373
20
11858
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Tomato Plant Disease Classification Using Transfer Learning
Subject
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Accuracy; Convolutional Neural Network; Transfer learning; VGG-19
Description
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Detecting and categorizing diseases in tomato plants poses a significant hurdle for farmers, resulting in considerable agricultural losses and economic harm. The prompt underscores the significance of promptly identifying and classifying diseases to enact successful management strategies. Convolutional Neural Networks (CNNs) have demonstrated their effectiveness in tasks involving image classification, notably in categorizing diseases that impact tomato plants. However, CNN models can be computationally expensive to train and require large datasets of labeled images. Utilizing advanced CNN models can enhance the efficacy of classification models for tomato plant diseases, simultaneously decreasing computational expenses and the demand for extensive training data. Enhanced CNN models can be developed using a variety of techniques, such as transfer learning, data augmentation, and residual networks. This project aims to implement a tomato plant disease classification model using an enhanced convolution neural network. This work uses the lifelong learning method which is the model that allows one to learn new tasks without forgetting previous knowledge. Leveraging sophisticated CNN models can improve the effectiveness of classification models for tomato plant diseases, while also reducing computational costs and the need for extensive training data. It is beneficial for tasks where there is limited data available to train a model from scratch. 2024 IEEE.
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Poly A.; Vetriveeran D.; Balamurugan M.
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2024 5th International Conference for Emerging Technology, INCET 2024
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/INCET61516.2024.10593634" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET61516.2024.10593634</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200974397&doi=10.1109%2FINCET61516.2024.10593634&partnerID=40&md5=548a59ab14021813f06cdfaabbf30204" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200974397&doi=10.1109%2fINCET61516.2024.10593634&partnerID=40&md5=548a59ab14021813f06cdfaabbf30204</a>
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ISBN: 979-835036115-5
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Online
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English
Type
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Conference paper
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Poly A., Depart of Computer Science and Engineering, CHRIST (Deemed to be) University, Bangalore, Kengeri, India; Vetriveeran D., Depart of Computer Science and Engineering, CHRIST (Deemed to be) University, Bangalore, Kengeri, India; Balamurugan M., Depart of Computer Science and Engineering, CHRIST (Deemed to be) University, Bangalore, Kengeri, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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5G-UFMC System For PAPR Reduction Using SRC-Precoding With Different Numerologies
Subject
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5G; and Beyond 5G (B5G); Peak-to-Average Power Ratio (PAPR); SRC-Precoding; Universal-Filter-Multicarrier (UFMC)
Description
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Universal Filtered Multicarrier (UFMC) has been incorporated in 5G and is likely to be considered in future generations (B5G). The prominent limitation of UFMC manifests as a high Peak-to-Average Power Ratio (PAPR). Our suggested approach to address the Peak-to-Average Power Ratio (PAPR) issue in UFMC signals involves the application of diverse precoding matrices, including Square Root Raised Cosine Function (SRC), Discrete Cosine Transform (DCT), and Discrete Hartley Transform (DHT).This technique reduces the PAPR performance of UFMC signals over current state of the art methods. In square root raised cosine (SRC) precoding techniques, a novel precoding matrix is adapted for minimizing PAPR and improvement of BER respectively. Results show that the different subcarrier was applied and surpasses all existing techniques in reduction of PAPR and BER improvement. A novel SRC-Precoding technique reduces PAPR by 5dB for considering 512 sample points with QAM modulation as compared to 10dB for the conventional technique. Additionally, the Bit Error Rate Performance is maintaining 14dB when compared to conventional technique. Furthermore, the evaluation of Bit Error Rate (BER) performance and Peak-to-Average Power Ratio (PAPR) in the UFMC system reveals superior results compared to conventional technique. 2024 IEEE.
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Ponmani Raja M.; Sujatha S.; Prajoon P.
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Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 559-564.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ICCSP60870.2024.10543348" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSP60870.2024.10543348</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195908118&doi=10.1109%2FICCSP60870.2024.10543348&partnerID=40&md5=b7d8a9120ec5c135655a66c347ef4eda" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195908118&doi=10.1109%2fICCSP60870.2024.10543348&partnerID=40&md5=b7d8a9120ec5c135655a66c347ef4eda</a>
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ISBN: 979-835035306-8
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Online
Language
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English
Type
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Conference paper
Coverage
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Ponmani Raja M., Christ (Deemed To Be University), Bengaluru, India; Sujatha S., Christ (Deemed To Be University), Department of ECE, Bengaluru, India; Prajoon P., Jyothi Engineering College, Department of ECE, Thrissur, India
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Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Carbon dots as an effective material in enzyme immobilization for sensing applications
Subject
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Carbon quantum dots (CQDs); electrochemical and fluorescence sensing; enzyme immobilization
Description
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In carbon dots (CDs), both graphene quantum dots and carbon quantum dots were the latest entrants to the carbon family, all of which are spherical carbon nanoparticles of size <10nm. CDs have found their way in the various applications in the field of chemical sensing, biosensing, bioimaging, photocatalysis, nanomedicine, and electrocatalysis ever since their discovery. CDs provide interesting attributes to electrochemical and optical biosensing using enzyme biosensor due to they have desired advantages of biocompatibility, excellent physicochemical properties, high resistance to photo bleaching, intrinsic non/low-toxicity, high solubility, large specific surface area for the binding of enzymes, and low quantum yields, as well as their ability for modification with the attractive surface area. Surface active functional groups such as epoxide, hydroxyl(OH), and carboxylic acid (COOH) groups can be used for the immobilizing biomolecules on CDs. The enzyme immobilization is a process which is generally carried out by ionic/covalent interaction, encapsulation, and adsorption. The process of adsorption is considered to be a simple, effective, and economical method for enzyme immobilization. Thus enzymes immobilized on CDs have shown significant improvement in both activity and stability. This chapter aims to throw light on the progress and development of enzyme immobilization (e.g., laccase, bovine serum albumin, and horseradish peroxidase) in the CDs, which acts as a probe for sensing application, with laying emphasis on their synthesis along with the challenges faced in this exciting and promising field. 2023 Elsevier Inc. All rights reserved.
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Ponmudi K.; Cherian A.R.; Varghese A.
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Carbon Dots in Analytical Chemistry: Detection and Imaging, pp. 241-253.
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Elsevier
Date
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2022-01-01
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<a href="https://doi.org/10.1016/B978-0-323-98350-1.00006-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-98350-1.00006-2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143349838&doi=10.1016%2FB978-0-323-98350-1.00006-2&partnerID=40&md5=010900e6050bd670eded47037d07b6c2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143349838&doi=10.1016%2fB978-0-323-98350-1.00006-2&partnerID=40&md5=010900e6050bd670eded47037d07b6c2</a>
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ISBN: 978-032398350-1; 978-032398573-4
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Online
Language
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English
Type
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Book chapter
Coverage
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Ponmudi K., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Cherian A.R., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Title
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Articles
Article
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Title
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Employing bioactive compounds derived from Ipomoea obscura (L.) to evaluate potential inhibitor for SARS-CoV-2 main protease and ACE2 protein
Subject
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ADME; GC-MS; Ipomoea Obscura (L.); Molecular docking; SARS-CoV-2
Description
An account of the resource
Angiotensin converting enzyme 2 (ACE2) and main protease (MPro) are significant target proteins, mainly involved in the attachment of viral genome to host cells and aid in replication of severe acute respiratory syndrome-coronaviruses or SARS-CoV genome. In the present study, we identified 11 potent bioactive compounds from ethanolic leaf extract of Ipomoea obscura (L.) by using GC-MS analysis. These potential bioactive compounds were considered for molecular docking studies against ACE2 and MPro target proteins to determine the antiviral effects against SARS-COV. Results exhibits that among 11 compounds from I. obscura (L.), urso-deoxycholic acid, demeclocycline, tetracycline, chlorotetracycline, and ethyl iso-allocholate had potential viral inhibitory activity. Hence, the present findings suggested that chemical constitution present in I. obscura (L.) will address inhibition of corona viral replication in host cells. 2020 The Authors. Food Frontiers published by NCU, NWU, JSU, ZJU & FAFU and John Wiley & Sons Australia, Ltd.
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Poochi S.P.; Easwaran M.; Balasubramanian B.; Anbuselvam M.; Meyyazhagan A.; Park S.; Bhotla H.K.; Anbuselvam J.; Arumugam V.A.; Keshavarao S.; Kanniyappan G.V.; Pappusamy M.; Kaul T.
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Food Frontiers, Vol-1, No. 2, pp. 168-179.
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John Wiley and Sons Inc
Date
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2020-01-01
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<a href="https://doi.org/10.1002/fft2.29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/fft2.29</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099958364&doi=10.1002%2Ffft2.29&partnerID=40&md5=e8bc8d52cd17c7b35444b8504b942e32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099958364&doi=10.1002%2ffft2.29&partnerID=40&md5=e8bc8d52cd17c7b35444b8504b942e32</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 26438429
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Online
Language
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English
Type
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Article
Coverage
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Poochi S.P., Department of Biochemistry and Bioinformatics, Karpagam Academy of Higher Education, Coimbatore, 641021, India; Easwaran M., Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Anbuselvam M., Department of Biotechnology, Selvamm College of Arts and Science, Namakkal, 637003, India; Meyyazhagan A., Euroespes Biomedical Research Centre, International Centre of Neuroscience and Genomic Medicine, Corunna, 15165, Spain, Department of Life Sciences, Christ (Deemed to be University), Bangalore, 560029, India; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Bhotla H.K., Department of Medicine, Section of Internal and Cardiovascular Medicine, University of Perugia, Perugia, Italy; Anbuselvam J., Department of Animal Science, Bharathidasan University, Tiruchirappalli, 620024, India; Arumugam V.A., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Keshavarao S., and Emeritus (Rtd.), Human Genetics Laboratory, Department of Zoology, School of Life Sciences, Bharathiar University, Tamil Nadu, Coimbatore, 46, India; Kanniyappan G.V., Department of Chemistry, College of Natural and Computational Sciences, Aksum University, Ethiopia; Pappusamy M., Department of Life Sciences, Christ (Deemed to be University), Bangalore, 560029, India; Kaul T., Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Generation of Dynamic Table Using Magic Square to Enhance the Security for the ASCII CODE Using RSA
Subject
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Dynamic magic square and security; Public key cryptosystem; RSA; Static magic square
Description
An account of the resource
The efficiency of any cryptosystem not only depends on the speed of the encryption and decryption processes but also on its ability to produce different ciphertexts for the same plaintext. RSA, the public key cryptosystem, is the most famous and widely accepted cryptosystem, but it has some security vulnerabilities because it produces the same ciphertext for identical plaintexts occurring in several places. To enhance the security of RSA, magic square-based encoding models have been proposed in the literature. Although magic square-based encoding models have been proposed, they are static. Thus, this paper introduces a dynamic-based magic square with RSA, where encryption and decryption are performed using numbers generated from the magic square instead of ASCII values. Unlike the static magic square, the proposed dynamic magic square allows users to specify the starting and ending numbers in any position rather than fixed positions. In the proposed dynamic magic square generation, different 4 4 magic square templates are created, and 16 16 magic squares are generated from them. Experimental results clearly demonstrate the improved security of RSA. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.
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Pooja N.G.; Mani K.; Devi U.; Chandar S.K.
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SN Computer Science, Vol-5, No. 7
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Springer
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s42979-024-03182-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-024-03182-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205042735&doi=10.1007%2Fs42979-024-03182-9&partnerID=40&md5=d8aae29f1014d7890c97086246a642fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205042735&doi=10.1007%2fs42979-024-03182-9&partnerID=40&md5=d8aae29f1014d7890c97086246a642fe</a>
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Restricted Access
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ISSN: 2662995X
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Online
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English
Type
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Article
Coverage
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Pooja N.G., Nehru Memorial College (Autonomous) Puthanampatti Tiruchirapalli, Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirapalli, India; Mani K., Department of Computer Science, Nehru Memorial College (Autonomous) Puthanampatti Tiruchirapalli, Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirapalli, India; Devi U., Department of Computer Science, Nehru Memorial College (Autonomous) Puthanampatti Tiruchirapalli, Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirapalli, India; Chandar S.K., Department of Computer Science, Christ University, Hosur, Bangalore, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Prediction of software defects using object-oriented metrics
Subject
The topic of the resource
CK metrics; Object-oriented metrics; Software defects
Description
An account of the resource
In recent years, many of the object-oriented software metrics were proposed for increasing the quality of software design such as prediction of defects and the maintainability of classes and methods. As the word metrics is frequently used for specific measurements taken on a particular process or item and in object-oriented metrics the metrics are the unit of measurements that is used to characterize the data.The fundamental point of this research is to identify the significance difference between software metrics which observes defect prediction and also study about their relation involving in the object oriented metrics that is named as "Chidamber and Kemerer metric suite" which is also known as "CK metrics suite", the number of defects and then finally decide the differences of the metrics in ordering to Eclipse classes as defective and selected with regard to defect prediction. IAEME Publication.
Creator
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Pooja U.; Nizar Banu P.K.
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International Journal of Civil Engineering and Technology, Vol-9, No. 1, pp. 889-899.
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IAEME Publication
Date
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2018-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041682486&partnerID=40&md5=18d1d38943b165464954d33c6f069f47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041682486&partnerID=40&md5=18d1d38943b165464954d33c6f069f47</a>
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ISSN: 9766308
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pooja U., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Articles
Article
Faculty Publications -Articles
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The Role of Imposter Phenomenon on Self-Handicapping and Psychological Distress among Young Adults
Subject
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Imposter Phenomenon; Psychological Distress and Young Adults; Self-Handicapping
Description
An account of the resource
The Imposter Phenomenon (IP), characterized by persistent self-doubt and a fear of being exposed as a fraud despite objective success, is a growing concern, particularly among young adults. This study explores the intricate relationships between the Imposter Phenomenon, Self-handicapping, and Psychological Distress in a sample of 242 young adults aged 1825. The data is analysed using descriptive statistics, correlation, and regression. Findings from a comprehensive survey, utilizing the Clance Impostor Phenomenon Scale, the Self-Handicapping Scale, and the Mental Health Inventory reveal a significant positive correlation and prediction between the Imposter Phenomenon and self-handicapping and a positive relationship between the Imposter phenomenon and psychological distress. These findings contribute to a deeper understanding of how the Imposter Phenomenon influences self-handicapping behaviours in young adults, shedding light on the psychological distress associated with these experiences. The study underscores the need for targeted interventions to address imposter feelings and their potential consequences on mental well-being in this vulnerable population, ultimately aiming to foster a healthier and more resilient generation. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Creator
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Pooja.Y B.; Sonali M.; Swati P.
Source
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Human Arenas
Publisher
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Springer Science and Business Media B.V.
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s42087-024-00440-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-024-00440-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202727547&doi=10.1007%2Fs42087-024-00440-3&partnerID=40&md5=4d6b6e31c5d8151335c951122c575184" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202727547&doi=10.1007%2fs42087-024-00440-3&partnerID=40&md5=4d6b6e31c5d8151335c951122c575184</a>
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ISSN: 25225804
Format
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Online
Language
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English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pooja.Y B., Department of Psychology, Christ University, Delhi, Delhi, India; Sonali M., Department of Psychology, Christ University, Delhi, Delhi, India; Swati P., Department of Psychology, Christ University, Delhi, Delhi, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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An Intelligent Model forPost Covid Hearing Loss
Subject
The topic of the resource
covid-19; mathematical model; ordinary differential equations; stability; Sudden sensorineural hearing loss (SSHL)
Description
An account of the resource
Several viral infections tend to cause Sudden Sensorineural Hearing Loss (SSNHL) in humans. Covid-19 being a viral disease could also cause hearing deficiencies in people as a side effect. There have been pieces of evidence from various case studies wherein covid infected patients have reported to be suffering from sudden sensorineural hearing loss. The main objective of this study is to inspect the phenomenon and treatment of SSNHL in post-COVID-19 patients. This study proposes a mathematical model of hearing loss as a consequence of covid-19 infection using ordinary differential equations. The solutions obtained for the model are established to be non-negative and bounded. The disease-free equilibrium, endemic equilibrium and basic reproductive number have been obtained for the model which helps analyse the models trend through stability analysis. Moreover, numerical simulations have been performedfor validating the obtained theoretical results. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Creator
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Poonia R.C.; Aarthi S.; Samanta D.
Source
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Lecture Notes in Networks and Systems, Vol-1046 LNNS, pp. 39-46.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-64813-7_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-64813-7_5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200691556&doi=10.1007%2F978-3-031-64813-7_5&partnerID=40&md5=59952371375d5ae850f4206198d533f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200691556&doi=10.1007%2f978-3-031-64813-7_5&partnerID=40&md5=59952371375d5ae850f4206198d533f2</a>
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ISSN: 23673370; ISBN: 978-303164812-0
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Online
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English
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Conference paper
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Poonia R.C., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Aarthi S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Samanta D., Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global Campus, Prishtina, Kosovo, 10000
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Book
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Faculty Publications- Book
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Cyber-Physical Systems: AI and COVID-19
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Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. 2022 Elsevier Inc. All rights reserved.
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Poonia R.C.; Agarwal B.; Kumar S.; Khan M.S.; Marques G.; Nayak J.
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Cyber-Physical Systems: AI and COVID-19, pp. 1-260.
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Elsevier
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2022-01-01
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<a href="https://doi.org/10.1016/C2020-0-02352-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/C2020-0-02352-2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137930417&doi=10.1016%2FC2020-0-02352-2&partnerID=40&md5=e60f569d5115e1a9fc3540f87b67a618" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137930417&doi=10.1016%2fC2020-0-02352-2&partnerID=40&md5=e60f569d5115e1a9fc3540f87b67a618</a>
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ISBN: 978-012824557-6; 978-032385357-6
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Online
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English
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Book
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Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Agarwal B., Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT Kota), Kota, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Khan M.S., Network Science and Analysis Lab (NSAL), Department of Computing, East Tennessee State University, Johnson City, TN, United States; Marques G., Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, Oliveira do Hospital, Portugal; Nayak J., Aditya Institute of Technology and Management, Autonomous Institution), K Kotturu, Tekkali, India
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Articles
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Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
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Disease diagnosis; Explainable AI; Smart healthcare; Transfer learning; Vision transformer
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Smart healthcare has advanced the medical industry with the integration of data-driven approaches. Artificial intelligence and machine learning provided remarkable progress, but there is a lack of transparency and interpretability in such applications. To overcome such limitations, explainable AI (EXAI) provided a promising result. This paper applied the EXAI for disease diagnosis in the advancement of smart healthcare. The paper combined the approach of transfer learning, vision transformer, and explainable AI and designed an ensemble approach for prediction of disease and its severity. The result is evaluated on a dataset of Alzheimer's disease. The result analysis compared the performance of transfer learning models with the ensemble model of transfer learning and vision transformer. For training, InceptionV3, VGG19, Resnet50, and Densenet121 transfer learning models were selected for ensembling with vision transformer. The result compares the performance of two models: a transfer learning (TL) model and an ensemble transfer learning (Ensemble TL) model combined with vision transformer (ViT) on ADNI dataset. For the TL model, the accuracy is 58 %, precision is 52 %, recall is 42 %, and the F1-score is 44 %. Whereas, the Ensemble TL model with ViT shows significantly improved performance i.e., 96 % of accuracy, 94 % of precision, 90 % of recall and 92 % of F1-score on ADNI dataset. This shows the efficacy of the ensemble model over transfer learning models. 2024
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Poonia R.C.; Al-Alshaikh H.A.
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Computers in Biology and Medicine, Vol-179
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Elsevier Ltd
Date
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2024-01-01
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<a href="https://doi.org/10.1016/j.compbiomed.2024.108874" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compbiomed.2024.108874</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198332504&doi=10.1016%2Fj.compbiomed.2024.108874&partnerID=40&md5=0a3b47831442b56320d50d33e8e202c1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198332504&doi=10.1016%2fj.compbiomed.2024.108874&partnerID=40&md5=0a3b47831442b56320d50d33e8e202c1</a>
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ISSN: 104825; PubMed ID: 39013343; CODEN: CBMDA
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Online
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English
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Article
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Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, 201003, India; Al-Alshaikh H.A., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia
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Articles
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Design of decision support system to identify crop water need
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BlaneyCriddle Method; Crop water Need; DHT11; HC-05; IoT
Description
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Crop Water Need (ET crop) is referred to as the amount of water needed by a crop to grow. ET crop has high significance to identify the adequate amount of irrigation need. In this paper, a decision support system is proposed to identify Crop Water Need. The proposed decision support system is implemented through sensors and android based smartphone. Internet of Things (IoT) based temperature sensor (DHT11) is used to acquire the real time environmental factors that affect the ET crop. The sensor will communicate with android based smartphone application using Bluetooth Technology (BT-HC05). This proposed system has been compared with available evapotranspiration and existing manual method of evapotranspiration and it was found that proposed system is more correlated than existing manual method of evapotranspiration. The correlation coefficient obtained between proposed system and available evapotranspiration is 0.9783. The proposed decision support system is beneficial for farmers, agriculture researchers and professionals. 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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Poonia R.C.; Bhatnagar V.
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Journal of Ambient Intelligence and Humanized Computing, Vol-14, No. 5, pp. 5171-5178.
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Springer Science and Business Media Deutschland GmbH
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2023-01-01
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<a href="https://doi.org/10.1007/s12652-021-03291-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12652-021-03291-w</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125753786&doi=10.1007%2Fs12652-021-03291-w&partnerID=40&md5=27bd81d3410e497c9d8cdf247a3e9049" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125753786&doi=10.1007%2fs12652-021-03291-w&partnerID=40&md5=27bd81d3410e497c9d8cdf247a3e9049</a>
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ISSN: 18685137
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Online
Language
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English
Type
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Article
Coverage
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Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Bhatnagar V., Department of Computer Applications, Manipal University Jaipur, Rajasthan, Jaipur, India
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Title
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Editorials
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Guest Editors
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[No abstract available]
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Poonia R.C.; Chatterjee K.; Raja L.; Babu M.A.; Dass P.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-25, No. 7, pp. ii-.
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Taylor and Francis Ltd.
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2022-01-01
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<a href="https://doi.org/10.1080/09720529.2022.2156438" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2022.2156438</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143518315&doi=10.1080%2F09720529.2022.2156438&partnerID=40&md5=1d2869ea52c8dc791f3d187ecdbd2ec0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143518315&doi=10.1080%2f09720529.2022.2156438&partnerID=40&md5=1d2869ea52c8dc791f3d187ecdbd2ec0</a>
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All Open Access; Bronze Open Access
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ISSN: 9720529
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Online
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English
Type
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Editorial
Coverage
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Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Chatterjee K., Department of Biostatistics and Data Science, Augusta University, GA, United States; Raja L., Department of Computer Applications, School of Basic Sciences, Manipal University Jaipur, Rajasthan, India; Babu M.A., Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh; Dass P., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, New Delhi, India
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Title
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Editorials
Editorial
Faculty Publications- Editorial
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Title
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Guest Editors
Description
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[No abstract available]
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Poonia R.C.; Dass P.; Kumar S.; Singh V.; Agarwal P.
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Journal of Interdisciplinary Mathematics, Vol-24, No. 2, pp. ii-.
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Taru Publications
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2021-01-01
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<a href="https://doi.org/10.1080/09720502.2021.1904585" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2021.1904585</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103049524&doi=10.1080%2F09720502.2021.1904585&partnerID=40&md5=2b2e88c3a6d04c35fd925722d212f151" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103049524&doi=10.1080%2f09720502.2021.1904585&partnerID=40&md5=2b2e88c3a6d04c35fd925722d212f151</a>
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All Open Access; Bronze Open Access
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ISSN: 9720502
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Online
Language
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English
Type
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Editorial
Coverage
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Poonia R.C., Department of ICT and Natural Sciences, Postdoctoral Researcher, Cyber-Physical Systems Laboratory, Faculty of Information Technology and Electrical Engineering, NTNU - Norwegian University of Science and Technology, esund, Norway; Dass P., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, Paschim Vihar, New Delhi, India; Kumar S., Department of Computer Science Engineering, CHRIST (Deemed to be University), Bengaluru, 560074, Karnataka, India; Singh V., Department of Computer Science Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India; Agarwal P., Department of Computer Science and Engineering, Amity University Rajasthan, Jaipur, Rajasthan, India
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Editorials
Editorial
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Title
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Guest Editors
Description
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[No abstract available]
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Poonia R.C.; Dass P.; Kumar S.; Singh V.; Agarwal P.
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Journal of Interdisciplinary Mathematics, Vol-24, No. 1, pp. ii-.
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Taru Publications
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2021-01-01
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<a href="https://doi.org/10.1080/09720502.2021.1902050" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2021.1902050</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102435885&doi=10.1080%2F09720502.2021.1902050&partnerID=40&md5=2717dd10a4f4a5ae45c53d18f90e8d47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102435885&doi=10.1080%2f09720502.2021.1902050&partnerID=40&md5=2717dd10a4f4a5ae45c53d18f90e8d47</a>
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All Open Access; Bronze Open Access
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ISSN: 9720502
Format
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Online
Language
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English
Type
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Editorial
Coverage
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Poonia R.C., Department of ICT and Natural Sciences, Postdoctoral Researcher, Cyber-Physical Systems Laboratory, Faculty of Information Technology and Electrical Engineering, NTNU - Norwegian University of Science and Technology, esund, Norway; Dass P., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, Paschim Vihar, New Delhi, India; Kumar S., Computer Science and Engineering, Department of ICT Natural Sciences, Faculty of Information Technology Electrical Engineering, School of Engineering Technology, Kengeri Campus, CHRIST University (Deemed to be University), Bengaluru, Karnataka, India; Singh V., Department of Computer Science Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India; Agarwal P., Department of Computer Science and Engineering, Amity University Rajasthan, Jaipur, Rajasthan, India
-
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Editorials
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Title
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FOREWORD
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[No abstract available]
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Poonia R.C.; Dass P.; Upreti K.; Singh V.; Ghosh S.; Parashar J.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 4, pp. iii-iv.
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Taru Publications
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2024-01-01
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<a href="https://doi.org/10.47974/JDMSC-27-4-Foreword" target="_blank" rel="noreferrer noopener">https://doi.org/10.47974/JDMSC-27-4-Foreword</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197784254&doi=10.47974%2FJDMSC-27-4-Foreword&partnerID=40&md5=346ff867525504b96a46160ff8e76624" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197784254&doi=10.47974%2fJDMSC-27-4-Foreword&partnerID=40&md5=346ff867525504b96a46160ff8e76624</a>
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ISSN: 9720529
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Online
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English
Type
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Editorial
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Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Dass P., Department of Computer Science, Shyam Lal College, University of Delhi, Shahdara, Delhi, 110032, India; Upreti K., Department of Computer Science, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Singh V., Department of ICT and Natural Sciences, Norwegian University of Science and Technology, esund, Norway; Ghosh S., Department of Information Technology, Maharaja Agrasen Institute of Technology, Rohini, Delhi, 110086, India; Parashar J., Department of Computer Science, Dr. Akhilesh Das Gupta Institute of Technology & Management, Shahdara, New Delhi, 110053, India
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Articles
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Faculty Publications -Articles
Dublin Core
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Title
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Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease
Subject
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Image matching; Machine learning algorithms; Medical information systems; Morphological operations; Usability score artificial intelligence
Description
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Kidney disease is a major public health concern that has only recently emerged. Toxins are removed from the body by the kidneys through urine. In the early stages of the condition, the patient has no problems, but recovery is difficult in the later stages. Doctors must be able to recognize this condition early in order to save the lives of their patients. To detect this illness early on, researchers have used a variety of methods. Prediction analysis based on machine learning has been shown to be more accurate than other methodologies. This research can help us to better understand global disparities in kidney disease, as well as what we can do to address them and coordinate our efforts to achieve global kidney health equity. This study provides an excellent feature-based prediction model for detecting kidney disease. Various machine learning algorithms, including k-nearest neighbors algorithm (KNN), artificial neural networks (ANN), support vector machines (SVM), naive bayes (NB), and others, as well as Re-cursive Feature Elimination (RFE) and Chi-Square test feature-selection techniques, were used to build and analyze various prediction models on a publicly available dataset of healthy and kidney disease patients. The studies found that a logistic regression-based prediction model with optimal features chosen using the Chi-Square technique had the highest accuracy of 98.75 percent. White Blood Cell Count (Wbcc), Blood Glucose Random (bgr), Blood Urea (Bu), Serum Creatinine (Sc), Packed Cell Volume (Pcv), Albumin (Al), Hemoglobin (Hemo), Age, Sugar (Su), Hypertension (Htn), Diabetes Mellitus (Dm), and Blood Pressure (Bp) are examples of these traits. 2022 by the authors.
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Poonia R.C.; Gupta M.K.; Abunadi I.; Albraikan A.A.; Al-Wesabi F.N.; Hamza M.A.; Tulasi B.
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Healthcare (Switzerland), Vol-10, No. 2
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MDPI
Date
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2022-01-01
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<a href="https://doi.org/10.3390/healthcare10020371" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/healthcare10020371</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124839261&doi=10.3390%2Fhealthcare10020371&partnerID=40&md5=7242247a437df9d2afa15da9b6822218" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124839261&doi=10.3390%2fhealthcare10020371&partnerID=40&md5=7242247a437df9d2afa15da9b6822218</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 22279032
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Gupta M.K., Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, 302017, India; Abunadi I., Department of Information Systems, Prince Sultan University, P.O. Box No. 66833 Rafha Street, Riyadh, 11586, Saudi Arabia; Albraikan A.A., Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; Al-Wesabi F.N., Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, 61421, Saudi Arabia; Hamza M.A., Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, 16273, Saudi Arabia; Tulasi B., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Editorials
Editorial
Faculty Publications- Editorial
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Guest Editors
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Poonia R.C.; Kureethara J.V.; Chatterjee K.; Singh V.; Raja L.; Babu M.A.
Source
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Journal of Interdisciplinary Mathematics, Vol-25, No. 7, pp. ii-.
Publisher
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Taru Publications
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.1080/09720502.2022.2156736" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2022.2156736</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146747505&doi=10.1080%2F09720502.2022.2156736&partnerID=40&md5=705b3918acf339f49d356632687d0f47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146747505&doi=10.1080%2f09720502.2022.2156736&partnerID=40&md5=705b3918acf339f49d356632687d0f47</a>
Rights
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All Open Access; Bronze Open Access
Relation
A related resource
ISSN: 9720502
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Editorial
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kureethara J.V., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Chatterjee K., Department of Biostatistics and Data Science, Augusta University, GA, United States; Singh V., Cyber-Physical Systems Laboratory, Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Aalesund, Norway; Raja L., Department of Computer Applications, School of Basic Sciences, Manipal University Jaipur, Rajasthan, India; Babu M.A., Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Editorials
Editorial
Faculty Publications- Editorial
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Guest Editors
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Poonia R.C.; Kureethara J.V.; Tulasi B.; Singh D.; Dass P.; Khan M.S.
Source
A related resource from which the described resource is derived
Journal of Interdisciplinary Mathematics, Vol-25, No. 3, pp. ii-.
Publisher
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Taru Publications
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
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<a href="https://doi.org/10.1080/09720502.2022.2069122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720502.2022.2069122</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128712397&doi=10.1080%2F09720502.2022.2069122&partnerID=40&md5=6fe77b68d11337844ab244a91cdb3024" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128712397&doi=10.1080%2f09720502.2022.2069122&partnerID=40&md5=6fe77b68d11337844ab244a91cdb3024</a>
Rights
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All Open Access; Bronze Open Access
Relation
A related resource
ISSN: 9720502
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Editorial
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kureethara J.V., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Tulasi B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Singh D., Faculty of Computing and Informatics, Namibia University of Science and Technology, Windhoek, Namibia; Dass P., Bharati Vidyapeeths College of Engineering, New Delhi, India; Khan M.S., Director of Network Science and Analysis Lab (NSAL), Department of Computing, East Tennessee State University, Johnson City, 37614-1266, TN, United States
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Editorials
Editorial
Faculty Publications- Editorial
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Guest Editors
Description
An account of the resource
[No abstract available]
Creator
An entity primarily responsible for making the resource
Poonia R.C.; Paulose J.; Dass P.; Singh V.; Saudagar A.K.J.; Div I.M.J.
Source
A related resource from which the described resource is derived
Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. ii-.
Publisher
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Taylor and Francis Ltd.
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1080/09720529.2021.2022459" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2021.2022459</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121861716&doi=10.1080%2F09720529.2021.2022459&partnerID=40&md5=9e1739e4a2c566bdc9e120324e231a5d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121861716&doi=10.1080%2f09720529.2021.2022459&partnerID=40&md5=9e1739e4a2c566bdc9e120324e231a5d</a>
Rights
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Restricted Access
Relation
A related resource
ISSN: 9720529
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Editorial
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Paulose J., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Dass P., Department of Computer Science and Engineering, Bharati Vidyapeeths College of Engineering, New Delhi, India; Singh V., Department of Computer Science and Engineering, Manipal University Jaipur, India; Saudagar A.K.J., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; Div I.M.J., Data Science Research Group, Economy School, Universidad Nacional de La Pampa, Coronel Gil 353La Pampa, Primer Piso - Santa Rosa, CP 6300, Argentina
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Design and Implementation of Machine Learning-Based Hybrid Model for Face Recognition System
Subject
The topic of the resource
ERR; Face recognition; FAR; FRR; Machine learning; TSR
Description
An account of the resource
Face recognition technologies must be able to recognize users faces in a chaotic environment. Facial detection is a different issue from facial recognition in that it requires reporting the position and size of every face in an image, whereas facial recognition does not allow for this. Due to their general similarity in look, the photographs of the same face have several alterations, which makes it a challenging challenge to solve. Face recognition is an extremely challenging process to do in an uncontrolled environment because the lighting, perspective, and quality of the image to be identified all have a significant impact on the process's output. The paper proposed a hybrid model for the face recognition using machine learning. Their performance is calculated on the basis of value derived for the FAR, FRR, TSR, ERR. At the same time their performance is compared with some existing machine learning model. It was found that the proposed hybrid model achieved the accuracy of almost 98%. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Poonia R.C.; Samanta D.; Prabu P.
Source
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Smart Innovation, Systems and Technologies, Vol-324, pp. 59-68.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-19-7447-2_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-7447-2_6</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150963276&doi=10.1007%2F978-981-19-7447-2_6&partnerID=40&md5=51dcc6b499798433397f4c2038b614f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150963276&doi=10.1007%2f978-981-19-7447-2_6&partnerID=40&md5=51dcc6b499798433397f4c2038b614f7</a>
Rights
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Restricted Access
Relation
A related resource
ISSN: 21903018; ISBN: 978-981197446-5
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Poonia R.C., CHRIST (Deemed to be University), Bangalore, India; Samanta D., RIT Kosovo (A.U.K), Rochester Institute of TechnologyRIT Global, Dr. Shpetim Rrobaj, Germia Campus, Prishtina, 10000; Prabu P., CHRIST (Deemed to be University), Bangalore, India