Results 1 to 10 of about 2,695 (135)

Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

IET Networks, EarlyView., 2022
Abstract Sensor technology advancements have provided a viable solution to fight COVID and to develop healthcare systems based on Internet of Things (IoTs). In this study, image processing and Artificial Intelligence (AI) are used to improve the IoT framework.
Noor M Allayla, Farah Nazar Ibraheem, Refed Adnan Jaleel   +2 more
wiley   +1 more source

Change in singing behavior of humpback whales caused by shipping noise [PDF]

PLoS ONE, 2018
Koki Tsujii, Tomonari Akamatsu, Yoko Mitani   +2 more
exaly   +2 more sources

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Disrupting the herd: Recreational boating alters group dispersion within beluga whale herds

The Journal of Wildlife Management, EarlyView.
Recreational boating in beluga habitat remains poorly documented. Using land‐based observations in the Saguenay Fjord (Quebec, Canada), we show that increasing recreational boat numbers are associated with a higher probability of changes in beluga herd dispersion, suggesting behavioral disturbance and the need to integrate recreational boating into ...
Camille Kowalski, Angélique Dupuch, Jean‐François Sénécal, Jérôme Dupras, Clément Chion   +4 more
wiley   +1 more source

Digital surveillance of animals and nature recovery

People and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Animal translations: AI and the intelligibility of non‐human worlds Traduire l'animal : l'IA et l'intelligibilité des mondes non humains

Journal of the Royal Anthropological Institute, EarlyView.
Amid the general sense of worry that large language models will soon drown out human voices, some researchers are optimistic that machine learning will allow humans to listen to and understand animal voices to an unprecedented extent. As part of a broader project aimed at interspecies communication, a loosely connected set of animal behaviourists, AI ...
Courtney Handman
wiley   +1 more source

Modeling Skin Mark Temporal Variations to Estimate the Sex of Delphinids with Low Sexual Dimorphism: Implications for Management and Conservation

Integrative Zoology, EarlyView.
This work aimed to apply the principles of skin mark analysis to a cetacean species to build a sex‐discrimination model exclusively based on photographic material. Relevant differences between sexes emerged in markings, with males presenting more social, aggression‐related, and fishing‐related marks overall, and a stronger tendency of mark accumulation
Alice Turchi, Giulia Pedrazzi, Alex Mattiussi, Maria S. Labriola, Daniele Petrone, Sofia Rinalduzzi, Giancarlo Giacomini, Daniela Silvia Pace   +7 more
wiley   +1 more source

Comparative review of entanglement risk assessments for cetacean conservation and management

Conservation Biology, EarlyView.
Abstract Cetacean entanglement in fishing gear remains a major global threat that exposes persistent gaps in how fisheries management frameworks manage risk to nontarget species. Ecological risk assessment (ERA) offers a structured way to link exposure and consequences to an explicit statement of risk, but entanglement risk assessments vary widely in ...
Laura Joan Feyrer, Clair Evers, Hilary Moors‐Murphy   +2 more
wiley   +1 more source