high-level computational model
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... one level of security to protect the embedded message where encryption was done before hiding within LSB based on ISC ...the high frequency coefficients avoiding dealing with low frequency to keep the ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... A new CoMP joint transmission technique is presented in this paper to manage interference and to investigate the feasibility of coherent transmission for intra and intersite CoMP in real- world scenarios. With this ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... 1. Finding the information. In practical terms, the student after graduating from high school, is forced to search the information and rely on guides, instructions, standards, patents and other documents. Such ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... a high quality coverage for indoor environments, as well as, to increase data rates, capacity, and efficiency for the 5G wireless communication cells that will be deployed as close as 10 meter away from each other ...
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Addressing Computational Complexity of High Speed Distributed Circuits Using Model Order Reduction
... order model is verified at two levels: the first level determines the initial size of the reduced order model and the second level verifies the accuracy of the transient ...order model ...
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Exploration of High-level Synthesis Techniques to Improve Computational Intensive VLSI Designs
... The proposed algorithm takes a scheduled data flow graph (DFG) and the FU and register binding result as its inputs. It outputs the interconnect binding solution with minimal total wirelength of global interconnects. Our ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... ANN model to assess in the customer loyalty prediction. Third, the ANN model was trained based 5-FCV and the validated results shows that ANN model with fold 4 and topology of trainLM [4-10-1] is ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... An artificial neural network (ANN), also called as neural network (NN), is a mathematical or computational model based on biological neural networks. As ANN is designed on the grounds of human biological ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... In word frequency study George K. Zip created an empirical law that relates terms frequencies (tf) to rank in a frequency ordered word list [8]. Hans Luhn use statistical words in text information to measure the ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... Modern wind turbines generators can work at variable wind speed and produce fixed frequency electricity. These variable speed fixed frequency generators use DFIG with a partial converter interface or Permanent Magnet ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... Based on Table 1, it can be observed that despite the advantages of Edge-based features detection techniques they suffering from several weaknesses such as highly sensitive to noise, producing wild edge responses in ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... IT Infrastructure Library (ITIL) provides an integrated device of best practices to serve the management of Information Technology. ITIL is a series of concepts in engineering and infrastructure management, development, ...
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Preliminary Investigation of High Level Synthesis of a C++ Superscalar Processor Model.
... 1 is a little tricky. We need to make sure that once the control flow reaches the return statment, no other statement is executed (in a behavioral verilog model). Some of the statements will not be executed by ...
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Hybrid Signal Processing and Machine Learning Algorithm for Adaptive Fault Classification of Wind Farm Integrated Transmission Line Protection
... The high cost of fossil fuel and global climate change impact of nonrenewable energy (NRE) generation sources has led to the integration of Renewable Green Energy Sources (RGES) in existing power system [1] ...
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Computational Analysis of Interference Phenomena on the Lexical Level
... COMPUTATIONAL ANALYSIS OF INTERFERENCE PHENOMENA ON THE LEXICAL LEVEL COMPUTATIONAL ANALYSIS OF INTERFERENCE PHENOMENA ]ON THE LEXICAL LEVELtI") W Skalmowski and M Van Overbeke S u m m a r y This cont[.] ...
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Flow Analysis over an F-16 Aircraft Using Computational Fluid Dynamics
... the Computational Fluid Dynamics Analysis for the F-16 Aircraft this is compared with the experimental results done by NASA and are mentioned in the paper ―Computational Modelling of Steady, Compressible ...
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A Computational Model of High Jump Height
... the high jump has been one of the most intensely studied events in track and field [1, 6, 7, ...regression model and gray prediction model were used to predict the high jump ...the high ...
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A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... brightness level will be attracted and moved to fireflies with a higher brightness level, the brightness can be decreased with increasing distance and the absorption of light due to air factor determined by ...
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An Automated Model Generation Approach for High Level Modelling
... multiple model generation system using Delta operator (MMGSD) is developed for either SISO or MISO models from transistor level SPICE ...and high-pass filters accurately, and model nonlinear ...
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Beyond Modeling: A Roadmap to Community Cyberinfrastructure for Ecological Data-Model Integration
... in model experiments, from recording run history in repositories (Medlyn et ...track model inputs, settings, and simulation ...of model-specific formats and ...
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