02. Faculty of Science: Recent submissions

  • Product Cordial Labeling in the Context of Tensor Product of Graphs 
    Vaidya, S.; Vyas, N. (Journal of Mathematics Research, 2011-08)
    For the graph G1 and G2 the tensor product is denoted by G1(Tp)G2 which is the graph with vertex set V(G1(Tp)G2) = V(G1) × V(G2) and edge set E(G1(Tp)G2) = {(u1, v1), (u2, v2)/u1u2 E(G1) and v1v2 E(G2)}. The graph Pm(Tp)Pn ...
  • Steroid and fatty acid contents from the leaves of Carica Papaya 
    Devmurari, Vijay V.; Patel, Poojaben P.; Jadeja, Rajeshreeba A.; Bhadaniya, Cameykumari P.; Aghara, Priti P.; Patel, Anilkumar S.; Tala, Satishkumar S.; Savant, Mahesh M.; Ladva, Kartik D.; Nariya, Pankajkumar B. (Folia Medica(Plovdiv), 2021-06-30)
    Aim: To extract and identify the non-polar entities from the leaves of Carica papaya, a plant used for medicinal purpose as folk medicine. Materials and methods: Petroleum ether extract of the Carica papaya leaves was ...
  • Dynamic behaviours of water droplet impacting antiwetting plant leaves 
    Khistariya, Anand; Nigmatullin, Rinat; Gao, Fengge (Research Journal of Chemical Sciences, 2019)
    Natural minute structures have been analyzed on numerous kind of surfaces like rose leaves, which are helpful for the development of biomimetic materials for self cleaning, fluidic drag reduction, bio-surface, anti-biofouling ...
  • Droplet investigation on hydrophobic artificial and natural surfaces: Molecular weight and viscosity of polymer effects the droplet distortion 
    Tank, Ravi; Khistariya, Anand (Journal of Chemistry and Chemical Sciences(An International Research Journal), 2022-02)
    Contact angle measurement of water, benzyl alcohol, ethylene glycol and glycerol are performed on hydrophobic surfaces of six polymers and four natural surfaces. We performed drop impacts dynamic of water droplets on ...
  • 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 ...
  • A study of recommendation system in E-commerce 
    Gohel, Divyesh; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    Recommendation Systems (RS) are commonly employed in the e-commerce business to deal with the problem of information overload. Because there is so much information available these days, users are having trouble discovering ...
  • Hybrid machine learning in classification methods for HCR in gujarati language 
    Doshi, Priyank D.; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    The problem of recognizing Gujarati Handwritten character with vowels opening new future scope where one can use smart phone, website or any handy scanner to convert hand written Gujarati Language into text. It will ...
  • Recommender system: Techniques, comparison & solutions 
    Gohel, Divyesh; Vanjara, Pratik (2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022-04)
    There are several benefits of e-commerce websites that include cost effectiveness, convenience, flexibility, fast delivery, increase in income, etc. With these benefits, there is crucial role of e-commerce websites ...
  • A comparative study of procedural language C and object oriented programming language C++ 
    Vagadiya, Nehal Amardip; Kotak, Smit Amitbhai (KCG Journals, 2020)
    Language is considered as a basic means of communication and human interaction for thousands of years. Language consists of words and sentences that people need to communicate and convey the meaning of same. Meanwhile ...
  • Image set quality optimization for handwritten gujarati character and its modifier recognition 
    Doshi, Priyank D.; Vanjara, Pratik A. (IEEE Xplore, 2022-03)
    The problem of recognizing handwritten Gujarati characters has been tried by many researchers but still it requires enough work from vowel recognition up to its online application. The problem becomes even more complex ...
  • RP-HPLC method development, validation and pharmacokinetic applicability in preclinical evaluation of rhein treated with novel diacerein eutectics 
    Patel, Rajeshri D.; Raval, Mihir K.; Pethani, Trupesh M.; Waghela, Bhargav N.; Shukla, Riddhi H.; Buch, Prakruti R.; Vadalia, Jigna M.; Sharma, Tejas P.; Airao, Vishal A. (Biomedical Chromatography, Wiley Analytical Science, 2019-07)
    The current study represents a bioanalytical method for the estimation of rhein (Rh, an active metabolite of diacerein, DIA) in rats treated with novel DIA eutectics to investigate the pharmacokinetics of DIA. A simple ...
  • 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 ...

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