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P. V. Bhaskar Reddy 0001

P. Vijay Bhaskar Reddy – Palagiri Vijaya Bhaskar Reddy

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affiliation: REVA University, School of Computer Science and Engineering, Bangalore, India

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Journal Articles

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2023
[j5]
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  - journals/bspc/KanchanamalaAR23
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  - https://dblp.org/rec/journals/bspc/KanchanamalaAR23
Pendela Kanchanamala, A. Suja Alphonse, P. V. Bhaskar Reddy:
Heart disease prediction using hybrid optimization enabled deep learning network with spark architecture. Biomed. Signal Process. Control. 84: 104707 (2023)
[j4]
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  - journals/concurrency/KanchanamalaKR23
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Pendela Kanchanamala, Ramesh Karnati, Palagiri Vijaya Bhaskar Reddy:
Hybrid optimization enabled deep learning and spark architecture using big data analytics for stock market forecasting. Concurr. Comput. Pract. Exp. 35(8) (2023)
[j3]
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  - journals/kbs/Chaitra023
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B. Chaitra, P. V. Bhaskar Reddy:
An approach for copy-move image multiple forgery detection based on an optimized pre-trained deep learning model. Knowl. Based Syst. 269: 110508 (2023)
2022
[j2]
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  - journals/ci/MariappanSRM22
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Geetha Mariappan, Aravapalli Rama Satish, P. V. Bhaskar Reddy, Balajee Maram:
Adaptive partitioning-based copy-move image forgery detection using optimal enabled deep neuro-fuzzy network. Comput. Intell. 38(2): 586-609 (2022)
[j1]
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Ramkumar M. P., P. V. Bhaskar Reddy, J. T. Thirukrishna, Ch. Vidyadhari:
Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture. Comput. Secur. 116: 102668 (2022)

Conference and Workshop Papers

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2019
[c2]
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B. Chaitra, P. V. Bhaskar Reddy:
A Study on Digital Image Forgery Techniques and its Detection. IC3I 2019: 127-130
2016
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  - conf/ficta/ApoorvaER16
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M. Apoorva, Rajesh Eswarawaka, P. Vijay Bhaskar Reddy:
A Latest Comprehensive Study on Structured Threat Information Expression (STIX) and Trusted Automated Exchange of Indicator Information (TAXII). FICTA (2) 2016: 477-482

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