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Artificial Intelligence and Machine Learning for Job Automation
Job automation is a critical decision that has brought about profound changes in the workplace. However, the question of what drives job automation remains unclear. This study conducts an interdisciplinary review of five...
Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures
Recognition and classification of traffic signs and other numerous displays on the road are very crucial for autonomous driving, navigation, and safety systems on roads. Machine learning or deep learning methods are generally...
Distance-decay functions of travel to work trips in India.
Rahul Goel
Nov 21, 2018
In 2011, for the first time, Census in India reported travel distance and mode of travel for the workers. The distance reported is in the form of aggregate counts for each mode of travel in 7 distance bins (0-1 km, 2-5 km...
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Effect of Social Media Personalization on Brand Strength
Personalization is now used at every corner and position of social media sites. Using Personalization in marketing communication is an effective communication strategy for many businesses to improve customer satisfaction...
Modelling of road traffic fatalities in India.
Rahul Goel
Mar 07, 2018
Passenger modes in India include walking, cycling, buses, trains, intermediate public transport modes (IPT) such as three-wheeled auto rickshaws or tuk-tuks, motorised two-wheelers (2W) as well as cars. However, epidemiological...
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UPRISING DIGITAL CYBER-ATTACKS AND STAGNANT CYBER LAWS WORLDWIDE
Rahul Parekh
Jan 01, 0001
Cybersecurity is vast area for research with multiple domains. Any individual can focus on minimum topics for research and it becomes cumbersome to follow various tools and technique. In this research paper, I have tried to...
Selection of ferroelectric ceramics for transducers and electrical energy storage devices

The selection of an optimal ferroelectric material according to the user requirements is a crucial as well as onerous task; examples of such requirements include high efficiency, sensitivity, wide operating temperature, and...

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Automobile Predictive Maintenance Using Deep Learning
There are three types of maintenance management policy Run-tofailure (R2F), Preventive Maintenance (PvM) and Predictive Maintenance (PdM). In both R2F and PdM we have the data related to the maintenance cycle. In case of...
Modeling Business-to-Business Sharing Drivers Using a Hierarchical Framework Under Uncertainties
This study contributes to assessing sharing economy concepts such as sustainability, organizational efficiency, and stakeholder engagement, and develops business-to-business sharing drivers in a hierarchical structure. Job shop...
Regulation of regulatory T cells in cancer.
The inflammatory response to transformed cells forms the cornerstone of natural or therapeutically induced protective immunity to cancer. Regulatory T (Treg) cells are known for their critical role in suppressing inflammation...
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Contextualising Safety in Numbers
INTRODUCTION: The 'Safety in Numbers' (SiN) phenomenon refers to a decline of injury risk per time or distance exposed as use of a mode increases. It has been demonstrated for cycling using cross-sectional data, but little...
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An analysis of lead-free (Bi<sub>0.5</sub>Na<sub>0.5</sub>)<sub>0.915</sub>-(Bi<sub>0.5</sub>K<sub>0.5</sub>)<sub>0.05</sub>Ba<sub>0.02</sub>Sr<sub>0.015</sub>TiO<sub>3</sub> ceramic for efficient refrigeration and thermal energy harvesting
This article demonstrates the colossal energy harvesting capability of a lead-free (BiNa)-(Bi K)BaSr TiO ceramic using the Olsen cycle. The maximum harvestable energy density estimated for this system is found to be 1523 J/L...
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Single-Channel Region-Based Speller for Controlling Home Appliances
The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be...
An Ensemble Approach for Prediction of Cardiovascular Disease Using Meta Classifier Boosting Algorithms
There are very few studies are carried for investigating the potential of hybrid ensemble machine learning techniques for building a model for the detection and prediction of heart disease in the human body. In this research...
Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries.
As humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be crippling to a...
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Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries
Abstract: As humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be...
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Anti-ferroelectric ceramics for high energy density capacitors

With an ever increasing dependence on electrical energy for powering modern equipment and electronics, research is focused on the development of efficient methods for the generation, storage and distribution of electrical...

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First principles insights into improved catalytic performance of BaTiO<sub>3</sub>- graphene nanocomposites in conjugation with experimental investigations

The present work aims to provide first principles insights into the catalytic performance of composites based on BaTiO3 particles decorated over reduced graphene oxide (rGO). Examination regarding the orbital...

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