Items where Author is "Chalmers, C"
Article
Odusina, T, Perkasa, P, Chalmers, C, Fergus, P, Longmore, SN and Wich, S ORCID: 0000-0003-3954-5174
(2025)
Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones.
Drones, 9 (7).
Sharpe, CR ORCID: 0009-0006-7892-4192, Hill, RA, Chappell, HM, Green, SE
ORCID: 0000-0003-0513-8490, Holden, K, Fergus, P, Chalmers, C and Stephens, PA
ORCID: 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: 0000-0003-0822-1150, Fergus, P
ORCID: 0000-0002-7070-4447, Wich, SA, Longmore, SN
ORCID: 0000-0001-6353-0170, Walsh, ND
ORCID: 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: 0000-0002-7070-4447, Chalmers, C
ORCID: 0000-0003-0822-1150, Matthews, N
ORCID: 0000-0003-0466-5088, Nixon, S
ORCID: 0000-0002-6867-287X, Burger, A
ORCID: 0000-0003-4604-3930, Hartley, O
ORCID: 0000-0002-2194-8613, Sutherland, C
ORCID: 0000-0003-2073-1751, Lambin, X
ORCID: 0000-0003-4643-2653, Longmore, S
ORCID: 0000-0001-6353-0170 and Wich, S
ORCID: 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: 0000-0002-7070-4447, Chalmers, C
ORCID: 0000-0003-0822-1150, Longmore, S
ORCID: 0000-0001-6353-0170 and Wich, S
ORCID: 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: 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: 0009-0004-6796-3028, Reilly, D
ORCID: 0000-0002-8161-9010, Fergus, P
ORCID: 0000-0002-7070-4447 and Chalmers, C
ORCID: 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: 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: 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: 0000-0003-0822-1150, Fergus, P
ORCID: 0000-0002-7070-4447, Wich, SA, Longmore, SN
ORCID: 0000-0001-6353-0170, Walsh, ND, Stephens, PA
ORCID: 0000-0001-5849-788X, Sutherland, C
ORCID: 0000-0003-2073-1751, Matthews, N
ORCID: 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: 0000-0002-1711-6590, Chalmers, C
ORCID: 0000-0003-0822-1150, Fergus, P
ORCID: 0000-0002-7070-4447, Longmore, SN
ORCID: 0000-0001-6353-0170, Piel, AK
ORCID: 0000-0002-4674-537X and Wich, SA
ORCID: 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: 0000-0002-8161-9010, Taylor, M
ORCID: 0000-0002-5647-426X, Fergus, P
ORCID: 0000-0002-7070-4447, Chalmers, C
ORCID: 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: 0000-0003-0822-1150, Fergus, P
ORCID: 0000-0002-7070-4447, Ortega-martorell, S
ORCID: 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: 0000-0002-7070-4447 and Chalmers, C
ORCID: 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: 0000-0003-0822-1150 and Fergus, P
ORCID: 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.