Abstract Passive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers. However, real‐time classification remains challenging due to the high computational complexity of these models and the need ...
Lorène Jeantet +4 more
wiley +1 more source
Polarization-Regularized Adversarial Pruning for Efficient Radio Frequency Fingerprint Identification on IoT Devices. [PDF]
Zhao C, Jiang H, Yu J, Meng Z, He X.
europepmc +1 more source
Residual permutation tests for feature importance in machine learning
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley +1 more source
Multivariate control based on recurrent wavelet neural network for wastewater treatment process. [PDF]
Fang Y, Su Y, Li Y.
europepmc +1 more source
Virtual cell construction for artificial intelligence‐driven drug discovery
Cells are the fundamental units through which genetic variation and pharmacological perturbations influence disease processes and therapeutic responses. However, cellular responses to intervention are strongly shaped by biological context, creating a central challenge for drug discovery: predicting how specific perturbations reshape cellular systems ...
Yuran Jia +5 more
wiley +1 more source
HAPQ: A Hardware-Aware Pruning and Quantization Pipeline for Event-Based SNN Detection. [PDF]
Li Z, Wu J.
europepmc +1 more source
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
Early life shifts in cortical inhibitory-excitatory balance underlies sensitive periods and skill development. [PDF]
Taliaz D.
europepmc +1 more source
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source
Enigma of autism regression mechanistic pathways, clinical phenotypes, and early intervention implications. [PDF]
Al-Beltagi M.
europepmc +1 more source

