AIMC Topic: Entropy

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Entropy-Based Emotion Recognition from Multichannel EEG Signals Using Artificial Neural Network.

Computational intelligence and neuroscience Oct 13, 2022
Humans experience a variety of emotions throughout the course of their daily lives, including happiness, sadness, and rage. As a result, an effective emotion identification system is essential for electroencephalography (EEG) data to accurately refle...
Electroencephalography Neural Networks, Computer Humans Receptor for Advanced Glycation End Products Emotions Entropy
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Research on the Guidance of Youth Labor Education Based on the "Combination of Education and Production Labor" Program Based on the Deep Learning Model.

Computational intelligence and neuroscience Oct 11, 2022
At present, there is a lack of research on Marx's idea of "combining education and productive labor" and its guiding significance for youth labor education, and no effective teaching model has been formed. In response to this problem, this study prop...
Deep Learning Supervised Machine Learning Algorithms Entropy
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Molecular partition coefficient from machine learning with polarization and entropy embedded atom-centered symmetry functions.

Physical chemistry chemical physics : PCCP Oct 5, 2022
Efficient prediction of the partition coefficient (log ) between polar and non-polar phases could shorten the cycle of drug and materials design. In this work, a descriptor, named 〈 - ACSFs〉, is proposed to take the explicit polarization effects in t...
Molecular Conformation Entropy Solvents Carboxylic Acids Machine Learning
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Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.

IEEE transactions on neural networks and learning systems Oct 5, 2022
Inferring brain-effective connectivity networks from neuroimaging data has become a very hot topic in neuroinformatics and bioinformatics. In recent years, the search methods based on Bayesian network score have been greatly developed and become an e...
Time Factors Magnetic Resonance Imaging Brain Neural Networks, Computer Nerve Net Entropy Bayes Theorem Brain Mapping
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Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction.

PloS one Sep 30, 2022
Table tennis is important and challenging project for robotics research, and table tennis robotics receives a lot of attention from academics. Trajectory tracking and prediction of table tennis is an important technology for table tennis robots, and ...
Tennis Entropy Computer Simulation Algorithms Robotics
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Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach.

PloS one Sep 22, 2022
Sustainability, as a trend of social development and the embodiment of corporate social responsibility, has begun to receive more attention. To achieve this goal, sustainable supplier selection (SSS) and order allocation (OA) are seen as the crucial ...
Uncertainty Decision Making Linguistics Fuzzy Logic Entropy
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Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method.

Environmental science and pollution research international Sep 19, 2022
Fastest growing population, rapid urbanization, and growth in the disciplines of science and technology cause continually development in the amount and diversity of solid waste. In modern world, evaluation of an appropriate solid waste disposal metho...
Entropy Uncertainty Solid Waste Refuse Disposal Decision Making Fuzzy Logic
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Structural plasticity driven by task performance leads to criticality signatures in neuromorphic oscillator networks.

Scientific reports Sep 12, 2022
Oscillator networks rapidly become one of the promising vehicles for energy-efficient computing due to their intrinsic parallelism of execution. The criticality property of the oscillator-based networks is regarded to be essential for performing comp...
Task Performance and Analysis Entropy Neural Networks, Computer
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Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2022
The Rutting prediction model is an essential element of efficient pavement management systems. Accuracy of commonly used predictive model necessitates knowledge of the input parameters that was incorporated and local calibration of the model coeffici...
Generalization, Psychological Knowledge Entropy Calibration Neural Networks, Computer
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Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation.

Computers in biology and medicine Aug 24, 2022
In medical scenarios, obtaining pixel-level annotations for medical images is expensive and time-consuming, even if considering its importance for automating segmentation tasks. Due to the scarcity of labels in the training phase, semi-supervised met...
Entropy Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Uncertainty
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