Rinkle Rani

Orcid: 0000-0002-5970-1026

Affiliations:
  • Thapar Institute of Engineering and Technology, Department of Computer Science & Engineering, India


According to our database1, Rinkle Rani authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Soundtrack Success: Unveiling Song Popularity Patterns Using Machine Learning Implementation.
SN Comput. Sci., March, 2024

Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson's Disease Detection.
SN Comput. Sci., January, 2024

A multilayered framework for diagnosis and classification of Alzheimer's disease using transfer learned Alexnet and LSTM.
Neural Comput. Appl., 2024

2023
Stocks of year 2020: prediction of high variations in stock prices using LSTM.
Multim. Tools Appl., March, 2023

2022
An Ontology driven model for detection and classification of cardiac arrhythmias using ECG data.
J. Intell. Inf. Syst., 2022

A Blockchain-based Framework for Privacy Preservation of Electronic Health Records (EHRs).
Trans. Emerg. Telecommun. Technol., 2022

An interval type-2 fuzzy ontological model: Predicting water quality from sensory data.
Concurr. Comput. Pract. Exp., 2022

Modified valence aware dictionary for sentiment reasoning classifier for detection and classification of Covid-19 related rumors from social media data streams.
Concurr. Comput. Pract. Exp., 2022

An efficient approach for detecting anomalous events in real-time weather datasets.
Concurr. Comput. Pract. Exp., 2022

2021
Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation.
Multim. Tools Appl., 2021

Blockchain-based framework for secured storage, sharing, and querying of electronic healthcare records.
Concurr. Comput. Pract. Exp., 2021

2020
A graph-based model to improve social trust and influence for social recommendation.
J. Supercomput., 2020

Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease.
Mach. Vis. Appl., 2020

AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder.
Multim. Tools Appl., 2020

Drug sensitivity prediction framework using ensemble and multi-task learning.
Int. J. Mach. Learn. Cybern., 2020

Prioritizing the Surgical Waiting List-Cosine Consistency Index: An Optimized Framework for Prioritizing Surgical Waiting List.
J. Medical Imaging Health Informatics, 2020

Ontology driven human activity recognition in heterogeneous sensor measurements.
J. Ambient Intell. Humaniz. Comput., 2020

An Efficient Clustering Algorithm for Mixed Dataset of Postoperative Surgical Records.
Int. J. Comput. Intell. Syst., 2020

Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph.
Int. J. Cogn. Informatics Nat. Intell., 2020

Improving malware detection using big data and ensemble learning.
Comput. Electr. Eng., 2020

2019
Diagnosis of Parkinson's Disease Using Principle Component Analysis and Deep Learning.
J. Medical Imaging Health Informatics, 2019

A study of big data evolution and research challenges.
J. Inf. Sci., 2019

A scalable correlation-based approach for outlier detection in wireless body sensor networks.
Int. J. Commun. Syst., 2019

A distributed overlapping community detection model for large graphs using autoencoder.
Future Gener. Comput. Syst., 2019

C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods.
Comput. Methods Programs Biomed., 2019

General correlation coefficient based agglomerative clustering.
Clust. Comput., 2019

2018
Systematic Review of Clustering High-Dimensional and Large Datasets.
ACM Trans. Knowl. Discov. Data, 2018

DFuzzy: a deep learning-based fuzzy clustering model for large graphs.
Knowl. Inf. Syst., 2018

An intuitive general rank-based correlation coefficient.
Frontiers Inf. Technol. Electron. Eng., 2018

KSRMF: Kernelized similarity based regularized matrix factorization framework for predicting anti-cancer drug responses.
J. Intell. Fuzzy Syst., 2018

An integrated framework for identification of effective and synergistic anti-cancer drug combinations.
J. Bioinform. Comput. Biol., 2018

An Adaptive Security Model for Dynamic Node Behaviour in MANETs.
KSII Trans. Internet Inf. Syst., 2018

Ap-FSM: A parallel algorithm for approximate frequent subgraph mining using Pregel.
Expert Syst. Appl., 2018

Correlation clustering methodologies and their fundamental results.
Expert Syst. J. Knowl. Eng., 2018

PFCA: An influence-based parallel fuzzy clustering algorithm for large complex networks.
Expert Syst. J. Knowl. Eng., 2018

BE-DTI': Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning.
Comput. Methods Programs Biomed., 2018

Big Data Framework for Zero-Day Malware Detection.
Cybern. Syst., 2018

2017
Local graph based correlation clustering.
Knowl. Based Syst., 2017

An efficient approach for outlier detection in big sensor data of health care.
Int. J. Commun. Syst., 2017

A parallel fuzzy clustering algorithm for large graphs using Pregel.
Expert Syst. Appl., 2017

An efficient algorithm for sampling of a single large graph.
Proceedings of the Tenth International Conference on Contemporary Computing, 2017

2016
Partially distributed dynamic model for secure and reliable routing in mobile ad hoc networks.
J. Commun. Networks, 2016

Energy Efficient and Secure Multipoint Relay Selection in Mobile Ad hoc Networks.
KSII Trans. Internet Inf. Syst., 2016

Segmentation of retail customers based on cluster analysis in building successful CRM.
Int. J. Bus. Inf. Syst., 2016

2015
A Smart Polyglot Solution for Big Data in Healthcare.
IT Prof., 2015

A Security Model based on Reputation and Collaboration through Route-Request in Mobile Ad Hoc Networks.
KSII Trans. Internet Inf. Syst., 2015

Managing Data in Healthcare Information Systems: Many Models, One Solution.
Computer, 2015

2013
Modeling and querying data in NoSQL databases.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2010
Survey and Comparison of Optical Switch Fabrication Techniques and Architectures
CoRR, 2010


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