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08. Department of Computer Applications

08. Department of Computer Applications

 

Collection of Computer Applications Department Research Publications

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Recent Submissions

  • Data mining in medicines production system – tablet as a product 
    Kothari, Miral; Sadaria, Priti (International Journal of Electronics and Computer Science Engineering, 2021)
    As the information technology and internet grows, industries are able to store more and more amount of data. With the use of data mining, it is easy to analyze or process the data or to generate knowledge based on the ...
  • Accurate Identification of complex Land use and Land Cover Features using IRS (LISS III) Multispectral Image 
    Desai, Nirav; Shukla, Parag (Journal of Optoelectronics Laser, 2022-07-07)
    Land Use and Land Cover (LULC) is an assortment of activities executed by humans on to the land. The present study was carried out to evaluate supervised classification mechanisms for classification complex Land use and ...
  • A Land Use/Land Cover Classification Of Irs (Liss – Iii) Multispectral Data Using Decision Tree And Svm Classification Mechanism 
    Desai, Nirav; Shukla, Parag (Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2022-10-04)
    Identification of the effect of human activities on our planet concerns over worldwide land use and land cover change is very complex. Land Use and Land Cover refer to the utilization of land through events like agriculture, ...
  • Land Cover Land Use Mapping & Classification Model 
    Desai, Nirav; Dr. Shukla, Parag (International Journal of Mechanical Engineering, 2022-01)
    Measurement of land use and land cover is costly and time-consuming by imperial technique. Remote sensing plays important role in the mappings and classification of land cover features. Indigenous space-born images can be ...
  • A Study for Challenges and Site Selection Criteria of the Data Center 
    Rayjada, Hardiksinh H.; Shukla, Parag C. (Journal of the Maharaja Sayajirao University of Baroda, 2020)
    In this study paper for Data Center Site selection is very important and effect to data center Budget, future expansion and upgradation. Today the data center word has been a topic of discussion, research, study, analysis ...
  • Analytical Research of Data Center Security Implementations and Cyber Attacks 
    Rayjada, Hardiksinh; Dr. Parsania, Vaishali (Palarch’s Journal Of Archaeology Of Egypt/Egyptology, 2020)
    As the Internet is not secure; data center security can be at a threat due to any anonymous attacks. The Physical Security setup on the data center is the set of protocols within the data center facilities. Virtual security ...
  • Comparison of Cloud Data Centre Services and Cost 
    Rayjada, H.; Shukla, P. (IOP Conference Series: Materials Science and Engineering, 2021)
    Comparing with the traditional data centre, cloud computing makes it easier for enterprises to scale their services and lowers the cost of access for smaller companies. The cost comparison between cloud computing and the ...
  • A survey on various image processing techniques and machine learning models to detect, quantify and classify foliar plant disease 
    Naik, Akruti; Thaker, Hetal; Vyas, Dhaval (Proceedings of the Indian National Science Academy, 2021-06)
    Agriculture is one of the significant factors that drive India’s economy. A decrease in the yield of agricultural food crops due to plant diseases results in great loss to the economy of the developing country. Detection ...
  • Creation and Segmentation of image dataset of Mung bean plant leaf 
    Naik, Akruti; Thaker, Hetal; Desai, Nirav (International Conference on Micro-Electronics and Telecommunication Engineering, 2022-02)
    Automated plant disease identification is an enduring research subject. Leaves are available for most of the season, and they have a flat (2d) surface that is why practically, it is physible to detect disease symptoms using ...
  • Early Recognition Of Mung Leaf Diseases Based On Support Vector Machine And Convolutional Neural Network 
    Naik, Akruti; Thaker, Hetal (INFOCOMP Journal of Computer Science, 2022-06)
    This paper proposed a model that Classifies a Mung (Vigna mungo L.) leaf to check if it is healthy or infected with a disease with the aid of Machine Learning and Deep Learning algorithms. The dataset is created in a ...
  • Some new classes of equienergetic graphs 
    Popat, Kalpesh M. (South East Asian Journal of Mathematics and Mathematical Sciences, 2022-08-30)
    The eigenvalue of a graph G is the eigenvalue of its adjacency matrix and the energy E (G) of graph G is the sum of absolute values of its eigenvalues. Two non-isomorphic graphs G1 and G2 of the same order are said to be ...
  • Construction of L-equienergetic graphs using some graph operations 
    Vaidya, S.K.; Popat, Kalpesh M. (AKCE International Journal of Graphs and Combinatorics, Taylor & Francis, 2020)
    For a graph G with n vertices and m edges, the eigenvalues of its adjacency matrix A (G) are known as eigenvalues of G. The sum of absolute values of eigenvalues of G is called the energy of G. The Laplacian matrix of G ...
  • Spectra of graphs obtained by duplication of graph elements 
    Vaidya, Samir K.; Popat, Kalpesh M. (Mathematics Today, 2019-12)
    The concept of graph energy is a frontier between two important branches of basic sciences: namely, Mathematics and Chemistry. The sum of absolute values of eigenvalues of adjacency matrix of graph is called the energy ...
  • Construction of sequence of borderenergetic graphs 
    Vaidya, S.K.; Popat, K.M. (Proyecciones (Antofagasta), 2019)
    The graphs whose energy is same as that of complete graphs are known as borderenergetic graphs. We propose a procedure for the construction of borderenergetic graphs and investigate three sequences of borderenergetic graphs.
  • Some new results on seidel equienergetic graphs 
    Vaidya, Samir K.; Popat, Kalpesh M. (Kyungpook Mathematical Journal, 2019)
    The energy of a graph G is the sum of the absolute values of the eigenvalues of the adjacency matrix of G. Some variants of energy can also be found in the litera ture, in which the energy is defined for the Laplacian ...
  • Mining Frequent Itemset Using Parallel Computing Apriori Algorithm 
    Kamani, Gautam J.; Ghodasara, Y.R.; Parsania, Vaishali S. (International Journal of Innovative Research in Computer and Communication Engineering, 2014-12-01)
    Frequent itemset mining from a large transactional database is a very time consuming process. A famous frequent pattern mining algorithm is Apriori. Apriori algorithm generates a frequent itemsets in loop manner, one ...
  • Improving Raw Milk Quality using Whatsapp – A Rise of Digital India in Indian Dairy Sector 
    Kamani, Krunal.; Parsaniya, Vaishali S. (Global Research and Development Journal for Engineering, 2016-11-01)
    Milk which is considered like nectar in our scriptures is now being adulterated with chemicals, has residues of antibiotics, hormones and pesticides as well as a wide range of microorganisms, including pathogens, in numbers ...
  • Comparative Analysis of Data Mining Algorithms on EHR of Rheumatoid Arthritis of Multiple Systems of Medicine 
    Parsania, Vaishali S.; Kamani, Krunal.; Kamani, Gautam J. (International Journal of Engineering Research and General Science, 2015-02-01)
    Data mining techniques are applied usually to uncover concealed knowledge from massive data stacked up in databases. One of the potential fields of Data mining application is healthcare systems in which the increasingly ...
  • Applying Naïve Bayesian Classifier for Getting Probability Based Result for E-Knowledge Services In Healthcare 
    Kaneria, Vaishali V.; Jani, N.N.; Mehta, Richa.; Kamani, Gautam. (International Journal of Engineering Research & Technology, 2012-10-01)
    In the existing health system various systems of medicine are available. Here a special EHR has been prepared to integrate multiple SOM. By applying some data mining technique result can be derived intelligently from the ...
  • Applying Naïve bayes, BayesNet, Part, JRip and OneR Algorithms on Hypothyroid Database for Comparative Analysis 
    Parsania, Vaishali S.; Jani, N.N.; Bhalodiya, Navneet H. (International Journal of Darshan Institute on Engineering Research & Emerging Technologies, 2014-06-01)
    This research paper intends to provide comparative analysis of Data Mining classification algorithms. Some benchmarking classification algorithms like Naïve Bayes, Bayesian Network, JRip, OneR and PART are selected based ...