# Rajat Amat

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/rajat-amat/

## Facts

| Field | Value |
| --- | --- |
| Citations | 83 |
| Field | Smart Agriculture and AI |
| h-index | 6 |
| i10-index | 2 |
| Last Known Institution | Indian Institute of Technology Guwahati |
| OpenAlex ID | https://openalex.org/A5048408827 |
| ORCID iD | 0009-0001-8788-4800 |
| Works | 25 |

## Researcher papers

- [Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101](https://scholariq.org/papers/wafer-defect-identification-with-optimal-hyper-parameter-tuning-of-support-2/)
- [A methodical analysis of deep learning techniques for detecting Indian lentils](https://scholariq.org/papers/a-methodical-analysis-of-deep-learning-techniques-for-detecting-indian-lentils/)
- [Evaluation of optimization techniques with support vector machine for identification of dry beans](https://scholariq.org/papers/evaluation-of-optimization-techniques-with-support-vector-machine-for/)
- [Smart Accident Detection and Emergency Notification System with GPS and GSM Integration](https://scholariq.org/papers/smart-accident-detection-and-emergency-notification-system-with-gps-and-gsm/)
- [Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization](https://scholariq.org/papers/maximizing-steel-slice-defect-detection-integrating-resnet101-deep-features-with/)
- [Wafer Defect Identification with Optimal Hyper-Parameter Tuning of Support Vector Machine using the Deep Feature of ResNet 101](https://scholariq.org/papers/wafer-defect-identification-with-optimal-hyper-parameter-tuning-of-support/)
- [Bi-layer deep feature fusion based mineral classification using hand-specimen images](https://scholariq.org/papers/bi-layer-deep-feature-fusion-based-mineral-classification-using-hand-specimen/)
- [RETRACTED: ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification](https://scholariq.org/papers/retracted-resnet101-svm-hybrid-convolutional-neural-network-for-citrus-fruits/)
- [Comparative Analysis of Deep Learning Models and ResNet101-SVM Ensemble for Effective Garbage Classification](https://scholariq.org/papers/comparative-analysis-of-deep-learning-models-and-resnet101-svm-ensemble-for/)
- [Integrated Approach for Dust Identification and Deep Learning-Based Classification of Photovoltaic Panels](https://scholariq.org/papers/integrated-approach-for-dust-identification-and-deep-learning-based/)
- [ConvStem-ViT: A Vision Transformer Framework for Season-Aware Tea Leaf Disease Prediction](https://scholariq.org/papers/convstem-vit-a-vision-transformer-framework-for-season-aware-tea-leaf-disease/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Underwater Vehicles and Communication Systems](https://scholariq.org/topics/underwater-vehicles-and-communication-systems/)

## Researcher university

- [Indian Institute of Technology Guwahati](https://scholariq.org/institutions/indian-institute-of-technology-guwahati/)

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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.