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Akademický článek

Automatic Detection and Categorization of Skin Lesions for Early Diagnosis of Skin Cancer Using YOLO-v3 - DCNN Architecture

Autor: S. Oswalt Manoj, K. Rama Abirami, Akila Victor, Monika Arya

Publikováno v: Image Analysis and Stereology, Vol 42, Iss 2, Pp 101-117 (2023)

Malignant melanoma is a type of benign skin cancer that is the most lethal due to its rapid development and affects a large number of people worldwide. Also, it is one of the deadliest diseases in the world. Moreover, existing research has stated tha

Externí odkaz: https://doaj.org/article/0a0551f114d14a18a459b591345a38f0

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Akademický článek

A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes

Autor: Monika Arya, Hanumat Sastry G, Anand Motwani, Sunil Kumar, Atef Zaguia

Publikováno v: Frontiers in Public Health, Vol 9 (2022)

Diabetes has been recognized as a global medical problem for more than half a century. Patients with diabetes can benefit from the Internet of Things (IoT) devices such as continuous glucose monitoring (CGM), intelligent pens, and similar devices. Sm

Externí odkaz: https://doaj.org/article/d2e3cfdb655a4af98abd3933942c4b4f

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Tuberculosis Sanatorium of 21st Century Exploring the Admission Pattern and Duration of Stay at TB Sanatorium Bhowali, Uttarakhand, India: A Retrospective Study

Autor: Aninda Debnath, Ankit Chandra, Mohd. Maroof, Sadhana Awasthi, Monika Arya

Publikováno v: SAARC Journal of Tuberculosis, Lung Diseases and HIV/AIDS. 20:1-7

Introduction: With time there have been major changes in the management of TB. No longer TB sanatoriums are preferred. However, in this 21st century, few sanatoriums do exist but are no longer in their original forms, to explore the admission pattern

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76f138adf69201d999ac1cd2c2d823de
https://doi.org/10.3126/saarctb.v20i1.52659

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Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments

Autor: Monika Arya, Hanumat Sastry, Bhupesh Kumar Dewangan, Mohammad Khalid Imam Rahmani, Surbhi Bhatia, Abdul Wahab Muzaffar, Mariyam Aysha Bivi

Publikováno v: Electronics
Volume 12
Issue 4
Pages: 894

Vehicular networks improve quality of life, security, and safety, making them crucial to smart city development. With the rapid advancement of intelligent vehicles, the confidentiality and security concerns surrounding vehicular ad hoc networks (VANE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3d5d8d165535d8148449ec7bf21837b

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Hybrid Nature-Inspired Based Oversampling and Feature Selection Approach for Imbalance Data Streams Classification

Autor: Monika Arya, Bhupesh Kumar Dewangan, Monika Verma, M. Rohini, Anand Motwani, Sumit Kumar Sar

Publikováno v: 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d6f384f475ad29422e46d0c69b914e6
https://doi.org/10.1109/otcon56053.2023.10113972

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Effective LSTM Neural Network with Adam Optimizer for Improving Frost Prediction in Agriculture Data Stream

Autor: Monika Arya, G. Hanumat Sastry

Publikováno v: Modelling and Development of Intelligent Systems ISBN: 9783031270338

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21a1d425300f6094df5987a1c416d692
https://doi.org/10.1007/978-3-031-27034-5_1

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DEAL – ‘Deep Ensemble ALgorithm’ Framework for Credit Card Fraud Detection in Real-Time Data Stream with Google TensorFlow

Autor: Monika Arya, Hanumat Sastry G

Publikováno v: Smart Science. 8:71-83

The state-of-the-art Credit Card Fraud Detection (CCFD) systems utilize supervised rule-based schemes to identify fraudulent behaviors in static data. Designing an efficient framework for CCFD is p...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0c5f69a4b887146db7dee64bf0edcec
https://doi.org/10.1080/23080477.2020.1783491

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A Novel Deep Ensemble Learning Framework for Classifying Imbalanced Data Stream

Autor: Monika Arya, G. Hanumat Sastry

Publikováno v: IOT with Smart Systems ISBN: 9789811639449

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4d1cf114a63741790c392aa161064b0
https://doi.org/10.1007/978-981-16-3945-6_60

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Improving the Efficiency of Ensemble Classifier Adaptive Random Forest with Meta Level Learning for Real-Time Data Streams

Autor: Chaitali Choudhary, Monika Arya

Publikováno v: Intelligent Computing and Communication ISBN: 9789811510830

New challenges have emerged in data mining as the traditional techniques have floundered with real-time data streams. The traditional technique needs refurbishing so as to acclimatize with concept drifting data streams. Thus dealing with the concept

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22b4a6f7705033d0dee391ffa587c58e
https://doi.org/10.1007/978-981-15-1084-7_2

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