AIMC Topic: Bayes Theorem

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Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.

Frontiers in public health May 4, 2022
Healthcare AI systems exclusively employ classification models for disease detection. However, with the recent research advances into this arena, it has been observed that single classification models have achieved limited accuracy in some cases. Emp...
Reproducibility of Results Algorithms Bayes Theorem Machine Learning Delivery of Health Care
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Identifying the Posture of Young Adults in Walking Videos by Using a Fusion Artificial Intelligent Method.

Biosensors May 3, 2022
Many neurological and musculoskeletal disorders are associated with problems related to postural movement. Noninvasive tracking devices are used to record, analyze, measure, and detect the postural control of the body, which may indicate health probl...
Humans Young Adult Posture Artificial Intelligence Neural Networks, Computer Walking Bayes Theorem
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Diagnosis of COVID-19 patients by adapting hyper parametertuned deep belief network using hosted cuckoo optimization algorithm.

Electromagnetic biology and medicine May 2, 2022
COVID-19 is an infection caused by recently discovered corona virus. The symptoms of COVID-19 are fever, cough and dumpiness of breathing. A quick and accurate identification is essential for an efficient fight against COVID-19. A machine learning te...
COVID-19 Bayes Theorem Humans Neural Networks, Computer Algorithms Deep Learning
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A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods.

IEEE transactions on medical imaging May 2, 2022
The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and estimation (detection-estimation) tasks, estimation ROC (EROC) analysis h...
Computer Simulation ROC Curve Markov Chains Monte Carlo Method Supervised Machine Learning Bayes Theorem
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Painting Classification in Art Teaching under Machine Learning from the Perspective of Emotional Semantic Analysis.

Computational intelligence and neuroscience May 2, 2022
This paper aims to explore the Painting Classification in art teaching under Machine Learning. Based on Emotional Semantics and Machine Learning, the Emotional Semantics of the traditional image are expounded. Firstly, Emotional Semantics are applied...
Support Vector Machine Humans Bayes Theorem Machine Learning Semantics
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Implementation of a Heart Disease Risk Prediction Model Using Machine Learning.

Computational and mathematical methods in medicine May 2, 2022
Cardiovascular disease prediction aids practitioners in making more accurate health decisions for their patients. Early detection can aid people in making lifestyle changes and, if necessary, ensuring effective medical care. Machine learning (ML) is ...
Bayes Theorem Heart Diseases Support Vector Machine Machine Learning Humans Algorithms
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Online Anomaly Detection of Industrial IoT Based on Hybrid Machine Learning Architecture.

Computational intelligence and neuroscience Apr 30, 2022
Industrial IoT (IIoT) in Industry 4.0 integrates everything at the level of information technology with the level of technology of operation and aims to improve Business to Business (B2B) services (from production to public services). It includes Mac...
Computer Communication Networks Neural Networks, Computer Bayes Theorem Humans Industry Machine Learning
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A novel remaining useful life prediction method based on multi-support vector regression fusion and adaptive weight updating.

ISA transactions Apr 29, 2022
Remaining useful life prediction is of huge significance in preventing equipment malfunctions and reducing maintenance costs. Currently, machine learning algorithms have become hotspots in remaining useful life prediction due to their high flexibilit...
Support Vector Machine Algorithms Bayes Theorem Machine Learning
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Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors.

Journal of environmental management Apr 29, 2022
Complex interrelationships between landscape-level geoenvironmental factors and natural phenomena have rendered land degradation control measures ineffective. For control to be effective, this study argues that the interactions between different geoe...
Altitude ROC Curve Bayes Theorem Retrospective Studies Machine Learning
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Modern machine learning for tackling inverse problems in chemistry: molecular design to realization.

Chemical communications (Cambridge, England) Apr 28, 2022
The discovery of new molecules and materials helps expand the horizons of novel and innovative real-life applications. In pursuit of finding molecules with desired properties, chemists have traditionally relied on experimentation and recently on comb...
Bayes Theorem Deep Learning Machine Learning Drug Discovery Drug Design
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