Explainable machine learning for data extraction across computational social system
HK Bhuyan, C Chakraborty - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This article addresses the explainable machine learning for data extraction on diverse
datasets. In many cases, individual or specific approaches have been developed for feature …
datasets. In many cases, individual or specific approaches have been developed for feature …
Disease analysis using machine learning approaches in healthcare system
This paper addresses disease analysis using machine learning approaches in healthcare
system. Several approaches have been used to identify various disease as their …
system. Several approaches have been used to identify various disease as their …
Analysis of subfeature for classification in data mining
HK Bhuyan, V Ravi - IEEE Transactions on Engineering …, 2021 - ieeexplore.ieee.org
Feature selection is a crucial part of data mining applications in the diversity area of data
analysis. Most of the feature selection methods issue features analysis for classification …
analysis. Most of the feature selection methods issue features analysis for classification …
Multi-objective optimization-based privacy in data mining
This paper addresses the data privacy based on interactive computation using an
optimization model in data mining. When data are computed or sharing among users in …
optimization model in data mining. When data are computed or sharing among users in …
Hematological image analysis for segmentation and characterization of erythrocytes using FC-TriSDR
P Kumar, KS Babulal - Multimedia tools and applications, 2023 - Springer
In medical science, the scrutiny of blood smears for the abnormality in erythrocyte, leads to
decisive determination of several ailments like Thalasemia, Liver disease, Sickle cell …
decisive determination of several ailments like Thalasemia, Liver disease, Sickle cell …
Development of secrete images in image transferring system
This paper addresses a model to secrete the information of one image under another
without losing quality of image. Different approaches have been utilized for image hiding as …
without losing quality of image. Different approaches have been utilized for image hiding as …
An integrated framework with deep learning for segmentation and classification of cancer disease
HK Bhuyan, V Ravi - International Journal on Artificial Intelligence …, 2023 - World Scientific
This paper addresses radiologists' specific diagnosis of cancer disease effectively using
integrated framework of deep learning model. Although several existing diagnosis systems …
integrated framework of deep learning model. Although several existing diagnosis systems …
Wide-ranging approach-based feature selection for classification
Feature selection methods have been issued in the context of data classification due to
redundant and irrelevant features. The above features slow the overall system performance …
redundant and irrelevant features. The above features slow the overall system performance …
Diagnosis system for cancer disease using a single setting approach
This paper addresses the diagnosis system of cancer disease using a single setting
framework. Most of the radiologists and image specialists are identifying the disease in …
framework. Most of the radiologists and image specialists are identifying the disease in …
Forecast of seasonal consumption behavior of consumers and privacy-preserving data mining with new S-Apriori algorithm
Nowadays, supermarkets and retail stores all use software systems with databases to store
customer transactions. Over time, the volume of data is also increasing and it contributes a …
customer transactions. Over time, the volume of data is also increasing and it contributes a …