Deep learning optimisation algorithms for snatch theft detection / Nurul Farhana Mohamad Zamri ...[et al.]
Learning algorithms related to deep learning use bells and whistles, called hyperparameters. Hence, this study conducted numerical analysis, specifically backpropagation gradients and gradient-based optimization for snatch-theft detection. Here, snatch theft images and augmented images were used to...
Furkejuvvon:
Váldodahkkit: | Mohamad Zamri, Nurul Farhana (Dahkki), Md Tahir, Nooritawati (Dahkki), Megat Ali, Megat Syahirul Amin (Dahkki), Khirul Ashar, Nur Dalila (Dahkki) |
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Materiálatiipa: | Girji |
Almmustuhtton: |
UiTM Press,
2022-04.
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Fáttát: | |
Liŋkkat: | Link Metadata |
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Optimising sintering parameters on the characteristic of injection moulded 316L stainless steel utilising water soluble system / Nurul Farhana Omar ... [et al.]
Dahkki: Omar, Nurul Farhana, et al.
Almmustuhtton: (2019) -
Adequacy of Safe City Programme in preventing snatch theft under the Penal Code (revised 1997) in Malaysia: with special reference to the legal position in the United Kingdom / Nurul Shuhada Suhaimi ... [et al.]
Dahkki: Suhaimi, Nurul Shuhada, et al.
Almmustuhtton: (2014) -
High-raised buildings in urban area contributes to the snatch theft incidents / Anith Nabilah Mustafa and Siti Rasidah Md Sakip
Dahkki: Anith Nabilah, Mustafa, et al.
Almmustuhtton: (2017) -
Characterization of root diameter-water stress behaviour in epiphytes using dendrometer / Mohd Khairi Nordin ...[et al.]
Dahkki: Nordin, Mohd Khairi, et al.
Almmustuhtton: (2021) -
The challenges of establishing Digital Library services in an Open Distance Learning (ODL) / Zubaydah Zamri and Norazleen Mohamad Noor
Dahkki: Zamri, Zubaydah, et al.
Almmustuhtton: (2020)