Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hanif Rasyidi"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100640- (2021)
Accurate skin lesion segmentation (SLS) is an important step in computer-aided diagnosis of melanoma. Automatic detection of skin lesions in dermoscopy images is challenging because of the presence of artifacts and as lesions can have heterogeneous t
Externí odkaz:
https://doaj.org/article/eba52d42fb1e42df955b7f0523d2a3ed
Autor:
Galih Andi Pradana, Bob Hardian, Tonny Adhi Sebastian, Hanif Rasyidi, Yulistiyan Wardhana, Gladhy Guarddin
Publikováno v:
Jurnal Ilmu Komputer dan Informasi, Vol 7, Iss 1, Pp 30-36 (2014)
In this paper, a method of location analysis for smart house is proposed. The proposed method uses projective transformation to process the input from visual sensor for determining coordinate of resident and also the entire device inside the smart ho
Externí odkaz:
https://doaj.org/article/92ece141bde84cd0aff4142b14f6a27e
Autor:
Hanif Rasyidi, Salman Khan
Publikováno v:
Neural Computing and Applications. 33:7339-7352
Historical documents suffer from a variety of degradations, making it challenging to recover the original textual content. The image binarization problem seeks to separate the original textual content from the image degradations. In this paper, we pr
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
Autor:
Rismiyati, Khadijah, Hanif Rasyidi, Sukmawati Nur Endah, Priyo Sidik Sasongko, Retno Kusumaningrum, Urratul Aqyuni
Publikováno v:
2020 4th International Conference on Informatics and Computational Sciences (ICICoS).
Sustainable waste management has become one of the great concerns in many countries to reduce the negative environmental and health impact caused by the increase of unmanaged household garbage. One of the key elements is waste recycling, that relies
Autor:
Hanif Rasyidi, Salman Khan
Publikováno v:
DICTA
This paper presents a segmentation-based binarization model to extract text information from the historical document using convolutional neural networks. The proposed method uses atrous convolution feature extraction to learn useful text pattern from
Publikováno v:
2013 International Conference on Advanced Computer Science and Information Systems (ICACSIS).
In a smart home, main access of private room is protected from unknown resident by a smart door system. The system has to understand resident's current state to produce a securing respond that fit the situation and the context. The system also has to
Autor:
Hanif Rasyidi, Tonny Adhi Sebastian, Bob Hardian, Galih Andi Pradana, Yulistiyan Wardhana, Gladhy Guarddin
Publikováno v:
Jurnal Ilmu Komputer dan Informasi. 7:30
In this paper, a method of location analysis for smart house is proposed. The proposed method uses projective transformation to process the input from visual sensor for determining coordinate of resident and also the entire device inside the smart ho