Data Analytics and Learning
Proceedings of DAL 2022
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Chapter and Conference Paper
Automated Detection of Cracks in Asphalt Pavement Images Using Texture Descriptors and Machine Learning Classifier
The cracks play a major role in deteriorating the transportation infrastructure. The maintenance of the pavement is done by the early diagnosis of crack. The manual approaches for evaluating a pavement is done...
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Chapter and Conference Paper
Interval Valued Data Representation for Gender Classification of Celebrity Cartoon Faces
In this paper, we address the problem of recognizing the gender of celebrities in cartoons images. We propose a method of representing celebrity cartoon faces by the use of interval-valued features and suitabl...
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Chapter and Conference Paper
Classification of Forged Logo Images
In this paper, the Binary and Hierarchical Multi-classification models for forged logo classification based on texture features are proposed in the binary classification model where the texture of the logo is ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Classification of Chest X-Ray Images to Diagnose COVID-19 Disease Through Transfer Learning
The world has been trapped in a pandemic caused by the deadly SARS-COV2 virus, which is very contagious and is rapidly spreading across the world. It affects humans’ respiratory organs and later causing breath...
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Chapter and Conference Paper
Multi-Terrain Rover Based on Rocker-Bogie Mechanism
During this paper we have got projected to create in all-terrain mobile automation based Rocker Bogie Mechanism with Arduino as microcontroller which will move across alternative planet surfaces to seek out da...
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Chapter and Conference Paper
Classification of Gender in Celebrity Cartoon Images
This paper presents a model by integrating deep architecture-based feature extraction with classical learning algorithms for the effective gender classification of celebrity cartoon images. The proposed model ...
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Chapter and Conference Paper
Retrieval of Videos of Flowers Using Deep Features
This paper presents an algorithmic model for the retrieval of natural flower videos using query by frame mechanism. To overcome the drawback of traditional algorithms, we propose an automated system using a de...
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Chapter and Conference Paper
Interval-Valued Feature Selection for Classification of Text Documents
This paper presents the classification of text data using the symbolic data type of interval-valued feature selection method. Initially, the documents are represented in the form of interval-valued features. T...
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Chapter and Conference Paper
Detection of A Stable Age in Children for Face Recognition Application
In this work, a novel approach for finding an accurate age of a child to be adapted for an automatic face recognition application is proposed. Our proposed approach initially uses Viola–Jones method to automat...
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Chapter and Conference Paper
Interval Chi-Square Score (ICSS): Feature Selection of Interval Valued Data
In this paper, a novel feature ranking criterion suitable for interval valued feature selection is proposed. The proposed criterion simulates the characteristics of the well known statistical criterion - chi-s...
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Chapter and Conference Paper
Clustering of Interval Valued Data Through Interval Valued Feature Selection: Filter Based Approaches
In this paper, a problem of selectively choosing a few best interval valued features out of several available features is addressed in an Un-supervised environment. Various models belonging to two categories v...
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Chapter and Conference Paper
A Filter Based Feature Selection for Imbalanced Text Classification
In this work, a text classification method through a filter type feature selection for imbalanced data is addressed. The model initially clusters the documents associated with a class through a hierarchical cl...
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Chapter and Conference Paper
An Hierarchical Framework for Classroom Events Classification
In this paper, a model for classroom events classification is proposed. Major classroom events which are considered in this work are drowsiness of a student, group discussion, steady and alert, and noisy clas...
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Chapter and Conference Paper
Interval Valued Feature Selection for Classification of Logo Images
A model for classification of logo images through a symbolic feature selection is proposed in this paper. The proposed model extracts three global features viz., color, texture, and shape from logo images. Th...
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Chapter and Conference Paper
Class Specific Feature Selection for Interval Valued Data Through Interval K-Means Clustering
In this paper, a novel feature selection approach for supervised interval valued features is proposed. The proposed approach takes care of selecting the class specific features through interval K-Means clustering...
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Chapter and Conference Paper
Symbolic Representation and Classification of Logos
In this paper, a model for classification of logos based on symbolic representation of features is presented. The proposed model makes use of global features of logo images such as color, texture, and shape fe...
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Article
Contributory presentations/posters
