AIMC Topic: Bayes Theorem

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SF High-Voltage Circuit Breaker Contact Status Detection at Different Currents.

Sensors (Basel, Switzerland) Nov 4, 2022
Currently, the online non-destructive testing (NDT) methods to measure the contact states of high-voltage circuit breakers (HVCBs) with SF gas as a quenching medium are lacking. This paper aims to put forward a novel method to detect the contact stat...
Vibration Neural Networks, Computer Bayes Theorem
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Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep.

Scientific reports Nov 4, 2022
As the amount of data on farms grows, it is important to evaluate the potential of artificial intelligence for making farming predictions. Considering all this, this study was undertaken to evaluate various machine learning (ML) algorithms using 52-y...
Neural Networks, Computer Support Vector Machine Bayes Theorem Sheep Artificial Intelligence Machine Learning Algorithms Animals
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Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.

BMC endocrine disorders Nov 4, 2022
BACKGROUND: Machine learning was a highly effective tool in model construction. We aim to establish a machine learning-based predictive model for predicting the cervical lymph node metastasis (LNM) in papillary thyroid microcarcinoma (PTMC).
Risk Factors Thyroid Neoplasms Artificial Intelligence Retrospective Studies Bayes Theorem Humans Lymph Nodes Carcinoma, Papillary Lymphatic Metastasis
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COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization.

Frontiers in public health Nov 4, 2022
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a result, it has disastrous consequences for people's lives, public health, and the global economy. Clinical studies have revealed a link between the severity of...
Deep Learning Neural Networks, Computer Bayes Theorem X-Rays Humans COVID-19
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Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future.

International journal of environmental research and public health Oct 31, 2022
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medi...
COVID-19 Artificial Intelligence Bayes Theorem Pandemics Curriculum Humans Teaching
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SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability.

PloS one Oct 31, 2022
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin cancer are recorded in the United States annually. Early identification and evaluation of skin lesions are of great clinical significance, but the di...
Image Processing, Computer-Assisted Bayes Theorem Skin Neoplasms Deep Learning Humans Skin Diseases Uncertainty
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Heterogeneous treatment effects analysis for social scientists: A review.

Social science research Oct 29, 2022
Social scientists have long been interested in the varying responses to a specific intervention, motivating the enterprise of heterogeneous treatment effects (HTE) analysis. Over the past five decades, the rapid development of HTE methods, from conve...
Humans Machine Learning Bayes Theorem
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Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital.

European journal of medical research Oct 28, 2022
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection could be a result of many diseases, such as pneumonia, urinary tract infection, and other illnesses. Some of its symptoms are fever, tachycardia, tachypne...
Bayes Theorem Hospitals Virginia Humans Sepsis Machine Learning
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Machine Learning Models Identify New Inhibitors for Human OATP1B1.

Molecular pharmaceutics Oct 21, 2022
The uptake transporter OATP1B1 (SLC01B1) is largely localized to the sinusoidal membrane of hepatocytes and is a known victim of unwanted drug-drug interactions. Computational models are useful for identifying potential substrates and/or inhibitors o...
Bayes Theorem Cricetinae Support Vector Machine Cricetulus Machine Learning Software Algorithms Animals Humans
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Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.

Sensors (Basel, Switzerland) Oct 20, 2022
While computer networks and the massive amount of communication taking place on these networks grow, the amount of damage that can be done by network intrusions grows in tandem. The need is for an effective and scalable intrusion detection system (ID...
Bayes Theorem Logistic Models Machine Learning Big Data
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