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[PDF] Top 20 Machine Learning based Object Identification System using Python

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Machine Learning based Object Identification System using Python

Machine Learning based Object Identification System using Python

... Machine learning has been gaining momentum over last decades: self-driving cars, efficient web search, speech and image recognition. The successful results gradually propagate into our daily lives. ML is a ... See full document

5

Machine learning based methodology for testing object oriented 
		applications

Machine learning based methodology for testing object oriented applications

... prediction system classifies the program constructs in to correct and fault statement which is not detected by the ...Traditional object oriented testing methods takes more time to detect the faults if the ... See full document

6

Human Object Behavior Monitoring System based on Machine Learning Algorithm

Human Object Behavior Monitoring System based on Machine Learning Algorithm

... ABSTRACT: An automatic human action recognition technique is proposed in this paper. The main intention of this paperwork is to provide a new approach for image recognition using an artificial neural network. In ... See full document

8

Clause Boundary Identification for Malayalam Using CRF

Clause Boundary Identification for Malayalam Using CRF

... clause identification such as Eva Ejerhed’s basic clause identification system(Ejerhed, 1988) for text to speech system, Papageorgiou’s rule-based clause boundary system a ... See full document

10

Face Recognition based Attendance System using Machine Learning

Face Recognition based Attendance System using Machine Learning

... Recognition Based Attendence Marking System” (Senthamil Selvi, Chitrakala, Antony Jenitha, 2014) is based on the identification of facerecognition to solve the previous attendance system’s ... See full document

7

Applications of different Techniques in Agricultural System: A Review

Applications of different Techniques in Agricultural System: A Review

... “Machine Learning Regression Technique for Cotton Leaf Disease Detection and Controlling using IoT” proposed a Support Vector Machine based regression system for ... See full document

5

A Hybrid Statistical Approach for Named Entity Recognition for Malayalam Language

A Hybrid Statistical Approach for Named Entity Recognition for Malayalam Language

... and object po- ...for identification of NER and we propose a supervised machine learning method using TnT based on a Hidden Markov Model and Viterbi ... See full document

6

Smart Stick for Blind using Machine Learning

Smart Stick for Blind using Machine Learning

... exchange machine is the GPS and GSM module that is embedded inside the Raspberry pi 3b ...by using the amount of time it takes to receive a transmitted ...by using searching for cells in the instant ... See full document

7

Review Paper Based on Machine Learning in Smart Irrigation System using Self-Organizing Maps and Hidden Markov Model

Review Paper Based on Machine Learning in Smart Irrigation System using Self-Organizing Maps and Hidden Markov Model

... mechanization system in cost effective manner, by using efficient components like arduino MCs, Raspberry Pi, relay and Xbee ...modules. Python programming language is worn for programming Raspberry ... See full document

5

Machine Learning Algorithms for Oil Price Prediction

Machine Learning Algorithms for Oil Price Prediction

... proposed system we have taken the datasets which has the Crude oil price and diesel ...price. Based on the dataset we have made feature list and target list where the target list is price value of diesel ... See full document

6

Stock Market Prediction Using Machine Learning In Python

Stock Market Prediction Using Machine Learning In Python

... Pre-Processing: Data pre-processing is a collective name for all methods that aim to ensure the quality of the data. In this stage we basically perform pre- processing on the data by selecting the best features which are ... See full document

5

Fake Profile Identification using Machine Learning

Fake Profile Identification using Machine Learning

... the people. Teachers can teach the students easily through this making a friendly environment for the students to study, teachers nowadays teachers are getting themselves familiar with these sites bringing online ... See full document

6

PyOD: A Python Toolbox for Scalable Outlier Detection

PyOD: A Python Toolbox for Scalable Outlier Detection

... Sridhar Ramaswamy, Rajeev Rastogi, and Kyuseok Shim. Efficient algorithms for mining outliers from large data sets. In ACM SIGMOD Record, volume 29, pages 427–438, 2000. Mayu Sakurada and Takehisa Yairi. Anomaly ... See full document

7

Analyzing algorithm precision for Stock Market datasets

Analyzing algorithm precision for Stock Market datasets

... For the analysis of this model, we have used the Microsoft data which has been obtained using the Yahoo Web API. Now a data space for a certain time period is declared and is retrieved using Pandas. Since ... See full document

7

Python and Machine Learning

Python and Machine Learning

... Banks and other businesses in the financial industry use machine learning technology for two key purposes: to identify important insights in data, and prevent fraud. The insights can identify in- vestment ... See full document

7

Mitigating E-Mail Threats - A Web Content Based Application

Mitigating E-Mail Threats - A Web Content Based Application

... Fang et al [3] proposed a new method for extracting information from PDF files by parsing them to get text and format information and injects tags into text information to transform it into semi-structured text. To ... See full document

6

EEG Signal Research for Identification of Epilepsy using Machine Learning Classification Accession

EEG Signal Research for Identification of Epilepsy using Machine Learning Classification Accession

... The EEG dataset is adopted from the Bonn University Hospital of Freiburg [17]. It contains five individual subsets (set A-E) named as Z,O,N,F and S. Each subset consists 23.6s duration of 100 single channel EEG signals. ... See full document

6

Multiple Object Tracking, Learning and Detection Using P-N Learning Template Matching

Multiple Object Tracking, Learning and Detection Using P-N Learning Template Matching

... proposed system provides better methodology than existing system the algorithm of template matching works with P-N learning technology which keep on comparing current template with existing templates ... See full document

6

Optimization of a Hybrid Energy Storage System for Electric Vehicles Using Machine Learning Methods

Optimization of a Hybrid Energy Storage System for Electric Vehicles Using Machine Learning Methods

... of using machine learning techniques, not only are there many methods to choose from, there is nearly an infinite number of ways they could be ...a machine learning algorithm learns has ... See full document

99

Mapping Informal Settlements in the Middle East Environment using an Object-Based Machine-Learning Approach

Mapping Informal Settlements in the Middle East Environment using an Object-Based Machine-Learning Approach

... The roundness feature describes how much the shape of an image object is similar to an ellipsoid. It is calculated by the difference of the enclosing ellipsoid and the enclosed ellipsoid. The radius of the largest ... See full document

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