Results 191 to 200 of about 65,415 (265)

Gonorrhea cluster detection in Manitoba, Canada: Spatial, temporal, and spatio-temporal analysis. [PDF]

Infect Dis Model
Abed A, Torabi M, Mashreghi Z.
europepmc   +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

Genetic Spatio-Temporal Analysis of Hepatitis D Virus Infection in Western Brazilian Amazon. [PDF]

Viruses
Roca TP, Queiroz JAS, Passos-Silva AM, Araújo A, Lago BV, Mello FCA, Salcedo JMV, Vieira D, Villar LM.   +8 more
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

Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project. [PDF]

Ecol Evol
Mehmood K, Anees SA, Muhammad S, Shahzad F, Liu Q, Khan WR, Shrahili M, Ansari MJ, Dube T.   +8 more
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

Spatio-temporal analysis of human brucellosis distribution in Neyshabur, Iran from 2015 to 2022, a cross-sectional study. [PDF]

PLoS One
Fathabadi A, Khorashadizadeh F, Darrudi R, Maroosi M.   +3 more
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

Late-life suicide trends in selected major countries worldwide in 1990-2022: a spatio-temporal analysis from the WHO mortality database. [PDF]

EClinicalMedicine
Bertuccio P, Mosconi G, Amerio A, Grande E, La Vecchia C, Costanza A, Vigezzi GP, Aguglia A, Berardelli I, Serafini G, Amore M, Pompili M, Odone A.   +12 more
europepmc   +1 more source

Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang, Shiyu Liu, Peifeng Jiang, Hong Liu, Runwei Ding   +4 more
wiley   +1 more source