Search Results - "Saxena, Merry"

  • Showing 1 - 10 results of 10
Refine Results
  1. 1

    Comparative Survey of Machine Learning Techniques for Prediction of Parkinson's Disease by Saxena, Merry, Ahuja, Sachin

    “…Prognosis and progression of Parkinson's disease is a critical question among the clinicians since there is a disparity of parameters taken into the diagnostic…”
    Get full text
    Conference Proceeding
  2. 2

    Early Diabetes Prediction Using Supervised Machine Learning Techniques by Tripathy, Ramamani, Bordoloi, Dibyahash, Vajpayee, Amit, Saxena, Merry, Mohapatra, Srikanta Kumar, Sarangi, Pradeepta Kumar

    “…Diabetes is a constant sickness that creates when the pancreas neglects to produce sufficient chemical to manage blood glucose levels, or when the body can't…”
    Get full text
    Conference Proceeding
  3. 3

    Machine Learning Model for Heart Disease Detection: A Comparative Analysis of SVM vs KNN by Giri, Uttam Kumar, Saxena, Merry, Bordoloi, Dibyahash, Tripathy, Ramamani, Mohapatra, Srikanta Kumar, Kumar Sarangi, Pradeepta

    “…Out of many critical medical issues, heart disease is one that primarily impacts the cardiovascular system, including the heart and its associated organs…”
    Get full text
    Conference Proceeding
  4. 4

    Using Deep Learning Algorithms for Accurate Diagnosis and Outbreak Prediction of Monkeypox by Arora, Kamal, Saxena, Merry, Sahoo, Ashok Kumar, Maurya, Abhishek, Sarangi, Pradeepta Kumar, Dutta, Monica

    “…Monkeypox is a viral illness that has been known to affect the humans. It is commonly misidentified as chickenpox due to the similarity of its rashes with…”
    Get full text
    Conference Proceeding
  5. 5

    SMS Spam Detection Using Deep Learning Techniques: A Comparative Analysis of DNN Vs LSTM Vs Bi-LSTM by Gandhi, Chaitanya, Kumar Sarangi, Pradeepta, Saxena, Merry, Sahoo, Ashok Kumar

    “…SMS spam detection is crucial for ensuring text messaging systems' security and usability. Spam messages, also known as unwanted text messages, can be a…”
    Get full text
    Conference Proceeding
  6. 6

    Next Day Bitcoin Price Prediction: Performance Comparison of Various Statistical and Machine Learning Algorithms by AhmadChitkara, Lubna Noor, Sarangi, Pradeepta Kumar, Saxena, Merry, Sahoo, Ashok Kumar, Singh, Amandeep

    “…Trading in Digital currency is an opportunity for an alternate investment option and getting popularity day by day. Bitcoin is one of the most popular digital…”
    Get full text
    Conference Proceeding
  7. 7

    Gold and Silver Price Prediction using Hybrid Machine Learning Models by Goel, Sakshi, Saxena, Merry, Kumar Sarangi, Pradeepta, Rani, Lekha

    “…Gold and silver are two of the most precious metals in great demand due to their industrial, electrical, and decorative uses. They have gained high popularity…”
    Get full text
    Conference Proceeding
  8. 8

    Hog Features Based Handwritten Bengali Numerals Recognition Using SVM Classifier: A Comparison with Hopfield Implementation by Gahelot, Parul, Sarangi, Pradeepta Kumar, Saxena, Merry, Jha, Jayant, Vajpayee, Amit, Sahoo, Ashok Kumar

    “…Handwritten digit recognition (reading by computer) is a process that gives the technological capabilities to a system to recognize handwritten numerals using…”
    Get full text
    Conference Proceeding
  9. 9

    Pattern Storage & Recalling Using Hopfield Neural Network and HOG Feature Based SVM Classifier: An Experiment with Handwritten Odia Numerals by Sharma, Naman, Kalra, Karan, Sarangi, Pradeepta Kumar, Rani, Lekha, Saxena, Merry, Kumar, Santosh

    “…Handwritten Odia text identification is very useful for the society and also a challenging task as it may include a variety of writing styles, complicated…”
    Get full text
    Conference Proceeding
  10. 10

    Performance Analysis of RDBMS and Hadoop Components with Their File Formats for the Development of Recommender Systems by Gupta, Anchal, Saxena, Merry, Gill, Rupali

    “…A recommender system is a software that can suggest users through prediction based on their previous data usage in the shortest amount of time. Present…”
    Get full text
    Conference Proceeding