AIMC Topic: Models, Statistical

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Fuzzy adaptive fault diagnosis and compensation for variable structure hypersonic vehicle with multiple faults.

PloS one Aug 13, 2021
Based on the type-II fuzzy logic, this paper proposes a robust adaptive fault diagnosis and fault-tolerant control (FTC) scheme for multisensor faults in the variable structure hypersonic vehicles with parameter uncertainties. Type-II fuzzy method ap...
Unmanned Aerial Devices Models, Statistical Nonlinear Dynamics Uncertainty Humans Computer Simulation Fuzzy Logic
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Bandgap prediction of two-dimensional materials using machine learning.

PloS one Aug 13, 2021
The bandgap of two-dimensional (2D) materials plays an important role in their applications to various devices. For instance, the gapless nature of graphene limits the use of this material to semiconductor device applications, whereas the indirect ba...
Disulfides Electric Conductivity Boron Compounds Molybdenum Graphite Semiconductors Machine Learning Models, Statistical Databases, Chemical
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Effect of alkaline treatment on the removal of contaminants of emerging concern from municipal biosolids: Modelling and optimization of process parameters using RSM and ANN coupled GA.

Chemosphere Aug 9, 2021
The current study aimed in enhancing the efficiency of alkaline treatment for CECs remediation in biosolids through the application of RSM and ANN. Due to the seasonal variation of CECs in biosolids, a complete CECs profile over a period of three yea...
Biosolids Reproducibility of Results Models, Theoretical Models, Statistical Neural Networks, Computer
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Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
Reconstruction of time-varying gene regulatory networks underlying a time-series gene expression data is a fundamental challenge in the computational systems biology. The challenge increases multi-fold if the target networks need to be constructed fo...
Machine Learning Bayes Theorem Computational Biology Databases, Genetic Algorithms Models, Statistical Time Factors Gene Regulatory Networks
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Hybrid Machine Learning Models for Predicting Types of Human T-cell Lymphotropic Virus.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
Life threatening diseases like adult T-cell leukemia, neurodegenerative diseases, and demyelinating diseases such as HTLV-1 based myelopathy/tropical spastic paraparesis (HAM/TSP), hypocalcaemia, and bone lesions are caused by a group of human retrov...
HTLV-I Infections Human T-lymphotropic virus 1 Humans Machine Learning Models, Statistical Viral Proteins Algorithms Computational Biology
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Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study.

Scientific reports Aug 3, 2021
Normative modelling is an emerging method for quantifying how individuals deviate from the healthy populational pattern. Several machine learning models have been implemented to develop normative models to investigate brain disorders, including regre...
Humans Neural Networks, Computer Neuroimaging Middle Aged Disease Progression Cognitive Dysfunction Case-Control Studies Models, Statistical Machine Learning Aged Cohort Studies Brain Cross-Sectional Studies Alzheimer Disease Female Male
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Utilizing deep neural networks and electroencephalogram for objective evaluation of surgeon's distraction during robot-assisted surgery.

Brain research Aug 2, 2021
OBJECTIVE: To develop an algorithm for objective evaluation of distraction of surgeons during robot-assisted surgery (RAS).
Middle Aged Deep Learning Clinical Competence Students, Medical Male Surgeons Psychomotor Performance General Surgery Models, Statistical Electroencephalography Robotic Surgical Procedures Humans Neural Networks, Computer Reproducibility of Results Adult Algorithms Female
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Editorial: The National COVID Cohort Collaborative Consortium Combines Population Data with Machine Learning to Evaluate and Predict Risk Factors for the Severity of COVID-19.

Medical science monitor : international medical journal of experimental and clinical research Aug 2, 2021
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) commonly presents with pneumonia. However, COVID-19 is now recognized to involve multiple organ systems with varying severity ...
COVID-19 Female SARS-CoV-2 Risk Factors Humans Machine Learning Severity of Illness Index Adult Diagnosis, Computer-Assisted Models, Statistical Male Population Health Middle Aged
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Predicting mutant outcome by combining deep mutational scanning and machine learning.

Proteins Jul 31, 2021
Deep mutational scanning provides unprecedented wealth of quantitative data regarding the functional outcome of mutations in proteins. A single experiment may measure properties (eg, structural stability) of numerous protein variants. Leveraging the ...
Computational Biology Models, Statistical Proteins DNA Mutational Analysis Mutation High-Throughput Nucleotide Sequencing Machine Learning Algorithms Protein Interaction Maps
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Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Parkinson's disease is heterogeneous in symptom presentation and progression. Increased understanding of both aspects can enable better patient management and improve clinical trial design. Previous approaches to modelling Parkinson's dis...
Biological Variation, Individual Humans Dopamine Agents Machine Learning Biological Variation, Population Female Aged Disease Progression Parkinson Disease Male Models, Statistical Longitudinal Studies Middle Aged
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