Saroj Ratnoo
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View article: MALHOTRAS ASHI-ANGEL CONCEPTFOR EFFECTIVE MANAGEMENT OF HEPATITIS B AND C
MALHOTRAS ASHI-ANGEL CONCEPTFOR EFFECTIVE MANAGEMENT OF HEPATITIS B AND C Open
Hepatitis B and C is prevalent in certain parts of India like Andhra Pradesh, North Eastern states, Punjab, Haryana, Uttarakhand and Uttar Pradesh. There are many challenges in these patients which start from identification of the disease,…
View article: Transformer Based Unsupervised Learning Approach for Imbalanced Text Sentiment Analysis of E-Commerce Reviews
Transformer Based Unsupervised Learning Approach for Imbalanced Text Sentiment Analysis of E-Commerce Reviews Open
In e-commerce, online reviews play a vital role in understanding customer requirements. Companies can perform analysis of these reviews to make right business decisions. However, manually analyzing the content generated by each user on soc…
View article: Cluster analysis of socio-economic factors and academic performance of school students
Cluster analysis of socio-economic factors and academic performance of school students Open
The objective of the paper is to examine the academic performance of students’ vis-a-vis socio-economic factors using clustering analysis. The grades obtained in the 10th class are taken as the measure of academic performance. The variable…
View article: Formulation and Sensory Attributes of the Pickle Made from Buttermilk Treated Green Chilli (Capsicum annuum)
Formulation and Sensory Attributes of the Pickle Made from Buttermilk Treated Green Chilli (Capsicum annuum) Open
Background: The present study aims was to investigate the effect of Direct Vat Set buttermilk (DVSBM) and homemade buttermilk (HMBM) culture on physico-chemical properties of green chilli pickle. Methods: In the present study the effect Di…
View article: The Secure and Energy Efficient Data Routing in the IoT Based Networks
The Secure and Energy Efficient Data Routing in the IoT Based Networks Open
Over the course of the last few years, a great number of studies have been carried out in the field of IoT. It has been found that there is an issue with the performance of the secure data transmission that takes place between sensor nodes…
View article: Reviewing Machine Learning Algorithms for Fake News Detection
Reviewing Machine Learning Algorithms for Fake News Detection Open
With the proliferation of online platforms such as social media, digital media, e-news websites etc., spreading fake news has become easier than ever before. The fake news may be propagated as political propaganda or for financial gain. Du…
View article: Fine Tuning CNN for COVID-19 Patterns Detection From Chest Radiographs
Fine Tuning CNN for COVID-19 Patterns Detection From Chest Radiographs Open
The COVID-19 pandemic has crumbled health systems all over the world. Quick and accurate detection of coronavirus infection plays an important role in timely referral of physicians and control transmission of the disease. RT-PCR is the mos…
View article: Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization
Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization Open
The emerging areas of IoT and sensor networks bring lots of software applications on a daily basis. To keep up with the ever-changing expectations of clients and the competitive market, the software must be updated. The changes may cause u…
View article: Feature Selection using PMOGA for Microarray Datasets
Feature Selection using PMOGA for Microarray Datasets Open
Microarray technology is significantly impacting the community to know the primary characteristic underlining the expansion and growth of genes.Regardless of its many helpful relevance in analysis of drug detection and disease diagnosis; m…
View article: MULTI-OBJECTIVE HYPERPARAMETER TUNING OF CLASSIFIERS FOR DISEASE DIAGNOSIS
MULTI-OBJECTIVE HYPERPARAMETER TUNING OF CLASSIFIERS FOR DISEASE DIAGNOSIS Open
Disease diagnosis is an arduous task due to the high cost associated with the misclassifications.The classifiers for disease diagnosis must be accurate, offer a tradeoff among sensitivity and specificity, and address the problem of class i…
View article: HYPER HEURISTIC EVOLUTIONARY APPROACH FOR CONSTRUCTING DECISION TREE CLASSIFIERS
HYPER HEURISTIC EVOLUTIONARY APPROACH FOR CONSTRUCTING DECISION TREE CLASSIFIERS Open
Decision tree models have earned a special status in predictive modeling since these are considered comprehensible for human analysis and insight. Classification and Regression Tree (CART) algorithm is one of the renowned decision tree ind…
View article: FEATURE SELECTION USING MULTIOBJECTIVE MICRO-CHC GENETIC ALGORITHM: A HYBRID APPROACH
FEATURE SELECTION USING MULTIOBJECTIVE MICRO-CHC GENETIC ALGORITHM: A HYBRID APPROACH Open
The dimensionality reduction problem can be handled by employing feature selection techniques.Feature selection (FS) is a key preprocessing technique which selects more informative and useful features from data based on some criterion.Rese…
View article: Feature selection using multi-objective CHC genetic algorithm
Feature selection using multi-objective CHC genetic algorithm Open
Most of the datasets contain redundancies and inconsistencies in terms of features or instances or both. Therefore, datasets always need pre-processing before applying data mining algorithms. Feature selection is an important pre-processin…
View article: Vanet: A Comparative Study Of Topology Based Routing Protocols
Vanet: A Comparative Study Of Topology Based Routing Protocols Open
It is an important and an interesting research paper in which we will study the different protocols their working paths, areas, limitations their connectivity to each other regarding VANET. As we know that VANET can be viewed as a subset o…
View article: Enhanced Decision Tree Algorithm for Discovering Intra and Inter Class Exceptions
Enhanced Decision Tree Algorithm for Discovering Intra and Inter Class Exceptions Open
Decision tree algorithms, being accurate and comprehensible classifiers, have been one of the most widely used classifiers in data mining and machine learning. However, like many other classification algorithms, decision tree algorithms fo…
View article: Standardization of recipe and method for mango pickle
Standardization of recipe and method for mango pickle Open
Four recipes of mango pickle i.e. dried pickle, sweet pickle, oily pickle, & salty water pickle were standardized for preparation of mango pickle. The pickle sample were analysed for different parameter vis, PH, acidity, Ascorbic acid, tot…
View article: A Novel Fitness Computation Framework for Nature Inspired Classification Algorithms
A Novel Fitness Computation Framework for Nature Inspired Classification Algorithms Open
Nature inspired algorithms have become popular for discovering classification rules due to their ability to effectively handle large and complex search spaces. However, nature inspired algorithms have to compute the fitness of individuals …
View article: Exception discovery using ant colony optimisation
Exception discovery using ant colony optimisation Open
Ant colony optimisation (ACO) algorithms have been used to discover accurate, and comprehensible classification rules. Discovering exceptions using ACO is an underexplored area of research. Most of the classification algorithms focus on di…
View article: Gravitational Search Algorithms in Data Mining: A Survey
Gravitational Search Algorithms in Data Mining: A Survey Open
A Gravitational Search Algorithm is a meta-heuristic search algorithm inspired by Newton"s laws of motion and gravitation force.Gravitational search based algorithms have attracted the attention of data mining community due to their abilit…
View article: Seasonal variation in fatty acid profile in the milk of different species under popularly followed feeding system in India
Seasonal variation in fatty acid profile in the milk of different species under popularly followed feeding system in India Open
The aim of the study was to evaluate the seasonal variation in fatty acid profile in the milk of different species during summer and winter seasons. Samples were collected in months of summer and winter. Total saturated fatty acids (SFA) c…
View article: A Genetic Algorithm Approach for Discovering Tuned Fuzzy Classification Rules with Intra- and Inter-Class Exceptions
A Genetic Algorithm Approach for Discovering Tuned Fuzzy Classification Rules with Intra- and Inter-Class Exceptions Open
Fuzzy rule-based systems (FRBSs) are proficient in dealing with cognitive uncertainties like vagueness and ambiguity imperative to real-world decision-making situations. Fuzzy classification rules (FCRs) based on fuzzy logic provide a fram…
View article: Feature Selection using Multi-objective Genetic Algorith m: A Hybrid Approach
Feature Selection using Multi-objective Genetic Algorith m: A Hybrid Approach Open
Feature selection is an important pre-processing task for building accurate and comprehensible classification models. Several researchers have applied filter, wrapper or hybrid approaches using genetic algorithms which are good candidates …
View article: Discovery of Classification Rules Using Distributed Genetic Algorithm
Discovery of Classification Rules Using Distributed Genetic Algorithm Open
This paper presents a distributed genetic algorithm for the discovery of classification rules. Population is contained in the form of interconnected demes. The local selection and reproduction mechanism is used to evolve the species within…