Manjari Gupta
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View article: A Comparative Performance Analysis of Activation Functions for Cardiovascular Disease Detection Using ECG Images
A Comparative Performance Analysis of Activation Functions for Cardiovascular Disease Detection Using ECG Images Open
In recent years, artificial intelligence (AI) has become an automated tool for detecting cardiovascular diseases using ECG images. Activation functions are the core of neural network models, ranging from shallow to deep convolutional neura…
View article: Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis
Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis Open
Prostate cancer (PCa) diagnosis remains challenging due to overlapping clinical features with benign prostatic hyperplasia (BPH) and limitations of existing diagnostic tools like PSA tests, which yield high false-positive rates. This study…
View article: Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning
Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning Open
Diagnosing schizophrenia using Electroencephalograph (EEG) signals is a challenging task due to the subtle and overlapping differences between patients and healthy individuals. To overcome this difficulty, deep learning has shown strong po…
View article: A study for method-level code smells detection using machine learning algorithms
A study for method-level code smells detection using machine learning algorithms Open
Motivation: Code smells reflect poor design decisions that degrade software quality and maintainability. Although several machine learning algorithms have been proposed to detect code smells, the impact of feature selection and cross-valid…
View article: Machine Learning Models for Software Defect Detection: A Strategic Management Approach
Machine Learning Models for Software Defect Detection: A Strategic Management Approach Open
Businesses are at serious risk from software flaws, which can affect consumer trust, security, and operational effectiveness. Proactive quality assurance is made possible by machine learning's (ML) creative approaches to software defect de…
View article: A Novel 4-C Model For Multilabel Classification Of Software Defects
A Novel 4-C Model For Multilabel Classification Of Software Defects Open
View article: Analysis of qRT-PCR Data to Identify the Most Stable Reference Gene Using gQuant
Analysis of qRT-PCR Data to Identify the Most Stable Reference Gene Using gQuant Open
The accurate quantification of nucleic acid-based biomarkers, including long non-coding RNAs (lncRNAs), messenger RNAs (mRNAs), and microRNAs (miRNAs), is essential for disease diagnostics and risk assessment across the biological spectrum…
View article: Statistical Analysis for Software Fault Prediction Using the Bayesian Approaches
Statistical Analysis for Software Fault Prediction Using the Bayesian Approaches Open
View article: Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification Open
Cardiovascular disease refers to any critical condition that impacts the heart. Because heart diseases can be life-threatening. Researchers are focusing on designing smart systems to accurately diagnose them based on electronic health data…
View article: miRNA Biomarkers in Prostate Cancer: Leveraging Machine Learning for Improved Diagnostic Accuracy
miRNA Biomarkers in Prostate Cancer: Leveraging Machine Learning for Improved Diagnostic Accuracy Open
Prostate cancer (PCa) diagnosis often relies on prostate-specific antigen (PSA) testing, but its high false-positive rates often lead to unnecessary biopsies. MicroRNAs (miRNAs) have emerged as promising non-invasive biomarkers for cancer …
View article: Ensemble methods with feature selection and data balancing for improved code smells classification performance
Ensemble methods with feature selection and data balancing for improved code smells classification performance Open
View article: Development of a robust and generalizable algorithm "gQuant" for accurate normalizer gene selection in qRT-PCR analysis
Development of a robust and generalizable algorithm "gQuant" for accurate normalizer gene selection in qRT-PCR analysis Open
View article: THE ROLE OF BORDERLINE PERSONALITY DISORDER IN THE SEVERITY OF SUBSTANCE USE DISORDER: A STUDY IN DEHRADUN
THE ROLE OF BORDERLINE PERSONALITY DISORDER IN THE SEVERITY OF SUBSTANCE USE DISORDER: A STUDY IN DEHRADUN Open
Borderline Personality Disorder (BPD) is a severe mental health condition characterized by emotional dysregulation, impulsivity, and unstable interpersonal relationships. Individuals with BPD are at a significantly higher risk of developin…
View article: Machine Learning-Based Methods for Code Smell Detection: A Survey
Machine Learning-Based Methods for Code Smell Detection: A Survey Open
Code smells are early warning signs of potential issues in software quality. Various techniques are used in code smell detection, including the Bayesian approach, rule-based automatic antipattern detection, antipattern identification utili…
View article: STAR-3D: A Holistic Approach for Human Activity Recognition in the Classroom Environment
STAR-3D: A Holistic Approach for Human Activity Recognition in the Classroom Environment Open
The video camera is essential for reliable activity monitoring, and a robust analysis helps in efficient interpretation. The systematic assessment of classroom activity through videos can help understand engagement levels from the perspect…
View article: gQuant: A Robust and Generalizable Algorithm for Identifying Normalizer Genes in qRT-PCR Data: A Case Study on Urinary Exosomal miRNAs
gQuant: A Robust and Generalizable Algorithm for Identifying Normalizer Genes in qRT-PCR Data: A Case Study on Urinary Exosomal miRNAs Open
The emergent role of nucleic acid-based biomarkers, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and messenger RNAs (mRNAs), is becoming increasingly prominent in the realms of disease diagnostics and risk assessment. Quanti…
View article: A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique Open
View article: Phase diagram of disordered Bose-Hubbard model based on mean-field and percolation analysis in two dimensions and at fixed $n=1$ filling
Phase diagram of disordered Bose-Hubbard model based on mean-field and percolation analysis in two dimensions and at fixed $n=1$ filling Open
We present a phase diagram of Bose-Hubbard model with on-site chemical potential disorder at two dimensions within the scope of mean-field theory. The phase diagram in the disorder strength ($Δ$) and the on-site repulsion ($U$) for disorde…
View article: Code Smell Detection Using Ensemble Machine Learning Algorithms
Code Smell Detection Using Ensemble Machine Learning Algorithms Open
Code smells are the result of not following software engineering principles during software development, especially in the design and coding phase. It leads to low maintainability. To evaluate the quality of software and its maintainabilit…
View article: Measurement of missing video frames in NPP control room monitoring system using Kalman filter
Measurement of missing video frames in NPP control room monitoring system using Kalman filter Open
Using the Kalman filtering technique, we propose a novel method for estimating the missing video frames to monitor the activities inside the control room of a nuclear power plant (NPP). The purpose of this study is to reinforce the existin…
View article: A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets
A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets Open
Different types of research have been done on video data using Artificial Intelligence (AI) deep learning techniques. Most of them are behavior analysis, scene understanding, scene labeling, human activity recognition (HAR), object localiz…
View article: A review of missing video frame estimation techniques for their suitability analysis in NPP
A review of missing video frame estimation techniques for their suitability analysis in NPP Open
The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visuall…
View article: EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment
EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment Open
Human action recognition in videos has become a popular research area in artificial intelligence (AI) technology. In the past few years, this research has accelerated in areas such as sports, daily activities, kitchen activities, etc., due…
View article: Design Patterns Discovery in Source Code: Novel Technique Using Substring Match
Design Patterns Discovery in Source Code: Novel Technique Using Substring Match Open
The role of design pattern mining is a very significant strategy of re-engineering as with the help of detection one could easily understand complex systems. Of course, identifying a design pattern is not always a simple task. Additionally…
View article: Automatic Classification of UML Class Diagrams Using Deep Learning Technique: Convolutional Neural Network
Automatic Classification of UML Class Diagrams Using Deep Learning Technique: Convolutional Neural Network Open
Unified Modeling Language (UML) includes various types of diagrams that help to study, analyze, document, design, or develop any software efficiently. Therefore, UML diagrams are of great advantage for researchers, software developers, and…
View article: Video Processing Using Deep Learning Techniques: A Systematic Literature Review
Video Processing Using Deep Learning Techniques: A Systematic Literature Review Open
Studies show lots of advanced research on various data types such as image, speech, and text using deep learning techniques, but nowadays, research on video processing is also an emerging field of computer vision. Several surveys are prese…
View article: A Novel Approach for Code Smell Detection: An Empirical Study
A Novel Approach for Code Smell Detection: An Empirical Study Open
Code smells detection helps in improving understandability and maintainability of software while reducing the chances of system failure. In this study, six machine learning algorithms have been applied to predict code smells. For this purp…
View article: Effect of severe and non severe preeclampsia on perinatal outcome– A comparative study
Effect of severe and non severe preeclampsia on perinatal outcome– A comparative study Open
Effect of severe and non severe preeclampsia on perinatal outcome– A comparative study - IJOGR- Print ISSN No: - 2394-2746 Online ISSN No:- 2394-2754 Article DOI No:- 10.18231/j.ijogr.2020.072, Indian Journal of Obstetrics and Gynecology R…
View article: Mining Design Patterns using String Encoding Format
Mining Design Patterns using String Encoding Format Open
In object oriented software, design pattern gives the particular solution for common design problems.In software engineering it's very difficult task to find out design information due to improper documentation of software systems.It is ve…
View article: A Case Series of Fibroids with Atypical Clinical Presentation: A Diagnostic Dilemma
A Case Series of Fibroids with Atypical Clinical Presentation: A Diagnostic Dilemma Open
Fibroids are the most common tumors of the female reproductive system. It is impossible to determine their true incidence, although frequently quoted incidence of as high as 50% has been found in certain longitudinal studies. Typical leiom…