Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mohd Razif Shamsuddin"'
Publikováno v:
2022 3rd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Publikováno v:
2022 3rd International Conference on Artificial Intelligence and Data Sciences (AiDAS).
Autor:
Mastura Hanafiah, Mohd Azraei Adnan, Shuzlina Abdul-Rahman, Sofianita Mutalib, Ariff Md Ab Malik, Mohd Razif Shamsuddin
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1019:012021
This study investigates the suitable model for flower recognition based on deep Convolutional Neural Networks (CNN) with transfer learning approach. The dataset used in the study is a benchmark dataset from Kaggle. The performance of CNN for plant id
Autor:
Sofianita Mutalib, Nur Hanani Hasbullah, Shuzlina Abdul-Rahman, Mohd Razif Shamsuddin, Ariff Md Ab Malik
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1019:012026
Plants are essential in the Earth, as it supplies the oxygen needed by human beings and animals, and becomes the source of foods and medical treatments. Many medicinal plants can treat diseases and it is also called herbal plants. Traditionally, thes
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 769:012071
This research is a part of a major research on automation of malware identification using Deep Denoising Autoencoders. Malicious software, or in short called malware refers to any software designed to cause damage to a single computer, server, or com
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 769:012035
This paper explores the capabilities of a graph optimization-based Simultaneous Localization and Mapping (SLAM) algorithm known as Cartographer in a simulated environment. SLAM refers to the problem in which an agent attempts to determine its locatio
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811334405
This paper is an investigation about the MNIST dataset, which is a subset of the NIST data pool. The MNIST dataset contains handwritten digit images that is derived from a larger collection of NIST data which contains handwritten digits. All the imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6caba977481c18967dd23e3f9e5a6d
https://doi.org/10.1007/978-981-13-3441-2_11
https://doi.org/10.1007/978-981-13-3441-2_11
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811072413
Driving is one of the common activities in people’s everyday life and therefore improving driving skill to reduce car crashes is an important issue. Even though a lot of studies and work has been done on road and vehicle designs to improve driver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85c0e359943ab1f911b2815541f32507
https://doi.org/10.1007/978-981-10-7242-0_10
https://doi.org/10.1007/978-981-10-7242-0_10
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811027765
SCDS
SCDS
This paper describes the performance of a shallow network towards increasing complexity of dimension in an image input representation. This paper will highlight the generalization problem in Shallow Neural Network despite its extensive usage. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30f2e603d9ecc7c877a74b32626c7ec
https://doi.org/10.1007/978-981-10-2777-2_1
https://doi.org/10.1007/978-981-10-2777-2_1
Autor:
Mohd Razif Shamsuddin, Azlinah Mohamed
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642050350
IVIC
IVIC
This paper covers the area of baseline identification, which leads to signature recognition. It addresses the usage of a proposed algorithm, which identifies the minima points of a signature to be applied in signature baseline recognition. Signature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29656687983008fe95b214574251608f
https://doi.org/10.1007/978-3-642-05036-7_69
https://doi.org/10.1007/978-3-642-05036-7_69