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Proposing a Simulated Expert-based Hybrid Approach

Graph-based simulated annealing: a hybrid approach to stochastic modeling of complex microstructures

Graph-based simulated annealing: a hybrid approach to stochastic modeling of complex microstructures

... new approach proposed in this paper for stochastic model- based simulation of 3D microstructures is used to investigate the morphology of graphite electrodes in Li-ion batteries, where our simulation model ...

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Proposing a hybrid approach for emotion classification using audio and video data

Proposing a hybrid approach for emotion classification using audio and video data

... language based on the database. Also, multi-faceted analysis and using hybrid approaches can provide a rich set of information about the hidden aspects of the text, audio, visual, image and any other ...

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Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

... novel hybrid approach for text cate- gorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is ...

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Simulated Annealing as an Intensification Component in Hybrid Population-based Metaheuristics

Simulated Annealing as an Intensification Component in Hybrid Population-based Metaheuristics

... 2.1 The single machine total weighted tardiness problem with sequence-dependent setups The STWTSDS problem consists in scheduling n independent jobs on a single machine. All the jobs are released simultaneously, i.e., ...

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A hybrid expert approach for retrospective assessment of occupational exposures in a population-based case-control study of cancer

A hybrid expert approach for retrospective assessment of occupational exposures in a population-based case-control study of cancer

... an approach to retrospective exposure assessment developed for PROtEuS (Prostate Cancer & Environment Study), a population-based case-control study comprising approximately 4000 subjects in Montreal, ...

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Proposing a Hybrid Approach to Predict, Schedule and Select the Most Robust Project Portfolio under Uncertainty

Proposing a Hybrid Approach to Predict, Schedule and Select the Most Robust Project Portfolio under Uncertainty

... portfolio based on K-Means algorithm in the third step have made up the ...gathered. Based on project characteristics, the projects tasks have been estimated based on the trained neural network ...

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An adaptive evolutionary multi objective approach based on simulated annealing

An adaptive evolutionary multi objective approach based on simulated annealing

... preliminary approach hybridizing MOEA/D with simulated ...effective hybrid evolutionary approach, called ...by simulated annealing with different temperature ...the simulated ...

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A Hybrid Approach for Ontology-based Information Extraction

A Hybrid Approach for Ontology-based Information Extraction

... a hybrid OBIE system, which incorporates both extraction rules and machine learning-based information ...by proposing proposed combining information extractors that have different ...This ...

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A HYBRID RULE BASED FUZZY-NEURAL EXPERT SYSTEM FOR PASSIVE NETWORK MONITORING

A HYBRID RULE BASED FUZZY-NEURAL EXPERT SYSTEM FOR PASSIVE NETWORK MONITORING

... an expert (network administrator) knowledge, and decision making ...the hybrid approach to overcome disadvantages of using only one single method ...

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Proposing New Methods to Enhance the Low-Resolution Simulated GPR Responses in the Frequency and Wavelet Domains

Proposing New Methods to Enhance the Low-Resolution Simulated GPR Responses in the Frequency and Wavelet Domains

... the simulated GPR traces of common reflected objects are time shifted, as with the Normal Moveout (NMO) traces encountered in seismic reflection ...first approach is based on linear interpolation in ...

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ECG Beat Diagnosis Approach for ECG Printout Based on Expert System

ECG Beat Diagnosis Approach for ECG Printout Based on Expert System

... using Hybrid approach of Adaptive Neuro- Fuzzy Inference System (ANFIS) model for classification of (ECG) signals, and comparison this Technique with Feed-Forward Neural Network (FFNN), and Fuzzy Inference ...

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A New Approach of Expert System for Rainfall Prediction Based on Data Series

A New Approach of Expert System for Rainfall Prediction Based on Data Series

... The proposed system combines the SVM and Fuzzy methods to achieve high accuracy of the rainfall prediction.The input parametersof the proposed system are humidity (H), wind velocity (W), temperature (T), and rainfall (R) ...

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Development of breast cancer ontology based on hybrid approach

Development of breast cancer ontology based on hybrid approach

... domain expert who is used for ontology development purpose by knowing and understand the term of breast cancer used frequently in the domain and the documentation which is very helpful to understand the literature ...

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A hybrid approach with agent-based simulation and clustering for sociograms

A hybrid approach with agent-based simulation and clustering for sociograms

... current approach presents a hybrid approach between agent-based simu- lation and clustering for simulating sociograms according to the psychological features of their ...This approach ...

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Learning Based-Approach for Personalized Expert Detection

Learning Based-Approach for Personalized Expert Detection

... 4.2.1 Technical Degree, Years of Experience, Technical Positions The observed pattern of variance for these three features was approximately constant across the experience clusters and the average preference was 2.5 out ...

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A Hybrid Approach to Skeleton based Translation

A Hybrid Approach to Skeleton based Translation

... Apart from showing the effects of the skeleton- based model, we also studied the behavior of the MT system under the different settings of search space. Row s-space of Table 1 shows the BLEU and TER results of ...

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A Hybrid Legal Expert System

A Hybrid Legal Expert System

... The doctrine of stare decisis takes its name from the Latin phrase ’stare de- cisis et non quieta movere’ which translates as ’stand by the thing decided and do not disturb the calm’. It is a doctrine based on ...

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HybES: a Hybrid Expert System

HybES: a Hybrid Expert System

... a Hybrid Expert System (HybES) in the sense of incorporating methodologies of rule based systems and relational databases within fuzzy logic data sets and ...Rule Based Expert System, ...

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Category based expert ranking: A novel 
		approach for expert identification in community question answering

Category based expert ranking: A novel approach for expert identification in community question answering

... current expert identification methods: Most of the users writing an answer in CQA will be an expert in a minimum any one of the ...current expert identification ...Current expert ...

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An adaptive evolutionary multi-objective approach based on simulated annealing

An adaptive evolutionary multi-objective approach based on simulated annealing

... A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic algorithms. Each subproblem corresponds to one weighted ...

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