AIMC Topic: Systems Analysis

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Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks.

Bulletin of mathematical biology Sep 23, 2024
Collective migration is an important component of many biological processes, including wound healing, tumorigenesis, and embryo development. Spatial agent-based models (ABMs) are often used to model collective migration, but it is challenging to thor...
Humans Systems Analysis Cell Movement Dictyostelium Models, Biological Stochastic Processes Mathematical Concepts Computer Simulation Animals Neural Networks, Computer Forecasting
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AI-assisted learning for systems thinking in resolving ill-structured problems among healthcare students.

Medical education Sep 1, 2024
Humans Artificial Intelligence Problem Solving Systems Analysis Students, Medical Thinking
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Agent-based approaches for biological modeling in oncology: A literature review.

Artificial intelligence in medicine May 3, 2024
CONTEXT: Computational modeling involves the use of computer simulations and models to study and understand real-world phenomena. Its application is particularly relevant in the study of potential interactions between biological elements. It is a pro...
Computer Simulation Neoplasms Artificial Intelligence Algorithms Systems Analysis Models, Biological Medical Oncology Humans
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Investigation on the fault monitoring of high-voltage circuit breaker using improved deep learning.

PloS one Dec 1, 2023
Mechanical faults are the main causes of abnormal opening, refusal operation, or malfunction of high-voltage circuit breakers. Accurately assessing the operational condition of high-voltage circuit breakers and delivering fault evaluations is essenti...
Deep Learning Systems Analysis Research Design Phenotype Reproducibility of Results
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ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D.

PloS one Oct 5, 2023
Complex systems such as the global climate, biological organisms, civilisation, technical or social networks exhibit diverse behaviours at various temporal and spatial scales, often characterized by nonlinearity, feedback loops, and emergence. These ...
Algorithms Systems Analysis Fiji Artificial Intelligence Software
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Automatic seizure detection by convolutional neural networks with computational complexity analysis.

Computer methods and programs in biomedicine Nov 25, 2022
BACKGROUND AND OBJECTIVES: Nowadays, an automated computer-aided diagnosis (CAD) is an approach that plays an important role in the detection of health issues. The main advantages should be in early diagnosis, including high accuracy and low computat...
Humans Neural Networks, Computer Systems Analysis Diagnosis, Computer-Assisted Seizures Electroencephalography Signal Processing, Computer-Assisted
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Systems medicine and artificial intelligence in retinal disease.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Oct 24, 2022
Retinal Diseases Systems Analysis Humans Artificial Intelligence
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Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices.

Sensors (Basel, Switzerland) Sep 27, 2022
Businesses need to use sentiment analysis, powered by artificial intelligence and machine learning to forecast accurately whether or not consumers are satisfied with their offerings. This paper uses a deep learning model to analyze thousands of revie...
Attitude Systems Analysis Machine Learning Artificial Intelligence Bayes Theorem
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Optimal Compact Network for Micro-Expression Analysis System.

Sensors (Basel, Switzerland) May 25, 2022
Micro-expression analysis is the study of subtle and fleeting facial expressions that convey genuine human emotions. Since such expressions cannot be controlled, many believe that it is an excellent way to reveal a human's inner thoughts. Analyzing m...
Emotions Facial Expression Humans Neural Networks, Computer Systems Analysis
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Using machine learning as a surrogate model for agent-based simulations.

PloS one Feb 10, 2022
In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). Analysing agent-based modelling outputs can be challenging, as the relationships...
Algorithms Monte Carlo Method Neural Networks, Computer Humans Machine Learning Systems Analysis Computer Simulation
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