Bird Call Identification Using Ensemble Empirical Mode Decomposition
Shock and VibrationBirds are iconic species of the environment. Bird monitoring can be achieved by collecting recordings of the calls of wild birds and later identifying the species. A new approach suggested in this study involves the application of ensemble empirical mode
Jingxuan Liu, Hailan Chen
doaj +1 more source
Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity
Advanced Science, EarlyView.Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye +19 more
wiley +1 more source
From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit Solution. [PDF]
Sensors (Basel), 2023 Shi S, Liu Z, Deng X, Chen S, Song D.
europepmc +1 more source
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects
Advanced Science, EarlyView.Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang +9 more
wiley +1 more source
Ataxic speech disorders and Parkinson's disease diagnostics via stochastic embedding of empirical mode decomposition. [PDF]
PLoS One, 2023 Campi M, Peters GW, Toczydlowska D.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
Advanced Science, EarlyView.We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Capturing the power of seizures: an empirical mode decomposition analysis of epileptic activity in the mouse hippocampus. [PDF]
Front Mol Neurosci, 2023 Molnár L +5 more
europepmc +1 more source
Advanced Science, EarlyView.A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng +8 more
wiley +1 more source