AIMC Topic: Computer Simulation

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Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines.

Computer methods and programs in biomedicine Feb 2, 2018
BACKGROUND AND OBJECTIVE: Discriminative and informative feature extraction is the core requirement for accurate and efficient classification of protein subcellular localization images so that drug development could be more effective. The objective o...
Subcellular Fractions Reproducibility of Results Computational Biology Proteins Microscopy, Fluorescence Support Vector Machine Computer Simulation
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Self-organization in aggregating robot swarms: A DW-KNN topological approach.

Bio Systems Feb 2, 2018
In certain swarm applications, where the inter-agent distance is not the only factor in the collective behaviours of the swarm, additional properties such as density could have a crucial effect. In this paper, we propose applying a Distance-Weighted ...
Robotics Cooperative Behavior Computer Simulation Models, Theoretical Algorithms
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Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy.

Magnetic resonance in medicine Feb 1, 2018
Deep Learning Image Processing, Computer-Assisted Healthy Volunteers Brain Computer Simulation Image Enhancement Signal-To-Noise Ratio Magnetic Resonance Spectroscopy Artifacts Gray Matter Neural Networks, Computer Algorithms Humans Normal Distribution
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Hit Dexter: A Machine-Learning Model for the Prediction of Frequent Hitters.

ChemMedChem Feb 1, 2018
False-positive assay readouts caused by badly behaving compounds-frequent hitters, pan-assay interference compounds (PAINS), aggregators, and others-continue to pose a major challenge to experimental screening. There are only a few in silico methods ...
Machine Learning High-Throughput Screening Assays False Positive Reactions Small Molecule Libraries Databases, Factual Computer Simulation
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Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework.

Artificial intelligence in medicine Feb 1, 2018
Recent technological advances in machine learning offer the possibility of decoding complex datasets and discern latent patterns. In this study, we adopt Liquid State Machines (LSM) to recognize the emotional state of an individual based on EEG data....
Brain Waves Photic Stimulation Signal Processing, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Time Factors Predictive Value of Tests Machine Learning Electroencephalography Brain Emotions Humans Computer Simulation
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Vineyard water status assessment using on-the-go thermal imaging and machine learning.

PloS one Feb 1, 2018
The high impact of irrigation in crop quality and yield in grapevine makes the development of plant water status monitoring systems an essential issue in the context of sustainable viticulture. This study presents an on-the-go approach for the estima...
Agricultural Irrigation Dehydration Crops, Agricultural Wine Vitis Machine Learning Algorithms Computer Simulation
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NiftyNet: a deep-learning platform for medical imaging.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functional...
Magnetic Resonance Imaging Diagnostic Imaging Brain Computer Simulation Machine Learning Ultrasonography Humans Image Processing, Computer-Assisted Databases, Factual Abdomen Neural Networks, Computer
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Characterization of the stimulus waveforms generated by implantable pulse generators for deep brain stimulation.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jan 31, 2018
OBJECTIVE: To determine the circuit elements required to theoretically describe the stimulus waveforms generated by an implantable pulse generator (IPG) during clinical deep brain stimulation (DBS).
Humans Neural Networks, Computer Computer Simulation Deep Brain Stimulation Electrodes, Implanted
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The structural balance analysis of complex dynamical networks based on nodes' dynamical couplings.

PloS one Jan 31, 2018
The nodes and their connection relationships are the two main bodies for dynamic complex networks. In existing theoretical researches, the phenomena of stabilization and synchronization for complex dynamical networks are generally regarded as the dyn...
Neural Networks, Computer Computer Simulation
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The modulation of neural gain facilitates a transition between functional segregation and integration in the brain.

eLife Jan 29, 2018
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascendin...
Neural Networks, Computer Brain Computer Simulation Nerve Net Neurons Cognition
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