# Momina Masood

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/momina-masood/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,493 |
| Field | Advanced Neural Network Applications |
| h-index | 21 |
| i10-index | 25 |
| Last Known Institution | University of Engineering and Technology Taxila |
| OpenAlex ID | https://openalex.org/A5046972993 |
| ORCID iD | 0000-0003-1977-1481 |
| Works | 36 |

## Researcher papers

- [Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward](https://scholariq.org/papers/deepfakes-generation-and-detection-state-of-the-art-open-challenges/)
- [A novel deep learning method for detection and classification of plant diseases](https://scholariq.org/papers/a-novel-deep-learning-method-for-detection-and-classification-of-plant-diseases/)
- [Prediction of Heart Disease Using Deep Convolutional Neural Networks](https://scholariq.org/papers/prediction-of-heart-disease-using-deep-convolutional-neural-networks/)
- [A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images](https://scholariq.org/papers/a-novel-deep-learning-method-for-recognition-and-classification-of-brain-tumors/)
- [Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model](https://scholariq.org/papers/detection-of-diabetic-eye-disease-from-retinal-images-using-a-deep-learning/)
- [A robust deep learning approach for tomato plant leaf disease localization and classification](https://scholariq.org/papers/a-robust-deep-learning-approach-for-tomato-plant-leaf-disease-localization-and/)
- [A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers](https://scholariq.org/papers/a-novel-and-effective-brain-tumor-classification-model-using-deep-feature-fusion/)
- [MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases](https://scholariq.org/papers/maizenet-a-deep-learning-approach-for-effective-recognition-of-maize-plant-leaf/)
- [Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural Network](https://scholariq.org/papers/artificial-intelligence-based-drone-system-for-multiclass-plant-disease/)
- [Melanoma segmentation: A framework of improved <scp>DenseNet77</scp> and <scp>UNET</scp> convolutional neural network](https://scholariq.org/papers/melanoma-segmentation-a-framework-of-improved-scp-densenet77-scp-and-scp-unet/)
- [Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification](https://scholariq.org/papers/efficient-attention-based-cnn-network-eanet-for-multi-class-maize-crop-disease/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Researcher university

- [University of Engineering and Technology Taxila](https://scholariq.org/institutions/university-of-engineering-and-technology-taxila/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.