Výsledky vyhledávání - "Rosniza Roslan"

Evaluation of Pooling Layers in Convolutional Neural Network for Script Recognition

Autor: Zainura Idrus, Dino Isa, Rosniza Roslan, Zolidah Kasiran, Zaidah Ibrahim

Publikováno v: Communications in Computer and Information Science ISBN: 9789811503986
SCDS

This paper investigates the suitable position and number of pooling layers in Convolutional Neural Network (CNN) for script recognition from scene images. A common practice of CNN for object recognition is to position a convolve layer alternately wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5de66b3383dfc768046b9b08762d5b3
https://doi.org/10.1007/978-981-15-0399-3_10

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Evaluation of psoriasis skin disease classification using convolutional neural network

Autor: Nurbaity Sabri, Iman Najwa Mohd Razly, Zaidah Ibrahim, Rosniza Roslan

Publikováno v: IAES International Journal of Artificial Intelligence (IJ-AI). 9:349

Skin disease has lower impact on mortality compared to others but instead it has greater effect on quality of life because it involves symptoms such as pain, stinging and itchiness. Psoriasis is one of the ordinary skin diseases which are relapsing,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::962145ab776029e4bb654467b5a92415
https://doi.org/10.11591/ijai.v9.i2.pp349-355

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Comparing statistical classifiers for emotion classification

Autor: Nurbaity Sabri, Nur Nabilah Abu Mangshor, Rosniza Roslan, Nursuriati Jamil, Khyrina Airin Fariza Abu Samah, Raseeda Hamzah

Publikováno v: 2017 7th IEEE International Conference on System Engineering and Technology (ICSET).

Speech emotion recognition has been widely used in human computer interaction and applications. This paper has classified emotion into two classes: happy and angry. All the speech signal is preprocessed from Malay spoken speech database. Emotional in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f675b144c843cb8e58cc239ed9e164ca
https://doi.org/10.1109/icsengt.2017.8123443

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Color-based bird image classification using Support Vector Machine

Autor: Nursuriati Jamil, Nur Amalina Nazery, Raseeda Hamzah, Rosniza Roslan

Publikováno v: GCCE

The classification and identification of the bird species from the visual image is complex compared by using audio song. The knowledge of the features species type is very important as to ensure it is classified to the correct species. Color-based fe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf56a96cf68bb7f5eedbfcf284e123d5
https://doi.org/10.1109/gcce.2017.8229492

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Brute force algorithm implementation for traveljoy travelling recommendation system

Autor: A.A.M. Asri, Nur Nabilah Abu Mangshor, Rosniza Roslan, Khyrina Airin Fariza Abu Samah, Nurbaity Sabri, Raseeda Hamzah

Publikováno v: Indonesian Journal of Electrical Engineering and Computer Science. 16:1042

This paper presents the Brute Force algorithm implementation for TravelJoy Travelling Recommendation System. Due to overwhelmed information in the internet, travelers faced difficulties in finding and comparing which places in Melaka that worth to vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d29d21c4ea658be3d375f3b16891e1f5
https://doi.org/10.11591/ijeecs.v16.i2.pp1042-1049

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Face and mouth localization of viseme

Autor: Noraini Seman, Nursuriati Jamil, Syafiqa Ain Alfida Abdul Rahim, Rosniza Roslan

Publikováno v: 2016 IEEE Industrial Electronics and Applications Conference (IEACon).

Face and mouth localization are the vital phase for visual speech recognition. These tasks refer to the detection of the face and mouth region within the viseme images. The main problem in face and mouth localization is the constraints on the image s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1ef0b7fe6afbffc1fc381c30fec8b98
https://doi.org/10.1109/ieacon.2016.8067385

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Development of Acoustical Feature Based Classifier Using Decision Fusion Technique for Malay Language Disfluencies Classification

Autor: Rosniza Roslan, Nursuriati Jamil, Raseeda Hamzah

Publikováno v: Indonesian Journal of Electrical Engineering and Computer Science. 8:262

Speech disfluency such as filled pause (FP) is a hindrance in Automated Speech Recognition as it degrades the accuracy performance. Previous work of FP detection and classification have fused a number of acoustical features as fusion classification i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d20feee0b04c8f3271b62dd81a0d96c5
https://doi.org/10.11591/ijeecs.v8.i1.pp262-267

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Texture feature extraction using 2-D Gabor Filters

Autor: Nursuriati Jamil, Rosniza Roslan

Publikováno v: 2012 International Symposium on Computer Applications and Industrial Electronics (ISCAIE).

Texture feature extraction is a procedure of computing and describing the features and characteristics of image which numerically describes that texture image properties. This paper investigated texture feature extraction using 2-D Gabor Filter to ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a4fa90512d2d7484dd3959ef64c4f453
https://doi.org/10.1109/iscaie.2012.6482091

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