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Items where Author is "Chalmers, C"

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Number of items: 19.

Article

Piel, AK, Crunchant, AS, Knot, IE, Chalmers, C, Fergus, P, Mulero-Pázmány, M and Wich, SA (2021) Noninvasive Technologies for Primate Conservation in the 21st Century. International Journal of Primatology. ISSN 0164-0291

Doull, KE, Chalmers, C, Fergus, P, Longmore, SN, Piel, AK and Wich, SA (2021) An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors, 21 (12). ISSN 1424-8220

Chalmers, C, Fergus, P, Curbelo Montañez, CA, Longmore, SN and Wich, SA (2021) Video Analysis for the Detection of Animals Using Convolutional Neural Networks and Consumer-Grade Drones. Journal of Unmanned Vehicle Systems. ISSN 2291-3467

Fergus, P, Chalmers, C, Montañez, CC, Reilly, D, Lisboa, P and Pineles, B (2020) Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Transactions on Emerging Topics in Computational Intelligence. ISSN 2471-285X

Montenaz, C, Fergus, P, Chalmers, C, Malim, N, Abdulaimma, B, Reilly, D and falciani, F (2020) SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access. ISSN 2169-3536

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2019) Identifying Behavioural Changes for Health Monitoring Applications using the Advanced Metering Infrastructure. Behaviour and Information Technology. ISSN 1362-3001

Al-Khafajiy, M, Baker, T, Chalmers, C, Asim, M, Kolivand, H, Fahim, M and Waraich, A (2019) Remote Health Monitoring of Elderly Through Wearable Sensors. Multimedia Tools and Applications. ISSN 1380-7501

Fergus, P, Montanez, C, Abdulaimma, B, Lisboa, P, Chalmers, C and Pineless, B (2018) Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

Fergus, P, Selvaraj, M and Chalmers, C (2017) Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces. Computers in Biology and Medicine, 93 (1). pp. 7-16. ISSN 0010-4825

Chalmers, C, Fergus, P, Curbelo Montanez, A, Sikdar, S, Ball, F and Bryoney, K Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Transactions on Emerging Topics in Computing. ISSN 2168-6750 (Accepted)

Conference or Workshop Item

Curbelo Montañez, CA, Fergus, P, Montañez, AC, Hussain, A, Al-Jumeily, D and Chalmers, C (2018) Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. In: 2018 International Joint Conference on Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 8th - 13th July 2018, Rio de Janeiro, Brazil).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) Smart Monitoring: An Intelligent System to Facilitate Health Care across an Ageing Population. In: EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence . pp. 34-39. (The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 October 2016 - 12 October 2016, Venice, Italy).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) A Smart Health Monitoring Technology. In: Lecture Notes in Computer Science: Intelligent Computing Theories and Application , 9771. pp. 832-842. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2015) Profiling Users in the Smart Grid. In: Emerging 2015: The Seventh International Conference on Emerging Neworks and Systems Intelligence . (EMERGING 2015: Seventh International Conference on Emerging Networks and Systems Intelliegence, 19th - 24th July 2015, Nice, France).

Chalmers, C, Hurst, W, Fergus, P and MacKay, M (2015) Smart Meter Profiling for Health Applications. In: 2015 International Joint Conference on Neural Networks (IJCNN) . (2015 International Joint Conference on Neural Networks (IJCNN), 12th - 17th Jul 2015, Killarney, Ireland).

Thompson, S, Fergus, P, Chalmers, C and Reilly, D Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. In: IEEE Explore . (IEEE World Congress on Computational Intelligence (WCCI) 2020, 19-24th July 2020, Virtual Online Conference). (Accepted)

Chalmers, C, Fergus, P, Wich, SA and Longmore, SN Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. In: International Joint Conference on Neural Networks . (International Joint Conference on Neural Networks Virtual Event, 18-22 July 2021, Virtual Event). (Accepted)

Mwansa, M, Hurst, W, Chalmers, C, Shen, Y and Boddy, A A Study into Smart Grid Consumer-User Profiling for Security Applications. In: The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization CLOUD COMPUTING 2018, 18 February 2018 - 22 February 2018, Barcelona. (Unpublished)

Thesis

Chalmers, C (2017) Adaptive Health Monitoring Using Aggregated Energy Readings from Smart Meters. Doctoral thesis, Liverpool John Moores University.

This list was generated on Tue Nov 30 22:41:05 2021 UTC.