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R S M Lakshmi Patibandla
R S M Lakshmi Patibandla
Assistant Professor,Department of CSE(Honors), KLEF Deemed to be University
Email confirmado em kluniversity.in
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Citado por
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Ano
Survey on clustering algorithms for unstructured data
RSML Patibandla, N Veeranjaneyulu
Intelligent engineering informatics: proceedings of the 6th international …, 2018
432018
Performance analysis of partition and evolutionary clustering methods on various cluster validation criteria
RSML Patibandla, N Veeranjaneyulu
Arabian Journal for Science and Engineering 43 (8), 4379-4390, 2018
352018
Recommender system with machine learning and artificial intelligence: practical tools and applications in medical, agricultural and other industries
SN Mohanty, JM Chatterjee, S Jain, AA Elngar, P Gupta
John Wiley & Sons, 2020
342020
MEDICAL DATA CLUSTERING USING PARTICLE SWARM OPTIMIZATION METHOD
RSML Patibandla, BT Rao, PS Krishna, VR Maddumala
Journal of Critical Reviews, 2020
272020
Handbook of research on machine learning: foundations and applications
M Mangla, SK Shinde, V Mehta, N Sharma, SN Mohanty
CRC press, 2022
262022
A study on Scalability of Services and Privacy Issues in Cloud Computing
NB R S M Lakshmi,SanthiSri
ICDCIT-12, 2012
25*2012
Computational intelligence methods in COVID-19: surveillance, prevention, prediction and diagnosis
K Raza
Springer Nature, 2020
222020
A comparative study on effective approaches for unsupervised statistical machine translation
B Tarakeswara Rao, RSML Patibandla, MR Murty
Embedded Systems and Artificial Intelligence: Proceedings of ESAI 2019, Fez …, 2020
222020
Revolutionizing diabetic retinopathy diagnostics and therapy through artificial intelligence: a smart vision initiative
RSML Patibandla, BT Rao, MR Murty
Transformative Approaches to Patient Literacy and Healthcare Innovation, 136-155, 2024
212024
Advanced healthcare systems: empowering physicians with IoT-enabled technologies
R Tanwar, S Balamurugan, RK Saini, V Bharti, P Chithaluru
John Wiley & Sons, 2022
182022
Optimized Nature-Inspired Computing Algorithms for Lung Disorder Detection
V Lakshman Narayana, RSM Lakshmi Patibandla, V Pavani, P Radhika
Nature-Inspired Intelligent Computing Techniques in Bioinformatics, 103-118, 2022
172022
A SimRank based ensemble method for resolving challenges of partition clustering methods
RSM Patibandla, N Veeranjaneyulu
Journal of Scientific & Industrial Research 79 (4), 323-327, 2022
152022
Deep learning for medical applications with unique data
D Gupta, U Kose, A Khanna, VE Balas
Academic Press, 2022
152022
Embedded Systems and Artificial Intelligence: Proceedings of ESAI 2019, Fez, Morocco
V Bhateja, SC Satapathy, H Satori
Springer Nature, 2020
152020
Prediction of COVID-19 using machine learning techniques
RSML Patibandla, BT Rao, VL Narayana
Deep Learning for Medical Applications with Unique Data, 219-231, 2022
142022
DDoS Attacks, Detection Parameters and Mitigation in Cloud Environment
KSSP Lakshmi2
IJMTST 3 (1), 79-82, 2017
14*2017
Recommender systems: Algorithms and applications
PP Kumar, S Vairachilai, S Potluri, SN Mohanty
CRC press, 2021
132021
Computational intelligence approach for prediction of COVID-19 using particle swarm optimization
RSML Patibandla, VL Narayana
Computational Intelligence Methods in COVID-19: Surveillance, Prevention …, 2021
132021
IDENTIFICATION OF LUNG CANCER STAGES USING EFFICIENT MACHINE LEARNING FRAMEWORK
PS Krishna, UJ Reddy, RSML Patibandla, S Reshmi
Journal of Critical Reviews 7 (6), 2020, 2020
132020
Significance of blockchain technologies in industry
RSML Patibandla, LN Vejendla
Blockchain Security in Cloud Computing, 19-31, 2022
122022
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