AIMC Topic: Computer Simulation
Clear Filters Showing 2621 to 2630 of 3858 articles
Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints.
IEEE transactions on cybernetics
Jun 12, 2017
This paper deals with the tracking control problem for a class of nonlinear multiple input multiple output unknown time-varying delay systems with full state constraints. To overcome the challenges which cause by the appearances of the unknown time-v...
A biologically inspired controller to solve the coverage problem in robotics.
Bioinspiration & biomimetics
Jun 5, 2017
The coverage problem consists on computing a path or trajectory for a robot to pass over all the points in some free area and has applications ranging from floor cleaning to demining. Coverage is solved as a planning problem-providing theoretical val...
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.
Artificial intelligence in medicine
Jun 3, 2017
OBJECTIVE: Synergistic drug combinations are promising therapies for cancer treatment. However, effective prediction of synergistic drug combinations is quite challenging as mechanisms of drug synergism are still unclear. Various features such as dru...
Reproducibility of Results
Neoplasms
Gene Expression Profiling
Transcriptome
Humans
Artificial Intelligence
Computer Simulation
Antineoplastic Combined Chemotherapy Protocols
Databases, Genetic
Drug Synergism
Pharmacogenetics
Protein Interaction Maps
Gene Regulatory Networks
Computational Biology
Gene Expression Regulation, Neoplastic
Signal Transduction
Indirect adaptive fuzzy wavelet neural network with self- recurrent consequent part for AC servo system.
ISA transactions
Jun 2, 2017
This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent w...
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition.
Computer methods and programs in biomedicine
May 26, 2017
BACKGROUND AND OBJECTIVES: Enhancers are pivotal DNA elements, which are widely used in eukaryotes for activation of transcription genes. On the basis of enhancer strength, they are further classified into two groups; strong enhancers and weak enhanc...
Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster.
Scientific reports
May 25, 2017
The genomic best linear unbiased prediction (GBLUP) model has proven to be useful for prediction of complex traits as well as estimation of population genetic parameters. Improved inference and prediction accuracy of GBLUP may be achieved by identify...
Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.
eNeuro
May 22, 2017
Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biologically plausible neural network models of generic cortical microcircuits consisting of spiking neurons w...
Modeling long-term human activeness using recurrent neural networks for biometric data.
BMC medical informatics and decision making
May 18, 2017
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three ty...
Quad-phased data mining modeling for dementia diagnosis.
BMC medical informatics and decision making
May 18, 2017
BACKGROUND: The number of people with dementia is increasing along with people's ageing trend worldwide. Therefore, there are various researches to improve a dementia diagnosis process in the field of computer-aided diagnosis (CAD) technology. The mo...
Mastery Learning - does the method of learning make a difference in skills acquisition for robotic surgery?
The international journal of medical robotics + computer assisted surgery : MRCAS
May 16, 2017
BACKGROUND: Few studies compare the effectiveness of blocked vs random practice conditions in minimally invasive surgery training, and none have evaluated these in robotic surgery training.
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30619
- Neural Networks, Computer 29506
- Algorithms 26548
- Deep Learning 26025
- Artificial Intelligence 24055
- Robotics 13286
- Image Processing, Computer-Assisted 9387
- Retrospective Studies 8943
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5540
- Tomography, X-Ray Computed 4682
- Support Vector Machine 4644
- Computational Biology 4191
- Brain 3993
- Computer Simulation 3858
Recent Journals
- Scientific reports 5371
- Sensors (Basel, Switzerland) 4794
- PloS one 3990
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1122
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 859
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 822