Asharindavida, Fayas
7  Ergebnisse:
Personensuche X
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1

Compact, Optimized, and Effective: The CNNSpectra Approach ..:

, In: 2024 4th International Conference on Neural Networks, Information and Communication (NNICE),
Asharindavida, Fayas ; Liu, Jun ; Uhomoibhi, James. - p. 1624-1629 , 2024
 
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2

A new sub-class linear discriminant for miniature spectrome..:

Nibouche, Omar ; Asharindavida, Fayas ; Wang, Hui...
Chemometrics and Intelligent Laboratory Systems.  250 (2024)  - p. 105136 , 2024
 
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3

Miniature spectrometer data analytics for food fraud:

Asharindavida, Fayas ; Nibouche, Omar ; Uhomoibhi, James...
Journal of Consumer Protection and Food Safety.  18 (2023)  4 - p. 415-431 , 2023
 
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4

Machine Learning on Spectral Data from Miniature Devices fo..:

, In: Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing,
 
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5

A forecasting tool for prediction of epileptic seizures usi..:

Asharindavida, Fayas ; Shamim Hossain, M. ; Thacham, Azeemsha...
Concurrency and Computation: Practice and Experience.  32 (2018)  1 - p. , 2018
 
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6

Machine learning on spectral data from miniature devices fo..:

Asharindavida, Fayas ; Nibouche, Omar ; Uhomoibhi, James..
Asharindavida , F , Nibouche , O , Uhomoibhi , J , Liu , J & Wang , H 2023 , Machine learning on spectral data from miniature devices for food quality analysis - a case study . in ICMLSC '23: Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing . The International Conference on Machine Learning and Soft Computing (ICMLSC): Proceedings , Association for Computing Machinery , pp. 89–95 , ICMLSC 2023: The 7th International Conference on Machine Learning and Soft Computing , Chongqing , China , 05/01/2023 . https://doi.org/10.1145/3583788.3583801.  , 2023
 
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7

Miniature spectrometer data analytics for food fraud:

Asharindavida, Fayas ; Nibouche, Omar ; Uhomoibhi, James...
Asharindavida , F , Nibouche , O , Uhomoibhi , J , Liu , J , Vincent , J & Wang , H 2023 , ' Miniature spectrometer data analytics for food fraud ' , Journal of Consumer Protection and Food Safety , vol. 18 , pp. 415–431 . https://doi.org/10.1007/s00003-023-01439-8.  , 2023
 
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