AIMC Topic: Entropy

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Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network.

PLoS computational biology Aug 28, 2023
DNA methylation takes on critical significance to the regulation of gene expression by affecting the stability of DNA and changing the structure of chromosomes. DNA methylation modification sites should be identified, which lays a solid basis for gai...
DNA Methylation Entropy Machine Learning Algorithms Neural Networks, Computer
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Fuzzy entropy DEMATEL inference system for accurate and efficient cardiovascular disease diagnosis.

Computer methods in biomechanics and biomedical engineering Aug 23, 2023
The global population is at risk from both communicable and non-communicable deadly diseases, including cardiovascular disease. Early detection and prevention of cardiovascular disease require an accurate self-detection model. Therefore, this study i...
Female Male Algorithms Fuzzy Logic Entropy Cardiovascular Diseases Humans Middle Aged
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Plane invariant segmentation of computed tomography images through weighted cross entropy optimized conditional GANs in compressed formats.

Medical & biological engineering & computing Jul 10, 2023
Computed tomography (CT) scan provides first-hand knowledge to doctors to identify an ailment. Deep neural networks help enhance image understanding through segmentation and labeling. In this work, we implement two variants of Pix2Pix generative adve...
Image Processing, Computer-Assisted Entropy Tomography, X-Ray Computed Neural Networks, Computer
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A Deep Learning Model with Signal Decomposition and Informer Network for Equipment Vibration Trend Prediction.

Sensors (Basel, Switzerland) Jun 22, 2023
Accurate equipment operation trend prediction plays an important role in ensuring the safe operation of equipment and reducing maintenance costs. Therefore, monitoring the equipment vibration and predicting the time series of the vibration trend is o...
Entropy Equipment Failure Vibration Algorithms Deep Learning
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A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index.

Journal of biomedical informatics Jun 21, 2023
Even if assessing binary classifications is a common task in scientific research, no consensus on a single statistic summarizing the confusion matrix has been reached so far. In recent studies, we demonstrated the advantages of the Matthews correlati...
Fuzzy Logic Entropy Prevalence Drug Discovery Algorithms
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Underwater Target Detection Utilizing Polarization Image Fusion Algorithm Based on Unsupervised Learning and Attention Mechanism.

Sensors (Basel, Switzerland) Jun 15, 2023
Since light propagation in water bodies is subject to absorption and scattering effects, underwater images using only conventional intensity cameras will suffer from low brightness, blurred images, and loss of details. In this paper, a deep fusion ne...
Entropy Unsupervised Machine Learning Benchmarking Water Algorithms
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HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.

Medical image analysis May 30, 2023
High performance of deep learning models on medical image segmentation greatly relies on large amount of pixel-wise annotated data, yet annotations are costly to collect. How to obtain high accuracy segmentation labels of medical images with limited ...
Deep Learning Entropy Image Processing, Computer-Assisted Humans Uncertainty
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An ensemble of AHP-EW and AE-RNN for food safety risk early warning.

PloS one Apr 26, 2023
Food safety problems are becoming increasingly severe in modern society, and establishing an accurate food safety risk warning and analysis model is of positive significance in avoiding food safety accidents. We propose an algorithmic framework that ...
Entropy Analytic Hierarchy Process China Neural Networks, Computer Food Safety
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Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2023
Lifelong graph learning deals with the problem of continually adapting graph neural network (GNN) models to changes in evolving graphs. We address two critical challenges of lifelong graph learning in this work: dealing with new classes and tackling ...
Empirical Research Entropy Neural Networks, Computer Education, Continuing
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Calibrating segmentation networks with margin-based label smoothing.

Medical image analysis Apr 24, 2023
Despite the undeniable progress in visual recognition tasks fueled by deep neural networks, there exists recent evidence showing that these models are poorly calibrated, resulting in over-confident predictions. The standard practices of minimizing th...
Entropy Neural Networks, Computer Calibration Image Processing, Computer-Assisted Humans
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