AIMC Topic: Bayes Theorem

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IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques.

Computational intelligence and neuroscience Oct 10, 2023
Computing intelligence is built on several learning and optimization techniques. Incorporating cutting-edge learning techniques to balance the interaction between exploitation and exploration is therefore an inspiring field, especially when it is com...
Models, Statistical Bayes Theorem Artificial Intelligence Algorithms Neural Networks, Computer
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Bayesian learning from multi-way EEG feedback for robot navigation and target identification.

Scientific reports Oct 7, 2023
Many brain-computer interfaces require a high mental workload. Recent research has shown that this could be greatly alleviated through machine learning, inferring user intentions via reactive brain responses. These signals are generated spontaneously...
Brain-Computer Interfaces Neurofeedback Brain Robotics Bayes Theorem Electroencephalography
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Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging Oct 3, 2023
Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or early-r...
Humans Neural Networks, Computer Diagnostic Imaging Bayes Theorem Reproducibility of Results Deep Learning
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Quantification of golgi dispersal and classification using machine learning models.

Micron (Oxford, England : 1993) Oct 1, 2023
The Golgi body is a critical organelle in eukaryotic cells responsible for processing and modifying proteins and lipids. Under certain conditions, such as stress, disease, or ageing, the Golgi structure alters. Therefore, understanding the mechanisms...
Humans Machine Learning Random Forest HeLa Cells Aging Bayes Theorem
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A quality detection method of corn based on spectral technology and deep learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 27, 2023
Corn is an important food crop in the world. With economic development and population growth, the nutritional quality of corn is of great significance to high-quality breeding, scientific cultivation and fine management. Aiming at the problems of cum...
Seeds Principal Component Analysis Deep Learning Algorithms Support Vector Machine Bayes Theorem Technology Zea mays
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Artificial intelligence based system for predicting permanent stoma after sphincter saving operations.

Scientific reports Sep 25, 2023
Although the goal of rectal cancer treatment is to restore gastrointestinal continuity, some patients with rectal cancer develop a permanent stoma (PS) after sphincter-saving operations. Although many studies have identified the risk factors and caus...
Retrospective Studies Bayes Theorem Machine Learning Algorithms Humans Artificial Intelligence
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Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection.

Scientific reports Sep 23, 2023
Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted increasing att...
Humans Deep Learning Bayes Theorem Mpox, Monkeypox Epidemics Chickenpox
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Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress.

Scientific reports Sep 23, 2023
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy damage leading to yield reduction in maize. Therefore, the identification of resistant genes paves the way to the development of disease-resistant cultivars a...
Transcriptome Bayes Theorem Zea mays Artificial Intelligence Algorithms
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Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.

Medical & biological engineering & computing Sep 22, 2023
Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying breast lesions in 2D ultrasound (US) images. Exiting approaches typically use pre-trained models based on architectures designed for natural images with...
Bayes Theorem Machine Learning Retrospective Studies Neural Networks, Computer
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Comparison between linear regression and four different machine learning methods in selecting risk factors for osteoporosis in a Chinese female aged cohort.

Journal of the Chinese Medical Association : JCMA Sep 19, 2023
BACKGROUND: Population aging is emerging as an increasingly acute challenge for countries around the world. One particular manifestation of this phenomenon is the impact of osteoporosis on individuals and national health systems. Previous studies of ...
East Asian People Taiwan Middle Aged Risk Assessment Bayes Theorem Linear Models Machine Learning Osteoporosis Female Risk Factors Humans
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