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Article
Analytical investigation and cost comparison on voided slab using ABAQUS
These days, several research projects examine the impact of voids in concrete components, particularly in voided slabs. The idea behind voided concrete slabs is to replace inactive concrete with hollow plastic...
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Article
Punching shear failure: dangerous failure zone of bi-axial voided slab
In this research paper, the focus is on studying the Dangerous zone of failure in concrete voided slabs. Voided slabs depict dangerous zones as conventional slabs. Voided slab, being the innovative method of b...
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Article
Cost comparison and numerical investigation of voided slab using Abaqus for different shapes and sizes of void formers with conventional rebar replaced with GFRP rebar
Reinforced concrete is becoming a common building material due to urbanization and rising infrastructure needs. Large member sizes are provided by traditional design techniques to meet structural requirements....
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Article
Numerical investigation and cost comparison on voided slab with replacement of conventional steel with GFRP reinforcement bars using FEM for different shapes and spacing of void formers
Nowadays, several research activities study the effect of voids in concrete elements, especially voided slabs. The concept of voided concrete slabs depends on removing inactive substantial parts without affect...
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Article
Numerical investigation on two-way voided slab using ABAQUS with replacement of conventional steel with GFRP reinforcement bars
The increased urbanization and consequent requirement for infrastructure accelerate the usage of concrete as a building material. Traditional design practices require large member sizes to meet architectural ...
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Article
Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features
To identify metabolite and lipid biomarkers of diabetes in the Indian subpopulation in newly diagnosed diabetic and long-term diabetic individuals. To utilize the global polar metabolomic and lipidomic profile...
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Article
RETRACTED ARTICLE: Periapical dental X-ray image classification using deep neural networks
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Article
Predicting attributes based movie success through ensemble machine learning
The film industry has grown into a multi-billionaire industry in terms of entertainment. The success of the film industry depends on the criteria that how much profit a movie would make which gives the tag of ...
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Article
Identify glomeruli in human kidney tissue images using a deep learning approach
Healthcare is the most important need of today’s era. Healthcare refers to the improvement of the human health by preventing, curing, diagnosing, recovering from a health hazard caused. Thus, to improve the he...
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Chapter and Conference Paper
Double Zone Thermal CVD and Plasma Enhanced CVD Systems for Deposition of Films/Coatings with Eminent Conformal Coverage
The present work is regarding the study of double zone thermal chemical vapor deposition (CVD) and plasma enhanced chemical vapor deposition (PECVD) systems. Here, we have tried to describe the principle, work...
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Article
Understanding cartoon emotion using integrated deep neural network on large dataset
Emotion is an instinctive or intuitive feeling as distinguished from reasoning or knowledge. It varies over time, since it is a natural instinctive state of mind deriving from one’s circumstances, mood, or rel...
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Article
Improved COVID-19 detection with chest x-ray images using deep learning
The novel coronavirus disease, which originated in Wuhan, developed into a severe public health problem worldwide. Immense stress in the society and health department was advanced due to the multiplying number...
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Article
Air and water health: industrial footprints of COVID-19 imposed lockdown
Overall lockdown limitations toward the start of the year 2020 are credited to the annihilation and fatalities worldwide because of COVID-19. Most of the nations revealed rapid growth of COVID-19 cases and sub...
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Article
Open AccessA deep learning approach based hardware solution to categorise garbage in environment
Garbage detection and disposal have become one of the major hassles in urban planning. Due to population influx in urban areas, the rate of garbage generation has increased exponentially along with garbage div...
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Chapter and Conference Paper
Numerical Analysis on Voided Slab with Different Reinforcement on ANSYS 2020R1
The urbanization and increasing demand for infrastructure are increasing the use of reinforced concrete as a primary construction material. The conventional design methods provide large member sizes to fulfill...
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Article
Investigation of charge transport mechanism in hydrothermally synthesized reduced graphene oxide (rGO) incorporated zinc oxide (ZnO) nanocomposite films
The present study aims to investigate the impact of reduced graphene oxide (rGO) incorporation on the charge transport properties of zinc oxide (ZnO) nanocomposite films. ZnO and varied weight percentage of rG...
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Article
A review of novel coronavirus disease (COVID-19): based on genomic structure, phylogeny, current shreds of evidence, candidate vaccines, and drug repurposing
Coronavirus disease (COVID-19) pandemic is instigated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of March 13, 2021, more than 118.9 million cases were infected with COVID-19 worldwide....
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Article
Tsunami in the last 15 years: a bibliometric analysis with a detailed overview and future directions
In the last fifteen years, tsunami science has progressed at a rapid pace. Three major tsunamis: The Indian Ocean in 2004, the 2011 Tohoku tsunami, and the 2018 Palu tsunami were significant landmarks in the h...
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Chapter
COVID-19 on Air Quality Index (AQI): A Necessary Evil?
The disastrous effect of novel coronavirus has become a matter of concern for human health since December 2019. To counteract the spread of the disease, the many countries’ governments-imposed movement restric...
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Chapter and Conference Paper
Computational and Performance Aspects of Face Recognition Method (HOPFALRB)
Biometric face recognition is extensively explored during the last few decades. Face recognition performance measure evaluations provide the model and the implementation process. These performance models will ...
