Dr. Neha Gupta (0000-0003-0905-5457)

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Dr. Neha Gupta has completed her PhD from Manav Rachna International University and has total of 17+ year of experience in teaching and research. She is a Life Member of ACM CSTA, Tech Republic and Professional Member of IEEE. She has authored and coauthored 34 research papers in SCI/SCOPUS/Peer Reviewed Journals (Scopus indexed) and IEEE/IET Conference proceedings in areas of Web Content Mining, Mobile Computing, and Cloud Computing. She has published books with publishers like IGI Global & Pacific Book International and has also authored book chapters with Elsevier, CRC Press and IGI global USA. Her research interests include ICT in Rural Development, Web Content Mining, Cloud Computing, Data Mining and NoSQL Databases. She is a technical programme committee (TPC) member in various conferences across globe. She is an active reviewer for International Journal of Computer and Information Technology and in various IEEE Conferences around the world.

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Manav Rachna International Institute of Research and Studies: Faridabad, Haryana, IN

2009-07-01 to present | Professor (Faculty of Computer Applications)

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Dr. Neha Gupta

https://orcid.org/0000-0003-0905-5457

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Employment (1)

Manav Rachna International Institute of Research and Studies: Faridabad, Haryana, IN

Education and qualifications (1)

Manav Rachna International University: Faridabad, Haryana, IN

Works (50 of 79)

Multidimensional and Revolutionary Relevance of AI in Agriculture

Performance analysis of the proxy-based and collusion-resistant revocable CPABE framework

Unravelling Climate Dynamics

Network intrusion detection using meta-heuristic feature selection and cost-sensitive learning

Optimising data quality of a data warehouse using data purgation process

Optimising data quality of a data warehouse using data purgation process

A two-staged NLP-based framework for assessing the sentiments on Indian supreme court judgments

Comprehensive Assessment of Reverse Social Engineering to Understand Social Engineering Attacks

Performance Evaluation of KNN &amp; Decision Tree in Prediction of Heart Disease

Network intrusion detection using meta-heuristic feature selection and cost-sensitive learning

An Adaptive Recommender System Framework for Personalized E-Learning

A Comprehensive Review of Cloud based Multi-Authority Revocable CPABE Schemes

An Empirical Study on Imbalanced Learning in Intrusion Detection Using Random Tree Classifier

CFS-MHA

Bayesian Network-Based Decision Support for Pest Management

A study of graph analytics for massive datasets

Integrating Semantic Acquaintance for Sentiment Analysis

Impact of Activation Functions of Neural Network in Mammographic Masses

Sentiment Analysis of COVID-19 Tweets

Latent Semantic Analysis based Real-world Application of Topic Modeling: A Review Study

Synergizing Smart Home with Smart Parking using IOT

Instigating Decentralized Apps with Smart Contracts

A systematic review of techniques, tools and applications of machine learning

Analysis of COVID-19 Data Using Machine Learning Techniques

Epidemic Analysis of COVID-19 Using Machine Learning Techniques

Impact of Deep Learning on Semantic Sentiment Analysis

Imputation of Missing Values using Improved K-Means Clustering Algorithm to Attain Data Quality

Introduction to hardware accelerator systems for artificial intelligence and machine learning

Optimizing Greedy Algorithm to Balance the Server Load in Cloud Simulated Environment

Systematic review of virtual reality its challenges

Understanding and Implementing Machine Learning Models with Dummy Variables with Low Variance

Online Education in the Time of COVID-19 Crisis

Polynomial Based Linear Regression Model to Predict COVID-19 Cases

An Analytical View of Revocable Attribute Based Encryption Schemes

Enhancing Data Quality at ETL Stage of Data Warehousing

A Deep Dive Into Security and Privacy Issues of Blockchain Technologies

Application and techniques of opinion mining

Enhancing Graphic Performance Curve using Ray Tracing

Failure Node Reduction Algorithm to Enhance Fault Tolerance Capability of Cloud Nodes

Optimizing IOT Drones using Cellular Networks

Enhancing Fault Tolerance of Cloud Nodes using Replication Techniques

An efficient &amp; learning approach of POS tagging using rule-based for devanagari script

Architectural framework for cloud reliability model using fault tolerance techniques

Extracting Knowledge From Opinion Mining

Handling mislaid/missing data to attain data trait

AI Proposition for Crypt Information Management with Maximized EM Modelling

Higher Dimensional Data Access and Management with Improved Distance Metric Access for Higher Dimensional Non-Linear Data

Bayesian Network for Development of Expert System in Pest Management

Reliability Framework for Cloud Virtual Nodes using Fault Tolerance Techniques

Algorithms to enhance the Reliability of Virtual Nodes using Adaptive Fault Tolerance Techniques

Performance Evaluation of KNN & Decision Tree in Prediction of Heart Disease

An efficient & learning approach of POS tagging using rule-based for devanagari script