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joci

Journal of Control & Instrumentation

ISSN: 2229-6972

Editors Overview

joci maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.



Publisher

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
E-mail: [email protected]
(Tel) (+91) 0120- 4781 200
(Mob) (+91) 9810078958, +919667725932

About the Journal

Journal of Control & Instrumentation (joci): 2229-6972(e) is a peer-reviewed hybrid open-access journal launched in 2010 focused on the publication of current research work carried out under controlling and instrumentation. View Full Focus and Scope…

Journal Particulars

Title
Journal of Control & Instrumentation
Journal Abbreviation
joci
Issues Per Year (Frequency)
3 Issues (Jan-April,May-August,Sept-Dec)
ISSN
2229-6972
Impact Factor(SJIF)
3.647
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI
10.37591/JoCI
Copyright
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Starting Year
2010
Subject
Electrical Engineering
Language
English
Publication Format
Hybrid Open Access
Type of Publication
Peer-reviewed Journal (Refereed Journal)
Website
https://journals.stmjournals.com/joci
Address
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
Indexing
Cite Factor, Directory of Research Journals Indexing (DRJI), Genamics, Google Scholar, Journal TOCs, Publons, SJIF
CODEN
JCIOCT
Principal Contact
Tanvi Singh

[email protected]

+911204781215

Latest Article

Vol-14 Issue-01 2023

Regular Issue  Subscription Original Research Published on :- 30-May-2023

Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
CHANDAN SHEIKDER
Keywords: Computer Graphics, 3D Graphics and Realism, Virtual Reality, Demonstration and Material Gateway, Sensorial input and O/I, Client Experience, Information Interface.


Regular Issue  Subscription Original Research Published on :- 15-May-2023

Alzheimer disorders diagnosis system design using machine learning for EEG signal
Usha B. Patel, Vandana V. Patel
Keywords: Alzheimer’s Disease, Electroencephalogram, Discrete Wavelet Transform, Logarithmic Band Power, Machine Learning.


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