Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Nilanjan Sinhababu"'
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Akademický článek
Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing
Autor: Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Kyung-Sup Kwak, Prasenjit Choudhury
Publikováno v: IEEE Access, Vol 9, Pp 116647-116671 (2021)
Mobile crowd computing (MCC) that utilizes public-owned (crowd’s) smart mobile devices (SMDs) collectively can give adequate computing power without any additional financial and ecological cost. However, the major challenge is to cope with the mobi
Externí odkaz: https://doaj.org/article/f4b8957374614d4889b68d1aff20a725
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2
Akademický článek
Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage
Autor: Pijush Kanti Dutta Pramanik, Nilanjan Sinhababu, Bulbul Mukherjee, Sanjeevikumar Padmanaban, Aranyak Maity, Bijoy Kumar Upadhyaya, Jens Bo Holm-Nielsen, Prasenjit Choudhury
Publikováno v: IEEE Access, Vol 7, Pp 182113-182172 (2019)
The advancement and popularity of smartphones have made it an essential and all-purpose device. But lack of advancement in battery technology has held back its optimum potential. Therefore, considering its scarcity, optimal use and efficient manageme
Externí odkaz: https://doaj.org/article/121aec12828c4404a68ad14ed73c4151
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6
Mitigating DoS attack in MANETs considering node reputation with AI
Autor: Subrata Joardar, Nilanjan Sinhababu, Soumyodeep Dey, Prasenjit Choudhury
Mobile Adhoc Network (MANET) is a decentralized and dynamically adoptable network. It is infrastructure less and hence can be used where a fixed configuration is not possible or required. MANETs have various real-life applications and hence have gain
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8876ec6c9f0bf34502266fe9b5df07b
https://doi.org/10.21203/rs.3.rs-2088146/v1
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7
Hidden features identification for designing an efficient research article recommendation system
Autor: Debasis Samanta, Nilanjan Sinhababu, Arpita Chaudhuri, Monalisa Sarma
Publikováno v: International Journal on Digital Libraries. 22:233-249
The digital repository of research articles is increasing at a rapid rate and hence searching the right paper becoming a tedious task for researchers. A research paper recommendation system is advocated to help researchers in this context. In the pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42a63dba18ec9766a4dda949e88ebbea
https://doi.org/10.1007/s00799-021-00301-2
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9
Predicting Device Availability in Mobile Crowd Computing using ConvLSTM
Autor: Pijush Kanti Dutta Pramanik, Anand Nayyar, Nilanjan Sinhababu, Prasenjit Choudhury
Publikováno v: 2021 7th International Conference on Optimization and Applications (ICOA).
The QoS of mobile crowd computing (MCC), in which the public’s smart mobile devices (SMDs) are used for job execution, hampers due to users’ mobility. In this paper, we propose a model to predict SMDs’ availability in a campus-based MCC, where,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63cc8830ef74215386dc714c0033a6d5
https://doi.org/10.1109/icoa51614.2021.9442629
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10
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data
Autor: Nilanjan Sinhababu, Ananya Samanta, Debasis Samanta
Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing techniq
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1723c55a9f801eca870556f82b9be4
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