# Vijaya Chandra Jadala

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/vijaya-chandra-jadala/

## Facts

| Field | Value |
| --- | --- |
| Citations | 176 |
| Field | IoT and Edge/Fog Computing |
| h-index | 8 |
| i10-index | 7 |
| Last Known Institution | Centre for Artificial Intelligence and Robotics |
| OpenAlex ID | https://openalex.org/A5067137301 |
| Works | 52 |

## Researcher papers

- [An Innovative Artificial Intelligence Based Decision Making System for Public Health Crisis Virtual Reality Rehabilitation](https://scholariq.org/papers/an-innovative-artificial-intelligence-based-decision-making-system-for-public/)
- [Need of Intenet of Things, Industrial IoT, Industry 4.0 and Integration of Cloud for Industrial Revolution](https://scholariq.org/papers/need-of-intenet-of-things-industrial-iot-industry-4-0-and-integration-of-cloud/)
- [Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach](https://scholariq.org/papers/neurological-disease-prediction-using-impaired-gait-analysis-for-foot-position/)
- [Intelligent Voice Assistant by Using OpenCV Approach](https://scholariq.org/papers/intelligent-voice-assistant-by-using-opencv-approach/)
- [Transfer learning-enhanced CNN model for integrative ultrasound and biomarker-based diagnosis of polycystic ovarian disease](https://scholariq.org/papers/transfer-learning-enhanced-cnn-model-for-integrative-ultrasound-and-biomarker/)
- [Flower Identification and Classification applying CNN through Deep Learning Methodologies](https://scholariq.org/papers/flower-identification-and-classification-applying-cnn-through-deep-learning/)
- [Smart Dark Pattern Detection: Making Aware of Misleading Patterns Through the Intended App](https://scholariq.org/papers/smart-dark-pattern-detection-making-aware-of-misleading-patterns-through-the/)
- [Deep Learning analysis using ResNet for Early Detection of Cerebellar Ataxia Disease](https://scholariq.org/papers/deep-learning-analysis-using-resnet-for-early-detection-of-cerebellar-ataxia/)
- [Analyzing and Detecting Advanced Persistent Threat Using Machine Learning Methodology](https://scholariq.org/papers/analyzing-and-detecting-advanced-persistent-threat-using-machine-learning/)
- [Machine Learning based Authentication of loT Devices in Traffic Prediction for ITS](https://scholariq.org/papers/machine-learning-based-authentication-of-lot-devices-in-traffic-prediction-for/)
- [Deep Learning-Driven Computational Intelligence for Leaf Disease Identification for Smart Agriculture](https://scholariq.org/papers/deep-learning-driven-computational-intelligence-for-leaf-disease-identification/)

## Researcher topics

- [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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

## Researcher university

- [Centre for Artificial Intelligence and Robotics](https://scholariq.org/institutions/centre-for-artificial-intelligence-and-robotics/)

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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.