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Acceptance modeling of M_Learning and prioritization of accepted M_Learning requirements.

By: Kumar, Amit

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2015Description: viii, 49pGenre/Form: Thesis or Dissertation DDC classification: 004 Dissertation note: Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2015 Guide / Supervisor: Dutta, Kamlesh.

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Computer Science and Engineering (Departmental Library) On Display	004 KUM (Browse shelf)	Available		CS-DR-233
Thesis or Dissertation	Computer Science and Engineering (Departmental Library) On Display	004 KUM (Browse shelf)	Available		CS-DR-234

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Previous	004 KUM Depth search based node coloring scheme : to minimize TDMA scheduling cycle in wireless sensor network.	004 KUM Depth search based node coloring scheme : to minimize TDMA scheduling cycle in wireless sensor network.	004 KUM Acceptance modeling of M_Learning and prioritization of accepted M_Learning requirements.	004 KUM Acceptance modeling of M_Learning and prioritization of accepted M_Learning requirements.	004 KUM Heterogeneous computing with GPGPU for time complexity reduction in DALI structure alignment.	004 KUM Distributed clustering protocol for wireless sensor network.	004 KUM Energy aware recovery from network partitioning in wireless sensor networks .	Next

Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2015

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Acceptance modeling of M_Learning and prioritization of accepted M_Learning requirements.

By: Kumar, Amit

Browsing Computer Science and Engineering (Departmental Library) shelves, Shelving location: On Display Close shelf browser