# Anjaneyulu Gudla

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/anjaneyulu-gudla/

## Facts

| Field | Value |
| --- | --- |
| Citations | 0 |
| Field | Stock Market Forecasting Methods |
| h-index | 0 |
| i10-index | 0 |
| Last Known Institution | National Institute of Technology Warangal |
| OpenAlex ID | https://openalex.org/A5121536102 |
| Works | 5 |

## Researcher papers

- [AI-Powered Image-based Crop Disease Detection: A Deep Learning Approach for Smart Farming Systems](https://scholariq.org/papers/ai-powered-image-based-crop-disease-detection-a-deep-learning-approach-for-smart/)
- [Machine Learning Driven Economic Forecosting System for Real Time Market Insights](https://scholariq.org/papers/machine-learning-driven-economic-forecosting-system-for-real-time-market/)
- [Harnessing Artificial Intelligence cybersecurity: cutting edge collaboration of SAP AWS to safeguard life science data](https://scholariq.org/papers/harnessing-artificial-intelligence-cybersecurity-cutting-edge-collaboration-of/)
- [IoT and AI for Real-Time Safety Monitoring](https://scholariq.org/papers/iot-and-ai-for-real-time-safety-monitoring/)
- [Deep Learning Techniques: GAN and LSTM for Stock Market Closing Price Prediction](https://scholariq.org/papers/deep-learning-techniques-gan-and-lstm-for-stock-market-closing-price-prediction/)

## Researcher topics

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Forecasting Techniques and Applications](https://scholariq.org/topics/forecasting-techniques-and-applications/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [National Institute of Technology Warangal](https://scholariq.org/institutions/national-institute-of-technology-warangal/)

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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.