[PDF] Top 20 Support Vector Machine Based Approach for Transformer’s Differential Protection
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Support Vector Machine Based Approach for Transformer’s Differential Protection
... For internal faults, different sets of data are generated both for training and testing purpose. For example in internal faults, different cases are observed like inter-turn fault on primary and secondary sides, ... See full document
5
An Support Vector Regression Based Nonlinear Modeling Method for Sic Mesfet
... An approach for the microwave nonlinear device modeling technique based on a combination of the conventional equivalent circuit model and support vector machine (SVM) regression is ... See full document
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Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... class based on the collected gas ...(ANN), support vector machine (SVM) and K-nearest neighbor (KNN) classifiers for fault ...fuzzy support vector machine for ... See full document
12
Data driven Time Series Based Prediction in Smart Home Appliance Energy Consumption
... as support vector machine (SVM) and artificial neural networks (ANN) is a potential approach for such ...time-series based approach to an energy consump- tion prediction problem ... See full document
6
Product recommendations using Data Mining and Machine Learning algorithms
... uses Support Vector Machine (SVM) along with a fuzzy decision support system which is more effectual than the Collaborative Filtering ...terms based on the fuzziness measurement of set ... See full document
9
Support Vector Machine Based Fault Diagnosis of Power Transformer Using k Nearest Neighbor Imputed DGA Dataset
... power transformer especially when the percentage of missing values in DGA dataset is ...or machine learning task to be carried out without having to omit the samples that contain the missing ... See full document
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Electron-Impact Ionization of Boronfluorides BFx (x=1, 2 & 3)
... our approach regarding pose and illumination ...Component based Approach for Face Recognition with Support Vector Machines is presented by Bernd Heisele, Purdy Ho, Tomaso Poggio ... See full document
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Ensemble Learning Approach based Rule Extraction from Support Vector Machine Chitra A*, Anto S
... years, support vector machines (SVMs) have shown good performance in a number of application ...as Support Vector Machine (SVM) which is utilized to screen diabetes, and an ensemble ... See full document
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Malicious Nodes Identification and Classification of Nodes and Detection of UDP Flood Attack with ICMP using OLSR Routing Protocol in MANET Sweta Kriplani, Rupam Kesharwani
... new approach of networking brings a great flexibility and affordability to the world of wireless communications by introducing pervasive computing, document sharing, and smart ...efficient protection ... See full document
5
Cardiac Biometric Identification using Phonocardiogram Signals by Binary Decision Tree based SVM
... ABSTRACT Analyzing Phonocardiogram signals for Automatic Identification system by Binary Decision Tree based Support Vector Machine is a new approach in the research and this paper exami[r] ... See full document
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Anomaly-Based – Intrusion Detection System using User Profile Generated from System Logs Roshan Pokhrel*, Prabhat Pokharel**, Arun Kumar Timalsina, PhD*
... and machine learning technique is used. In this paper hybrid approach is implemented which is an amalgam of two different techniques namely support vector machine and Naïve ...hybrid ... See full document
5
Machine learning CICY threefolds
... and Support Vector Machines (SVM) are used to investigate geometric properties of Complete Intersection Calabi–Yau (CICY) threefolds, a class of manifolds that facilitate string model ...our approach ... See full document
9
Copy move image classification by feature optimization with support vector machine approach
... Proposed strategy is intended to be hearty to geometric transformations. Results were contrasted and a piece coordinating strategy and a point-based technique. Chi-Man Pun et al. [13] In this paper creators ... See full document
5
Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... a transformer using Dissolved Gas Analysis (DGA) method is very ...a Support Vector Machine (SVM) based faults diagnosing method in the ...Power transformer fault diagnosis ... See full document
5
Distinguishing the Various Faults in transformer and Its Protection Using Support Vector Machine
... in transformer is vital from both operation and economic point of ...Primary protection using differential protection scheme is well established which can fairly classify the fault between ... See full document
6
Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier
... exhibit useful types learning. The important issue in development of expert system is knowledge acquisition from the experts to build the knowledge base. One technique to the knowledge acquisition is direct injection ... See full document
8
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
... This chapter gives background information about the methods and algorithms used in this study. We will present algorithms and methods for preprocessing, feature reduction, and classification. The structure of the ... See full document
55
Digital Differential Current Protection Scheme of Transformer Using an Arduino UNO Microcontroller
... step-down transformer to direct current for use by the ...step-up transformer to ...the differential protection scheme when differential current is below zero and above zero ...the ... See full document
5
A Survey on Intrusion Detection Systems and Classification Techniques
... A network-based intrusion detection system (NIDS) is used to monitor and analyse network traffic to protect a system from network-based threats where the data is traffic across the network. A NIDS tries to ... See full document
7
Determination of Compressive Strength of Concrete by Statistical Learning Algorithms
... [6] H. Suetani, A. M. Ideta, and J. Morimoto, “Nonlinear structure of escape-times to falls for a passive dynamic walker on an irregular slope: Anomaly detection using multi-class support vector ... See full document
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