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Article
Enhancement of TIG welding performance on carbon steel by Taguchi-TOPSIS optimization
In this research, the Taguchi-based TOPSIS technique was utilized to optimize TIG welding parameters for carbon steel. Five Input factors included welding current CT (80,100 A), gas flow rate GF (10,15 l/min),...
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Article
Effect of Acidic Treatment for Conventional Processing and Recent Advances on Lignocellulosic Ricinus Communis: A Comparative Evaluation on Decomposition of Biomass for Environmental Sustainability
The efficient use of lignocellulosic biomass for the production of new value compounds reduces our overdependence on fossil fuels. The use of fossil fuels emits a greater quantity of greenhouse gases, contribu...
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Article
Controllability of nonlinear fractional Langevin systems using \({\varPsi }\) -Caputo fractional derivative
This paper deals with the total controllability results for nonlinear fractional Langevin systems involving \({\varPsi }\) ...
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Article
Linearized asymptotic stability of implicit fractional integrodifferential system
This article establishes a linearized asymptotic stability theorem for an implicit fractional integrodifferential system involving Caputo fractional derivative. We use the method of Lyapunov–Perron fixed point...
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Article
Retraction Note to: A novel bat optimized runlength networks (BORN) for an efficient classification of breast cancer
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Article
Design of dynamic voltage restorer in the power quality improvement for voltage problems
Solutions for customers with delicate loads and quick voltage regulation are essential. Protect important loads from supply-side voltage disturbances with a power electronic converter-based dynamic voltage res...
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Article
A Review on Psychrophilic β-D-Galactosidases and Their Potential Applications
The majority of the Earth’s ecosystem is frigid and frozen, which permits a vast range of microbial life forms to thrive by triggering physiological responses that allow them to survive in cold and frozen set...
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Article
Open AccessHolographic dark energy through Kaniadakis entropy in non flat universe
By extending the standard holographic principle to a cosmological framework and combining the non-flat condition with the Kaniadakis entropy, we construct the non-flat Kaniadakis holographic dark energy (KHDE)...
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Chapter and Conference Paper
LFC Technique of an Interconnected Hybrid Grid System with the Forecasting of Wind Power
As the wind power is random and strong, higher efforts have been incorporated into the load frequency (LF) controlling techniques. The research objective is we consider an interconnected power grid unit with a...
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Chapter
Early Detection of Chronic Obstructive Pulmonary Disease Using LSTM-Firefly Based Deep Learning Model
Identifying Chronic Obstructive Pulmonary Disease (COPD) is essential for reducing mortality and cost burden. However, the population suffers from an underdiagnosis of chronic obstructive pulmonary disease. Th...
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Article
Comparative study on pyrolysis characteristics and kinetics of Indian almond fruit and Gracilaria changii seaweed by thermogravimetric analysis
In this study, the pyrolysis characteristics and kinetic analysis of waste Indian almond fruit (IAF) and the algae Gracilaria changii (G. changii) biomass were investigated using a thermogravimetric analysis (TGA...
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Article
Anisotropy Enhancing Vertically Aligned Silicon-Germanium Nanowire
For the past four decades, the microelectronics industry has relied on silicon complementary MOS (metal oxide semiconductors). Because of their excellent characteristics, MOSFETs have become key components in ...
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Article
The Fabrication of High-Anisotropy Silicon Nanowires Based on MACE Method for Photonic Sensor
Future electronics will be made of silicon nanostructures (SiNs). Mechanical, electrical, and optical characteristics, as well as litho resistivity and thermoelectricity, making them remarkable multi-functiona...
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Article
Design and Compressive Analysis of Junctionless Multigate FinFET Towards Low Power and High Frequency Applications
Advances in microelectronics have enabled smaller technical nodes, lower threshold voltages, and greater working frequencies. Even though VLSI circuit performance and power consumption have improved as a resul...
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Article
A pragmatic ensemble learning approach for effective software effort estimation
The immense increase in software technology has resulted in the convolution of software projects. Software effort estimation is fundamental to commence any software project and inaccurate estimation may lead t...
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Article
Open AccessNew Tsallis holographic dark energy
Tsallis entropy is a generalization of the Boltzmann–Gibbs entropy in statistical theory which uses a parameter \(\delta \) ...
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Article
Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature
To ensure software quality, software defect prediction plays a prominent role for the software developers and practitioners. Software defect prediction can assist us with distinguishing software defect modules...
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Article
Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India
The surge of the novel COVID-19 caused a tremendous effect on the health and life of the people resulting in more than 4.4 million confirmed cases in 213 countries of the world as of May 14, 2020. In India, th...
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Article
RETRACTED ARTICLE: A novel bat optimized runlength networks (BORN) for an efficient classification of breast cancer
In recent times, Medical Information and Processing deals with various methodologies utilized for the prognosis and diagnosis of various harmful diseases with the help of trending artificial intelligence and m...
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Chapter and Conference Paper
QCM Sensor-Based Alcohol Classification by Advance Machine Learning Approach
The consumption of alcohol is a general trend in many persons. But intense drinking will be disruptive and dangerous. The excessive intake of alcohol is allied with a selection of unconstructive consequences t...
