# Smart Systems and Machine Learning

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/smart-systems-and-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on cognitive radio networks, machine learning, and smart technologies for applications such as spectrum handovers, smart farming, urban sustainability, IoT, and wireless sensor networks. It also addresses security techniques, energy efficiency, and social awareness in the context of cognitive radio networks. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t13693 |
| Works | 54 |

## Topic papers all

Showing 15 of 54.

- [Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare](https://scholariq.org/papers/heart-disease-identification-method-using-machine-learning-classification-in-e/)
- [Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model](https://scholariq.org/papers/automated-detection-and-classification-of-fundus-diabetic-retinopathy-images/)
- [A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions](https://scholariq.org/papers/a-review-on-machine-learning-styles-in-computer-vision-techniques-and-future/)
- [Detection of rice plant diseases based on deep transfer learning](https://scholariq.org/papers/detection-of-rice-plant-diseases-based-on-deep-transfer-learning/)
- [Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques](https://scholariq.org/papers/hybrid-model-for-detection-of-cervical-cancer-using-causal-analysis-and-machine/)
- [Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine](https://scholariq.org/papers/cloud-computing-based-framework-for-breast-cancer-diagnosis-using-extreme/)
- [An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier](https://scholariq.org/papers/an-ai-based-intelligent-system-for-healthcare-analysis-using-ridge-adaline/)
- [Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm](https://scholariq.org/papers/breast-cancer-risk-prediction-using-xgboost-and-random-forest-algorithm/)
- [Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach](https://scholariq.org/papers/revolutionizing-maize-disease-management-with-federated-learning-cnns-a/)
- [Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification](https://scholariq.org/papers/empowering-farmers-with-ai-federated-learning-of-cnns-for-wheat-diseases-multi/)
- [En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis](https://scholariq.org/papers/en-minwhale-an-ensemble-approach-based-on-mrmr-and-whale-optimization-for-cancer/)
- [Transforming Agriculture : Federated Learning CNNs for Wheat Disease Severity Assessment](https://scholariq.org/papers/transforming-agriculture-federated-learning-cnns-for-wheat-disease-severity/)
- [Next-Generation Wheat Disease Monitoring: Leveraging Federated Convolutional Neural Networks for Severity Estimation](https://scholariq.org/papers/next-generation-wheat-disease-monitoring-leveraging-federated-convolutional/)
- [Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model](https://scholariq.org/papers/deep-learning-with-backtracking-search-optimization-based-skin-lesion-diagnosis/)
- [A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment](https://scholariq.org/papers/a-smart-waste-classification-model-using-hybrid-cnn-lstm-with-transfer-learning/)

## Topic primary papers

- [Transforming Agriculture : Federated Learning CNNs for Wheat Disease Severity Assessment](https://scholariq.org/papers/transforming-agriculture-federated-learning-cnns-for-wheat-disease-severity/)
- [A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment](https://scholariq.org/papers/a-smart-waste-classification-model-using-hybrid-cnn-lstm-with-transfer-learning/)
- [Securing Internet of Medical Things (IoMT) Devices with Deep Learning Techniques](https://scholariq.org/papers/securing-internet-of-medical-things-iomt-devices-with-deep-learning-techniques/)

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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.