STELLAR‐CB: Synthetic Temporal LSTM for Livestock Activity Recognition—Cow Behaviour
This study introduces a novel framework combining LSTM networks with SMOTE to address class imbalance in precision livestock farming. It improves the detection of rare behaviours in livestock, achieving state‐of‐the‐art performance while reducing computational overhead, offering a practical, breed‐agnostic solution for enhancing automated behaviour ...
Ghufran Ahmed +9 more
wiley +1 more source
A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach. [PDF]
Liu CF, Ciou WS, Chen PT, Du YC.
europepmc +1 more source
Abstract Passive acoustic recording is a cost‐effective method for monitoring vocal animals. Within this field, there is an increasing focus on automated detection algorithms for counting calls and estimating call density (in space and time). For accurate interpretation of such results, it is important to understand and correct biases introduced by ...
Brian S. Miller +7 more
wiley +1 more source
Navigating Knowledge: Effects of State Curiosity on Children's Word Learning and Information Seeking
ABSTRACT Early learning takes place within complex, multimodal environments where curiosity plays a critical role in guiding exploratory behaviors and supporting cognitive development. While trait curiosity shapes children's early learning experiences, state curiosity is context‐dependent fostering early learning, in‐part, through information seeking ...
Anna Caunt +3 more
wiley +1 more source
Speech recognition using ad-hoc microphone arrays
While close talking microphones give the best signal quality and produce the highest accuracy from current Automatic Speech Recognition (ASR) systems, the speech signal enhanced by microphone array has been shown to be an effective alternative in a noisy
Himawan, Ivan
core
Design of MEMS Microphone Array Integrated System for Pipeline Leakage Detection. [PDF]
Wang K, Yang Y, Liu D, Song D, Zhao X.
europepmc +1 more source
Building centaur responders: is emergency management ready for artificial intelligence?
Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
Acoustic Source Drone Detection System Using Tetrahedral Microphone Array and Deep Neural Networks. [PDF]
Ghenescu MT, Ghenescu V, Carata SV.
europepmc +1 more source
Three‐Dimensional Correlated Random Walks for Animal Movement and Habitat Selection
Step selection functions (SSFs) are popular models of animal movement and habitat selection. However, SSFs have only been formulated in two dimensions, which limits our understanding of species that swim or fly. In this paper, we present fully three‐dimensional SSFs, suitable for positioning data collected as easting, northing, and altitude/depth.
Natasha Klappstein +3 more
wiley +1 more source
Investigation of aircraft wake vortices with phased microphone arrays
Michel, U. +3 more
core +1 more source

