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State of the Art in Authorship Attribution With Impact Analysis of Stylometric Features on Style Breach Prediction
The most influential research was studied that spans over the domains from Authorship attribution and stylometry. The reference material contributes robust classifiers with reasonable array of feature extraction techniques, such...
Published by: IGI Global
An Improved Firefly Algorithm-Based 2-D Image Thresholding for Brain Image Fusion
In this article, an attempt is made to diagnose brain diseases like neoplastic, cerebrovascular, Alzheimer's, and sarcomas by the effective fusion of two images. The two images are fused in three steps. Step 1. Segmentation: The...
Published by: IGI Global
An Improved Firefly Algorithm-Based 2-D Image Thresholding for Brain Image Fusion
In this article, an attempt is made to diagnose brain diseases like neoplastic, cerebrovascular, Alzheimer's, and sarcomas by the effective fusion of two images. The two images are fused in three steps. Step 1. Segmentation: The...
Published by: IGI Global
A 2D Histogram-Based Image Thresholding Using Hybrid Algorithms for Brain Image Fusion
In this article an effort is made to identify brain tumor disease such as neoplastic, cerebrovascular, Alzheimer's, lethal, sarcoma diseases by successful fusion of images from magnetic resonance imaging (MRI) and computed...
Published by: IGI Global
Monitoring IaaS Cloud for Healthcare Systems
Healthcare functionality is enriched by cloud services which offers a perspective for broad integration and interoperability. Cloud-based facilities support healthcare systems to remain connected to remote access devices to...
Published by: IGI Global
SLAMMP Framework for Cloud Resource Management and Its Impact on Healthcare Computational Techniques
Technology such as cloud computing(CC) is constantly evolving and being adopted by the industries to manage their data and tasks. CC provides the resources for managing the tasks of the cloud users. The acceptance of the CC in...
Published by: IGI Global
Performance Characteristics of Discrete-Time Queue With Variant Working Vacations
P. Laxmi, Rajesh P.
Apr 01, 2020
This article analyzes an infinite buffer discrete-time single server queueing system with variant working vacations in which customers arrive according to a geometric process. As soon as the system becomes empty, the server...
Published by: IGI Global
Application-Specific Discriminant Analysis of Cardiac Anomalies Using Shift-Invariant Wavelet Transform
Automatic arrhythmia detection in electrocardiogram (ECG) using supervised learning has gained significant considerations in recent years. This paper projects the performance analysis of classifiers such as support vector...
Published by: IGI Global
A Business Case Study on Aspiring Rural Giant - The Mishra's
Retail Industry is one among the leading sectors in the Nation. The Investors in Retail sector have been in the positive sphere provided they match to the demand – supply avenues. Another prominent Sector in the Nation is the...
Published by: Singh Publication
A TISM and MICMAC Analysis of Factors During the COVID-19 Pandemic in the Indian Apparel Supply Chain
The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the...
Published by: IGI Global
Z-Test-Based Analysis for Validating the Effectiveness of NPTEL E-Learning Modules
The present article proposes use of a z-model to validate learning progress after experimenting on student’s performance. A statistical map of z-values is used to calculate the z-value. This paper is divided into two parts -...
Published by: IGI Global
A Multi-Model Framework for Grading of Human Emotion Using CNN and Computer Vision
Emotion analysis is an area which is been widely used in the forensic crime detection domain, a mentoring device for depressed students, psychologically affected patient treatment. The current system helps only in identifying...
Published by: IGI Global
An Analysis for the Use of Simulation Modeling in Reducing Patient Waiting Time in Emergency Departments (EDs) in Hospitals
The emergency department (ED) plays crucial role in providing 24-hour healthcare services to the ill with speed, accuracy, and sympathy. ED faces the problem of patient waiting time, which leads to patient dissatisfaction and...
Published by: IGI Global
Modelling the Influencing Factors on Mobile Learning Tools
In this study, the authors concerned about influencing factors on mobile learning tools for the applicable and sustainable mobile learning environment. The authors proposed an impact model with five influencing factors namely...
Published by: IGI Global
A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images
The novel Covid-19 is one of the leading cause of death worldwide in the year 2020 and declared as a pandemic by world health organization (WHO). This virus affecting all countries across the world and 5 lakh people die as of...
Published by: IGI Global
Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image
Volumetric liver segmentation is a prerequisite for liver transplantation and radiation therapy planning. In this paper, dilated deep residual network (DDRN) has been proposed for automatic segmentation of liver from CT images....
Published by: IGI Global
Controller Design for Temperature Control of MISO Water Tank System
This article introduces the design of split range control and fuzzy logic control for temperature control of the MISO (multiple input single output) water tank scheme. A multiple input single output (MISO) system is considered...
Published by: IGI Global
Tool Wear and Temperatures Analysis While Machining Ti-6Al-4V in MQCL-MIST Environment
Sustainable machining of titanium alloys have deficiency of studies on the built-up edges over the cutting tools and temperature correlation in minimum quantity cooling lubrication (MQCL) environment. Researchers focused on...
Published by: IGI Global
Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks
In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of...
Published by: IGI Global
Novel 2-D Histogram-Based Soft Thresholding for Brain Tumor Detection and Image Compression
The objective of image compression is to extract meaningful clusters in a given image. Significant groups are possible with absolute threshold values. 1-D histogram-based multilevel thresholding is computationally complex and...
Published by: IGI Global
Internet of Things and Its Significance on Smart Homes/Cities
Smart homes and cities is one of the crucial topics for an individual of any age that requires almost zero computer literacy in order to benefit the leisure and luxury offered by smart homes and cities. Benefits offered by smart...
Published by: IGI Global
Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image
Volumetric liver segmentation is a prerequisite for liver transplantation and radiation therapy planning. In this paper, dilated deep residual network (DDRN) has been proposed for automatic segmentation of liver from CT images....
Published by: IGI Global
An Approach to Prevent Air Pollution and Generate Electricity Using Nanostructured Carbon Materials
Pollution is one of the major threats for the environment as well as society. It causes severe problems for the living organisms and can gives birth of various unknown issues. Different sources like cars, industrial belts...
Published by: IGI Global
Artificial Intelligence Biosensing System on Hand Gesture Recognition for the Hearing Impaired
AI technologies have the potential to help deaf individuals communicate. Due to the complexity of sign fragmentation and the inadequacy of capturing hand gestures, the authors present a sign language recognition (SLR) system and...
Published by: IGI Global