Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|December 18, 2017
Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography tracesPaul Fergus, Malarvizhi Selvaraj, Carl Chalmers
Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association|March 14, 2013
Monitoring and reducing sedentary behavior in the elderly with the aid of human digital memoriesChelsea Dobbins, Paul Fergus, Gareth Stratton, et al.
Sensors (Basel, Switzerland)|May 20, 2022
Anomaly Detection Using Autoencoder Reconstruction upon Industrial MotorsSean Givnan, Carl Chalmers, Paul Fergus, et al.
Biomedical Engineering Online|July 7, 2017
Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithmsPaul Fergus, Abir Hussain, Dhiya Al-Jumeily, et al.
Biomed Research International|February 25, 2015
Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniquesPaul Fergus, David Hignett, Abir Hussain, et al.
Thescientificworldjournal|February 18, 2015
A novel method of early diagnosis of Alzheimer's disease based on EEG signalsDhiya Al-Jumeily, Shamaila Iram, Francois-Benois Vialatte, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 6, 2018
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American WomenPaul Fergus, Casimiro Curbelo Montanez, Basma Abdulaimma, et al.
Plos One|November 9, 2013
Prediction of preterm deliveries from EHG signals using machine learningPaul Fergus, Pauline Cheung, Abir Hussain, et al.
Sensors (Basel, Switzerland)|April 19, 2019
A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie AntennaSamuel Ryecroft, Andrew Shaw, Paul Fergus, et al.
Sensors (Basel, Switzerland)|July 2, 2021
An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for DetectionKatie E Doull, Carl Chalmers, Paul Fergus, et al.
Pageof 2