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Anonymized noise addition in subspaces for privacy preserved data mining in high dimensional continuous data

Peer-to-peer networking and applications, 2021-05, Vol.14 (3), p.1608-1628

2021

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Cluster based active learning for classification of evolving streams

Evolutionary intelligence, 2024-08, Vol.17 (4), p.2167-2191

2024

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Multi-modal sarcasm detection using ensemble net model

Knowledge and information systems, 2024-09

2024

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Energy-efficient mobile sink data collection in wireless sensor networks using LEACH with rendezvous nodes

Measurement : journal of the International Measurement Confederation, 2023-11, Vol.221, p.113541, Article 113541

2023

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Effective Automated Transformer Model based Sarcasm Detection Using Multilingual Data

Multimedia tools and applications, 2024-05, Vol.83 (16), p.47531-47562

2024

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PDSMV3-DCRNN: A novel ensemble deep learning framework for enhancing phishing detection and URL extraction

Computers & security, 2025-01, Vol.148, p.104123, Article 104123

2025

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Subspace based noise addition for privacy preserved data mining on high dimensional continuous data

Journal of ambient intelligence and humanized computing, 2020-03

2020

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Sarcasm detection using optimized bi-directional long short-term memory

Knowledge and information systems, 2024-09

2024

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Analyzing Adaptive and Non-Adaptive Online Learners on Imbalanced Evolving Streams

Informatica (Ljubljana), 2023, Vol.47 (5), p.1-19

2023

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A Crypto Scheme Using Data Obfuscation of Entity Detection and Replacement for Private Cloud

International journal of safety and security engineering, 2020-06, Vol.10 (3), p.417-422

2020

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Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction

Physical and engineering sciences in medicine, 2022-09, Vol.45 (3), p.949-959

2022

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Comparative Analysis of Machine Learning-Based Algorithms for Detection of Anomalies in IIoT

International journal of information retrieval research, 2022-05, Vol.12 (1), p.1-55

2022

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Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach

Data technologies and applications, 2022-03, Vol.56 (2), p.247-282

2022

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Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification

Revue d'Intelligence Artificielle, 2020-06, Vol.34 (3), p.307-313

2020

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An Enhanced Secure, Robust and Efficient Crypto Scheme for Ensuring Data Privacy in Public Cloud Using Obfuscation & Encryption

Ingénierie des systèmes d'Information, 2019-12, Vol.24 (6), p.603-609

2019

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An Effective Framework for Ensuring Data Privacy in Private Cloud

Smart Data Intelligence, 2022, p.535-547

2022

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Anonymized noise addition in subspaces for privacy preserved data mining in high dimensional continuous data

Cluster based active learning for classification of evolving streams

Multi-modal sarcasm detection using ensemble net model

Energy-efficient mobile sink data collection in wireless sensor networks using LEACH with rendezvous nodes

Effective Automated Transformer Model based Sarcasm Detection Using Multilingual Data

PDSMV3-DCRNN: A novel ensemble deep learning framework for enhancing phishing detection and URL extraction

Subspace based noise addition for privacy preserved data mining on high dimensional continuous data

Sarcasm detection using optimized bi-directional long short-term memory

Analyzing Adaptive and Non-Adaptive Online Learners on Imbalanced Evolving Streams

A Crypto Scheme Using Data Obfuscation of Entity Detection and Replacement for Private Cloud

Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction

Comparative Analysis of Machine Learning-Based Algorithms for Detection of Anomalies in IIoT

Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach

Deep Convolution Features in Non-linear Embedding Space for Fundus Image Classification

An Enhanced Secure, Robust and Efficient Crypto Scheme for Ensuring Data Privacy in Public Cloud Using Obfuscation & Encryption

An Effective Framework for Ensuring Data Privacy in Private Cloud

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