rrmdigi

Institut for Digitalisering

  • Center for Business Data Analytics
Raghava Rao
Mukkamala
Lektor
,
PhD


Kontor: HOW/60-2.sal
Mobil:
41852299
E-mail: rrm.digi@cbs.dk
Skype:
raomukkamala
Præsentation

For more information, please visit the english version of this site (For mere information, se venligst den engelske side)

Sociale medier
Links
Link til denne hjemmeside
www.cbs.dk/staff/rrmdigi
Publikationer sorteret efter:
2023
Malte Bieler; Raghava Rao Mukkamala; Tor-Morten Grønli / A Context- and Trajectory-based Destination Prediction of Public Transportation Users
I: IEEE Intelligent Transportation Systems Magazine, Vol. 15, Nr. 1, 1.2023, s. 300-317
Tidsskriftartikel > peer review
Sippo Rossi; Youngjin Kwon; Odd Harald Auglend; Raghava Rao Mukkamala; Matti Rossi; Jason Bennett Thatcher / Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?
I: Proceedings of the 56th Hawaii International Conference on System Sciences. red. /Tung X. Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2023, s. 134-143 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Raghava Rao Mukkamala; Robert J. Kauffman; Helle Zinner Henriksen / Champions for Social Good : How Can We Discover Social Sentiment and Attitude-driven Patterns in Prosocial Communication?.
I: Journal of the Association for Information Systems, 16.2.2023
Tidsskriftartikel > peer review
Rickard Sandberg; Raghava Rao Mukkamala; Anil Agarwal; Ivar Aune; Magnus Carlsson; Samay Mir; Roosa Säntti; Thomas Scahn; Caroline Wilhelmsen / The Future of Data : How Nordic Companies Scale and Transform with Data and AI.
Maharashtra : Knowledge House Publishing 2023, 230 s.
Bog
2022
Deepraj Chowdhury; Anik Das; Ajoy Dey; Shreya Sarkar; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala; Lakhindar Murmu / ABCanDroid : A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning .
I: Sensors, Vol. 22, Nr. 3, 2.2022
Tidsskriftartikel > peer review
Tim Schurig; Sine Zambach; Raghava Rao Mukkamala; Malte Petry / Aspect-based Sentiment Analysis for University Teaching Analytics
I: Proceedings of the 30th European Conference on Information Systems (ECIS)Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2022 (Proceedings of the European Conference on Information Systems)
Konferencebidrag i proceedings > peer review
Deepraj Chowdhury; Rupanjan Das; Risav Rana; Ashutosh Dhar Dwivedi; Pushpita Chatterjee; Raghava Rao Mukkamala / Autodeepslice : A Data Driven Network Slicing Technique of 5G Network using Automatic Deep Learning.
I: 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - ProceedingsLos Alamitos, CA : IEEE 2022, s. 450-454
Konferencebidrag i proceedings > peer review
Günter Prockl; Dominik Roeck; Thomas Jensen; Somnath Mazumdar; Raghava Rao Mukkamala / Beyond Task-technology Fit : Exploring Network Value of Blockchain Technology Based on Two Supply Chain Cases.
I: Proceedings of the 55th Hawaii International Conference on System Sciences. red. /Tung Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2022, s. 5040-5049 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Abhimanyu Bhowmik; Madhushree Sannigrahi; Deepraj Chowdhury; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala / DBNex : Deep Belief Network and Explainable AI based Financial Fraud Detection.
I: Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 . red. /Shusaku Tsumoto; Yukio Ohsawa; Lei Chen; Dirk Van den Poel; Xiaohua Hu; Yoichi Motomura; Takuya Takagi; Lingfei Wu; Ying Xie; Akihiro Abe; Vijay Raghavan. Los Alamitos, CA : IEEE 2022, s. 3033-3042
Konferencebidrag i proceedings > peer review
Ashutosh Dhar Dwivedi; Rajani Singh; Uttam Ghosh; Raghava Rao Mukkamala; Amr Tolba; Omar Said / Privacy Preserving Authentication System based on Non-interactive Zero Knowledge Proof Suitable for Internet of Things
I: Journal of Ambient Intelligence and Humanized Computing, Vol. 13, Nr. 10, 10.2022, s. 4639-4649
Tidsskriftartikel > peer review
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