment of Offshore Wind Turbines Using Measurements of Individual Turbines and Machine Learning Techniques

Organizational Readiness for Machine Learning: Exploring the key readiness factors for business adoption of machine learning

Low-level radar data based road user detection

A Machine Learning Approach to Evaluating Aircraft Deviations from Planned Routes

Automated offline detection of disruptions using smart card data: A case study of the metro network of Washington DC

Automatic cell identification in single-cell RNA-sequencing data

Automatic Failure Diagnosis for Flow Control Valves

Absence seizure prediction using recurrent neural networks

Height Inference for all USA Building Footprints in the Absence of Height Data

Detection of cup anemometer anomalies using machine learning

Investigating the performance of Deep Material Networks in accelerating multiscale modelling of laminated composites

On the Sequential Data Models in Side-Channel Analysis: RNN, LSTM, GRU Hyperparameters, Autoencoder and Embedding Layer