Search Results - "Parhi, Manoranjan"

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  1. 1

    Performance assessment of hybrid machine learning approaches for breast cancer and recurrence prediction by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Giri, Jayant, Qin, Hong, Mallik, Saurav, Pattanayak, Sambit Ranjan, Agrawal, Umang Kumar

    Published in PloS one (01-08-2024)
    “…Breast cancer is a major health concern for women everywhere and a major killer of women. Malignant tumors may be distinguished from benign ones, allowing for…”
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    Journal Article
  2. 2

    Simulating Fog of Medical Things: Research Challenges and Opportunities by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Kumar Pattanayak, Binod, Sahu, Bibhuprasad, Kant, Shashi

    Published in IEEE access (2024)
    “…Technology has a significant impact on medical applications at the current moment. Contemporary computers are capable of processing a lot of patient medical…”
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    Journal Article
  3. 3

    Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Singh, Debabrata, Singh, Vijendra, Kadry, Seifedine, Nam, Yunyoung, Kang, Byeong-Gwon

    Published in Diagnostics (Basel) (27-06-2023)
    “…Across all countries, both developing and developed, women face the greatest risk of breast cancer. Patients who have their breast cancer diagnosed and staged…”
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    Journal Article
  4. 4

    CanDiag: Fog Empowered Transfer Deep Learning Based Approach for Cancer Diagnosis by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Sahu, Bibhuprasad, Khasim, Syed

    Published in Designs (01-04-2023)
    “…Breast cancer poses the greatest long-term health risk to women worldwide, in both industrialized and developing nations. Early detection of breast cancer…”
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    Journal Article
  5. 5

    An IoT-Fog-Cloud Integrated Framework for Real-Time Remote Cardiovascular Disease Diagnosis by Pati, Abhilash, Parhi, Manoranjan, Alnabhan, Mohammad, Pattanayak, Binod Kumar, Habboush, Ahmad Khader, Al Nawayseh, Mohammad K

    Published in Informatics (Basel) (01-02-2023)
    “…Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud…”
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    Journal Article
  6. 6

    IFCnCov: An IoT‐based smart diagnostic architecture for COVID‐19 by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar, Pati, Bibudhendu

    Published in Software, practice & experience (01-11-2023)
    “…Abstract Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is a worldwide pandemic, and methods for detecting COVID‐19 are…”
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    Journal Article
  7. 7

    A multi-agent-based framework for cloud service discovery and selection using ontology by Parhi, Manoranjan, Pattanayak, Binod Kumar, Patra, Manas Ranjan

    “…As cloud computing is getting matured day by day, there has been overwhelming interest among the users to avail a plethora of cloud services. Often, these…”
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    Journal Article
  8. 8

    IABCP: an Integrated Approach for Breast Cancer Prediction by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

    “…Breast cancer detection and prognosis may result in better medication being provided early, lowering the number of deaths caused by the illness each year and…”
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    Conference Proceeding
  9. 9

    An ensemble approach to predict acute appendicitis by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

    “…There is currently no international treaty on how to treat human appendicitis. Given the scarcity of data-driven studies on this species and the lack of clear…”
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    Conference Proceeding
  10. 10

    Unveiling Early Autism Spectrum Disorder Detection: A Comprehensive Study of Machine Learning and Deep Learning Approaches by Tarai, Trilochan, Parhi, Manoranjan, Mishra, Debahuti, Shaw, Kailash

    “…According to research by the world health organization (WHO), approximately 0.63% of children are diagnosed with autism spectrum disorder (ASD). ASD commonly…”
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    Conference Proceeding
  11. 11

    Early Stage Ovarian Cancer Prediction using Machine Learning by Nayak, Chinmayee, Tripathy, Alakananda, Parhi, Manoranjan, Barisal, Swadhin Kumar

    “…The most dangerous cancer that affects women is ovarian cancer and the early-stage diagnosis is difficult. To overcome this issue, machine learning techniques…”
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    Conference Proceeding
  12. 12

    IDMS: An Integrated Decision Making System for Heart Disease Prediction by Pati, Abhilash, Parhi, Manoranjan, Pattanayak, Binod Kumar

    “…Heart Disease, one of the deadliest human diseases worldwide, should be properly diagnosed in time and treatments should be carried out accordingly. To predict…”
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    Conference Proceeding
  13. 13

    Enhancing the Heart Diseases Prediction Based on a Novel Hybrid Model by Pati, Abhilash, Panigrahi, Amrutanshu, Parhi, Manoranjan, Panda, Niranjan, Agrawal, Umang Kumar, Pattanayak, Sambit Ranjan

    “…Predicting the first signs of heart disease is essential for timely diagnosis and treatment, as this condition is a significant cause of death globally…”
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    Conference Proceeding
  14. 14

    URBAN TRAFFIC FLOW PREDICTION USING TIMEGAN MODEL by Dutta, Pratik, Das, Anuradha, Parhi, Manoranjan, Tripathy, Alakananda, Mishra, Debahuti, Barisal, Swadhin Kumar

    “…The gap between the supply and demand for road space has been widening over the past few decades as the number of cars has increased steadily. This imbalance…”
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    Conference Proceeding
  15. 15

    Issues, Challenges and Techniques for Resource Provisioning in Computing Environment by Laha, Suprava Ranjan, Parhi, Manoranjan, Pattnaik, Saumendra, Pattanayak, Binod Kumar, Patnaik, Srikanta

    “…Cloud computing is an emerging topic in day-to-day life among users, starting from individuals at home to the organizations. It refers to many different types…”
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    Conference Proceeding
  16. 16

    Discovery of sensor web registry services for WSN with Multi-layered SOA framework by Parhi, M., Acharya, B. M., Puthal, B.

    “…Sensor Web Services has potential usage in a wide range of application domain. However due to advancement of OGC SWE standard, there are still challenges left…”
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    Conference Proceeding
  17. 17

    An efficient technique to discover sensor web registry services for WSN with QoS based Multi-layered SOA framework by Parhi, M., Acharya, B. M., Puthal, B.

    “…Recently Wireless Sensor Network Services have potential usage in a wide range of application domain. However due to the solid and mature advancement of SWE…”
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    Conference Proceeding
  18. 18

    An effective mechanism to discover sensor web registry services for wireless sensor network under x-SOA approach by Parhi, M, Acharya, B M, Puthal, B

    “…The application of WSN is emerging as a new trend in different sphere of modern society. However due to the advancement of SWE, discovering sensor web registry…”
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    Conference Proceeding