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Measurement Sensors is a peer-reviewed journal published by Elsevier, covering Scientific Measurement and Uncertainty Evaluation, IoT and Edge/Fog Computing, Sensor Technology and Measurement Systems.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Measurement Sensors 12 (2023) 45–58.
Formats any DOI in Measurement Sensors style. No sign-up. |
| Publishes research in | Scientific Measurement and Uncertainty Evaluation IoT and Edge/Fog Computing Sensor Technology and Measurement Systems Advanced Sensor Technologies Research Advanced Measurement and Metrology Techniques |
| ISSN | 2665-9174 |
| Citation impact (2-yr) | 3.52 |
| h-index | 52 |
| i10-index | 472 |
| Total citations | 17,383 |
| Article processing charge | $1,800 |
| Open access | Yes |
| Top institutions publishing here | Physikalisch-Technische Bundesanstalt |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Agriculture plays a significant part in India due to their population growth and increased food demands. Hence, there is a need to enhance the yield of crop. One of these important effects on low crop yields is diseases caused by bacteria, fungi and viruses. This can be prevented and handled by means of applying plant…
Diseases that affect plant leaves stop the growth of their individual species. Early and accurate diagnosis of plant diseases may reduce the likelihood that the plant will suffer further harm. The intriguing approach needed more time, exclusivity, and skill. Images of leaves are used to identify plant leaf diseases. Research on deep learning (DL) appears…
Convolutional neural network (CNN) is widely used to classify brain tumors with high accuracy. Since CNN collects features randomly without knowing the local and global features and causes overfitting problems, this research proposes a novel parallel deep convolutional neural network (PDCNN) topology to extract both global and local features from the two parallel stages and…
Alzheimer's disease (AD) is one of the most prevalent types of dementia, which primarily affects people over age 60. In clinical practice, it is a challenging task to identify AD in its early stages, and there are currently very few reliable diagnostic systems available for the identification. Additionally, clinical studies for AD medications have a…
The development of aberrant brain cells, some of which may become cancerous, is known as a brain tumour. The quality of life and life expectancy of patients are enhanced by early and timely illness identification and treatment plans. Magnetic Resonance Imaging (MRI) scans are the most common approach for finding brain tumors. However, the ability…
