Peetala Appala Naidu
VIDWAN ID: 195870

Dr Peetala Appala Naidu

Male Doctor of Philosophy
Professor | Department of Computer Science and Engineering
Sri Indu College of Engineering & Technology
Telangana
Expertise: Computer Science Software Engineering
8 Publications
0 Projects
66 Scopus Citations
110 CrossRef
18 Years 4 Months Total Experience
Publications
8 Total
Articles
5
Chapters
2
Proceedings
1
Activity

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Scopus Scopus
66 Citations
3 h-index
CrossRef CrossRef
110 Citations
4 h-index
Google Scholar Google Scholar

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Professional Recognition

Train the Trainer
2016
SAP-IPA
NPTEL-Elite
2019
Swayam NPTEL

Community & Membership

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ISTE
Lifetime
Jan 2018
CSI
Lifetime
Jan 2017
IAENG
Lifetime
Jan 2016

Personal Details

Doctor of Philosophy
2018
N/A
Professor
Jun 2012 – Present
Sri Indu College of Engineering & Technology | Department of Computer Science and Engineering
Assistant Professor
May 2008 – May 2012
Malla Reddy (MR) Deemed to be University
Engineering and Technology
Computer Science Software Engineering

Related Profiles

Scholarly Work

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METHOD OF LOAD DISTRIBUTION BALANCING FOR FOG CLOUDCOMPUTING IN IOT ENVIRONMENT

Sri Indu College of Engineering & Technology
- Application No. : 201941044511 Filed : 03-11-2019
Published : 29-11-2019 Published

Scholarly Publications

An intelligent wearable embedded architecture for stress detection and psychological behavior monitoring using heart rate variability

Journal Article
Journal of Intelligent and Fuzzy Systems. Year: 2023. Volume: 45 , Issue: 5 , Pages: 8203-8216 .
Authors: Patnala S.R. Chandra Murty; Chinta Anuradha; P. Appala Naidu; C. Balaswamy; Rajeswaran Nagalingam; Senthil Kumar Jagatheesaperumal; Muruganantham Ponnusamy

A mass correlation based deep learning approach using deep Convolutional neural network to classify the brain tumor

Journal Article
Biomedical Signal Processing and Control. Year: 2023. Volume: 81 .
Authors: Gandi Satyanarayana; P. Appala Naidu; Venkata Subbaiah Desanamukula; Kadupukotla Satish kumar; B. Chinna Rao

Performance validation of wind turbines using machine learning methodologies

Journal Article
Materials Today: Proceedings. Year: 2023. Volume: 80 , Pages: 2845-2849 .
Authors: Bosubabu Sambana; P. Appala Naidu; Ranga Jarabala; V.N.S.L. Narayana

Integrative hybrid deep learning for enhanced breast cancer diagnosis: leveraging the Wisconsin Breast Cancer Database and the CBIS-DDSM dataset

Open Access
Journal Article
Scientific Reports. Year: 2024. Volume: 14 , Issue: 1 , Pages: 26287 .
Authors: Murty, P.S.R.C.; Anuradha, C.; Naidu, P.A.; Mandru, D.; Ashok, M.; Atheeswaran, A.; Rajeswaran, N.; Saravanan, V.

Fake News Detection and Analysis Using Online Machine Learning Techniques

Book Chapter
Year: 2023. Pages: 47-55 .
Authors: Manohar, P.M.; Appala Naidu, P.; Chandra Sekhar, A.V.N.; Venkata Reddy, B.S.

Precision agriculture technologies for smart farming

Book Chapter
Year: 2023.
Authors: Yadav, K.D.K.; Naidu, P.A.; Manohar, P.M.

An efficient fuzzy model-based intrusion detection system for secured IOT network

Journal Article
Soft Computing. Year: 2023. Volume: 28 , Issue: S2 , Pages: 663-663 .
Authors: A. Srisaila; D. Rajani; M. V. D. N. S. Madhavi; P. Appala Naidu; K. Amarendra

Sentiment Analysis By Using Modified RNN And A Tree LSTM

Conference Paper
Year: 2022. Pages: 6-10 .
Authors: Naidu, P.A.; Yadav, K.D.K.; Meena, B.; Meesala, Y.V.N.