Results 171 to 180 of about 82,380 (218)

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

The chromosomal origin of replication as the basis for the spatio-temporal biology of bacteria. [PDF]

Front Microbiol
Norris V, Herrick J, Kohiyama M.
europepmc   +1 more source

The effects of moose and pine density on browsing damage in Swedish pine forests

Wildlife Biology, EarlyView.
Moose Alces alces is a culturally and economically important game species in Sweden, but their browsing on regenerating Scots pine trees Pinus sylvestris often causes extensive damage to the production and quality of timber. Forest and wildlife managers are faced with the dilemma of how to reduce damage to timber trees while also supporting moose ...
Oskar Franklin, Christer Kalén, Annika M. Felton, Märtha Wallgren   +3 more
wiley   +1 more source

Shifting attitudes toward brown bears in Bulgaria: a longitudinal and regional analysis

Wildlife Biology, EarlyView.
Longitudinal research on public attitudes toward large carnivores is scarce, limiting our understanding of how human–wildlife coexistence evolves. This study aimed to bridge this gap by replicating a 2012 survey on attitudes toward brown bears Ursus arctos in four bear‐populated regions of Bulgaria.
Nikola Ganchev, Vladimir Todorov, Sabrina Dressel   +2 more
wiley   +1 more source

An adaptive multi-scale spatio-temporal graph network for robust MOOC dropout prediction. [PDF]

Sci Rep
Duan Y, Chen X.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Small-Target Ship Detection with Joint Spatio-Temporal Features Across Multiple Frames. [PDF]

Sensors (Basel)
Qian Y, Hu Z, Zhang B, Yang W, Chen Q.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia. [PDF]

J Neurosci
Kries J, Vandermosten M, Gwilliams L.
europepmc   +1 more source

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source