AIMC Topic: Computer Simulation

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ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics1,2.

Journal of animal science Apr 29, 2019
This paper outlines typical terminology for modeling and highlights key historical and forthcoming aspects of mathematical modeling. Mathematical models (MM) are mental conceptualizations, enclosed in a virtual domain, whose purpose is to translate r...
Artificial Intelligence Machine Learning Models, Theoretical Animal Nutritional Physiological Phenomena Systems Analysis Ruminants Computer Simulation Animals Data Science
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An improved least squares SVM with adaptive PSO for the prediction of coal spontaneous combustion.

Mathematical biosciences and engineering : MBE Apr 12, 2019
The problem of coal spontaneous combustion prediction is very complex, and there are many factors that affect the prediction results. In order to solve the issues of high dimension and redundancy among features and limited samples in the prediction o...
Temperature Support Vector Machine Oxygen Oxygen Consumption Software Algorithms Computer Simulation Nonlinear Dynamics Spontaneous Combustion Least-Squares Analysis Coal Fires
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Rethink government with AI.

Nature Apr 1, 2019
Humans Artificial Intelligence Prejudice Federal Government Policy Making Police Social Work Social Media Computer Simulation Minority Groups Big Data Government Regulation Machine Learning Models, Theoretical Inventions Ill-Housed Persons Facial Recognition Administrative Personnel Housing Foodborne Diseases Forecasting
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Identification of hormone binding proteins based on machine learning methods.

Mathematical biosciences and engineering : MBE Mar 22, 2019
The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and other animals. HBP can also selectively and non-covalently interact with hormone. Therefore, accurate identification of HBP is an important prerequis...
Amino Acids Hormones Analysis of Variance Support Vector Machine Carrier Proteins Databases, Protein Software Algorithms Computer Simulation Humans Machine Learning Peptides Reproducibility of Results Computational Biology Animals
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Seasonal Linear Predictivity in National Football Championships.

Big data Mar 1, 2019
Predicting the results of sport matches and competitions is a growing research field, benefiting from the increasing amount of available data and novel data analytics techniques. Excellent forecasts can be achieved by advanced statistical and machine...
Humans Machine Learning Forecasting Time and Motion Studies Soccer Computer Simulation Internationality
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A sparse deep learning model for privacy attack on remote sensing images.

Mathematical biosciences and engineering : MBE Feb 20, 2019
Deep learning tools have been a new way for privacy attacks on remote sensing images. However, since labeled data of privacy objects in remote sensing images are less, the samples for training are commonly small. Besides, traditional deep neural netw...
Deep Learning Computer Simulation Image Processing, Computer-Assisted Reproducibility of Results Data Interpretation, Statistical Geographic Information Systems Neural Networks, Computer Remote Sensing Technology Software Privacy Algorithms
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Stability properties of neural networks with non-instantaneous impulses.

Mathematical biosciences and engineering : MBE Feb 18, 2019
In this paper, we consider neural networks in the case when the neurons are subject to a certain impulsive state displacement at fixed moments and the duration of this displacement is not negligible small (these are known as non-instantaneous impulse...
Time Factors Models, Biological Neurons Nonlinear Dynamics Algorithms Humans Pattern Recognition, Automated Brain Neural Networks, Computer Nerve Net Computer Simulation
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A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem.

Mathematical biosciences and engineering : MBE Feb 18, 2019
Particle swarm optimizer was proposed in 1995, and since then, it has become an extremely popular swarm intelligent algorithm with widespread applications. Many modified versions of it have been developed, in which, comprehensive learning particle sw...
Models, Theoretical Pattern Recognition, Automated Software Machine Learning Algorithms Computer Simulation Reproducibility of Results
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Computing of temporal information in spiking neural networks with ReRAM synapses.

Faraday discussions Feb 18, 2019
Resistive switching random-access memory (ReRAM) is a two-terminal device based on ion migration to induce resistance switching between a high resistance state (HRS) and a low resistance state (LRS). ReRAM is considered one of the most promising tech...
Animals Synapses Information Storage and Retrieval Pattern Recognition, Automated Nerve Net Neural Networks, Computer Algorithms Computer Simulation Learning Humans
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A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation.

Faraday discussions Feb 18, 2019
Memristive devices represent a promising technology for building neuromorphic electronic systems. In addition to their compactness and non-volatility, they are characterized by their computationally relevant physical properties, such as their state-d...
Neural Networks, Computer Algorithms Information Storage and Retrieval Computer Simulation Stochastic Processes Equipment Design Electronics
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