Dr JOHN BABU
Associate Professor
| Department of Computer Science and Engineering
Anurag Engineering College, Suryapet
Telangana
Expertise:
Computer Science Artificial Intelligence
15
Publications
0
Projects
62
Scopus Citations
68
CrossRef
28 Years 2 Months Total Experience
Scopus
62
Citations
3
h-index
CrossRef
68
Citations
4
h-index
Google Scholar
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Professional Recognition
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Community & Membership
Academic Planning Committee
ChairmanISTE
LIFEPersonal Details
Doctor of Philosophy
2021
Institute of immunodhaemetology (indian counsil of medical research)
Master of Technology
2010
Institute of immunodhaemetology (indian counsil of medical research)
Bachelor of Technology
1998
N/A
Associate Professor
Sep 2024 – Present
Anurag Engineering College, Suryapet
| Department of Computer Science and Engineering
Head of the Department
Aug 2019 – Aug 2024
Vijaya Engineering College
Head of the Department
Dec 2010 – Aug 2019
Sree Kavitha College of Management and Information Technology
Assistant Professor (Senior Grade)
Jan 2000 – Dec 2010
Sri Venkateswara Engineering College
Assistant Professor
Jul 1998 – Dec 1999
Dr. Samuel George Institute of Engineering & Technology, George Town, Darimadugum,(Post & Village) , Markapur(M), PIN-523 316.(CC-35)
Engineering and Technology
Scholarly Work
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AN AI BASED METHOD FOR EARLY DETECTION OF CERVICAL CANCE
JOHN BABU GUTTIKONDA
-
Application No. :
202441088441
Filed :
15-11-2024
Published :
22-11-2024
Published
A SYSTEM AND METHOD BASED ON IOT AND AI FOR DETECTING ANIMALS ALERTING DRIVERS IN FOREST HIGHWAYS
JOHN BABU ANURAG ENGINEERING COLLEG
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Application No. :
202441067338
Filed :
05-09-2024
Published :
13-09-2024
Published
Scholarly Publications
CyberShieldDL: A Hybrid Deep Learning Architecture for Robust Intrusion Detection and Cyber Threat Classification
Open AccessFUSIONSCANAI: AN ATTENTION-BASED MULTI-MODAL FRAMEWORK FOR CANCER DETECTION FROM MRI AND CT IMAGES
Adaptive Channel Recalibration for Deep Learning-Driven Steganalysis
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring
Open AccessA Scalable Deep Learning System for Non-invasive Crop Disease Monitoring via Mobile Platforms
KAN-Steganalysis: A Kolmogorov-Arnold Network Framework for Interpretable and Efficient Image Steganalysis
A Survey on Different Feature Extraction and Classification Techniques Used in Image Steganalysis
Open Access
10.4236/jis.2017.83013
Crossref: 14
Contemporary stegnalysis schemes for reliable detection of steganography
Showing 1 to 8 of 15 publications