# Technology and Security Systems

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/technology-and-security-systems/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the applications and technologies related to the Internet of Things (IoT) and Big Data, including data security, deep learning, wireless communication, smart grid, sensor networks, cloud computing, machine learning, and industrial IoT. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t14042 |
| Works | 10 |

## Topic papers all

- [Image recognition of plant diseases based on backpropagation networks](https://scholariq.org/papers/image-recognition-of-plant-diseases-based-on-backpropagation-networks/)
- [Crop disease identification and interpretation method based on multimodal deep learning](https://scholariq.org/papers/crop-disease-identification-and-interpretation-method-based-on-multimodal-deep/)
- [An Effective Image Classification Method for Plant Diseases with Improved Channel Attention Mechanism aECAnet Based on Deep Learning](https://scholariq.org/papers/an-effective-image-classification-method-for-plant-diseases-with-improved/)
- [A Novel Security Risk Analysis Using the AHP Method in Smart Railway Systems](https://scholariq.org/papers/a-novel-security-risk-analysis-using-the-ahp-method-in-smart-railway-systems/)
- [Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification](https://scholariq.org/papers/dual-discriminator-gan-based-synthetic-crop-disease-image-generation-for-precise/)
- [Design of agricultural product trace coding based on geography coordinate and multi-encrypt.](https://scholariq.org/papers/design-of-agricultural-product-trace-coding-based-on-geography-coordinate-and/)
- [DCNN Transfer Learning and Multi-model Integration for Disease and Weed Identification](https://scholariq.org/papers/dcnn-transfer-learning-and-multi-model-integration-for-disease-and-weed/)
- [Design and Research of Intelligent Sensing Technology of Distribution Network Equipment Based on FFT Algorithm](https://scholariq.org/papers/design-and-research-of-intelligent-sensing-technology-of-distribution-network/)
- [Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification](https://scholariq.org/papers/enhancing-soybean-disease-diagnosis-using-cnn-based-feature-extraction-and/)
- [Basic Study of Process for Small Network Computer Construction](https://scholariq.org/papers/basic-study-of-process-for-small-network-computer-construction/)

## Topic primary papers

- [Design and Research of Intelligent Sensing Technology of Distribution Network Equipment Based on FFT Algorithm](https://scholariq.org/papers/design-and-research-of-intelligent-sensing-technology-of-distribution-network/)

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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.