INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Artificial Intelligence (AI) and Machine Learning (ML) for Latest Trends in Biosensing Applications
Authors Name:
SAGNIK JANA
Unique Id:
IJSDR2310067
Published In:
Volume 8 Issue 10, October-2023
Abstract:
Biosensors are becoming more popular as analytical tools based to their ability to detect and identify biological substances in a variety of applications. Biosensors have proven useful in many important fields such as medicine, food safety, environmental monitoring, security, medicine and verification. One of the leaders in the biosensor market is diagnostic equipment, as diagnostic equipment supports approximately 70% of medical decisions. This article explains on the use of artificial intelligence (AI) and machine learning (ML) in various types of biosensors. Artificial intelligence increases the capabilities of biosensors and is used in automation, electronics, medical devices, etc. It opens up new opportunities in fields. Wearable biosensors are now entering our daily lives and playing an important role in the advancement of technology. Biosensors with micro-nano structure have advantages such as small size, high sensitivity, production, simple arrangement and integration compared to chemical biosensors, and these advantages make them an improved method for pressure sensors. In this article, we review recent advances in machine learning for biosensor applications. We discuss various machine learning techniques applied to biosensors, including models for data processing, feature extraction, classification, and data analysis. Issues related to machine learning and biosensor integration are also touched upon and future trends in this field are presented.
Keywords:
Artificial intelligence, Machine learning, Biosensor network, Wearable biosensors, Deep learning, Support Vector Machine
Cite Article:
"Artificial Intelligence (AI) and Machine Learning (ML) for Latest Trends in Biosensing Applications", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.388 - 399, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310067.pdf
Downloads:
000338719
Publication Details:
Published Paper ID: IJSDR2310067
Registration ID:208941
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 388 - 399
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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