Search Results - "Gyanchandani, Manasi"

Big data privacy: a technological perspective and review by Jain, Priyank, Gyanchandani, Manasi, Khare, Nilay

“…Big data is a term used for very large data sets that have more varied and complex structure. These characteristics usually correlate with additional…”
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Enhanced Secured Map Reduce layer for Big Data privacy and security by Jain, Priyank, Gyanchandani, Manasi, Khare, Nilay

“…The publication and dissemination of raw data are crucial elements in commercial, academic, and medical applications. With an increasing number of open…”
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Differential privacy: its technological prescriptive using big data by Jain, Priyank, Gyanchandani, Manasi, Khare, Nilay

“…Data is being produced in large amounts and in rapid pace which is diverse in quality, hence, the term big data used. Now, big data has started to influence…”
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An In-Depth Analysis of Robustness to Noise in Soft Margin Support Vector Machines by Kumar, Vinit, Shukla, Sanyam, Manasi Gyanchandani, Dr

“…This study investigates the resilience of the Soft Margin Support Vector Machine (SVM) in the presence of noise. Soft Margin SVMs are well-known for their…”
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Machine Learning Methods for Computer-Aided Breast Cancer Diagnosis Using Histopathology: A Narrative Review by Saxena, Shweta, Gyanchandani, Manasi

“…Histopathology is a method used for breast cancer diagnosis. Machine learning (ML) methods have achieved success for supervised learning tasks in the medical…”
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Pre‐trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology by Saxena, Shweta, Shukla, Sanyam, Gyanchandani, Manasi

“…Several researchers are trying to develop different computer‐aided diagnosis system for breast cancer employing machine learning (ML) methods. The inputs to…”
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Breast cancer histopathology image classification using kernelized weighted extreme learning machine by Saxena, Shweta, Shukla, Sanyam, Gyanchandani, Manasi

“…Histopathology is considered as the gold standard for diagnosing breast cancer. Traditional machine learning (ML) algorithm provides a promising performance…”
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Data complexity-based dynamic ensembling of SVMs in classification by B., Sowkarthika, Gyanchandani, Manasi, Wadhvani, Rajesh, Shukla, Sanyam

“…Ensemble-based techniques are deployed to yield better performance than individual classifiers. Existing ensembling approaches fail to consider data complexity…”
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Neural network based non‐invasive method to detect anemia from images of eye conjunctiva by Jain, Prakhar, Bauskar, Shubham, Gyanchandani, Manasi

“…Detection of anemia can be done by examining the hemoglobin concentration level in the blood using complete blood count, which is an invasive, time‐consuming,…”
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Data complexity measures for classification of a multi-concept dataset by B, Sowkarthika, Gyanchandani, Manasi, Wadhvani, Rajesh, Shukla, Sanyam

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A Noninvasive Computerized Technique to Detect Anemia Using Images of Eye Conjunctiva by Bauskar, Shubham, Jain, Prakhar, Gyanchandani, Manasi

“…Anemia is the blood disorder which develops in the condition of lack of healthy red blood cells or hemoglobin. According to the World Health Organization (WHO)…”
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Enhancing Endometrial Tumor Detection: Early Diagnosis with Advanced Vision Transformer Architecture by Swarnkar, Bhawna, Khare, Nilay, Gyanchandani, Manasi

“…Early detection and treatment are key to improving the prognosis of endometrial cancer. However, conventional machine learning approaches have limited capacity…”
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Transformer-Based Multivariate Time Series Forecasting by Bharti, Mukesh Kumar, Wadhvani, Rajesh, Gyanchandani, Manasi, Gupta, Muktesh

“…This study explores multivariate time series forecasting, centering on the transformer model. It examines the shortcomings of other predictive models like…”
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Survey on Classification Techniques Applied to Intrusion Detection System and its Comparative Analysis by Uikey, Ritumbhra, Gyanchandani, Manasi

“…Network security is the process of preventing and protecting against unauthorized access from the Internet. Intrusion detection is a basic part of security…”
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Early Diagnosis of Endometrial Cancer: An Ensemble-Based Deep Learning Approach by Swarnkar, Bhawna, Maheshwari, Parag, Khare, Nilay, Gyanchandani, Manasi

“…Early diagnosis and treatment are key to improving the prognosis of endometrial cancer. However, conventional machine learning approaches have limited capacity…”
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Machine Learning Classifiers based on Predicting Membrane Protein using Decision Tree and Random Forest by Deen, Anjna Jayant, Gyanchandani, Manasi

“…Bioinformatics protein data was used for drug design, finding diseases, a gene for a living organism, immune relation, etc. Analysis of protein data is hard to…”
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A Comparative Survey on Privacy Preservation and Privacy Measuring Techniques in Data Publishing by Kumar, Atul, Gyanchandani, Manasi

“…In recent years, many enterprises produce big amount of data with active/passive integration of modern data generating tools. These data consists of some…”
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Multi-Headed CNN and Vision Transformer-Based Diabetic Retinopathy Classification by Saini, Naveen Kumar, Ram, Debangana, Gyanchandani, Manasi

“…Diabetic Retinopathy (DR) is a medical condition that can occur as a complication of diabetes and is characterised by blood leakage into the retinal tissues…”
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Classification of Amyotrophic Lateral Sclerosis Patients using speech signals by Kurmi, Om Prakash, Gyanchandani, Manasi, Khare, Nilay, Pillania, Arvind

“…The neurological condition known as Amyotrophic lateral sclerosis (ALS), which progresses and is irreversible, starts with early signs including speech and…”
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A review at Machine Learning algorithms targeting big data challenges by Rathor, Abhinav, Gyanchandani, Manasi

“…Machine learning is an ideal tool for extracting the hidden patterns in the data and making efficient predictions on the same. One of the primary advantages of…”
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