Rasmi Ranjan Khansama

201720182019202020212022202320241 2 3 6 5 5

Prof. Dr. Vadlamani RaviInstitute for Development and Research in Banking TechnologyVerified email at idrbt.ac.in
Dr. SANTANU KUMAR DASHSenior Assistant Professor, Dept. of Electronics and ElectricalVerified email at nitrkl.ac.in
Mangini Agostino MarcelloAssociate Professor -Politecnico di Bari - Dipartimento di Ingegneria Elettrica e dell'InformazioneVerified email at poliba.it
Michele RoccotelliAssistant Professor, Politecnico di BariVerified email at poliba.it
Maria Pia FantiDipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di BariVerified email at poliba.it
Dr. Sukant Kishoro BisoyC. V. Raman Global UniversityVerified email at cgu-odisha.ac.in
Prof. Nikola Kasabov, LFIEEE, FRSNZ,...Auckland University of Technology; IICT Bulgarian Academy of Sciences; knowledgeengineering.aiVerified email at aut.ac.nz
akshay raj gollahalliAuckland University of TechnologyVerified email at aut.ac.nz
Neel SenguptaSpark NZVerified email at spark.co.nz
Pradeep Kumar MallickAssociate Dean IPR & Associate Professor, School Of Computer Engineering, KIIT UniversityVerified email at kiit.ac.in
Rojalina PriyadarshiniAssociate ProfessorVerified email at cgu-odisha.ac.in
Dr. Chhabi Rani PanigrahiRama Devi Women's University, Bhubaneswar, IndiaVerified email at rdwu.ac.in
Bibudhendu PatiHead of the Department, Department of Computer Science, Rama Devi Women' University, BhubaneswarVerified email at iitkgp.ac.in

Government degree college (A), Tuni

Verified email at gdctuni.edu.in


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Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method SK Dash, M Roccotelli, RR Khansama, MP Fanti, AM Mangini Applied Sciences 11 (18), 8612, 2021	12	2021
Prediction intervals via support vector-quantile regression random forest hybrid V Ravi, V Tejasviram, A Sharma, RR Khansama Proceedings of the 10th Annual ACM India Compute Conference, 109-113, 2017	4	2017
Stock market movement prediction using evolving spiking neural networks R Khansama, V Ravi, N Sengupta, AR Gollahalli, N Kasabov, ... IEEE TNNLS, submitted, 2017	4	2017
A hybrid face recognition scheme in a heterogenous and cluttered environment RR Khansama, R Priyadarshini, SK Bisoyi, PK Mallick, RK Barik Cognitive Informatics and Soft Computing: Proceeding of CISC 2020, 1-13, 2021	2	2021
Role of Machine Learning Approaches in Predicting COVID-19 New Active Cases Using Multiple Models RK Sinha, SK Bisoy, B Pati, RR Khansama, CR Panigrahi, S Kumar Proceedings of the 6th International Conference on Advance Computing and …, 2022		2022
Fake News Detection Using Lightweight Machine Learning Models S Mishra, M Srivastava, M Raj, SK Bisoy, RR Khansama Advances in Intelligent Computing and Communication: Proceedings of ICAC …, 2022		2022
Technical Paper Reviewers P Kabisatpathy, BK Misra, S Anitha, A Misra, AB Sammadar, AK Saraf, ...

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