Items where Author is "Chalmers, C"

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Number of items: 36.

Article

Odusina, T, Perkasa, P, Chalmers, C, Fergus, P, Longmore, SN and Wich, S orcid iconORCID: 0000-0003-3954-5174 (2025) Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones. Drones, 9 (7).

Sharpe, CR orcid iconORCID: 0009-0006-7892-4192, Hill, RA, Chappell, HM, Green, SE orcid iconORCID: 0000-0003-0513-8490, Holden, K, Fergus, P, Chalmers, C and Stephens, PA orcid iconORCID: 0000-0001-5849-788X (2025) Increasing citizen scientist accuracy with artificial intelligence on UK camera‐trap data. Remote Sensing in Ecology and Conservation. ISSN 2056-3485

Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Wich, SA, Longmore, SN orcid iconORCID: 0000-0001-6353-0170, Walsh, ND orcid iconORCID: 0000-0001-8120-6323, Oliver, L, Warrington, J, Quinlan, J and Appleby, K (2025) AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. Remote Sensing, 17 (5). pp. 1-21. ISSN 2072-4292

Fergus, P orcid iconORCID: 0000-0002-7070-4447, Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Matthews, N orcid iconORCID: 0000-0003-0466-5088, Nixon, S orcid iconORCID: 0000-0002-6867-287X, Burger, A orcid iconORCID: 0000-0003-4604-3930, Hartley, O orcid iconORCID: 0000-0002-2194-8613, Sutherland, C orcid iconORCID: 0000-0003-2073-1751, Lambin, X orcid iconORCID: 0000-0003-4643-2653, Longmore, S orcid iconORCID: 0000-0001-6353-0170 and Wich, S orcid iconORCID: 0000-0003-3954-5174 (2024) Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. Sensors, 24 (24). pp. 1-31. ISSN 1424-8220

Fergus, P orcid iconORCID: 0000-0002-7070-4447, Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Longmore, S orcid iconORCID: 0000-0001-6353-0170 and Wich, S orcid iconORCID: 0000-0003-3954-5174 (2024) Harnessing Artificial Intelligence for Wildlife Conservation. Conservation, 4 (4). pp. 685-702.

Kissling, WD, Evans, JC, Zilber, R, Breeze, TD, Shinneman, S, Schneider, LC, Chalmers, C, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Wich, SA and Geelen, LHWT (2024) Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site. Basic and Applied Ecology, 79. pp. 141-152. ISSN 1439-1791

Thompson, S orcid iconORCID: 0009-0004-6796-3028, Reilly, D orcid iconORCID: 0000-0002-8161-9010, Fergus, P orcid iconORCID: 0000-0002-7070-4447 and Chalmers, C orcid iconORCID: 0000-0003-0822-1150 (2023) Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. IEEE Access, 12. pp. 1076-1091.

Fergus, P orcid iconORCID: 0000-0002-7070-4447, Chalmers, C, Henderson, W, Roberts, D and Waraich, A (2023) 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, 11. pp. 65138-65152. ISSN 2169-3536

Fergus, P, Chalmers, C, Longmore, SN, Wich, S orcid iconORCID: 0000-0003-3954-5174, Warmenhove, C, Swart, J, Ngongwane, T, Burger, A, Ledgard, J and Meijaard, E (2023) Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote Sensing, 15 (11). ISSN 2072-4292

Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Wich, SA, Longmore, SN orcid iconORCID: 0000-0001-6353-0170, Walsh, ND, Stephens, PA orcid iconORCID: 0000-0001-5849-788X, Sutherland, C orcid iconORCID: 0000-0003-2073-1751, Matthews, N orcid iconORCID: 0000-0003-0466-5088, Mudde, J and Nuseibeh, A (2023) Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote Sensing, 15 (10). p. 2638.

Vélez, J, McShea, W, Shamon, H, Castiblanco-Camacho, PJ, Tabak, MA, Chalmers, C, Fergus, P and Fieberg, J (2022) An evaluation of platforms for processing camera-trap data using artificial intelligence. Methods in Ecology and Evolution, 14 (2). pp. 459-477. ISSN 2041-210X

Westworth, SOA orcid iconORCID: 0000-0002-1711-6590, Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Longmore, SN orcid iconORCID: 0000-0001-6353-0170, Piel, AK orcid iconORCID: 0000-0002-4674-537X and Wich, SA orcid iconORCID: 0000-0003-3954-5174 (2022) Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors, 22 (14). p. 5386.

Reilly, D orcid iconORCID: 0000-0002-8161-9010, Taylor, M orcid iconORCID: 0000-0002-5647-426X, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Chalmers, C orcid iconORCID: 0000-0003-0822-1150 and Thompson, S (2022) The Categorical Data Conundrum: Heuristics for Classification Problems A Case Study on Domestic Fire Injuries. IEEE Access, 10. pp. 70113-70125.

Givnan, S, Chalmers, C orcid iconORCID: 0000-0003-0822-1150, Fergus, P orcid iconORCID: 0000-0002-7070-4447, Ortega-martorell, S orcid iconORCID: 0000-0001-9927-3209 and Whalley, T (2022) Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors, 22 (9). p. 3166. ISSN 1424-8220

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

Reilly, D, Taylor, MJ, Fergus, P, Chalmers, C and Thompson, S (2021) Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access, 9. pp. 49990-50000. ISSN 2169-3536

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, Fergus, P, Curbelo Montanez, A, Sikdar, S, Ball, F and Bryoney, K (2020) 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, 10 (1). pp. 157-169. ISSN 2168-6750

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

Book Section

Fergus, P orcid iconORCID: 0000-0002-7070-4447 and Chalmers, C orcid iconORCID: 0000-0003-0822-1150 (2021) Energy Sobriety: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes: Algorithms, Technologies and Applications. Springer, pp. 21-47. ISBN 978-3-030-76476-0

Chalmers, C orcid iconORCID: 0000-0003-0822-1150 and Fergus, P orcid iconORCID: 0000-0002-7070-4447 (2021) Energy Sobriety: A Behaviour Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes Algorithms, Technologies, and Applications. Springer Nature, pp. 21-47. ISBN 9783030764777

Conference or Workshop Item

Chalmers, C, Fergus, P, Wich, SA and Longmore, SN (2021) 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).

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)

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 Sun Jul 6 04:26:15 2025 UTC.