Manoj Kumar Gupta - researchr alias

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Viewing Publication 1 - 24 from 24

2024

2023

Computational Model for Prediction of Malignant Mesothelioma DiagnosisSurbhi Gupta 0002, Manoj Kumar Gupta. cj, 66(1):86-100, January 2023. [doi]

AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19Harnain Kour, Manoj Kumar Gupta. npl, 55(3):2265-2304, June 2023. [doi]

Quantitative and Qualitative Analysis of the human upper airway volumesPayal Maken, Abhishek Gupta 0005, Shailendra Singh Rana, Manoj Kumar Gupta. icccnt 2023: 1-7 [doi]

A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric imagesPayal Maken, Abhishek Gupta 0005, Manoj Kumar Gupta. mbec, 61(8):1901-1927, August 2023. [doi]

A conditional input-based GAN for generating spatio-temporal motor imagery electroencephalograph dataIfrah Raoof, Manoj Kumar Gupta. nca, 35(29):21841-21861, October 2023. [doi]

CIAE: class imbalance aware ensemble framework to predict drug side effectsKanica Sachdev, Manoj Kumar Gupta. ijmei, 15(5):458-469, 2023. [doi]

2022

A Novel Multi-Neural Ensemble Approach for Cancer DiagnosisSurbhi Gupta 0002, Manoj Kumar Gupta, Rakesh Kumar. aai, 36(1), 2022. [doi]

Effects of similarity/distance metrics on k-means algorithm with respect to its applications in IoT and multimedia: a reviewManoj Kumar Gupta, Pravin Chandra. mta, 81(26):37007-37032, 2022. [doi]

A comprehensive data-level investigation of cancer diagnosis on imbalanced dataSurbhi Gupta, Manoj Kumar Gupta. ci, 38(1):156-186, 2022. [doi]

A hybrid-security model for privacy-enhanced distributed data miningTanzeela Javid, Manoj Kumar Gupta, Abhishek Gupta. jksucis, 34(Issue):3602-3614, 2022. [doi]

Accelerating the Performance of Sequence Classification Using GPU Based Ensemble Learning with Extreme Gradient BoostingKaramjeet Kaur, Anil Kumar Sagar, Sudeshna Chakraborty, Manoj Kumar Gupta. icacds 2022: 257-268 [doi]

Predicting the language of depression from multivariate twitter data using a feature-rich hybrid deep learning modelHarnain Kour, Manoj Kumar Gupta. concurrency, 34(24), 2022. [doi]

An ensemble-based approach using structural feature extraction method with class imbalance handling technique for drug-target interaction predictionArjun Puri, Manoj Kumar Gupta, Kanica Sachdev. mta, 81(26):37499-37517, 2022. [doi]

Improved Hybrid Bag-Boost Ensemble With K-Means-SMOTE-ENN Technique for Handling Noisy Class Imbalanced DataArjun Puri, Manoj Kumar Gupta. cj, 65(1):124-138, 2022. [doi]

2021

Knowledge discovery from noisy imbalanced and incomplete binary class dataArjun Puri, Manoj Kumar Gupta. eswa, 181:115179, 2021. [doi]

2019

in silico approachManoj Kumar Gupta, Ramakrishna Vadde. CANDC, 79:24-35, 2019. [doi]

A comprehensive review of feature based methods for drug target interaction predictionKanica Sachdev, Manoj Kumar Gupta. jbi, 93, 2019. [doi]

2013

A framework for alignment-free methods to perform similarity analysis of biological sequenceManoj Kumar Gupta, Rajdeep Niyogi, Manoj Misra. ic3 2013: 337-342 [doi]

2009

Simulation of Power Efficient Region Based Approach for Query Processing in Wireless Sensor NetworksManoj Kumar Gupta, Mayank Dave, Archana Purwar. icetet 2009: 1104-1109 [doi]

2008

Implementation of e-government in Nepal: prospects, opportunities and threatsKshitish Bhattarai, Manoj Kumar Gupta. icegov 2008: 483-484 [doi]

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