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Article
Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset
Despite high pollution levels in Indian rivers, a comprehensive study on the water quality index (WQI) remains elusive. WQI values were computed, and their classes were determined using six water quality param...
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Article
Spatiotemporal variations, sources, pollution status and health risk assessment of dissolved trace elements in a major Arabian Sea draining river: insights from multivariate statistical and machine learning approaches
River Mahi drains through semi-arid regions (Western India) and is a major Arabian Sea draining river. As the principal surface water source, its water quality is important to the regional population. Therefor...
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Article
Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis
Purpose:In the last two decades, computer-aided detection and diagnosis (CAD) systems have been created to help radiologists discover and diagnose lesions observed on breast imaging tests. These systems can serve...
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Article
Breast lesion classification from mammograms using deep neural network and test-time augmentation
In order to effectively aid in the automatic classification of the breast cancer suspicious region, a new deep-learning (DL) model built on the transfer-learning (TL) technique is proposed in this work. Pretra...
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Article
Deep ensemble transfer learning-based framework for mammographic image classification
This research intends to provide a method for clinical decision support systems that can accurately classify benign and malignant mass from breast X-ray images. The model was initially trained and assessed usi...
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Chapter and Conference Paper
Breast Cancer Classification Using a Novel Image Processing Pipeline and a Two-Stage Deep Learning Segmentation and Classification Approach
Mammography is used as a primary method for the X-ray imaging of breast regions. These mammogram images are utilized by radiologists for localization and prognosis of the mass regions present in the breast reg...
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Chapter and Conference Paper
Patch Extraction and Classifier for Abnormality Classification in Mammography Imaging
Breast cancer is a fatal disease that affects millions of women worldwide. The number of cases of breast cancer has risen over time. Although it is difficult to prevent this disease, the survival rate can be i...
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Article
Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey
Advances in deep learning networks, especially deep convolutional neural networks (DCNNs), are causing remarkable breakthroughs in radiology and imaging sciences. These advances have influenced the development...
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Chapter and Conference Paper
Analysis of State of Health Estimation for Lithium-Ion Cell Using Unscented and Extended Kalman Filter
There is tremendous potential for the growth of electric vehicles (EVs) in near future. Hence, investigations on different aspects of propulsion system, battery management and charging infrastructure are focus...
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Chapter and Conference Paper
A Drive Through Computer-Aided Diagnosis of Breast Cancer: A Comprehensive Study of Clinical and Technical Aspects
Breast cancer is a very common and life-threatening disease in women worldwide. The number of breast cancer cases is increasing with time. Prevention of this disease is very challenging and still remains a que...
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Chapter and Conference Paper
Machine Learning Applications for Computer-Aided Medical Diagnostics
Machine learning has made potential developments in biotechnology. Years of medical training are required for correct diagnosis of diseases. Diagnostics is often a very time-consuming process, and it requires ...
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Chapter and Conference Paper
FM Broadcast Audio Signal Analysis Using Time–Frequency Distribution Function
For any product, the end customer is at highest priority with regard to available user options. Presently, commercial radio broadcast contains more number of advertisements instead of content. The paper presen...
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Chapter and Conference Paper
An Add-in Tool for BIM-Based Electrical Load Forecast for Multi-building Microgrid Design
For effective multi-building smart microgrid design and optimization, it is necessary to gather sufficient and accurate computational data that too at the early design stage of projects. The building level ele...
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Chapter
Cybersecurity for Smart Grid: Threats, Solutions and Standardization
Smart grid technology is develo** at a very rapid pace. Energy sector is going under massive transformation as a result of smart grid design and development. It is characterized by full duplex communication ...
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Chapter
EMI Concerns, Measurements and Standards for Smart Grid
An existing electrical grid is being transformed at a very rapid pace. Smart Grid comprises of heterogeneous and complex infrastructure. An integration of various communication technologies is inevitable for s...
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Article
Machine Learning Based Resource Utilization and Pre-estimation for Network on Chip (NoC) Communication
Network on chip (NoC) is the solution to solve the problem of larger system on chip and bus based communication system. NoC provides scalable, highly reliable and modular approach for on chip communication and...
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Chapter and Conference Paper
Design of a Low-Cost Potato Quality Monitoring System
The paper reports design and fabrication of a low-cost solution for monitoring food quality. Owing to its widespread popularity worldwide for regular food item, potato has been chosen as an object to be classi...
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Chapter and Conference Paper
Integration of Cognitive Radio with Heterogeneous Smart Grid Communication Architecture
The existing power grid is going through a massive transformation with an integration of electrical and communication architectures. Smart grid is a radical approach to overcome the limitations of existing ele...
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Chapter and Conference Paper
Modeling and Simulation of ECG Signal for Heartbeat Application
The heart disease is dangerous and threat to human life. Most number of heart diseases are observed in the recent years. The diseases are diagnosed and cured completely if predicted in advance. The ECG signal,...
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Chapter and Conference Paper
Development of Wireless Data Acquisition and Control System for Smart Microgrid
Smart grid is the most ingenious and experimental technology in the present era. Assimilation of information and communication technologies with electrical infrastructure is the fundamental part of smart grid ...
