Ministry of Education
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Dr Venkata Krishnaveni Chennuru

vidwan id: 76511
Female

Lecturer, Department of Computer Science
SKR & SKR Govt.Degree College for Women

Orchid Icon 0000-0003-2209-483X Google Scholar Icon 57199505730 Researcher Icon X-4987-2018 Google Scholar Icon GQrjgHYAAAAJ

Expertise

  • Computer Science Interdisciplinary SCI

Publications

Total Articles 13
Books 0
Proceedings 0

Publications

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Scopus

Citations 8
h-index 1

CrossRef

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Citations 11
h-index 2
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Professional Recognition

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Community & Membership

2018

NIRF

Co-ordinator
2018

NAAC

Co-ordinator
2018

IQAC

Co-ordinator
2019

AISHE

Co-ordinator
2023

Autonomous

Coordinator

Computer Society of India

2023
Life-Time

Bio

Artificial Intelligence, Data Mining, Machine Learning

Personal Details

  • Female
  • Lecturer , SKR & SKR Govt.Degree College for Women
  • Department of Computer Science, SKR and SKR Government College for Women
Ph.D
University of Hyderabad 2022
SLET
Osmania University 2012
UGC NET
Other Institute 2012
FET
Other Institute 2011
M.Tech
Other Institute 2008
Lecturer Jun 2018 – Present
SKR & SKR Govt.Degree College for Women | Department of Computer Science

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Scholarly Work

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IoT- Based Micropayment Protocol for Wearable Devices with Biometric Verification

Mohana
Dr. R. Madana; Kumari
P. Ila Chandana; (Assistant Professor
ECE)
Prashant; Neelampalli
Jayanthi; Krishnaveni
C. V.; Babu
Chandika Mohan; (Assistant Professor
CSE)
K. S. Niraja; Vatti
Dr. Rambabu Arjunarao; Chordiya
Dr. S. B. and Reddy
Dr. Praveen Kumar
Engineering and Technology Patent No. : 2020101940 Filed : 21-08-2020
Published : 16-09-2020 Published

Intelligent Customer Segmentation using Machine Learning and Deep Learning Programming

1 . Dr. S. RA JALAKSHMI (PROFESSOR / IT) 2 . K.S. NIRA JA (ASSISTANT PROFESSOR-CSE) 3 . Dr. L.K. INDUMATHI (PROFESSOR /CSE) 4 . C.V. KRISHNAVENI ( LECTURER IN COMPUTER SCIENCE) 5 . Dr. L. MALLIGA (PROFESSOR/ ECE)
- Application No. : 202041030787 Filed : 20-07-2020
Published : 14-08-2020 Published

ENTERPRISE IOT-BASED APPLICATION DEVELOPMENT PLATFORM USING MACHINE AND DEEP LEARNING

DR. OM PRAKASH YADAV (ASSOCIATE PROFESSOR) 2 . MS. SANEH LATA YADAV 3 . ADIPALLY SAIKRISHNA 4 . MS. C.V. KRISHNA VENI (LECTURE IN COMPUTER SCIENCE) M.TECH.ADSE.
(PH.D). 5 . Dr. MANJU KHARI 6 . ANKIT AGARWAL
Engineering and Technology Application No. : 202021013556 Filed : 27-03-2020
Published : 05-06-2021 Published

forecasting system (electric delivery vehicles) using advanced machine learning.

Mr.Nagaraj A Shet
Engineering and Technology Application No. : 201941045162 Filed : 06-11-2019
Published : 29-11-2019 Published

Scholarly Publications

Comparative Study of Noise Filters on Attribute Noise Datasets using Support Vector Machine for classification.

Open Access
article
Year: 2018. Volume: 8 , Pages: 38-42 .
Authors: A.Haritha

MahalCUSFilter: A hybrid undersampling method to improve the minority classification rate of imbalanced datasets

Open Access
Conference Paper
Year: 2017. Volume: 10682 LNAI , Pages: 43-53 .
Authors: Chennuru V.;Timmappareddy S.
DOI 10.1007/978-3-319-71928-3_5
1 1

Ensemble based classification using small training sets : A novel approach

Open Access
conference proceedings
Year: 2014.
Authors: C.V. Krishnaveni

Artificial Vision–A Bionic Eye

Open Access
article
Year: 2012.
Authors: C.V. Krishnaveni

On the classification of imbalanced datasets

Open Access
article
Year: 2011.
Authors: C.V. Krishnaveni