Realistic Subsurface Anomaly Discrimination Using Electromagnetic Induction and an SVM Classifier

Eurasip Journal on Advances in Signal Processing - Germany
doi 10.1155/2010/305890
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Classification Approach Based on SVM for Electromagnetic Subsurface Sensing

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2005English

Weed Detection and Classification Using ICA Based SVM Classifier

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2020English

Leaf Disease Classification Using SVM Classifier in Cloud

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Breast Cancer Detection Using SVM Classifier With Grid Search Technique

International Journal of Computer Applications
2019English

A Refined Approach of Image Retrieval Using RBF-SVM Classifier

International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
2017English

An Investigation Into Electromagnetic Based Impedance Tomography Using Realistic Human Head Model

International Journal of Pharmacy and Pharmaceutical Sciences
PharmacologyPharmaceutical Science
2016English

An Automated Brain Tumour Boundary Detection Using Region Based Segmentation Technique Along With SVM Classifier

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Real Time Hand Gesture Recognition for Bangla Character Using SVM Classifier

International Journal of Computer Applications
2018English

MiRenSVM: Towards Better Prediction of microRNA Precursors Using an Ensemble SVM Classifier With Multi-Loop Features

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy