Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Jules-Raymond Tapamo"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-24 (2023)
Abstract Classification and analysis of high-resolution satellite images using conventional techniques have been limited. This is due to the complex characteristics of the imagery. These images are characterized by features such as spectral signature
Externí odkaz:
https://doaj.org/article/1c93cc93ed7049b0b14c8b122b4e33c9
A Survey of Vision-Based Methods for Surface Defects’ Detection and Classification in Steel Products
Publikováno v:
Informatics, Vol 11, Iss 2, p 25 (2024)
In the competitive landscape of steel-strip production, ensuring the high quality of steel surfaces is paramount. Traditionally, human visual inspection has been the primary method for detecting defects, but it suffers from limitations such as reliab
Externí odkaz:
https://doaj.org/article/2f8125b858524370ab2bf41333049232
Publikováno v:
PeerJ Computer Science, Vol 9, p e1388 (2023)
An important task in automatic facial expression recognition (FER) is to describe facial image features effectively and efficiently. Facial expression descriptors must be robust to variable scales, illumination changes, face view, and noise. This art
Externí odkaz:
https://doaj.org/article/53f3c3d0cbea4b208604d4d82b2e151a
Publikováno v:
PeerJ Computer Science, Vol 8, p e1064 (2022)
This article presents a semi-automatic algorithm that can detect pedestrians from the background in thermal infrared images. The proposed method is based on the powerful Graph Cut optimisation algorithm which produces exact solutions for binary label
Externí odkaz:
https://doaj.org/article/2defb0ef00304106b00b457ee6164e98
Publikováno v:
Energies, Vol 16, Iss 15, p 5629 (2023)
Neural network approaches have commonly been used to solve complex mathematical equations in the literature. They have inspired the modifications of state controllers and are often implemented for electrical drives with an elastic connection. Given t
Externí odkaz:
https://doaj.org/article/a963611dee8547a492cbf12cc4619700
Publikováno v:
IEEE Access, Vol 9, Pp 52125-52143 (2021)
Real-world datasets, particularly Electronic Health Records, are routinely found to be mixed (comprised of both categorical and continuous variables) and/or missing in nature. Such datasets present peculiar challenges related both to their clustering
Externí odkaz:
https://doaj.org/article/2f733cdb3c9e4e0da16a476f194a88f6
Publikováno v:
IEEE Access, Vol 8, Pp 55592-55601 (2020)
Datasets are crucial when training a deep neural network. When datasets are unrepresentative, trained models are prone to bias because they are unable to generalise to real world settings. This is particularly problematic for models trained in specif
Externí odkaz:
https://doaj.org/article/52d34f9022a04a869dfbe60cde0758d9
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12156 (2022)
Facial Expression Recognition (FER) is a growing area of research due to its numerous applications in market research, video gaming, healthcare, security, e-learning, and robotics. One of the most common frameworks for recognizing facial expressions
Externí odkaz:
https://doaj.org/article/c7c8e3c3a1624f4c89187a5ea7d02777
Autor:
Festus Osayamwen, Jules-Raymond Tapamo
Publikováno v:
IEEE Access, Vol 7, Pp 14747-14756 (2019)
Convolutional neural network (CNN) depicts the transformation of the input image through a series of convolutions and other non-linear phases for recognition and classification purposes. This method has gained popularity for its significant contribut
Externí odkaz:
https://doaj.org/article/1d2773fc34a84ec8bb34899c2bc48283
Publikováno v:
Energies, Vol 15, Iss 17, p 6265 (2022)
In this paper, a hybrid PI radial basis function neural network (RBFNN) controller is used for a plant with significant disturbances related to the mechanical part of the construction. It is represented through a two-mass system. State variables cont
Externí odkaz:
https://doaj.org/article/f592c8ada9d94249aec71ffa3f494998