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Article
Open AccessA pragmatic ensemble learning approach for rainfall prediction
Heavy rainfall and precipitation play a massive role in sha** the socio-agricultural landscape of a country. Being one of the key indicators of climate change, natural disasters, and of the general topology ...
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Article
Open AccessFeature selection using differential evolution for microarray data classification
The dimensions of microarray datasets are very large, containing noise and redundancy. The problem with microarray datasets is the presence of more features compared to the number of samples, which adversely a...
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Chapter and Conference Paper
A Wrapper-based Feature Selection Approach Using Particle Swarm Optimization for Software Fault Prediction
The main aim of feature selection (FS) is to determine and select the optimal number of features from a big dataset to help us find more accurate predictions with high efficiency and less computation power. Pa...
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Book
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Chapter and Conference Paper
Wrapper Based Feature Selection Approach Using Black Widow Optimization Algorithm for Data Classification
Feature selection is a crucial preprocessing step for data analysis and further predictive modeling tasks. Various optimization algorithms have been used in the past to achieve better results in terms of evalu...
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Chapter and Conference Paper
Heart Disease Prediction Using Core Machine Learning Techniques—A Comparative Study
Cardiovascular diseases are responsible for twenty five per cent of the deaths in India and across the world. Indians are affected by CVDs at a much earlier age compared to the other demographics. Given the se...
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Article
Optimal Selection of Features Using Artificial Electric Field Algorithm for Classification
The high-dimensional features in the data may affect the performance of the classification model as all of them are not useful. The selection of relevant optimal features is a tedious task, especially the data...
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Article
Vulnerability of a top marine predator in one of the world’s most impacted marine environments (Arabian Gulf)
Knowledge of the habitat use of wildlife in highly impacted areas is essential to identify areas of biological importance and to implement appropriate conservation measures. The Arabian Gulf represents one of ...
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Article
Performance evaluation of multilevel inverter based hybrid active filter using soft computing techniques
In this paper, a multilevel inverter based shunt hybrid active filter is used, which is composed of passive filter and shunt active filter, used for enhancing the quality of power, by reducing the total harmon...
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Chapter and Conference Paper
MLAI: An Integrated Automated Software Platform to Solve Machine Learning Problems
Artificial Intelligence has enhanced the capability of many organizations’ decision-making at an extreme level. The demand for analyzing the structured and unstructured data that increases exponentially in rec...
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Chapter and Conference Paper
Performance Analysis of Feature Extraction Techniques for Medical Data Classification
In the last few decades, classification of the medical diseases has been a challenging task due to the nature of the data that may contain incomplete, inconsistent and uncertain information. The unavailability...
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Book
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Chapter
Correction to: Nature Inspired Computing for Data Science
The original version of this book was published with an incorrect volume number, which has now been changed from “SCI 871” to “871.” The correction book has been updated with the change.
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Book and Conference Proceedings
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Book
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Chapter and Conference Paper
QoS Aware Group-Based Workload Scheduling in Cloud Environment
Cloud computing paradigm provides dynamically scalable resources as a service over the Internet. It promises reduction in capital expenditure as well as operational expenditure. In cloud computing, there are s...
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Chapter and Conference Paper
Counterfeit Product Detection Analysis and Prevention as Well as Prepackage Coverage Assessment Using Machine Learning
There is no deny in the fact that duplicate product jeopardizes the luck of businesses worldwide over violating patent rights and causing immense commercial wound. Hence, it has to change into basic for firms ...
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Chapter and Conference Paper
An Approximation Solution to the NP-complete Joint Problem in Multi-radio WMN
Remote work systems furnish a high dependability WLAN with high inclusion and low hardware cost. Now-a-days in WMN the switches are furnished with various radios that expand the limit of the channel by transmi...
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Chapter
Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making
Now-a-days modern technology is used for health management and diagnostic strategy in the health sector. Machine learning usually helps in decision making for health issues using different models. Classificati...
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Chapter and Conference Paper
Disease Classification Using Linguistic Neuro-Fuzzy Model
In recent years, due to advancement in medical technologies and its devices, a large volume of medical data is generated continuously from different sources at every moment. Analyzing these large volumes of me...
