Rizwan A. Naqvi

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 34 publications

ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.

ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.

Journal: Journal of imaging

Published: July 21, 2025

Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach.

Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach.

Journal: Journal of environmental management

Published: May 31, 2024

Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations.

Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations.

Journal: Journal of X-ray science and technology

Published: May 03, 2024

Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI.

Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI.

Journal: Frontiers in plant science

Published: March 18, 2024

Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey.

Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey.

Journal: Frontiers in bioengineering and biotechnology

Published: February 28, 2024

Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations.

Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations.

Journal: Frontiers in plant science

Published: December 15, 2023

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

Journal: Computers in biology and medicine

Published: August 18, 2023

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.

Journal: Sensors (Basel, Switzerland)

Published: August 04, 2023

Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms.

Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms.

Journal: Environmental pollution (Barking, Essex : 1987)

Published: May 01, 2023

Road Feature Detection for Advance Driver Assistance System Using Deep Learning.

Road Feature Detection for Advance Driver Assistance System Using Deep Learning.

Journal: Sensors (Basel, Switzerland)

Published: March 14, 2023

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images.

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images.

Journal: Cancers

Published: March 07, 2023

Multi-classification deep neural networks for identification of fish species using camera captured images.

Multi-classification deep neural networks for identification of fish species using camera captured images.

Journal: PloS one

Published: February 24, 2023

Showing 1-12 of 34

Last Updated: 09/26/2026