Results 171 to 180 of about 4,682,633 (203)

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Multi-strategy quantum-inspired dung beetle optimizer for kernel extreme learning machine in slope safety factor prediction. [PDF]

Sci Rep
Sun Z, Hai M, Wang M, Guo Y, Zhou B, Zhang Q.   +5 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation. [PDF]

Sci Rep
Zeb O, Rehman A, Sultan N, Sherazi HI, Alburidy A, Alrumayh ON.   +5 more
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications. [PDF]

Chem Rev
Zhu K, Trizio E, Zhang J, Hu R, Jiang L, Hou T, Bonati L.   +6 more
europepmc   +1 more source

Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation

Advanced Intelligent Systems, EarlyView.
 Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang, Jiaqi Li, Tao Jing, Yang Yu, Yang Zhang, Xingpeng Yan   +5 more
wiley   +1 more source

Causal factors and configuration paths for chemical occupational accidents: grounded theory and fsQCA analysis of 154 cases in China. [PDF]

Front Public Health
Wang Y, Zheng C, Wang L.
europepmc   +1 more source

High-resolution photovoltaic power forecasting using machine learning models under seasonal and stress conditions. [PDF]

Sci Rep
Mansour HSE, Mohamed AS, Farh HMH, Ibrahim AW, Al-Shaalan AM, Kunya AB, Elnashar HS.   +6 more
europepmc   +1 more source

Fast 3D-MRSI using sparse acquisition and 4D compressed sensing reconstruction. [PDF]

MAGMA
Wang JX.
europepmc   +1 more source