AIMC Topic: Entropy

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Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples.

IEEE transactions on neural networks and learning systems Jun 1, 2022
In this article, we argue that the unsatisfactory out-of-distribution (OOD) detection performance of neural networks is mainly due to the SoftMax loss anisotropy and propensity to produce low entropy probability distributions in disagreement with the...
Neural Networks, Computer Entropy Upper Extremity
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AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm.

Computational intelligence and neuroscience May 20, 2022
Aiming at the selection research gap of AG600 amphibious aircraft for salvage of life at sea, the selection index system of AG600 has been established, and an interval intuitionistic fuzzy selection decision model based on fuzzy entropy and score fun...
Algorithms Fuzzy Logic Aircraft Entropy
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On the Possibility of Designing an Advanced Sensor with Particle Sizing Using Dynamic Light Scattering Time Series Spectral Entropy and Artificial Neural Network.

Sensors (Basel, Switzerland) May 19, 2022
Dynamic Light Scattering is a well-established technique used in particle sizing. An alternative procedure for Dynamic Light Scattering time series processing based on spectral entropy computation and Artificial Neural Networks is described. An error...
Neural Networks, Computer Time Factors Particle Size Entropy Dynamic Light Scattering
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Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach.

Sensors (Basel, Switzerland) May 16, 2022
Roads are a strategic asset of a country and are of great importance for the movement of passengers and goods. Increasing traffic volume and load, together with the aging of roads, creates various types of anomalies on the road surface. This work pro...
Machine Learning Automobiles Accelerometry Entropy Fourier Analysis
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The research for PLTS normalization method based on minimum entropy change and its application in MAGDM problem.

PloS one May 6, 2022
In the problem of multiple attributes group decision making (MAGDM), the probabilistic linguistic term sets (PLTSs) is an useful tool which can be more flexible and accurate to express the evaluation information of decision makers (DMs). However, due...
Fuzzy Logic Decision Making Entropy Linguistics Uncertainty
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Reliable CA-(Q)SAR generation based on entropy weight optimized by grid search and correction factors.

Computers in biology and medicine Apr 30, 2022
Chromosome aberration (CA) is a serious genotoxicity of a compound, leading to carcinogenicity and developmental side effects. In the present manuscript, we developed a QSAR model for CA prediction using artificial intelligence methodologies. The rel...
Humans Artificial Intelligence Algorithms Quantitative Structure-Activity Relationship Chromosome Aberrations Entropy
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Packaging Big Data Visualization Based on Computational Intelligence Information Design.

Computational intelligence and neuroscience Apr 23, 2022
A method based on a computational intelligence information model is proposed to study the visualization of large data packages. Since the CAIM algorithm only considers the distribution of the largest number of classes in an interval, it offers an opt...
Artificial Intelligence Algorithms Big Data Entropy Data Visualization
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Accurate Prediction of Aqueous Free Solvation Energies Using 3D Atomic Feature-Based Graph Neural Network with Transfer Learning.

Journal of chemical information and modeling Apr 14, 2022
Graph neural network (GNN)-based deep learning (DL) models have been widely implemented to predict the experimental aqueous solvation free energy, while its prediction accuracy has reached a plateau partly due to the scarcity of available experimenta...
Neural Networks, Computer Machine Learning Water Molecular Dynamics Simulation Entropy
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Emotion Recognition from Physiological Channels Using Graph Neural Network.

Sensors (Basel, Switzerland) Apr 13, 2022
In recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presente...
Neural Networks, Computer Emotions Entropy Physical Therapy Modalities Recognition, Psychology
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Semi-Supervised Learning for Defect Segmentation with Autoencoder Auxiliary Module.

Sensors (Basel, Switzerland) Apr 11, 2022
In general, one may have access to a handful of labeled normal and defect datasets. Most unlabeled datasets contain normal samples because the defect samples occurred rarely. Thus, the majority of approaches for anomaly detection are formed as unsupe...
Image Processing, Computer-Assisted Supervised Machine Learning Entropy
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