# Centre for Development of Advanced Computing

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/centre-for-development-of-advanced-computing/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 26 |
| Citations | 84,056 |
| City | Pune |
| Country | IN |
| Description | Centre for Development of Advanced Computing is a research organisation in Pune, IN. OpenAlex records 4,507 works and 84,056 citations for it. 1,871 researchers list it as their most recent affiliation. |
| Homepage | http://cdac.in/ |
| OpenAlex ID | https://openalex.org/I1331500379 |
| Researchers | 1,871 |
| ROR ID | https://ror.org/022abst40 |
| Type | facility |
| Wikidata ID | https://www.wikidata.org/wiki/Q3519908 |
| Works | 4,507 |

## University papers

- [An Efficient VGG19 Framework for Malaria Detection in Blood Cell Images](https://scholariq.org/papers/an-efficient-vgg19-framework-for-malaria-detection-in-blood-cell-images/)
- [Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data](https://scholariq.org/papers/surface-fires-in-jharia-coalfield-india-their-distribution-and-estimation-of/)
- [Smart Shoe Classification Using Artificial Intelligence on EfficientnetB3 Model](https://scholariq.org/papers/smart-shoe-classification-using-artificial-intelligence-on-efficientnetb3-model/)
- [Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer](https://scholariq.org/papers/brain-tumor-detection-using-vgg19-model-on-adadelta-and-sgd-optimizer/)
- [Automated COVID‐19 detection in chest X‐ray images using <scp>fine‐tuned</scp> deep learning architectures](https://scholariq.org/papers/automated-covid-19-detection-in-chest-x-ray-images-using-scp-fine-tuned-scp-deep/)
- [Extraction of Multiple Diseases in Apple Leaf Using Machine Learning](https://scholariq.org/papers/extraction-of-multiple-diseases-in-apple-leaf-using-machine-learning/)
- [Laser isolation of shunted regions in industrial solar cells](https://scholariq.org/papers/laser-isolation-of-shunted-regions-in-industrial-solar-cells/)
- [Brain Tumor Classification using VGG 16, ResNet50, and Inception V3 Transfer Learning Models](https://scholariq.org/papers/brain-tumor-classification-using-vgg-16-resnet50-and-inception-v3-transfer/)
- [Automatic Detection of Cassava Leaf Disease using Transfer Learning Model](https://scholariq.org/papers/automatic-detection-of-cassava-leaf-disease-using-transfer-learning-model/)
- [Characterizations and model selections through reliability measures in the discrete case](https://scholariq.org/papers/characterizations-and-model-selections-through-reliability-measures-in-the/)
- [Automatic Approach Based on Deep Learning for Tea Leaf Disease Detection](https://scholariq.org/papers/automatic-approach-based-on-deep-learning-for-tea-leaf-disease-detection/)

## University researchers

- [Rupesh Gupta](https://scholariq.org/researchers/rupesh-gupta/)

## University top topics

Showing 8 of 25.

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Parallel Computing and Optimization Techniques](https://scholariq.org/topics/parallel-computing-and-optimization-techniques/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Distributed and Parallel Computing Systems](https://scholariq.org/topics/distributed-and-parallel-computing-systems/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)

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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.