Diseases is an unusual circumstance that affects single or more parts of a human’s body. Because of lifestyle and patrimonial, different kinds of disease are increasing day by day. Among all those diseases, heart disease turns out to be the most common disease and the impact of this ailment is dangerous than all other diseases.…
IETE Journal of Research Template
Write in a clean editor, then format for IETE Journal of Research in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the IETE Journal of Research format
IETE Journal of Research is a peer-reviewed journal published by Taylor & Francis, covering Human auditory perception and evaluation, Diverse Scientific and Economic Studies, Educational Robotics and Engineering.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." IETE Journal of Research 12 (3): 45–58.
Formats any DOI in IETE Journal of Research style. No sign-up. |
| Publishes research in | Human auditory perception and evaluation Diverse Scientific and Economic Studies Educational Robotics and Engineering Microwave Engineering and Waveguides Antenna Design and Analysis |
| ISSN | 0377-2063 |
| Citation impact (2-yr) | 1.49 |
| h-index | 54 |
| i10-index | 969 |
| Total citations | 33,157 |
| Top institutions publishing here | Indian Institute of Technology Kharagpur |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IETE Journal of Research per year
Citation impact of IETE Journal of Research by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IETE Journal of Research
Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in people, over the age of 50. Even today, with many technologies and advancements, early detection of this disease remains a challenge. This necessitates a need for the machine learning-based automatic approaches that help clinicians to detect this disease accurately in its…
Retrieving information from the Web is becoming a common practice for internet users. However, the size and heterogeneity of the Web challenge the effectiveness of classical information retrieval techniques. Content-based retrieval of images and video has become a hot research area. The reason for this is the fact that we need effective and efficient techniques…
A mixed method is proposed for finding stable reduced order models of single-input- single-output large-scale systems using Pade approximation and the clustering technique. The denominator polynomial of the reduced order model is determined by forming the clusters of the poles of the original system, and the coefficients of numerator polynomial are obtained by using the…
Automated physiological signal monitoring to elderly sick patient is not only for fast access of data but also to get reliable service by accurate prediction by healthcare service provider. To address this challenge, this research focuses on novel Internet of Things (IoT) application-based physiological signal monitoring system to advance e-healthcare system. For the realization of…