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Results: 14
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
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
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
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
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