Papers by DILKESHWAR PANDEY
Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
SN Computer Science, Jan 11, 2024
Exploring Risk Factors for Cardiovascular Disease: Insights from NHANES Database Analysis
Lecture notes in networks and systems, Dec 31, 2023
Depression detection using cascaded attention based deep learning framework using speech data
Multimedia Tools and Applications, Jan 21, 2024
International Journal for Research in Applied Science and Engineering Technology, May 31, 2022
Emotional state identification based on analysis of vocalisations is a challenging subject in the... more Emotional state identification based on analysis of vocalisations is a challenging subject in the field of Human-Computer Interaction (HCI). In the research that has been done on speech emotion recognition (SER). A wide range of research approaches has been used in order to extract feelings from a variety of inputs, including a number of well-known ways to speech analysis and categorization that are already known. Recent research has suggested the use of deep learning algorithms. as potential alternatives to the approaches that are traditionally used in SER. This article offers a summary of more in-depth topics learning methodologies, as well as current research employing it, are discussed to identify the feelings conveyed by verbal expressions. The analysis will consider the feelings that were recorded in the databases that were utilised were: the contributions to both speech and emotion that were removed the restrictions that were found, as well as the discoveries that were made discovered.
AI-based Exam Proctoring System
2023 International Conference on Disruptive Technologies (ICDT)
Study and Development of Efficient Air Quality Prediction System Embedded with Machine Learning and IoT
Lecture notes in networks and systems, Sep 23, 2022
IEEE Access, 2019
The authors therefore, acknowledge with thanks DSR for technical and financial support.
Hybrid query refinement based approach for enhanced biomedical image retrieval
Multimedia Tools and Applications
Applied Sciences
With the recent expansion of social media in the form of social networks, online portals, and mic... more With the recent expansion of social media in the form of social networks, online portals, and microblogs, users have generated a vast number of opinions, reviews, ratings, and feedback. Businesses, governments, and individuals benefit greatly from this information. While this information is intended to be informative, a large portion of it necessitates the use of text mining and sentiment analysis models. It is a matter of concern that reviews on social media lack text context semantics. A model for sentiment classification for customer reviews based on manifold dimensions and manifold modeling is presented to fully exploit the sentiment data provided in reviews and handle the issue of the absence of text context semantics. This paper uses a deep learning framework to model review texts using two dimensions of language texts and ideogrammatic icons and three levels of documents, sentences, and words for a text context semantic analysis review that enhances the precision of the senti...
Cloud-based Intelligent Informative Engineering for Society 5.0
Cloud-based Intelligent Informative Engineering for Society 5.0
AIP Conference Proceedings
A review on evolution of airfoils and their characteristics in last three centuries part-2: Evolu... more A review on evolution of airfoils and their characteristics in last three centuries part-2: Evolution of airfoils and their characteristics after 1930 and NACA series with characteristics of subsonic and high subsonic airfoils
Agile approach for Software Testing process
2016 International Conference System Modeling & Advancement in Research Trends (SMART), 2016
As per the finding of Agile development, Testing is recognized not to be a separate phase, but an... more As per the finding of Agile development, Testing is recognized not to be a separate phase, but an integral part of Software Development with the Coding. “Whole-team” approach is being used by Agile team to “baking quality in” to the Software Product. Agile team containing the Testers, who lend their expertise in eliciting examples of desired behavior from customers. They collaborate with the development team that guide Coding, to turn those into executable specifications. Testing and Coding is being performed incrementally and iteratively, until it provides enough value to release to production each feature building up is made. It covers different types of testing. It quadrants provide a helpful taxonomy which help teams in identifying and planning the testing need [3,4].
Cloud-based Intelligent Informative Engineering for Society 5.0
Chapman and Hall/CRC eBooks, Feb 14, 2023
BhavnaNet: A Deep Convolutional Neural Network for Facial Emotion Recognition
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
Revue des droits de l’homme, 2020
Secure routing in wireless sensor network using ACO
Wireless Sensor Network is very commonly used now a days in varying domains. It is used in defens... more Wireless Sensor Network is very commonly used now a days in varying domains. It is used in defense, medical sciences, smart cities and many more places. In this paper, we discuss about the security improvement for the existing WSN by analyzing all the attacks prevailing and the best approach to minimize a vast range of attacks including Sybil attack, wormhole attack and many others. We incorporate the Ant Colony Optimization to gain energy optimized clustering and securing the network with various attacks done to compromise the network.
In this paper, a new algorithm which is based on the graph cut theory and local binary patterns (... more In this paper, a new algorithm which is based on the graph cut theory and local binary patterns (LBP) for content based image retrieval (CBIR) is proposed. In graph cut theory, each node is compared with the all other nodes for edge map generation. The same concept is utilized at LBP calculation which is generating nine LBP patterns from a given 3×3 pattern. Finally, nine LBP histograms are calculated which are used as a feature vector for image retrieval. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Brodatz database (DB1), and MIT VisTex database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques.
In this paper, inter space local binary pattern (ISLBP) algorithm for content based image retriev... more In this paper, inter space local binary pattern (ISLBP) algorithm for content based image retrieval (CBIR) is proposed. First the image is separated into red(R), green(G), and blue(B) color spaces, and these are used for inter space local binary patterns (ISLBP), which are evaluated by taking into consideration of local difference between the center pixel and its neighbors by changing center pixels of one color space with other color space. Local binary pattern (LBP) extracts the information based on distribution of edges in an image. Finally, inter LBP histograms are constructed between the color spaces for image retrieval. The experimentation has been carried out for proving the worth of our algorithm. It is further mentioned that the databases considered for experiment viz. Corel 1000 and MIT VisTex databases. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to LBP on RGB spaces separately.
A Review Paper on the Comparative Study of Intelligent Heart Disease Prediction System
In order to remove useful information, large amounts of medical data require intelligent equipmen... more In order to remove useful information, large amounts of medical data require intelligent equipment. Techniques have been implemented in a number of different areas, including bioinformatics, business, industry, computer vision. Many researchers have been done with the help of such techniques. There is a lack of effective analysis tools to find hidden relationships and trends in medical data from clinical records. Heart disease is considered the leading cause of death worldwide in the last 15 years. Medical data is still rich in information but knowledge is poor. Researchers have used several statistical analyses and various health care techniques or tools to improve the diagnosis accuracy in the medical healthcare service. In this paper, it was majorly discussed all the research work being carried out using the data mining techniques to enhance heart disease diagnosis and prediction including decision trees, Naive Bayes classifiers, K-nearest neighbor classification (KNN), support v...
Graph Cut Based Local Binary Patterns for Content Based Image Retrieval
In this paper, a new algorithm which is based on the graph cut theory and local binary patterns (... more In this paper, a new algorithm which is based on the graph cut theory and local binary patterns (LBP) for content based image retrieval (CBIR) is proposed. In graph cut theory, each node is compared with the all other nodes for edge map generation. The same concept is utilized at LBP calculation which is generating nine LBP patterns from a given 3—3 pattern. Finally, nine LBP histograms are calculated which are used as a feature vector for image retrieval. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Brodatz database (DB1), and MIT VisTex database (DB2). The results after being investigated shows a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques. Keywords: Feature Extraction; Local Binary Patterns; Image Retrieval
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Papers by DILKESHWAR PANDEY