Search Results - "Jena, Lambodar"

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  1. 1

    Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment by Mishra, Sushruta, Jena, Lambodar, Tripathy, Hrudaya Kumar, Gaber, Tarek

    Published in PloS one (11-08-2022)
    “…Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This recent trend…”
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    Journal Article
  2. 2

    Optimization of Skewed Data Using Sampling-Based Preprocessing Approach by Mishra, Sushruta, Mallick, Pradeep Kumar, Jena, Lambodar, Chae, Gyoo-Soo

    Published in Frontiers in public health (16-07-2020)
    “…In the past few years, classification has undergone some major evolution. With a constant surge of the amount of data gathered from different sources,…”
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    Journal Article
  3. 3

    PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson's disease severity assessment by Mishra, Sushruta, Jena, Lambodar, Mishra, Nilamadhab, Chang, Hsien-Tsung

    Published in Heliyon (30-07-2024)
    “…This paper introduces a mobile cloud-based predictive model for assisting Parkinson's disease (PD) patients. PD, a chronic neurodegenerative disorder, impairs…”
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    Journal Article
  4. 4

    Deep Learning Techniques for Identification of Pneumonia: A CNN Approach by Das, Ruchika, Nayak, Debasish Swapnesh Kumar, Rout, Chinmayee Priyadarshini, Jena, Lambodar, Swarnkar, Tripti

    “…Pneumonia is an inflammatory lung disease that mostly affects the tiny air sacs known as alveoli in human bodies. Pneumonia may be caused by bacteria, viruses,…”
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    Conference Proceeding
  5. 5

    ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images by Das, Tejaswini, Nayak, Debasish Swapnesh Kumar, Kar, Anindita, Jena, Lambodar, Swarnkar, Tripti

    “…One in every four cancer cases in women is breast cancer, which is the most prevalent malignancy in this group globally. In 2020, breast cancer will account…”
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    Conference Proceeding
  6. 6

    Enhanced Machine Learning Algorithms for Validating the Biometrics in VANET by Chithaluru, Premkumar, Jena, Lambodar, Patra, Bichitrananda, Panda, Niranjan

    “…In this rapidly sprouting technological era, trans-portation is also becoming intelligent and driverless. Ad hoc networking plays an essential role in making…”
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    Conference Proceeding
  7. 7

    Statistical validations on energy efficient routing protocols to improve the performance of Wireless Sensor Network by Chithaluru, Premkumar, Jena, Lambodar, Singh, Debabrata, Nayak, Soumen

    “…In a Wireless Sensor Network (WSN), there is a need for research in design a well-suited routing protocol used for remote applications, and it may resolve the…”
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    Conference Proceeding
  8. 8

    A Comprehensive Voice Data Analysis for Parkinson's Disease Prediction via Machine Learning Techniques by Nayak, Gayatri, Dehury, Siddharth, Barisal, Swadhin Kumar, Mishra, Sandeep Soumya Sekhar, Dutta, Pratik, Jena, Lambodar

    “…This work aims to develop a Machine Learning-based system to classify patients with Parkinson's disease. The existing systems have limitations, including…”
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    Conference Proceeding
  9. 9

    Blockchain-based Secure EV Charging System by Mohanty, Mihir Narayan, Gupta, Sangeeta, Chithaluru, Premkumar, Jena, Lambodar, Sai, T. Shiva

    “…The demand for electronic vehicles (e-vehicle) is drastically increasing in the recent times. However, the customer details for the charging of e-vehicles…”
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    Conference Proceeding
  10. 10

    Pareto-based multi-objective optimization for classification in data mining by Kamila, Narendra Kumar, Jena, Lambodar, Bhuyan, Hemanta Kumar

    Published in Cluster computing (01-12-2016)
    “…This paper explores the possibility of classification based on Pareto multi-objective optimization. The efforts on solving optimization problems using the…”
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    Journal Article
  11. 11

    Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations by Mishra, Sushruta, Mallick, Pradeep K, Tripathy, Hrudaya K, Jena, Lambodar, Chae, Gyoo-Soo

    “…Effective candidates screening is critical for any IT firm as it impacts the future growth and productivity of that firm. Currently majority of these firms…”
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    Journal Article
  12. 12

    Work-in-Progress: Chronic Disease Risk Prediction Using Distributed Machine Learning Classifiers by Jena, Lambodar, Swain, Ramakrushna

    “…The prime use of the classification technique is to predict the target class accurately for each case in the dataset. The recent study is focused on the usage…”
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    Conference Proceeding
  13. 13

    A Model for Prediction of Human Depression Using Apriori Algorithm by Jena, Lambodar, Kamila, Narendra K.

    “…Depression a latest epidemic of modern era has always drawn the attention of researcher's to find & evaluate the level, causes & prevention. According to…”
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    Conference Proceeding