AIMC Topic: Probability

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Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model.

Journal of environmental management Oct 12, 2022
The expansion of built-up area is the most noticeable form of urbanization-induced land use/land cover (LULC) change. In the global cities of south, the urban sprawl is increasing rapidly with even higher probabilities of future built-up expansion. T...
Environmental Monitoring Fuzzy Logic Cities Quality of Life Conservation of Natural Resources Urbanization Probability
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Deep learning-based neural networks for day-ahead power load probability density forecasting.

Environmental science and pollution research international Oct 6, 2022
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernmental Panel on Climate Change. Electrical overload frequently occurs and causes unwanted outages in distribution networks, which reduces energy utiliza...
Greenhouse Gases Probability Forecasting Neural Networks, Computer Deep Learning Reproducibility of Results
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Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.

IEEE transactions on neural networks and learning systems Oct 5, 2022
State-space models (SSMs) are a rich class of dynamical models with a wide range of applications in economics, healthcare, computational biology, robotics, and more. Proper analysis, control, learning, and decision-making in dynamical systems modeled...
Neural Networks, Computer Probability Space Simulation Bayes Theorem Computational Biology
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Development of Network Security Based on the Neural Network PSD Algorithm.

Computational intelligence and neuroscience Sep 30, 2022
The more frequent occurrence of network security incidents has an impact on network security. Through the research on network security situational awareness, this paper constructs a multilevel network security situation evaluation index system from v...
Algorithms Neural Networks, Computer Probability
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Human reliability analysis in deep excavation projects using a fuzzy Bayesian HEART-5M integrated method: case of a residential tower in north Tehran.

International journal of occupational safety and ergonomics : JOSE Sep 26, 2022
Numerous labourers lose their lives or suffer from injuries and disabilities yearly due to the lack of safety enforcement in construction projects and accidents caused by excavation collapses. The identification and ranking of human errors have alwa...
Iran Probability Bayes Theorem Humans Fuzzy Logic Reproducibility of Results
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Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 24, 2022
BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication prob...
Proton Therapy Radiotherapy Dosage Radiotherapy, Intensity-Modulated Probability Decision Support Systems, Clinical Humans Radiotherapy Planning, Computer-Assisted Deep Learning Esophageal Neoplasms
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Intelligent Reading of English Text Based on the Generative Model Constraint Label Fusion.

Computational intelligence and neuroscience Sep 21, 2022
The intelligent reading of English text is affected by complex environmental factors, which will result in low reading accuracy and poor reader experience. Based on the artificial intelligence model, this study constructs the artificial intelligence ...
Reading Probability Artificial Intelligence Intelligence Algorithms
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Volumetric macromolecule identification in cryo-electron tomograms using capsule networks.

BMC bioinformatics Aug 30, 2022
BACKGROUND: Despite recent advances in cellular cryo-electron tomography (CET), developing automated tools for macromolecule identification in submolecular resolution remains challenging due to the lack of annotated data and high structural complexit...
Neural Networks, Computer Electron Microscope Tomography Electrons Macromolecular Substances Probability
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PassTCN-PPLL: A Password Guessing Model Based on Probability Label Learning and Temporal Convolutional Neural Network.

Sensors (Basel, Switzerland) Aug 29, 2022
The frequent incidents of password leakage have increased people's attention and research on password security. Password guessing is an essential part of password cracking and password security research. The progression of deep learning technology pr...
Humans Computer Security Probability Neural Networks, Computer
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Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception.

Sensors (Basel, Switzerland) Aug 18, 2022
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain...
Machine Learning Personality Algorithms Perception Probability
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