AIMC Topic: Entropy

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Short-term power load forecasting in China: A Bi-SATCN neural network model based on VMD-SE.

PloS one Sep 30, 2024
This study focuses on improving short-term power load forecasting, a critical aspect of power system planning, control, and operation, especially within the context of China's "dual-carbon" policy. The integration of renewable energy under this polic...
China Neural Networks, Computer Entropy Forecasting Renewable Energy
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Machine learning of the prime distribution.

PloS one Sep 27, 2024
In the present work we use maximum entropy methods to derive several theorems in probabilistic number theory, including a version of the Hardy-Ramanujan Theorem. We also provide a theoretical argument explaining the experimental observations of Y.-H....
Machine Learning Algorithms Models, Theoretical Entropy
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Thermodynamics-inspired explanations of artificial intelligence.

Nature communications Sep 9, 2024
In recent years, predictive machine learning models have gained prominence across various scientific domains. However, their black-box nature necessitates establishing trust in them before accepting their predictions as accurate. One promising strate...
Algorithms Thermodynamics Entropy Humans Artificial Intelligence Machine Learning
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Assessing Consciousness in Patients With Disorders of Consciousness Using a Musical Stimulation Paradigm and Verifiable Criteria.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 20, 2024
Numerous studies have shown that musical stimulation can activate corresponding functional brain areas. Electroencephalogram (EEG) activity during musical stimulation can be used to assess the consciousness states of patients with disorders of consci...
Music Female Persistent Vegetative State Humans Aged Consciousness Disorders Electroencephalography Young Adult Healthy Volunteers Acoustic Stimulation Adult Neural Networks, Computer Consciousness Entropy Male Algorithms Middle Aged
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Automatic diagnosis of epileptic seizures using entropy-based features and multimodel deep learning approaches.

Medical engineering & physics Jul 5, 2024
Epilepsy is one of the most common brain diseases, characterised by repeated seizures that occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a loss of mobility and balance, which can be harmful or even fatal...
Diagnosis, Computer-Assisted Deep Learning Child, Preschool Child Signal Processing, Computer-Assisted Support Vector Machine Automation Electroencephalography Entropy Epilepsy Humans Seizures Male
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Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 13, 2024
Multimodal physiological signals play a pivotal role in drivers' perception of work stress. However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection chal...
Humans Algorithms Male Cognition Electroencephalography Supervised Machine Learning Uncertainty Automobile Driving Linear Models Attention Entropy Heart Rate
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Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
Recently, multi-resolution pyramid-based techniques have emerged as the prevailing research approach for image super-resolution. However, these methods typically rely on a single mode of information transmission between levels. In our approach, a wav...
Entropy Humans Image Processing, Computer-Assisted Neural Networks, Computer Wavelet Analysis Algorithms
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A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion.

Neural networks : the official journal of the International Neural Network Society May 24, 2024
In large-scale power systems, accurately detecting and diagnosing the type of faults when they occur in the grid is a challenging problem. The classification performance of most existing grid fault diagnosis methods depends on the richness and reliab...
Neural Networks, Computer Algorithms Deep Learning Humans Fuzzy Logic Attention Entropy
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Emotion recognition with reduced channels using CWT based EEG feature representation and a CNN classifier.

Biomedical physics & engineering express Apr 30, 2024
Although emotion recognition has been studied for decades, a more accurate classification method that requires less computing is still needed. At present, in many studies, EEG features are extracted from all channels to recognize emotional states, ho...
Arousal Humans Neural Networks, Computer Algorithms Emotions Signal Processing, Computer-Assisted Electroencephalography Wavelet Analysis Entropy
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Entropy-Weighted Numerical Gradient Optimization Spiking Neural System for Biped Robot Control.

International journal of neural systems Apr 13, 2024
The optimization of robot controller parameters is a crucial task for enhancing robot performance, yet it often presents challenges due to the complexity of multi-objective, multi-dimensional multi-parameter optimization. This paper introduces a nove...
Neurons Entropy Humans Neural Networks, Computer Algorithms Computer Simulation Robotics
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