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Article
Evaluation of economic, environmental, and social impacts of COVID on rural tourism
Tourism is widely recognized as the best alternative for improving the financial situation of disadvantaged neighbourhoods and villages, given that they have the necessary capacity for the growth of tourism. H...
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Article
Improved encryption and obfuscation process of lightweight secured auditable cloud storage with data dynamics
In order to safeguard the cloud-based applications, systems, and user access related to them, several technological solutions, policies, and processes are put forward, termed cloud data security. The term Secu...
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Chapter and Conference Paper
Comparative Study of Various Machine Learning Algorithms for American Sign Language Recognition
This research paper presents a comparative study on various machine learning algorithms for sign language detection. The objective of this study is to find the sign language identification method that is most ...
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Chapter and Conference Paper
A Task Scheduling Algorithm for Optimizing Quality of Service in Smart Healthcare System
The idea of smart healthcare has progressively gained traction as a result of advancements in information technology. It is now possible to provide more efficient, convenient, and customized health care via th...
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Chapter and Conference Paper
A Smart and Intelligent Alcohol Detection System for Corporate Organization
In today’s world, we find that life is becoming increasingly busy and hectic with each passing day, and as a result, employees of any corporate organization work extremely hard to meet project deadlines. Furth...
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Chapter and Conference Paper
Green Cloud Computing: Achieving Sustainability Through Energy-Efficient Techniques, Architectures, and Addressing Research Challenges
Green cloud computing aims to reduce the environmental impact of cloud computing. It contributes significantly to the world's energy use and carbon emissions. The cloud computing industry allows users from all...
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Chapter and Conference Paper
Experimenting Transfer Learning and Machine Learning on Endoscopy Database with Augmentation
Endoscopy is being the most extensively used diagnostic tool for treatment of organs inside humans. However, many challenges exist that are faced by doctors (endoscopists) including: visual interpretation diff...
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Chapter and Conference Paper
Estimation of Reproduction Number of COVID-19 for the Northeastern States of India Using SIR Model
Coronavirus disease (COVID-19) has been the cause of over a million deaths across the globe. The pandemic has affected the social, economic, and psychological facets of human life. India currently ranks second...
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Article
Denial of ARP spoofing in SDN and NFV enabled cloud-fog-edge platforms
In order to support a variety of Internet of Things (IoT) and smart city applications, it is necessary to provide computing and networking resources at cloud, fog and edge levels. Fortunately, evolution of Net...
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Chapter and Conference Paper
Ensemble Model to Predict Credit Card Fraud Detection Using Random Forest and Generative Adversarial Networks
Recently, the number of frauds in credit card-based online payments has grown dramatically, pushing banks and e-commerce organizations to implement automatic fraud detection systems, performing data mining on ...
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Article
Serum 25-Hydroxyvitamin D Levels and the Risk of Dysplasia and Esophageal Adenocarcinoma in Patients with Barrett’s Esophagus
To date, there are no studies reporting an association between vitamin D and Barrett’s esophagus (BE), the precursor for esophageal adenocarcinoma (EAC).
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Chapter and Conference Paper
Black Hole Attack Detection in MANET Using Mobile Trust Points with Clustering
MANET is a set of mobile nodes in which communication occurs between them using wireless links. Infrastructure less, dynamical topology and Lack of central communication of nodes makes it vulnerable to various...
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Chapter and Conference Paper
Default α-Logic for Modeling Customizable Failure Semantics in Workflow Systems Using Dynamic Reconfiguration Constraints
In this paper, we propose a logic based framework to handle failures that occur during the execution of workflows by encoding the failures in formalism of a default normal modal logic. Default logic provides a se...
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Chapter and Conference Paper
Collaborative Curation of Data from Bio-medical Texts and Abstracts and Its integration
We propose an inexpensive and scalable approach for curation that takes advantage of automatic information extraction methods as a starting point, and is based on the premise that if there are a lot of article...
