Urban bats show dietary flexibility in aquatic arthropod consumption at urban and rural waterbodies
Wildlife Biology, EarlyView.Urban waterbodies are critical for biodiversity and provide feeding grounds for insectivorous bats. Yet, how urbanisation affects bats' food choices at urban waterbodies and the role of emergent aquatic arthropods remain poorly understood. We compared the diet of three urban bat species – Vespadelus vulturnus, Chalinolobus gouldii,and Myotis macropus –
Tanja M. Straka +7 more
wiley +1 more source
Nodes localization method based on the improved PSO algorithm without time synchronization
, 2015 Location information in the application of underwater wireless sensor networks (UWSNs) plays a very important role. According to the features of underwater sensor networks, the ranging technology based on Round-trip Time of Flight (RTOF) without time ...
Jixing Liang +5 more
core +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
A Novel Compression Algorithm for Spatiotemporal Data Based on PSO and GA
, 2012 Positioning applications have recently become extremely popular thanks to recent advances in telecommunications and geopositioning reporting devices (GPS, PDA etc.). It is thus to be expected that all these devices will start to generate an unprecedented
Wang L(王亮) +3 more
core
A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm. [PDF]
Sensors (Basel), 2022 Song L +5 more
europepmc +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li +5 more
wiley +1 more source
, 2007 Aiming at improving the convergence performance of conventional BP neural network, this paper presents an improved PSO algorithm instead of gradient descent method to optimize the weights and thresholds of BP network.
Hu JT(胡静涛), Hu W(胡为)
core
A Multi-Strategy Adaptive Comprehensive Learning PSO Algorithm and Its Application. [PDF]
Entropy (Basel), 2022 Zhang Y, Song X.
europepmc +1 more source
Developing a carpet cloak operating for a wide range of incident angles using a deep neural network and PSO algorithm. [PDF]
Sci Rep, 2023 Fallah A, Kalhor A, Yousefi L.
europepmc +1 more source