AIMC Topic: Probability

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FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.

Computers in biology and medicine Jan 3, 2023
Thyroid nodules, a common disease of endocrine system, have a probability of nearly 10% to turn into malignant nodules and thus pose a serious threat to health. Automatic segmentation of thyroid nodules is of great importance for clinicopathological ...
Neural Networks, Computer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Probability Thyroid Nodule Ultrasonography
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Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence.

PloS one Dec 15, 2022
Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easi...
Neural Networks, Computer Probability Humans
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Optimal Underwater Acoustic Warfare Strategy Based on a Three-Layer GA-BP Neural Network.

Sensors (Basel, Switzerland) Dec 11, 2022
A defense platform is usually based on two methods to make underwater acoustic warfare strategy decisions. One is through Monte-Carlo method online simulation, which is slow. The other is by typical empirical (database) and typical back-propagation (...
Computer Simulation Probability Neural Networks, Computer Acoustics Algorithms
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End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Hierarchical reinforcement learning (HRL) is a promising approach to perform long-horizon goal-reaching tasks by decomposing the goals into subgoals. In a holistic HRL paradigm, an agent must autonomously discover such subgoals and also learn a hiera...
Deep Learning Probability Learning Neural Networks, Computer Reinforcement, Psychology
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A Network Model for Detecting Marine Floating Weak Targets Based on Multimodal Data Fusion of Radar Echoes.

Sensors (Basel, Switzerland) Nov 25, 2022
Due to the interaction between floating weak targets and sea clutter in complex marine environments, it is necessary to distinguish targets and sea clutter from different dimensions by designing universal deep learning models. Therefore, in this pape...
Radar Artificial Intelligence Probability
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Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation.

Sensors (Basel, Switzerland) Nov 18, 2022
Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM...
Cluster Analysis Probability Fuzzy Logic Algorithms Magnetic Resonance Imaging Brain
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A machine learning method for predicting the probability of MODS using only non-invasive parameters.

Computer methods and programs in biomedicine Nov 8, 2022
OBJECTIVES: Timely and accurate prediction of multiple organ dysfunction syndrome (MODS) is essential for the rescue and treatment of trauma patients However, existing methods are invasive, easily affected by artifacts and can be difficult to perform...
Multiple Organ Failure Probability ROC Curve Humans Databases, Factual Machine Learning
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Efficient Perturbation Inference and Expandable Network for continual learning.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2022
Although humans are capable of learning new tasks without forgetting previous ones, most neural networks fail to do so because learning new tasks could override the knowledge acquired from previous data. In this work, we alleviate this issue by propo...
Machine Learning Probability Learning Humans Neural Networks, Computer Uncertainty
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Stability analysis with general fuzzy measure: An application to social security organizations.

PloS one Oct 20, 2022
An effective method for evaluating the efficiency of peer decision-making units (DMUs) is data envelope analysis (DEA). In engineering sciences and real-world management problems, uncertainty in input and output data always exists. To achieve reliabl...
Social Security Probability Uncertainty Fuzzy Logic Organizations
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Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach.

Computational intelligence and neuroscience Oct 14, 2022
The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelli...
Probability Artificial Intelligence Computer Simulation Bayes Theorem Likelihood Functions Algorithms
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