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Advanced artificial neural network classification for detecting preterm births using EHG records

Neurocomputing (Amsterdam), 2016-05, Vol.188, p.42-49

2016

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A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna

Sensors (Basel, Switzerland), 2019-04, Vol.19 (8), p.1813

2019

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Prediction of preterm deliveries from EHG signals using machine learning

PloS one, 2013-10, Vol.8 (10), p.e77154

2013

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Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3166

2022

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Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques

BioMed research international, 2015-01, Vol.2015, p.986736-17

2015

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Applied Deep Learning: Tools, Techniques, and Implementation

1, 2022

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Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network

IEEE access, 2024, Vol.12, p.1076-1091

2024

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An evaluation of platforms for processing camera‐trap data using artificial intelligence

Methods in ecology and evolution, 2023-02, Vol.14 (2), p.459-477

2023

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An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.4074

2021

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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms

Biomedical engineering online, 2017-07, Vol.16 (1), p.89-89, Article 89

2017

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Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance

IEEE access, 2023, Vol.11, p.65138-65152

2023

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The Categorical Data Conundrum: Heuristics for Classification Problems-A Case Study on Domestic Fire Injuries

IEEE access, 2022, Vol.10, p.70113-70125

2022

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Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site

Basic and applied ecology, 2024-09, Vol.79, p.141-152

2024

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Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning

Sensors (Basel, Switzerland), 2022-07, Vol.22 (14), p.5386

2022

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Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (11), p.2730

2023

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Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (10), p.2638

2023

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Misper-Bayes: A Bayesian Network Model for Missing Person Investigations

IEEE access, 2021, Vol.9, p.49990-50000

2021

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A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals

TheScientificWorld, 2015-01, Vol.2015, p.931387-11

2015

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Applied Deep Learning: Tools, Techniques, and Implementation

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SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity

IEEE access, 2020, Vol.8, p.112379-112392

2020

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Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces

Computers in biology and medicine, 2018-02, Vol.93, p.7-16

2018

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An open learning system for special needs education

Knowledge management & e-learning, 2016-03, Vol.8 (1), p.68-85

2016

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Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm

Intelligent Computing Theory, p.206-212

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Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure

Behaviour & information technology, 2019-11, Vol.38 (11), p.1154-1166

2019

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Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models

Neurocomputing (Amsterdam), 2017-03, Vol.228, p.154-164

2017

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Advanced artificial neural network classification for detecting preterm births using EHG records

A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna

Prediction of preterm deliveries from EHG signals using machine learning

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors

Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques

Applied Deep Learning: Tools, Techniques, and Implementation

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network

An evaluation of platforms for processing camera‐trap data using artificial intelligence

An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection

Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms

Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance

The Categorical Data Conundrum: Heuristics for Classification Problems-A Case Study on Domestic Fire Injuries

Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site

Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning

Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps

Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning

Misper-Bayes: A Bayesian Network Model for Missing Person Investigations

A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals

Applied Deep Learning: Tools, Techniques, and Implementation

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity

Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces

An open learning system for special needs education

Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm

Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure

Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models

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