John Daniels - researchr alias

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Viewing Publication 1 - 23 from 23

2025

Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature reviewBernard Hernandez, Damien K. Ming, Timothy M. Rawson, William J. Bolton, Richard Wilson, Vasikasin V., John Daniels, Jesus Rodriguez-Manzano, Davies F. J., Pantelis Georgiou, Alison H. Holmes. artmed, 160:103008, 2025. [doi]

2024

Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoringDamien K. Ming, John Daniels, Ho Q. Chanh, Stefan Karolcík, Bernard Hernandez, Vasileios Manginas, Van Hao Nguyen, Quang Huy Nguyen, Tu Qui Phan, Thi Hue Tai Luong, Huynh Trung Trieu, Alison Helen Holmes, Vinh Tho Phan, Pantelis Georgiou, Sophie Yacoub. npjdm, 7(1), 2024. [doi]

2023

IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge ComputingTaiyu Zhu, Lei Kuang, John Daniels, Pau Herrero, Kezhi Li, Pantelis Georgiou. iotj, 10(5):3706-3719, March 1 2023. [doi]

2022

A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas SystemsJohn Daniels, Pau Herrero, Pantelis Georgiou. sensors, 22(2):466, 2022. [doi]

A Multitask Learning Approach to Personalized Blood Glucose PredictionJohn Daniels, Pau Herrero, Pantelis Georgiou. titb, 26(1):436-445, 2022. [doi]

2021

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AILei Kuang, Taiyu Zhu, Kezhi Li, John Daniels, Pau Herrero, Pantelis Georgiou. biocas 2021: 1 [doi]

2020

Personalised Glucose Prediction via Deep Multitask NetworksJohn Daniels, Pau Herrero, Pantelis Georgiou. ecai 2020: 110-114 [doi]

Convolutional Recurrent Neural Networks for Glucose PredictionKezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou. titb, 24(2):603-613, 2020. [doi]

2019

A Data-Driven Detection System for Predicting Stress Levels from Autonomic SignalsJohn Daniels, Pantelis Georgiou. biocas 2019: 1-4 [doi]

2018

A Portable Low-Power Platform for Ambulatory Closed Loop Control of Blood Glucose in Type 1 DiabetesMohamed El-Sharkawy, John Daniels, Peter Pesl, Monika Reddy, Nick Oliver, Pau Herrero, Pantelis Georgiou. iscas 2018: 1-5 [doi]

2006

Java:::TM::: on the bare metal of wireless sensor devices: the squawk Java virtual machineDoug Simon, Cristina Cifuentes, Dave Cleal, John Daniels, Derek White. vee 2006: 78-88 [doi]

Programming the world with sun SPOTsRandall B. Smith, Bernard Horan, John Daniels, Dave Cleal. OOPSLA 2006: 706-707 [doi]

2002

Modeling with a Sense of PurposeJohn Daniels. IEEE Software, 19(1):8-10, 2002. [doi]

2000

1998

Getting value for money from software architecture: a goldfish bowlJohn Daniels. OOPSLA 1998: [doi]

1995

1994

Object CommunicationSteve Cook, John Daniels. joop, 7(5):14-23, 1994.

Lets get FormalSteve Cook, John Daniels. joop, 7(4):22, 1994.

Software isn t the Real WorldSteve Cook, John Daniels. joop, 7(2):22-29, 1994.

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