Current Trends in Signal Processing

Current Trends in Signal Processing Cover

Current Trends in Signal Processing

ISSN: 2277–6176

Editor Overview

CTSP 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.

Prof. Ushaa Eswaran

Prof. Ushaa Eswaran

Principal Indira institute of technology & sciences,markapur Editor in Chief Current Trends in Signal Processing
Email :

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 Journal

Current Trends in Signal Processing (CTSP): 2277–6176(e) is a peer-reviewed hybrid open-access journal launched in 2011 focused on the rapid publication of

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Journals Particular

Title
Current Trends in Signal Processing
Journal Abbreviation
CTSP
Issues Per Year
(Frequency)
3 Issues (Jan-April,May-August,Sept-Dec)
ISSN
2277–6176
Impact Factor(SJIF)
Publisher
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI
10.37628/CTSP
Copyright
STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
Starting Year
2011
Subject
Electronics & Telecommunication Engineering
Language
English
Publication Format
Hybrid Open Access
Type of Publication
Peer-reviewed Journal (Refereed Journal)
Website
https://journals.stmjournals.com/journal/CTSP
Address
A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin – 201301
Principal Contact
Tanvi Singh Commissioning Editor
[email protected], 1204746104
Latest Article
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FACE EMOTION RECOGNITION TO DETECT DEPRESSION
Kalpesh Patil, Jayesh Umap, Yash Rathor, P.P Gaikwad
Keywords: Emotion detection, Convolutional Neural Network (CNN), deep learning, tensor flow, Depression, Emotion Recognition Model (EMR).

Regular Issue  Subscription Original Research Published on :- June 14, 2024
GESTURE AND VOICE DRIVEN REMOTE CONTROL SYSTEM
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Regular Issue  Subscription Original Research Published on :- June 14, 2024
Fake Currency Detection Using Convolutional Neural Networks
D.Jahnavi, Dr.P.M.K.Prasad, Dr.Guntu Nooka Raju, Dr. BPV Dileep, K.Lohitha
Keywords: Convolutional neural networks, Deep Learning, VGG16, Fake currency, accuracy

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