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Classification

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Essay Examples

Classification of ECG Arrhythmia using Recurrent Neural Networks

Abstract: The main objective of the paper is to suggest a method which automates the separation process of regular and irregular beats in an ecg. the researchers used the during the course of their work. The methodology used to achieve the objective of the paper involves giving a large volume of the time-series ecg data…

Classification,

Science,

Statistics,

Technology

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Pages: 8
Words: 1785

Object Recognition and Localization for Mobile robot indoor Navigation

The Rapid evolution of technology and development of robotic application has made possible to create autonomous robots to assist or replace human in ordinary tasks in everyday setting. For instance service robots coexist with human in the same environment to provide support and assistance in house work and caring elderly or disabled people. Service robots…

Classification,

Computers

Open Document
Pages: 3
Words: 587

Graph Classification using Machine Learning

Graphs can accurately represent most real-world data. Graph classification is an important graph mining task. It deals with predicting which label or category the graph belongs to and has many applications such as classifying chemical compounds, function prediction of protein structures, social network analysis. Traditional approaches focus on extracting graph statistics or features and comparing…

Classification,

Learning,

Science

Open Document
Pages: 3
Words: 601

Detection and Classification of Plant Leaf Disease

This is because classification using shape signatures is computationally intensive due to the complex normalization needed to obtain rotational invariance. The shape signature will only be rotationally invariant if the starting point on our original shape can be identified on our rotated shape. This may not always be obvious. In addition, because shape signatures are…

Classification,

Plant,

Science,

Technology

Open Document
Pages: 10
Words: 2374

Detection And Classification Of Cervical Spondylosis

Abstract In this work we are trying to implement the segmentation of an x-ray image for cervical spondylosis detection. One of the major concerns of that particular disease is faster detection and identification of diseases in pervious stages. According to the opinion of clinical experts, today x-ray tomography method is most effective technology in medical…

Classification,

Health,

Medicine

Open Document
Pages: 9
Words: 2162

Video Vehicle Counting System

Abstract: This paper presents an efficient system for real time vehicle counting and color classification system using a surveillance camera for acquiring the traffic video stream. In our method, we propose a system to identify the vehicles based on the image processing techniques, such as background subtraction using kNN classifiers and morphological operations for detecting…

Classification,

Mathematics,

Technology

Open Document
Pages: 10
Words: 2419

Efficient Multi Digit Classification Using Mnist Data Set

Abstract Modern computers are difficult to read handwritten numbers because the handwriting of each person is special and distinctive. In the modern age of digital technology, however, everybody is moving. Handwritten books and papers need to be re-typed into computer systems. Thanks to computer vision methods f or Artificial Intelligence, the road is simpler. We…

Classification,

Computers,

Learning,

Technology

Open Document
Pages: 12
Words: 2826

Image Classification: Transfer Learning Approach

ABSTRACT Image Classification is basis and important task in computer vision. It is supervised learning problem. It has some of the target classes and we train a model to recognize them using training data. This train data some time can be large or can be small for very complex problems. What if we don’t have…

Classification,

Computer Science,

Learning

Open Document
Pages: 10
Words: 2383

Hyperspectral Image Classification Using Capsule Networks

Various classification methods and algorithms have been adopted by the remote sensing community. Some of the methods use techniques like support vector machines (SVMs), k-means clustering, Gaussian process (GP), random forest (RF), extreme learning machines (ELM) and deep neural network classifiers. However, the accuracies of these models are not up to the mark. The challenges…

Classification,

Computer Science,

Mathematics,

Technology

Open Document
Pages: 2
Words: 465
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