13 Result(s)
within
Chapter
Bikesh Kumar Singh
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Chapter and Conference Paper
EEG Based Classification of Learning Disability in Children Using Pretrained Network and Support Vector Machine
Learning disability (LD) is a commonly acknowledged neurological disorder that causes learners to struggle to decode, read, and write and in performing a mathematical task. If a child’s learning disabilities g...
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Chapter and Conference Paper
A Two-Level Classifier for Prediction of Healthy and Unhealthy Lung Sounds Using Machine Learning and Convolutional Neural Network
The ability to detect lung disorders with the aid of lung sound auscultation has become very common these days. The early diagnose of these diseases can cause a reduced risk to loss of life. Auscultation has a...
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Chapter and Conference Paper
Beta Artificial Bee Colony Algorithm for EMG Feature Selection
The electromyography (EMG) signals play a very important role in the muscular activity of the human body. Muscular activities can be measured and analyzed through various movements such as writing, walking, ru...
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Chapter and Conference Paper
Prediction of Hydroxyurea Effect on Sickle Cell Anemia Patients Using Machine Learning Method
The objective of this paper is to predict the effect of hydroxyurea of individuals suffering from Sickle Cell Disease (SCD) using predictive machine learning techniques. Nowadays worldwide sickle cell disease ...
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Chapter and Conference Paper
Speech Parameter and Deep Learning Based Approach for the Detection of Parkinson’s Disease
Parkinson’s disease is one of the common chronic and progressive neurodegenerative diseases across the globe. Speech parameters are the most important indicators that can be used to detect the disease at its e...
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Chapter and Conference Paper
Hiding Patient Information in Medical Images: A Robust Watermarking Algorithm for Healthcare System
Electronically transmission of the medical images is an essential prerequisite in a Healthcare system. During transmission, the medical images can be hacked and altered either partially or in totality, unless ...
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Chapter and Conference Paper
Feature Selection for Classification of Breast Cancer in Histopathology Images: A Comparative Investigation Using Wavelet-Based Color Features
Breast cancer is taken into account as one of the foremost common kinds of cancer occurring in women worldwide. This work is intended to develop an automated classification system in order to classify the brea...
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Chapter and Conference Paper
Comparative Investigation of Different Classification Techniques for Epilepsy Detection Using EEG Signals
Among the major brain abnormalities that have been identified, various remedial strategies are proposed to tackle most of such conditions. One of the serious abnormalities of the nervous system is epilepsy, wh...
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Chapter and Conference Paper
Regression-Based Approach to Analyze Tropical Cyclone Genesis
This paper attempts to explore regression approach for the prediction of tropical cyclone genesis in North Indian Ocean. The cyclonic storms from the Bay of Bengal are the usual phenomenon in east coast of Ind...
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Chapter and Conference Paper
Review of Feature Selection Algorithms for Breast Cancer Ultrasound Image
Correct classification of patterns from images is one of the challenging tasks and has become the focus of much research in areas of machine learning and computer vision in recent era. Images are described by ...
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Chapter and Conference Paper
Indexing and Retrieval of Medical Images Using CBIR Approach
Medical image indexing and storage is gaining increased importance. Indexing and retrieval of these images efficiently is becomes an essential task. Indexing of medical images using text or numbers is a cumber...
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Chapter and Conference Paper
An Overview and Comparative Study of Segmentation Techniques for Extraction of Tongue Region for Computerized Tongue Diagnosis
Extraction of Tongue Contours is an important issue in development of disease diagnostic expert system [DDES] using tongue image analysis. Tongue inspection is a commonly used practice in Traditional Chinese M...
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Chapter and Conference Paper
Performance Analysis of Mammographic Image Enhancement Techniques for Early Detection of Breast Cancer
Mammogram breast cancer images have the ability to assist physician in detection of disease caused by cells normal growth. Develo** algorithms and software to analyse these images may also assist physicians ...
