Search Results - "Abhilash Pati"

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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

    En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis by Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad, Das, Manmath Nath, Nayak, Debasish Swapnesh Kumar, Sahoo, Ghanashyam, Kant, Shashi

    Published in IEEE access (2023)
    “…According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for ~10 million fatalities at the end of 2020. The most common types of…”
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    Journal Article
  4. 4

    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
  5. 5

    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
  6. 6

    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
  7. 7

    Fuzzy Markov model for the reliability analysis of hybrid microgrids by Kunjabihari Swain, Murthy Cherukuri, Indu Sekhar Samanta, Abhilash Pati, Jayant Giri, Jayant Giri, Amrutanshu Panigrahi, Hong Qin, Saurav Mallik

    Published in Frontiers in computer science (Lausanne) (10-06-2024)
    “…This research presents a process for analyzing a hybrid microgrid's dependability using a fuzzy Markov model. The research initiated an analysis of the various…”
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    Journal Article
  8. 8

    Weighted Bayesian Belief Network for diabetics: a predictive model by Kharya, Shweta, Soni, Sunita, Pati, Abhilash, Panigrahi, Amrutanshu, Giri, Jayant, Qin, Hong, Mallik, Saurav, Nayak, Debasish Swapnesh Kumar, Swarnkar, Tripti

    Published in Frontiers in artificial intelligence (11-04-2024)
    “…Diabetes is an enduring metabolic condition identified by heightened blood sugar levels stemming from insufficient production of insulin or ineffective…”
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    Journal Article
  9. 9

    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)
    “…Performing a coronary disease diagnosis remotely is challenging now‐a‐days. COVID‐19 is a worldwide pandemic, and methods for detecting COVID‐19 are hampered…”
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    Journal Article
  10. 10

    Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models by Sahoo, Ghanashyam, Nayak, Ajit Kumar, Tripathy, Pradyumna Kumar, Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad, Mahanty, Chandrakanta, Mallik, Saurav

    Published in Current oncology (Toronto) (24-10-2024)
    “…Relapse and metastasis occur in 30–40% of breast cancer patients, even after targeted treatments like trastuzumab for HER2-positive breast cancer. Accurate…”
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    Journal Article
  11. 11

    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
  12. 12

    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
  13. 13

    Hybrid Multiple Filter Embedded Political Optimizer for Feature Selection by Sahu, Bibhuprasad, Panigrahi, Amrutanshu, Rout, Saroja Kumar, Pati, Abhilash

    “…DNA microarray data analysis is notorious because it contains a large number of characteristics, asymmetrical class distribution, and it is restricted with…”
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    Conference Proceeding
  14. 14

    Enhanced Seizure Detection through a Robust Denoising Autoencoder with Attention Mechanism by Samanta, Indu Sekhar, Pattanaik, Swarupa, Swain, Kunjabihari, Pati, Abhilash, Panigrahi, Amrutanshu, Sahu, Bibhuprasad

    “…Abnormal brain activity is a frequent neurological disease known as epileptic seizures. The application of machine learning to automate seizure detection has…”
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    Conference Proceeding
  15. 15

    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
  16. 16

    Optimizing DFIG Wind Farms: Advanced Controls and Energy Storage Integration by Das, Sachin, Samanta, Indu Sekhar, Dash, Rudranarayan, Pati, Abhilash, Kundu, Subhasree, Panigrahi, Amrutanshu

    “…This research study introduces a new way to optimize wind farms that use Doubly Fed Induction Generators (DFIGs) by combining energy storage systems with…”
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    Conference Proceeding
  17. 17

    A Comparative Analysis of Diabetes Prediction Using Machine Learning and Deep Learning Algorithms in Healthcare by Tripathy, Nrusingha, Moharana, Bhimasen, Balabantaray, Sidhanta Kumar, Nayak, Subrat Kumar, Pati, Abhilash, Panigrahi, Amrutanshu

    “…Hyperglycemia that persists is a concern with diabetes mellitus. As a result, there may be several complications. According to current morbidity rates, 642…”
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    Conference Proceeding
  18. 18

    Empirical Study on the Dynamic Load Balancing Approach in Cloud Computing by Tripathy, Jyotsnarani, Das, Manmath Nath, Panigrahi, Amrutanshu, Pati, Abhilash, Sahoo, Ghanashyam, Dash, Manoranjan

    “…Computing in the cloud has recently emerged as an emerging front-end technology. It delivers the primary attention for many different marketplaces and…”
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    Conference Proceeding
  19. 19

    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
  20. 20

    Novel AI-based Prediction Approach for Improving Patient Treatment in Healthcare by Thatikonda, Ramya, Vaddadi, Srinivas Aditya, Dash, Bibhu, Panigrahi, Amrutanshu, Pati, Abhilash, Sahu, Bibhuprasad

    “…The healthcare industry and e-health have benefited greatly from the proliferation of automated methods available in today's technological landscape. While…”
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    Conference Proceeding