# Measurement Sensors

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/measurement-sensors/

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2665-9174 |
| ISSNs | 2665-9174 |
| OpenAlex ID | https://openalex.org/S4210238442 |
| Publisher | Elsevier BV |

## Journal papers

- [A comprehensive review on detection of plant disease using machine learning and deep learning approaches](https://scholariq.org/papers/a-comprehensive-review-on-detection-of-plant-disease-using-machine-learning-and/)
- [Moving object detection using modified GMM based background subtraction](https://scholariq.org/papers/moving-object-detection-using-modified-gmm-based-background-subtraction/)
- [Efficient methods for digital image watermarking and information embedding](https://scholariq.org/papers/efficient-methods-for-digital-image-watermarking-and-information-embedding/)
- [Bug2 algorithm-based data fusion using mobile element for IoT-enabled wireless sensor networks](https://scholariq.org/papers/bug2-algorithm-based-data-fusion-using-mobile-element-for-iot-enabled-wireless/)
- [Automated malware detection using machine learning and deep learning approaches for android applications](https://scholariq.org/papers/automated-malware-detection-using-machine-learning-and-deep-learning-approaches/)
- [Secure communication over wireless sensor network using image steganography with generative adversarial networks](https://scholariq.org/papers/secure-communication-over-wireless-sensor-network-using-image-steganography-with/)
- [Detection of fetal brain abnormalities using data augmentation and convolutional neural network in internet of things](https://scholariq.org/papers/detection-of-fetal-brain-abnormalities-using-data-augmentation-and-convolutional/)

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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.