Results 121 to 130 of about 55,369 (264)

Self-Supervised Learning for Vehicle Noise Prediction With Limited Labeled Data

IEEE Access
With advancements in artificial intelligence, its application for developing quieter vehicles is increasingly researched in the automotive industry.
Sunhyeok Hwang, Seoung Bum Kim
doaj   +1 more source

Detecting repeating earthquakes on the San Andreas Fault with unsupervised machine-learning of spectrograms (supplementary material)

, 2023
Theresa Sawi, F. Waldhauser, B. K. Holtzman, Nathan Groebner   +3 more
openalex   +1 more source

Timing is everything: The effect of early‐life seizures on developing neuronal circuits subserving spatial memory

Epilepsia Open, EarlyView.
Abstract Spatial memory, the aspect of memory involving encoding and retrieval of information regarding one's environment and spatial orientation, is a complex biological function incorporating multiple neuronal networks. Hippocampus‐dependent spatial memory is not innate and emerges during development in both humans and rodents.
Gregory L. Holmes
wiley   +1 more source

Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram\n Generation with Adversarial Style Combination for Speech Synthesis [PDF]

, 2020
Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji‐Hoon Kim, Seong‐Whan Lee   +4 more
openalex   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Multi-instrument Music Synthesis with Spectrogram Diffusion

, 2022
Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Joshua Gardner, Ethan Manilow, Jesse Engel   +6 more
openalex   +1 more source

TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty [PDF]

, 2022
Xingchen Song, Di Wu, Zhiyong Wu, Binbin Zhang, Yuekai Zhang, Zhendong Peng, Wenpeng Li, Fuping Pan, Changbao Zhu   +8 more
openalex   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Micro-Doppler Signal Features of Idling Vehicle Vibrations: Dependence on Gear Engagements and Occupancy

Signals
This study investigates the use of a custom-built 10 GHz continuous wave micro-Doppler radar system to analyze external vibrations of idling vehicles under various conditions.
Ram M. Narayanan, Benjamin D. Simone, Daniel K. Watson, Karl M. Reichard, Kyle A. Gallagher   +4 more
doaj   +1 more source

Impact of spectrograms on the classification of wheezes and crackles in an educational setting. An interrater study [PDF]

, 2019
Juan Carlos Aviles Solis, I. Storvoll, Sophie Vanbelle, Hasse Melbye   +3 more
openalex   +1 more source