Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Fergus, Paul"'
The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing on the Conservation AI platform. Leveraging machine learning and compu
Externí odkaz:
http://arxiv.org/abs/2409.10523
Autor:
Chalmers, Carl, Fergus, Paul, Wich, Serge, Longmore, Steven N, Walsh, Naomi Davies, Stephens, Philip, Sutherland, Chris, Matthews, Naomi, Mudde, Jens, Nuseibeh, Amira
Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in reduced eco-system services, including seed dispersal, pollination an
Externí odkaz:
http://arxiv.org/abs/2305.02097
Autor:
Fergus, Paul, Chalmers, Carl, Longmore, Steven, Wich, Serge, Warmenhove, Carmen, Swart, Jonathan, Ngongwane, Thuto, Burger, André, Ledgard, Jonathan, Meijaard, Erik
The biodiversity of our planet is under threat, with approximately one million species expected to become extinct within decades. The reason; negative human actions, which include hunting, overfishing, pollution, and the conversion of land for urbani
Externí odkaz:
http://arxiv.org/abs/2304.12703
Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Health Service {\pounds}3.8 million every day. Their etiology is complex
Externí odkaz:
http://arxiv.org/abs/2203.06248
Autor:
Kissling, W. Daniel, Evans, Julian C., Zilber, Rotem, Breeze, Tom D., Shinneman, Stacy, Schneider, Lindy C., Chalmers, Carl, Fergus, Paul, Wich, Serge, Geelen, Luc H.W.T.
Publikováno v:
In Basic and Applied Ecology September 2024 79:141-152
Autor:
Vélez, Juliana, Castiblanco-Camacho, Paula J., Tabak, Michael A., Chalmers, Carl, Fergus, Paul, Fieberg, John
Camera traps have transformed how ecologists study wildlife species distributions, activity patterns, and interspecific interactions. Although camera traps provide a cost-effective method for monitoring species, the time required for data processing
Externí odkaz:
http://arxiv.org/abs/2202.02283
Rotary machine breakdown detection systems are outdated and dependent upon routine testing to discover faults. This is costly and often reactive in nature. Real-time monitoring offers a solution for detecting faults without the need for manual observ
Externí odkaz:
http://arxiv.org/abs/2110.01447
The study in this paper presents a one-dimensional convolutional neural network (1DCNN) model, designed for the automated detection of obstructive Sleep Apnoea (OSA) captured from single-channel electrocardiogram (ECG) signals. The system provides me
Externí odkaz:
http://arxiv.org/abs/2002.00833
Autor:
Montañez, Casimiro Aday Curbelo, Fergus, Paul, Chalmers, Carl, Malim, Nurul Ahamed Hassain, Abdulaimma, Basma, Reilly, Denis, Falciani, Francesco
One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational methods to identify statistically significant Single Nucleotide Polymorphisms (SNPs). Genome-wide association studies (
Externí odkaz:
http://arxiv.org/abs/1908.10166
Autor:
Fergus, Paul, Chalmers, Carl, Montanez, Casimiro Curbelo, Reilly, Denis, Lisboa, Paulo, Pineles, Beth
Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the wellbeing of the foetus during antenatal care. This approach has raised
Externí odkaz:
http://arxiv.org/abs/1908.02338