A. Suruliandi

Orcid: 0000-0002-2863-1555

Affiliations:
  • Manonmaniam Sundaranar University, Department of Computer Science and Engineering, Tirunelveli, India


According to our database1, A. Suruliandi authored at least 28 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers.
Expert Syst. J. Knowl. Eng., June, 2024

Drug Target Interaction Prediction Using Machine Learning Techniques - A Review.
Int. J. Interact. Multim. Artif. Intell., 2024

2023
A Survey on an Analysis of Big Data Open Source Datasets, Techniques and Tools for the Prediction of Coronavirus Disease.
J. Circuits Syst. Comput., August, 2023

Calibrating the classifier for protein family prediction with protein sequence using machine learning techniques: An empirical investigation.
Int. J. Wavelets Multiresolution Inf. Process., May, 2023

An Empirical Evaluation of Machine Learning Techniques for Crop Prediction.
Int. J. Interact. Multim. Artif. Intell., 2023

2021
An Ensemble of Heterogeneous Incremental Classifiers for Assisted Reproductive Technology Outcome Prediction.
IEEE Trans. Comput. Soc. Syst., 2021

Prediction of Land Suitability for Crop Cultivation Based on Soil and Environmental Characteristics Using Modified Recursive Feature Elimination Technique With Various Classifiers.
IEEE Trans. Comput. Soc. Syst., 2021

Balancing Assisted Reproductive Technology Dataset for Improving the Efficiency of Incremental Classifiers and Feature Selection Techniques.
J. Circuits Syst. Comput., 2021

Stacked Framework for Ensemble of Heterogeneous Classification Algorithms.
J. Circuits Syst. Comput., 2021

Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation.
Int. J. Interact. Multim. Artif. Intell., 2021

2020
Machine Learning Techniques for Assisted Reproductive Technology: A Review.
J. Circuits Syst. Comput., 2020

Empirical Evaluation of Texture Features and Classifiers for Liver Disease Diagnosis.
Int. J. Image Graph., 2020

Person re-identification using kNN classifier-based fusion approach.
Int. J. Adv. Intell. Paradigms, 2020

Attribute rank-based weighted decision tree.
Int. J. Appl. Decis. Sci., 2020

2019
Texture classification using the rotational-invariant local symmetric tetra pattern.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Gabor-oriented local order feature-based deep learning for face annotation.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Constructive Lazy Wolf Search Algorithm for Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2019

Preventing crimes ahead of time by predicting crime propensity in released prisoners using data mining techniques.
Int. J. Appl. Decis. Sci., 2019

2018
Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images.
J. Medical Syst., 2018

Secured image compression using AES in bandelet domain.
Int. J. Comput. Sci. Eng., 2018

Person re-identification based on pose angle estimation and multi-feature extraction.
IET Biom., 2018

2017
Users' Click and Bookmark Based Personalization Using Modified Agglomerative Clustering for Web Search Engine.
Int. J. Artif. Intell. Tools, 2017

2016
Evaluating Multiscale Transform Based Image Compression Using Encoding Techniques.
Int. J. Image Graph., 2016

2015
Empirical evaluation of EZW and other encoding techniques in the wavelet-based image compression domain.
Int. J. Wavelets Multiresolution Inf. Process., 2015

Empirical Evaluation of Generic Weighted Cubicle Pattern and LBP Derivatives for Abnormality Detection in Mammogram Images.
Int. J. Image Graph., 2015

Local texture description framework-based modified local directional number pattern: a new descriptor for face recognition.
Int. J. Biom., 2015

2014
Enhancing the performance of texture-based face recognition through multi-resolution techniques.
Int. J. Biom., 2014

2011
Texture Analysis Using Local Texture Patterns: a Fuzzy Logic Approach.
Int. J. Pattern Recognit. Artif. Intell., 2011


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