Vijaypal Singh Dhaka
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View article: Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet
Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet Open
Sleep apnea, a prevalent respiratory disorder, poses significant health risks, including cardiovascular complications and behavioral issues, if left untreated. Traditional diagnostic methods like polysomnography, although effective, are of…
View article: Impact of U.S. Tariffs on International Trade: Legal Perspectives and Global Implications
Impact of U.S. Tariffs on International Trade: Legal Perspectives and Global Implications Open
With a focus on using tariffs as a strategic tool, the current administration has significantly altered US trade policy. Recent developments have raised serious concerns, particularly the imposition of new and increased tariffs on major tr…
View article: Detection of Alzheimer’s Disease progression from Structural MRIs using ConvMixer based Deep Learning Model
Detection of Alzheimer’s Disease progression from Structural MRIs using ConvMixer based Deep Learning Model Open
View article: Neural Genome Sequence Encoding for Downy Mildew Pathogen Detection: A Spatial Pyramid and Dual-Attention Approach
Neural Genome Sequence Encoding for Downy Mildew Pathogen Detection: A Spatial Pyramid and Dual-Attention Approach Open
A worldwide crop loss ranging from approximately 6 to 60% in pearl millet has been reported due to downy mildew caused by Sclerospora graminicola. This disease is transmitted through soil or seeds carrying oospores. Field screening, greenh…
View article: Time and Space Efficient Multi-Model Convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds
Time and Space Efficient Multi-Model Convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds Open
A consumption of 46.9 million tons of processed tomatoes was reported in 2022 which is merely 20% of the total consumption.An increase of 3.3% in consumption is predicted from 2024 to 2032.Tomatoes are also rich in iron, potassium, antioxi…
View article: Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model
Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model Open
The exponentially growing energy requirements and, in turn, extensive depletion of non-restorable sources of energy are a major cause of concern. Restorable energy sources such as solar cells can be used as an alternative. However, their l…
View article: Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea Open
An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of concern for the healthcare industry. Polysomnography is recommended by health experts to detect obstructive sleep apnea. The patient is pa…
View article: Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains Open
Disease severity identification using computational intelligence-based approaches is gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches are proving to be significant in the rapid and accurate diagnos…
View article: A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs
A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs Open
The high transmission rate of COVID-19 and the lack of quick, robust, and intelligent systems for its detection have become a point of concern for the public, Government, and health experts worldwide. The study of radiological images is on…
View article: Comparative performance assessment of deep learning based image steganography techniques
Comparative performance assessment of deep learning based image steganography techniques Open
Increasing data infringement while transmission and storage have become an apprehension for the data owners. Even the digital images transmitted over the network or stored at servers are prone to unauthorized access. However, several image…
View article: Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning Open
View article: Systematic Survey on Visually Meaningful Image Encryption Techniques
Systematic Survey on Visually Meaningful Image Encryption Techniques Open
Due to advancements in technology, digital images are widely used in various applications like medical field, military communication, remote sensing, etc. These images may contain sensitive and confidential information. Therefore, images a…
View article: A Review on Classifications of Tracking Systems in Augmented Reality
A Review on Classifications of Tracking Systems in Augmented Reality Open
Augmented Reality (AR) is now becoming an exceptional technology that offers a new world. Users to enable their senses to feel, listen and see the surroundings in different and better ways witness a unique experience. AR technology is used…
View article: IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet Open
Decrease in crop yield and degradation in product quality due to plant diseases such as rust and blast in pearl millet is the cause of concern for farmers and the agriculture industry. The stipulation of expert advice for disease identific…
View article: Comparative Assessment of Existing Meaningful Image Encryption Techniques
Comparative Assessment of Existing Meaningful Image Encryption Techniques Open
In recent trends, digital images are commonly used for communication, storage, medical imaging, etc. These images may contain confidential data. Image encryption and steganography are popular techniques to provide information security. In …
View article: Applying deep learning-based multi-modal for detection of coronavirus
Applying deep learning-based multi-modal for detection of coronavirus Open
View article: A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases Open
In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools, have attained an impressive outcome in this area. Applications such as identify…
View article: Efficient Predictive Modelling for Classification of Coronary Artery Diseases Using Machine Learning Approach
Efficient Predictive Modelling for Classification of Coronary Artery Diseases Using Machine Learning Approach Open
Cardiovascular is one of the most critical diseases that affect persons very abominably. Coronary artery diseases (CAD) are one of the categories of cardiovascular diseases that cause a high death rate. So it is imperative to control these…
View article: A deep learning model for mass screening of <scp>COVID</scp>‐19
A deep learning model for mass screening of <span>COVID</span>‐19 Open
The objective of this research is to develop a convolutional neural network model ‘COVID‐Screen‐Net’ for multi‐class classification of chest X‐ray images into three classes viz. COVID‐19, bacterial pneumonia, and normal. The model performs…
View article: Glaucoma Detection Using Convolutional Neural Networks
Glaucoma Detection Using Convolutional Neural Networks Open
The increase in use of ICT tools and decrease in physical activities has increased the risk of disorders such as diabetes, hypertension, myopia, hypermetropia, etc. These disorders make the person more prone to eye disease such as glaucoma…
View article: Classification of Human Bones Using Deep Convolutional Neural Network
Classification of Human Bones Using Deep Convolutional Neural Network Open
In human body, there are total 206 types of different bones. Each bone has its own importance. It is very important to correctly identify human bone and then suggest treatment. To classify the human bones, we will use Musculoskeletal Radio…
View article: Comparative Analysis of Dynamic Path Maintenance Routing Protocols for Mobile Ad-Hoc Networks
Comparative Analysis of Dynamic Path Maintenance Routing Protocols for Mobile Ad-Hoc Networks Open
Objective: The purpose of the paper is to compare the various protocols of different categories in Mobile Adhoc Networks (MANETs). Analysis: The wireless networks are promising as future technology which will be going to be the highest dem…
View article: ACO Agent Based Routing in AOMDV Environment
ACO Agent Based Routing in AOMDV Environment Open
\nMobile Ad-hoc Network (MANET) is a group of moving nodes which can communicate with each other without the help of any central stationary node. All the nodes in the MANET act as router for forwarding data packets. The nodes in the networ…
View article: Design of Web Crawler for the Client - Server Technology
Design of Web Crawler for the Client - Server Technology Open
Search engines store information locally with the purpose of deliver quick, accessible search abilities. This information is collected by Web crawler. Web crawling is necessary for the maintenance of complete and latest web document gather…
View article: A Novel Web Page Change Detection Approach using Sql Server
A Novel Web Page Change Detection Approach using Sql Server Open
The WWW is very dynamic in nature and is basically used for the exchange of information or data, the content of web page is added, changed or deleted continuously, which makes Web crawlers very challenging to keep refresh the page with the…
View article: A Review on Workload Prediction of Cloud Services
A Review on Workload Prediction of Cloud Services Open
In cloud computing scalable and IT-enabled capabilities are delivered as a service to consumers using Internet. Workload prediction for cloud services differs from one application to another. In this paper review is presented about differe…