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Bonthala Prabhanjan Yadav

Observed names: B. Prabhanjan Yadav, Bonthala Prabanjan Yadav
ORCID: 0000-0002-6421-2729
Observed ORCID: 0000-0002-6421-2729
OpenAlex ID: A5025003255
Text categorization Performance examination Using Machine Learning Algorithms
2020 · Bonthala Prabhanjan Yadav, Sukhaveerji Ghate, et al. · IOP Conference Series Materials Science and Engineering · 103
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IoT Based Solar Power Monitoring System
2020 · Maisagalla Gopal, T Chandra Prakash, et al. · IOP Conference Series Materials Science and Engineering · 100
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Women Wellbeing Assessment in Indian Metropolises Using Machine Learning models
2020 · Bonthala Prabhanjan Yadav, M. Sheshikala, et al. · IOP Conference Series Materials Science and Engineering · 92
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A Coherent and Privacy-Protecting Biometric Authentication Strategy in Cloud Computing
2020 · Bonthala Prabhanjan Yadav, Ch. Shiva Sai Prasad, et al. · IOP Conference Series Materials Science and Engineering · 66
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Portable manure dispenser machine
2020 · Seena Naik Korra, E Sudarshan, et al. · IOP Conference Series Materials Science and Engineering · 66
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Average Response Time (ART):Real-Time Traffic Management in VFC Enabled Smart Cities
2020 · Shabana, Sallauddin Mohmmad, et al. · IOP Conference Series Materials Science and Engineering · 59
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Real Time Fitness Analysis of Bitumen Road and Vehicle through Their Acoustic Signals
2020 · S Venkatesulu, E Sudarshan, et al. · IOP Conference Series Materials Science and Engineering · 59
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Machine learning intersections and challenges in deep learning
2020 · Bhavana Jamalpur, Seena Naik Korra, et al. · IOP Conference Series Materials Science and Engineering · 31
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RETRACTED: RNN based prediction of spatiotemporal data mining
2020 · Mohammed Ali Shaik, Dhanraj Verma, et al. · IOP Conference Series Materials Science and Engineering · 27
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Study of threats associated with cloud infrastructure systems
2020 · CH Shiva Sai Prasad, Bonthala Prabhanjan Yadav, et al. · IOP Conference Series Materials Science and Engineering · 27
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Digital watermarking techniques: Comparative analysis and robustness for real time applications
2022 · Eelandula Kumaraswamy, Kommabatla Mahender, et al. · AIP conference proceedings · 20
Study on patients arrival at hospital using queuing model with self-similar characteristics
2022 · Pushpalatha Sarla, A. M. Girija, et al. · AIP conference proceedings · 5
Routing and data aggregation in wireless sensor networks by using clusters
2020 · Kanegonda Ravi Chythanya, Komuravelly Sudheer Kumar, et al. · IOP Conference Series Materials Science and Engineering · 4
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Applying Machine Learning and AI to IoT Data for Robotic Intelligence
2025 · Y. Sree Vani, P. Selvakumar, et al. · IGI Global eBooks · 3
Remote Data Auditing in Multi-tenancy Cloud Storage by Using File Attribute Test Technique
2020 · Ranjith Kumar Marrikukkala, Dr. P. Praveen, et al. · IOP Conference Series Materials Science and Engineering · 3
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Deep learning for the detection and classification of brain tumors using CNN
2024 · E. Sudarshan, G. Uma Maheshwari, et al. · AIP conference proceedings · 2
IoT based indoor air quality monitoring and purification system with serial UV lights
2022 · E. Sudarshan, K. Anusha, et al. · AIP conference proceedings · 2
A research on security problems with data storage in cloud computing
2020 · Komuravelly Sudheer Kumar, Kanegonda Ravi Chythanya, et al. · IOP Conference Series Materials Science and Engineering · 2
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Adopting machine learning in blockchain to enhance communications and networking systems
2024 · Prashanth Bolukonda, Bonthala Prabhanjan Yadav, et al. · AIP conference proceedings · 1
Multiple CCTV IoT environment - object tracking
2022 · Shyamsunder Merugu, P. Ramchandar Rao, et al. · AIP conference proceedings · 1
Reducing the peak-factor signals in 5g communication systems
2022 · Kasangottu Srinivas, K. Ravi Kiran, et al. · AIP conference proceedings · 1
Survey on machine leaning based game predictions
2020 · Sallauddin Mohmmad, V. Nikhitha Madishetti, et al. · IOP Conference Series Materials Science and Engineering · 1
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Artificial Intelligence, Bioethics, and Semantic Knowledge Representation
2025 · B. Prabhanjan Yadav, P. Selvakumar, et al. · Advances in computational intelligence and robotics book series
Federated learning-enabled CNN for predicting and detecting brain tumors in healthcare 6.0
2025 · Boggarapu Srinivasulu, Srinivasa Rao Dhanikonda, et al. · CRC Press eBooks
Enlightening data mining implementations and model for predicting and analyzing students academic performance
2022 · Ravikumar Thallapalli, V. Thirupathi, et al. · AIP conference proceedings
Works count: 34
Citation count: 675
H-index: 11
I10-index: 11
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