Hybrid Approach Research Papers - Academia.edu (original) (raw)

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- by Helena Martins
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- Decision Making, Forest Ecology And Management, Biological Sciences, Forest Policy
- by Jean-Louis Roujean
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- Cartography, Artificial Intelligence, Machine Learning, Pattern Recognition
- by Chinmaya Misra
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- Information Retrieval, Computer Vision, Image Processing, Pattern Recognition
- by Andrea Zuccolo
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- Technology, Computational Biology, In Situ Hybridization, Biological Sciences
- by Eric Astor
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- Family systems and cybernetics, Hybrid Approach
- by Sofiane Guessasma and +1
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- Materials Engineering, Mechanical Engineering, Finite Element, Genetic Algorithm
- by R. Crouser
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- Information Systems, Robotics, Cognitive Science, Computer Programming

In this paper, we propose a hybrid approach of Arabic scripts web page language identification based on decision tree and ARTMAP approaches. We use the decision tree approach to find the general identities of a web document, be it an Arabic script-based or a non-Arabic-based. Then, we use the selected representations of identified pages from the decision tree approach as

- by Ibnu Subroto
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- Arabic, Pattern Recognition, Neural Network, Algorithm
- by Aparna Nagarajan
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- Genetics, DNA, Polymerase Chain Reaction, Hybrid Approach
- by Ronaldo Prati
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- Genetic Algorithm, Hybrid Approach, Association Rule, Subset Selection
- by Giovanni Semeraro
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- Distributed Computing, Image Analysis, Image segmentation, Decision Trees
- by Eric Mjolsness
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- Hybrid Approach

This paper describes the use of problem-based Learning (PBL) in the delivery of a level 3 unit: Design and Implementation of VLSI Systems. A “hybrid ” approach has been taken with lectures being interleaved with floating facilitator, PBL... more

- by Norman J Powell
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- Problem Based Learning, Hybrid Approach, Design and Implementation
- by Rodica Lung
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- Differential Evolution, Natural Computing, Optimization Problem, Computer Software
- by Hansong Tang
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- Engineering, Computation Fluid Dynamics, Spatial Scale, Hydrodynamics

... Since the pri-mary focus of this research pertains to the project screening process, in which go/no-go decisions are being made early in the acquisition lifecycle, this linear assumption seems appropriate. ... REFERENCES [1] KM... more

- by Dan Shunk
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- Engineering, Decision Making, Analytic Hierarchy Process, Portfolio Optimization
- by Shih-Wen Hsiao
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- Industrial Design, Computer Aided Design, Neural Network, Genetic Algorithm
- by Carla Gomes
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- Graph Coloring, Hybrid Approach, Constraint Satisfaction, Graph Coloring Problem
- by Jean-marie Bonnin and +1
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- User eXperience, Resource use, Quality of Experience, Performance Evaluation
- by Sabri Pllana
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- Distributed Computing, Parallel Computing, Materials Science, Computational Modeling
- by Emile Hendriks
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- Information Systems, Algorithms, Artificial Intelligence, Sign Language

Dissemination of data with sensitive information about individuals has an implicit risk of unauthorized disclosure. Perturbative masking methods propose the distortion of the original data sets before publication, tackling a difficult tradeoff between data utility (low information loss) and protection against disclosure (low disclosure risk). In this paper, we describe how information loss and disclosure risk measures can be integrated

In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding, can be expensive in terms of energy. This limitation challenges the use of sensor networks for applications that demand a predefined operational-lifetime. To avoid this problem, using of mobile element (ME) as a mechanical data carrier has emerged as a promising approach. However, practical considerations such as the ME speed and route planning, sensor buffer size and data frequency generation constraints impose limits ...

R…SUM…. Il est connu que les performances des algorithmes d'extraction des itemsets fermØs laissent ‡ dØsirer lorsqu'ils sont appliquØs sur des contextes Øparses. Aussi, dans ce papier, nous proposons une approche qui s'inscrit dans l'optique d'appliquer au type du contexte, selon sa densitØ (dense ou Øparse), le type d'algorithme le plus appropriØ du point de vue performances. L'approche proposØe utilise

- by Sadok Ben Yahia and +1
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- Data Mining, Frequent Itemset Mining, Hybrid Approach, Association Rule
- by Tamer Shahin
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- Information Systems, Product Design, Design studies, Case Study
- by Diego Fernandez Gonzalez
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- Time Series, Forecasting, Market Research, Energy Conversion
- by Lee Jau
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- Machine Learning, Semiconductor Manufacturing, Hybrid Intelligent Systems, Case Study

This paper presents a novel histogram thresholding – fuzzy C-means hybrid (HTFCM) approach that could find different application in pattern recognition as well as in computer vision, particularly in color image segmentation. The proposed approach applies the histogram thresholding technique to obtain all possible uniform regions in the color image. Then, the Fuzzy C-means (FCM) algorithm is utilized to improve

- by Muhammad Nawaz
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- Computer Vision, Image Processing, Pattern Recognition, Algorithm
- by Alessandro Di Nuovo
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- Genetics, Comparative Study, Genetic Algorithm, Feature Selection
- by Javad Basiri
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- Market Research, Customer Relationship Management, Profitability, Management System
- by Anne Tarantino
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- Mechanical Engineering, Time Series, Energy, Sensitivity Analysis
- by Fred Glover
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- Applied Mathematics, Tabu Search, Genetic Algorithm, Oscillations
- by Laura Morente
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- Engineering, Algorithms, Computer Vision, Photography
- by Jawad Nagi
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- Genetics, Genetic Algorithm, Global Optimization, Fraud Detection
- by Helena Martins
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- Decision Making, Forest Ecology And Management, Biological Sciences, Forest Policy
- by Cheng-Lin Liu
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- Cognitive Science, Image Analysis, Image segmentation, Edge Detection
- by xin li
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- Cognitive Science, Image Processing, Computational Complexity, Computational Modeling
- by Balazs Pritz and +1
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- Hybrid Approach, Thermal Science, Boundary Condition, Compressible Flow
- by Wendell Wallach
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- Human Geography, Philosophy, Ethics, Applied Ethics
- by xin li
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- Cognitive Science, Image Processing, Computational Complexity, Computational Modeling