Nanda, Rohan
49  Ergebnisse:
Personensuche X
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4

The shift of DarkNet illegal drug trade preferences in cryp..:

Bahamazava, Katsiaryna ; Nanda, Rohan
Forensic Science International: Digital Investigation.  40 (2022)  - p. 301377 , 2022
 
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7

Relating Legal Entities via Open Information Extraction:

, In: Metadata and Semantic Research; Communications in Computer and Information Science,
 
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9

A unifying similarity measure for automated identification ..:

, In: Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law,
Nanda, Rohan ; Di Caro, Luigi ; Boella, Guido... - p. 149-158 , 2017
 
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10

BayesForSG : a bayesian model for forecasting thermal lo..:

, In: Proceedings of the 31st Annual ACM Symposium on Applied Computing,
Nanda, Rohan ; Saguna, Saguna ; Mitra, Karan. - p. 2135-2141 , 2016
 
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11

D0M-WLAN : a traffic analysis based approach for detecti..:

, In: Proceedings of the 6th International Conference on Security of Information and Networks,
Nanda, Rohan ; Krishna, P. Venkata - p. 421-424 , 2013
 
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13

A machine learning approach to detecting fraudulent job typ..:

Naudé, Marcel ; Adebayo, Kolawole John ; Nanda, Rohan
Naudé , M , Adebayo , K J & Nanda , R 2022 , ' A machine learning approach to detecting fraudulent job types ' , AI and Society , pp. 1-12 . https://doi.org/10.1007/s00146-022-01469-0.  , 2022
 
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14

The shift of DarkNet illegal drug trade preferences in cryp..:

Bahamazava, Katsiaryna ; Nanda, Rohan
Bahamazava , K & Nanda , R 2022 , ' The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence ' , Forensic Science International: Digital Investigation , vol. 40 , 301377 , pp. 1-9 . https://doi.org/10.1016/j.fsidi.2022.301377.  , 2022
 
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15

A Context-Aware Approach for Extracting Hard and Soft Skill:

Wings, Ivo ; Nanda, Rohan ; Adebayo, K.J
Wings , I , Nanda , R & Adebayo , K J 2021 , ' A Context-Aware Approach for Extracting Hard and Soft Skills ' , Procedia Computer Science , vol. 193 , pp. 163-172 . https://doi.org/10.1016/j.procs.2021.10.016.  , 2021
 
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