AIMC Topic: Computer Simulation

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Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.

Neuroinformatics Sep 9, 2022
Although current research aims to improve deep learning networks by applying knowledge about the healthy human brain and vice versa, the potential of using such networks to model and study neurodegenerative diseases remains largely unexplored. In thi...
Humans Neural Networks, Computer Brain Computer Simulation Deep Learning Dementia
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An Improved Grey Wolf Optimization with Multi-Strategy Ensemble for Robot Path Planning.

Sensors (Basel, Switzerland) Sep 9, 2022
Grey wolf optimization (GWO) is a meta-heuristic algorithm inspired by the hierarchy and hunting behavior of grey wolves. GWO has the superiorities of simpler concept and fewer adjustment parameters, and has been widely used in different fields. Howe...
Algorithms Computer Simulation Robotics
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A Deep Machine Learning-Based Assistive Decision System for Intelligent Load Allocation under Unknown Credit Status.

Computational intelligence and neuroscience Sep 8, 2022
Nowadays, the banks are facing increasing business pressure in loan allocations, because more and more enterprises are applying for it and financial risk is becoming vaguer. To this end, it is expected to investigate effective autonomous loan allocat...
Machine Learning Computer Simulation
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Invisibility, cloaks and daggers: Balancing clinical hazards in the age of artificial intelligence.

Journal of evaluation in clinical practice Sep 7, 2022
Humans Artificial Intelligence Computer Simulation Models, Theoretical
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Support vector machine embedding discriminative dictionary pair learning for pattern classification.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2022
Discriminative dictionary learning (DDL) aims to address pattern classification problems via learning dictionaries from training samples. Dictionary pair learning (DPL) based DDL has shown superiority as compared with most existing algorithms which o...
Algorithms Databases, Factual Computer Simulation Support Vector Machine
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Multitask Deep Neural Networks for Ames Mutagenicity Prediction.

Journal of chemical information and modeling Sep 6, 2022
The Ames mutagenicity test constitutes the most frequently used assay to estimate the mutagenic potential of drug candidates. While this test employs experimental results using various strains of , the vast majority of the published in silico models ...
Neural Networks, Computer Computer Simulation Reproducibility of Results Mutagens Mutagenesis Mutagenicity Tests
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Geometry of neural computation unifies working memory and planning.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2022
Real-world tasks require coordination of working memory, decision-making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here, we propose that contingency representation...
Humans Neural Networks, Computer Computer Simulation Prefrontal Cortex Models, Neurological Memory, Short-Term
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Effectiveness Assessment of College Ideological and Political Courses Using BP Neural Networks in Network Environment.

Journal of environmental and public health Sep 6, 2022
We will not be able to provide educators with the assistance they require to implement the network IPECU and boost the effectiveness of the network IPE until we have established a trustworthy and effective assessment system. By first identifying the ...
Humans Neural Networks, Computer Algorithms Computer Simulation Universities
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Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 3, 2022
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence of emergency situations that require conversion of the minimally invasive access route to open acce...
Humans Computer Simulation Communication Surgeons Clinical Competence Robotics Robotic Surgical Procedures
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A Nonlinear Finite-Time Robust Differential Game Guidance Law.

Sensors (Basel, Switzerland) Sep 2, 2022
In this paper, a robust differential game guidance law is proposed for the nonlinear zero-sum system with unknown dynamics and external disturbances. First, the continuous-time nonlinear zero-sum differential game problem is transformed into solving ...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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