inference based learning system
Disease Inference System on the Basis of Health Related Questions Via Learning
... The current prevailing online health resources can be roughly categorized into two categories. One is the reputable portals run by official sectors, renowned organizations or other professional health providers. They are ...
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COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
... machine learning approach to predict the COVID-19 and we exemplify its potential using data from ...machine learning methods of adaptive network-based fuzzy inference system (ANFIS) and ...
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User preference tree based personalized online learning managment system
... for learning resources, with an inference rule engine that is mining association rules between the learning resources and using them for ...for learning resources sharing, assessing, and ...
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Adaptive Network Based Fuzzy Inference System Model for Minimizing Handover Failure in Mobile Networks
... network based fuzzy inference system is also referred to as Adaptive neuro-fuzzy inference system ...hybrid system which combine fuzzy logic system (FLS) and artificial ...
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User preference tree based personalized online learning managment system
... items based on the matching of their attributes to the user ...use inference techniques borrowed from the Semantic ...rate based oneach individual criterion in multicriteria ...the learning ...
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Disease Inference System from Health Related Questions Via Learning Approach
... disease inference is of significance to overcome any issues between what online health seekers with strange side effects need and what occupied human doctor with one-sided aptitude can ...objects based on ...
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Neural Network based Video Quality via Adaptive FEC in Wireless Environment
... (MLP) based media access control protocol (MAC) to secure a CSMA-based wireless sensor network against the denial-of-service attacks launched by adversaries ...a learning model based on ...
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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
... ANFIS is a fuzzy inference system (FIS) implemented in the framework of an adaptive fuzzy neural network. It combines the explicit knowledge representation of an FIS with the learning power of ...
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Estimation of the heart rate variability features via recurrent neural networks
... deep learning based system, specifically a recurrent neural network for the inference of two time domain HRV features: AVNN (the average of all the NN intervals) and IHR (instantaneous heart ...
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Artificial intelligence for the early design phases of space missions
... Model-Based System Engineering, relying both on their implicit knowledge ...an inference engine to provide reasoning and deductions on its ...Machine Learning (ML), Knowledge Management (KM) ...
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Inferential framework for nonstationary dynamics I Theory
... a system of neurons modeled as FHN oscillators, including detection of their large stepwise changes for each oscillator and continuous variation in the adiabatic ...is based on nonlinear dynamical ...
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Machine Learning Approaches for Accurate Prediction of Relative Humidity based on Temperature and Wet-Bulb Depression
... tools based on statistical learning concepts, ...Fuzzy Inference System (ANFIS) and Least Square Support Vector Machine (LSSVM) are developed for calculating relative humidity in terms of wet ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based Fault Detector ...their ...
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Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
... desired system (combine in this study) give better judge about the performance of various sectors [14, ...[1]. System modeling using conventional mathematical tools such as deferential relations is not ...
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Improving TCP Performance based on Fuzzy Logic for Mobile Ad hoc Networks
... In the proposed FL-TCP protocol, we use a fuzzy logic inference system to determine the difference between expected and actual throughput. However, the idea behind our FL-TCP is not using any fixed ...
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A Robust DCT Based Digital Image Watermarking Using Fusion of Computational Intelligence Techniques
... I n p r o p o s e d f u z z y - n e u r o b a s e d watermarking contains two modules: watermark embedding and extracting. In watermark embedding process, we input cover image having size 512*512 and thumbprint of size ...
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An efficient parallel algorithm for haplotype inference based on rule based approach and consensus methods.
... With recent advancements in bioinformatics technology, completion of ‘Human Genome Project’, and the exponential growth in genetic data, there is an ever-growing need in genomics to determine the relevance of genetic ...
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E-LEARNING: A PRACTICAL APPROACH TO MODERN DAY LEARNING PROCESS
... Computer-based learning, sometimes abbreviated as CBL, refers to the use of computers as a key component of the educational ...collaborative learning, in addition to data management, has been ...
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A sugeno and tsukamoto fuzzy inference system for denoising medical images
... Model based filter is proposed for efficient removal of impulse noise from the medical ...proposed system involves two first orders Tsukamoto type fuzzy filters and a post ...
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