Vijendra Singh
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View article: CNN segmentation of skin melanoma in pre-processed dermoscopy images
CNN segmentation of skin melanoma in pre-processed dermoscopy images Open
Using medical data to improve diagnosis accuracy has recently become common practice in hospitals. A modern computing environment has enabled real-time diagnosis of medical data using Convolutional Neural Networks (CNNs). To extract and ev…
View article: COVID19 detection in chest x-ray using vision-transformer with different patch dimensions
COVID19 detection in chest x-ray using vision-transformer with different patch dimensions Open
Computerized disease detection systems (CDDs) have proven effective for automatic screening in recent years. Among the standard procedures in hospitals for faster and more accurate diagnosis is medical imaging-based disease screening. We a…
View article: Automatic liver-vessel examination from CT slice using Kapur’s thresholding and watershed algorithm
Automatic liver-vessel examination from CT slice using Kapur’s thresholding and watershed algorithm Open
Computerized medical image examination (CMIE) plays a significant role in modern hospitals to achieve the necessary tasks, like segmentation and classification. By segmenting an image, we can extract a particular section for examination. A…
View article: Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things Open
The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use. Therefor…
View article: Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification
Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification Open
Through social media platforms and the internet, the world is becoming more and more connected, and producing enormous amounts of data. Also, the texts are collected from social media, newspapers, user reviews of products, company press re…
View article: A Comprehensive Analysis of Machine Learning-Based Assessment and Prediction of Soil Enzyme Activity
A Comprehensive Analysis of Machine Learning-Based Assessment and Prediction of Soil Enzyme Activity Open
Different soil characteristics in different parts of India affect agriculture growth. Crop growth and crop production are significantly impacted by healthy soil. Soil enzymes mediate almost all biochemical reactions in the soil. Understand…
View article: Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing
Breast Cancer Diagnosis Based on IoT and Deep Transfer Learning Enabled by Fog Computing Open
Across all countries, both developing and developed, women face the greatest risk of breast cancer. Patients who have their breast cancer diagnosed and staged early have a better chance of receiving treatment before the disease spreads. Th…
View article: Diabetic Foot Ulcer Identification: A Review
Diabetic Foot Ulcer Identification: A Review Open
Diabetes is a chronic condition caused by an uncontrolled blood sugar levels in the human body. Its early diagnosis may prevent severe complications such as diabetic foot ulcers (DFUs). A DFU is a critical condition that can lead to the am…
View article: Multimodality Medical Image Fusion Using Clustered Dictionary Learning in Non-Subsampled Shearlet Transform
Multimodality Medical Image Fusion Using Clustered Dictionary Learning in Non-Subsampled Shearlet Transform Open
Imaging data fusion is becoming a bottleneck in clinical applications and translational research in medical imaging. This study aims to incorporate a novel multimodality medical image fusion technique into the shearlet domain. The proposed…
View article: Multi-Document News Web Page Summarization Using Content Extraction and Lexical Chain Based Key Phrase Extraction
Multi-Document News Web Page Summarization Using Content Extraction and Lexical Chain Based Key Phrase Extraction Open
In the area of text summarization, there have been significant advances recently. In the meantime, the current trend in text summarization is focused more on news summarization. Therefore, developing a synthesis approach capable of extract…
View article: Machine Translation Systems Based on Classical-Statistical-Deep-Learning Approaches
Machine Translation Systems Based on Classical-Statistical-Deep-Learning Approaches Open
Over recent years, machine translation has achieved astounding accomplishments. Machine translation has become more evident with the need to understand the information available on the internet in different languages and due to the up-scal…
View article: Text Classification using Improved IWO-HAN
Text Classification using Improved IWO-HAN Open
In this paper, a novel Improved Invasive Weed Optimization-based Hierarchical Attention Network (IIWO-HAN) is developed to achieve text classification. As for huge datasets, automatic labelling is required to get useful insights. Thus, the…
View article: Trends in Human Perceptual Modeling and Machine Intelligence
Trends in Human Perceptual Modeling and Machine Intelligence Open
Human perception considers visual input as the most important sensing modality. Humans pay the utmost attention to extracting relevant information from visual data for scene interpretation and understanding. People remember or recollect in…
View article: Look-Alike Detection using Deep Convolutional Neural Networks for Ocean Oil Spills
Look-Alike Detection using Deep Convolutional Neural Networks for Ocean Oil Spills Open
The marine and coastal ecosystems are placed in grave danger whenever there is a spill of oil. For the sake of protecting future generations, the authorities need a dependable mechanism that allows them to respond quickly and effectively t…
View article: Object Detection for Signboard using Deep Neural Network
Object Detection for Signboard using Deep Neural Network Open
The goal of this work is to help the visually impaired by making it possible for them to recognize hidden images on signs, which will hopefully lead to fewer accidents. Although traffic signs are essential for maintaining order, they can a…
View article: Forecasting Stroke Risk with Cutting-Edge CNN Predictive Models
Forecasting Stroke Risk with Cutting-Edge CNN Predictive Models Open
Brain cells are killed if there is a reduction in the amount of blood that is able to reach the brain or when there is an interruption in the blood flow to the brain.A stroke is the name given to this particular medical problem.There are a…
View article: An exposition on the prediction of load on a Smart Grid
An exposition on the prediction of load on a Smart Grid Open
Smart grids depend on AI-based load forecasting to estimate future power demand (AI). Deep learning is especially important in smart grid load forecasting with neural networks (ANN). Processing time and data are needed to count smart grid …
View article: PSO-based DV-Hop Localization for Healthcare Sensor Nodes
PSO-based DV-Hop Localization for Healthcare Sensor Nodes Open
Locating specific sensor nodes can be a difficult process in wireless sensor networks, making it one of the most difficult aspects of these networks. It is helpful in pinpointing the precise location where something took place. As a result…
View article: Back Propagation Neural Network PO-based Grid Connected Dual PV Management and Reliability Improvement
Back Propagation Neural Network PO-based Grid Connected Dual PV Management and Reliability Improvement Open
A single-phase Photovoltaic (PV) system that is based on an Maximum Power Point Tracking (MPPT) and use the perturb and observe algorithm to track the extreme power point. As a consequence of interactions between a variety of semiconductor…
View article: A Deep Neural Network for Early Detection and Prediction of Chronic Kidney Disease
A Deep Neural Network for Early Detection and Prediction of Chronic Kidney Disease Open
Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD). Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers around the world to identify CKD as a condition that leads to reduc…
View article: A Hybrid Parallel Classification Model for the Diagnosis of Chronic Kidney Disease.
A Hybrid Parallel Classification Model for the Diagnosis of Chronic Kidney Disease. Open
Chronic Kidney Disease (CKD) has become a prevalent disease nowadays, affecting people globally around the world. Accurate prediction of CKD progression over time is essential for reducing its associated mortality and morbidity rates. This…
View article: Unmanned Navigation Development Prospects Based on Structural Analysis of Automated Vessel Control System
Unmanned Navigation Development Prospects Based on Structural Analysis of Automated Vessel Control System Open
The reduction of vessel crew counts and increased automation have been observed in marine and river vessels for several decades. These processes are based, firstly, on the development of modern technology and, secondly, on the urge to redu…
View article: Smart Irrigation and Intrusions Detection in Agricultural Fields Using I.o.T.
Smart Irrigation and Intrusions Detection in Agricultural Fields Using I.o.T. Open
Agriculture plays an important role in the life span of human being not only for their survival but for the better economic growth of the country too. Precision agriculture is the new trending term in the field of technology whose main mot…