# Madan Lal Saini

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/madan-lal-saini/

## Facts

| Field | Value |
| --- | --- |
| Citations | 481 |
| Field | Agricultural pest management studies |
| h-index | 12 |
| i10-index | 15 |
| Last Known Institution | Chandigarh University |
| OpenAlex ID | https://openalex.org/A5010779959 |
| ORCID iD | 0000-0003-4256-0439 |
| Works | 119 |

## Researcher papers

- [Analysis of Different CNN Architectures for Tomato Leaf Disease Classification](https://scholariq.org/papers/analysis-of-different-cnn-architectures-for-tomato-leaf-disease-classification/)
- [Impact and Performance Analysis of Various Activation Functions for Classification Problems](https://scholariq.org/papers/impact-and-performance-analysis-of-various-activation-functions-for/)
- [Study for the Prediction of E-Commerce Business Market Growth using Machine Learning Algorithm](https://scholariq.org/papers/study-for-the-prediction-of-e-commerce-business-market-growth-using-machine/)
- [Digital Image Enhancement using Conventional Neural Network](https://scholariq.org/papers/digital-image-enhancement-using-conventional-neural-network/)
- [Evaluating the Performance of Deep Learning Models in Handwritten Digit Recognition](https://scholariq.org/papers/evaluating-the-performance-of-deep-learning-models-in-handwritten-digit/)
- [Screening of citrus rootstocks for salt tolerance in semi-arid climates - A review](https://scholariq.org/papers/screening-of-citrus-rootstocks-for-salt-tolerance-in-semi-arid-climates-a-review/)
- [Performance Analysis of Deep CNN, YOLO, and LeNet for Handwritten Digit Classification](https://scholariq.org/papers/performance-analysis-of-deep-cnn-yolo-and-lenet-for-handwritten-digit/)
- [Deepfake Detection System Using Deep Neural Networks](https://scholariq.org/papers/deepfake-detection-system-using-deep-neural-networks/)
- [Large-scale production, field performance and RAPD analysis of micropropagated sugarcane plants](https://scholariq.org/papers/large-scale-production-field-performance-and-rapd-analysis-of-micropropagated/)
- [A Clinical Support System for Prediction of Heart Disease using Ensemble Learning Techniques](https://scholariq.org/papers/a-clinical-support-system-for-prediction-of-heart-disease-using-ensemble/)
- [Routing enabled optimization and deep recurrent VGG-16 model for plant disease detection in IoT](https://scholariq.org/papers/routing-enabled-optimization-and-deep-recurrent-vgg-16-model-for-plant-disease/)

## Researcher topics

- [Agricultural pest management studies](https://scholariq.org/topics/agricultural-pest-management-studies/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [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

- [Chandigarh University](https://scholariq.org/institutions/chandigarh-university/)

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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.