[PDF] Top 20 A New Approach to Pollen Classification using Computational Intelligence
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A New Approach to Pollen Classification using Computational Intelligence
... particular pollen class or name of plant ...for classification of more than 10 pollen species provided that one has enough computational ... See full document
11
File Type Identification - Computational Intelligence for Digital Forensics
... a new methodology is proposed – in a digital forensics perspective- to identify altered file types with high accuracy by employing computational intelligence ...and classification (neural ... See full document
15
Insights into microbial ecosystems using a new computational approach
... the classification of gut microbiota into enterotypes based on taxonomic similarities (Arumugam et ...parameters using a population dynamic model is an impossible task due to the constraints of data ... See full document
8
Intelligence Classification of the Timetable Problem: A Memetic Approach
... found using four operators: initialize, select, crossover and mutation (Coello et al, 2004 and Reynolds, ...a new, fitter pool via a (1-, 2- or multi-point) cross with genes of a parent), and (d) mutation ... See full document
10
DEEPWATER PRODUCTION FORECASTING USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
... a new neural approach to forecast cumulative oil ...is using a neural network with its weight optimized with genetic algorithm ...data using z-core normalization technique and optimal network ... See full document
5
A computational approach for the functional classification of the epigenome
... developing computational methods able to integrate different types of epigenetic signals and identify biologically meaningful combinations of chromatin marks has ...unsupervised classification tech- niques ... See full document
24
Honey Bee Bearing Pollen and Non Pollen Image Classification, VGG16 Transfer Learning Method using Different Optimizing Functions
... dataset classification problem using pre-trained model on transfer learning; ...bearing pollen and other type bees not bearing ...the classification to accumulate the process of pollination ... See full document
5
A HYBRID METHOD OF LINGUISTIC APPROACH AND STATISTICAL METHOD FOR NESTED NOUN COMPOUND EXTRACTION
... as classification, association rules and ...records using different distance based approach during classification task and computes the computational time for extracting the instances ... See full document
7
Object Based and Rule Based Classification of Synthetic Aperture Radar Images
... is using an object-based and ruleset-based supervised classification approach based on computational intelligence to classify a SAR imagery of Alwar city into different terrain features ... See full document
6
1. Hybrid approach for software component classification using computational intelligence
... Components Classification in their respective ...before classification of Software ...Hybrid Approach for Software Components Classifications by using Computational ... See full document
6
The Relationship between R&D Investment and Dividend Payment Tax Incentives and Their Role in the Dividend Tax Puzzle
... counts (to count the percentage of transactions where the item is) and the product. The accuracy is based on a kind of certainty factor (with different formulation and semantics). In [tp1999], only one item per feature ... See full document
108
Student Performance Classification using Adap...
... by using a multi-class SVM ...mining approach helps to extract useful information from the huge data, which is related to the performance of the student for an example, in this case, the data is available ... See full document
9
An Overview Of Computational Intelligence
... of Computational Intelligence include computer science, engineering, data analysis and bio- ...computing. Computational Intelligence is thus a way of performing like human ... See full document
6
A Robust DCT Based Digital Image Watermarking Using Fusion of Computational Intelligence Techniques
... watermarking using Fuzzy- BP ...computed using threshold and contrast sensitivity computed using ...variance. Using this method high value of PSNR is generated which indicates that the signed ... See full document
8
The ABC7 regimen: a new approach to metastatic breast cancer using seven common drugs to inhibit epithelial-to-mesenchymal transition and augment capecitabine efficacy
... This article presents the rationale and thinking behind the ABC7 regimen for metastatic breast cancer. Since there is currently no cure for breast cancer once it has spread to bone and other organs beyond the breast ... See full document
20
Finger Vein Recognition Using computational Intelligence Techniques
... Next step of pre-processing is feature extraction. This section describes the feature extraction process extracted from the vein pattern. In this the images are represented in numerical features to eliminate redundancy ... See full document
5
New Approach for Classification and Learning Using Fuzzy Random Forest
... and classification, or ...Forest using online continuous stream data which is very much essential today due to data streams getting generated as a result of various ...Forest using different split ... See full document
5
A Practical Approach to Implement Education Technologies in New Universities
... Integrative approach coupling the alignment modelshown in figure 1 with the technology-learning model (figure 2) was used to assess the university educational technology implementation ...evaluated using a ... See full document
8
Classification of Blood Species Using Fluorescence Spectroscopy Combined with Deep Learning Method
... However, in the current work, we just classify four different kinds of animals with the fluorescence spectroscopy combined with DBN model. In the future work, we shall collect spectral data of more kinds of animals with ... See full document
9
1. Optimization of spinning process using computational intelligence
... A genetic algorithm is used in an attempt to find optimized fibre properties obtained from different structure of neural network. The GA uses and manipulates a population of potential solutions to find the optimal ... See full document
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