Results 121 to 130 of about 21,278 (261)

Effects of complex soundscapes on the occurrence of Anaxipha pallidula in isolated green spaces in Tokyo

Wildlife Biology, EarlyView.
Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality.
Hiroki Mori, Takeshi Osawa
wiley   +1 more source

Scalable Data Model for Traffic Congestion Avoidance in a Vehicle to Cloud Infrastructure. [PDF]

Sensors (Basel), 2021
Stan I, Suciu V, Potolea R.
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

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Application of Deep Learning in Virtual Power Plants—A Review

Energy Internet, EarlyView.
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu, Zezhen Zhang, Yang Gao, Xiao Hu, Ying Cai, Yunqi Wang, Qin Wang, Qian Ai   +7 more
wiley   +1 more source

Traffic Congestion Analysis Based on a Web-GIS and Data Mining of Traffic Events from Twitter. [PDF]

Sensors (Basel), 2021
Salazar-Carrillo J, Torres-Ruiz M, Davis CA, Quintero R, Moreno-Ibarra M, Guzmán G.   +5 more
europepmc   +1 more source

Vog: Using Volcanic Eruptions to Estimate the Health Costs of Particulates

The Economic Journal, EarlyView., 2018
The negative consequences of long‐term exposure to particulate pollution are well established but a number of studies find no effect of short‐term exposure on health outcomes. The high correlation of industrial pollutants complicates the estimation of the impact of individual pollutants on health.
Timothy J. Halliday, John Lynham, Áureo de Paula   +2 more
wiley   +1 more source

Spatio-temporal variations of traffic congestion under work from home (WFH) arrangements: Lessons learned from COVID-19. [PDF]

Cities, 2022
Loo BPY, Huang Z.
europepmc   +1 more source

Effect of traffic congestion on mental health in Riyadh, Saudi Arabia. [PDF]

J Family Med Prim Care
Abdulrahman KAB, Al-Mohsen AA, Al Qahtani AY, Alkhashan SH, Giraud FA, Alquayed FS, Alanazi YA.   +6 more
europepmc   +1 more source

Self-Reported Impact of Road Traffic Congestion on Persons Commuting to and From Work. [PDF]

Cureus
Bahall M, Chaitram A, Deonarine A, Diptee A, Mieres A, Moosay A, Ramsahai A, Sagam A, Legall G.   +8 more
europepmc   +1 more source