Data Analytics Using Satellite Remote Sensing in Healthcare Applications

Lakhtaria, Kamaljit I.; Iyer, Sailesh

doi:10.1007/978-3-030-20212-5_7

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…The turbo and auto model become limited after the trail version expire. Orange [26][27][28][29] is a python library can be imported and used as library within python 3 or installed directly from GitHub repository. The version used in this work is part of Anaconda Navigator.…”

Section: Research Methodmentioning

confidence: 99%

Actual Needs Criteria for Assessing Data Classification Platforms

Merzah

2021

sjpas

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A Software tools have an important role in different research areas. Generally they provide time and efforts saving. In computer science filed these tools can help in communications, web site development, software metrics finding, data mining, machine learning and many other fields. There are many specialized tools built to support specific purpose. Users and researchers spend a lot of time and efforts to select between the large amounts of the available platforms. Each has its own characteristics, some are open source and the other licensed with trial version to test them. In this work we will focus on some platforms related to data mining research area. The selected tools represent widely used and trusted ones with most updated version. We will study platforms from different perspectives. They have different data processing features, but they support common algorithms helps us to evaluate between them. Four data mining tools and four data set were selected. The assessment procedure done from multi-points of view as we will see in the methodology section of this article. The criteria collected from a survey done among a population of researchers interested in the field of data mining and machine learning. The Contribution of this work is to assess the selected platforms depending on new actual needs criteria. These criteria give a clear idea for the researchers to determine the best platform according to their resources. The results highlighted the power for each platform. Orange and Weka show best performance over the rest. These results will be the guide for beginners or researchers out the computer science field to select the appropriate platform for their needs and available resources.

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Section: Research Methodmentioning

confidence: 99%

Actual Needs Criteria for Assessing Data Classification Platforms

Merzah

2021

sjpas

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“…In addition, the study describes a distributed application that provides users with information on a product's Abhangi A.A., Iyer S. (2021) (11) examined semantic web research and discusses the different issues that have been encountered, such as scalability, live efficient storage mechanism and processing through Supply Chain mechanism. Lakhtaria K.I., Iyer S.S. (2020) (12) proposed a Data Analytics System Using Satellite Remote Sensing, which explains how data mining and image processing are important components of efficient water management. Images of water sources obtained by satellite aid in the identification of clusters, depth, and purity.…”

Section: Yan Et Al(2013)mentioning

confidence: 99%

Traceability Study on Fishery Supply Chain Using Blockchain

Jadhav¹,

Iyer²

2022

ECS Trans.

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The research paper proposes to review concept traceability systems in fishery value chain with main focus upon the survey traceability system in fishery value chain. For increasing a trust of consumers and also reducing a risk related with food utilization, basically a Food Traceability System is come with, which provides pertinent information regarding the supply from the source to destination. Utilization of fish is increasing over time. Now a day’s 50% fish use up by humans coming from aquaculture domain. When we are comparing sea food the traceability of fish products is not as good as it is for other food products. most crucial when we are comparing sea food with other food products, this paper gives review regarding different traceability forms and also discusses a new approach of fishery supply chain which overcomes the other issues related with building a trust while purchasing a product.

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“…The algorithm removes the drawback of association rule mining of Apriori algorithm. Apriori algorithm is used to find the frequent itemset [18]. It is easy algorithm for finding  ISSN: 2252-8938 Int J Artif Intell, Vol.…”

Section: Algorithm For Optimum Indices Selectionmentioning

confidence: 99%

Novel approach of association rule mining for tree canopy assessment

More¹,

Nikam²,

Banerjee

2021

IJ-AI

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The evolution of technology and availability of voluminous satellite images are bringing a new scenario in satellite image classification where a performance efficient method for predictive analysis of satellite images for land cover classification needs to be devised. As urban areas are growing at faster rate, special attention needs to be given to solve tree canopy assessment problem. Vegetation indices are calculated from spectral information of satellite images. Hundreds of such vegetation indices are available to detect vegetation from a satellite image. The contribution of this paper is designing an improved Apriori algorithm to select optimal number of vegetation indices for tree canopy assessment. In this research, we propose a novel computational approach that allows the improvement of results. It selects optimal combination of vegetation indices and applies principal component analysis on it. It uses a greedy approach based on Apriori algorithm. This study emphasizes on assessment of tree canopy using GPU-enabled environment for performance-efficient assessment. The results achieved, are comparable to state-of-the-art techniques, with an accuracy of 96%. The research has considered 4 years data for Mumbai city of India. This research is useful for Green India Mission of India to assess tree canopy of urban region.

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Data Analytics Using Satellite Remote Sensing in Healthcare Applications

Cited by 3 publications

References 4 publications

Actual Needs Criteria for Assessing Data Classification Platforms

Actual Needs Criteria for Assessing Data Classification Platforms

Traceability Study on Fishery Supply Chain Using Blockchain

Novel approach of association rule mining for tree canopy assessment

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