AIMC Topic: Noise

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Delay-distribution-dependent H state estimation for delayed neural networks with (x,v)-dependent noises and fading channels.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2016
This paper deals with the H state estimation problem for a class of discrete-time neural networks with stochastic delays subject to state- and disturbance-dependent noises (also called (x,v)-dependent noises) and fading channels. The time-varying sto...
Computer Simulation Time Factors Models, Theoretical Neural Networks, Computer Algorithms Probability Noise Neurons
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Emergence of low noise frustrated states in E/I balanced neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2016
We study emerging phenomena in binary neural networks where, with a probability c synaptic intensities are chosen according with a Hebbian prescription, and with probability (1-c) there is an extra random contribution to synaptic weights. This new te...
Random Allocation Cerebral Cortex Nerve Net Memory Monte Carlo Method Neurons Probability Neural Networks, Computer Synapses Animals Noise
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Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.

Artificial intelligence in medicine Jun 8, 2016
BACKGROUND AND AIMS: Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, wit...
Breast Neoplasms Noise Pathology, Surgical Data Mining Machine Learning Software Humans Algorithms
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RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners.

IEEE transactions on neural networks and learning systems Sep 22, 2015
AdaBoost has attracted much attention in the machine learning community because of its excellent performance in combining weak classifiers into strong classifiers. However, AdaBoost tends to overfit to the noisy data in many applications. Accordingly...
Algorithms Neural Networks, Computer Noise Machine Learning
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Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

IEEE transactions on neural networks and learning systems Apr 7, 2015
An usual task in large data set analysis is searching for an appropriate data representation in a space of fewer dimensions. One of the most efficient methods to solve this task is factor analysis. In this paper, we compare seven methods for Boolean ...
Electronic Data Processing Humans Factor Analysis, Statistical Neural Networks, Computer Bayes Theorem Animals Algorithms Models, Neurological Sensitivity and Specificity Noise
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Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques.

The Science of the total environment Jan 20, 2015
This study focuses on correlations between total number concentrations, road traffic emissions and noise levels in an urban area in the southwest of Spain during the winter and summer of 2009. The high temporal correlation between sound pressure leve...
Environmental Monitoring Fuzzy Logic Spain Air Pollutants Air Pollution Particulate Matter Noise Data Mining
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Inhibition facilitates direction selectivity in a noisy cortical environment.

Journal of computational neuroscience Nov 18, 2014
In a broad class of models, direction selectivity in primary visual cortical neurons arises from the linear summation of spatially offset and temporally lagged inputs combined with a spike threshold. Here, we characterize the robustness of this class...
Models, Neurological Noise Cerebral Cortex Photic Stimulation Neurons Neural Networks, Computer Algorithms Neural Inhibition
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Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.

Nature communications May 8, 2025
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control. However, conv...
Voice Humans Acoustics Neural Networks, Computer Man-Machine Systems Deep Learning Noise Signal Processing, Computer-Assisted
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[Neural network for auditory speech enhancement featuring feedback-driven attention and lateral inhibition].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
The processing mechanism of the human brain for speech information is a significant source of inspiration for the study of speech enhancement technology. Attention and lateral inhibition are key mechanisms in auditory information processing that can ...
Humans Neural Networks, Computer Noise Attention Speech Perception Feedback Speech
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Audio-visual source separation with localization and individual control.

PloS one Jan 1, 2025
The growing reliance on video conferencing software brings significant benefits but also introduces challenges, particularly in managing audio quality. In multi-participant settings, ambient noise and interruptions can hinder speaker recognition and ...
Humans Neural Networks, Computer Noise Voice Videoconferencing Deep Learning Speech
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