المؤلفون: Mazni, Mazleenda, Husain, Abdul Rashid, Shapiai, Mohd Ibrahim, Ibrahim, Izni Syahrizal, Zulkifli, Riyadh, Anggara, Devi Willieam

المصدر: Applications of Modelling and Simulation; Vol 8 (2024); 1-25 ; 2600-8084

مصطلحات موضوعية: Convolution neural network, Crack classification, Crack detection, Crack segmentation, Deep learning, Review, Structural health monitoring

وصف الملف: application/pdf

العلاقة: http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/547/172Test; http://arqiipubl.com/ojs/index.php/AMS_Journal/article/downloadSuppFile/547/61Test; http://arqiipubl.com/ojs/index.php/AMS_Journal/article/downloadSuppFile/547/62Test; http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/547Test

الإتاحة: http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/547Test

المؤلفون: Mazni, Mazleenda, Husain, Abdul Rashid, Shapiai, Mohd Ibrahim, Ibrahim, Izni Syahrizal, Anggara, Devi Willieam, Zulkifli, Riyadh

المصدر: Alexandria Engineering Journal ; volume 92, page 310-320 ; ISSN 1110-0168

مصطلحات موضوعية: General Engineering

الإتاحة: https://doi.org/10.1016/j.aej.2024.02.052Test
https://api.elsevier.com/content/article/PII:S1110016824001923?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S1110016824001923?httpAccept=text/plainTest

المؤلفون: Nasien, Dewi, Adiya, M. Hasmil, Rahayu, Yusnita, Dahliyusmanto, Dahliyusmanto, Erlin, Erlin, Anggara, Devi Willieam

المصدر: Journal of Applied Engineering and Technological Science (JAETS); Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS); 542-556 ; 2715-6079 ; 2715-6087 ; 10.37385/jaets.v5i1

مصطلحات موضوعية: ANN-SVM, PCA, Pelvic, Femur, Gender_Determination

وصف الملف: application/pdf

العلاقة: https://journal.yrpipku.com/index.php/jaets/article/view/1839/2134Test; https://journal.yrpipku.com/index.php/jaets/article/view/1839Test

الإتاحة: https://doi.org/10.37385/jaets.v5i1.1839Test
https://doi.org/10.37385/jaets.v5i1Test
https://journal.yrpipku.com/index.php/jaets/article/view/1839Test

المؤلفون: Mazni, Mazleenda, Husain, Abdul Rashid, Shapiai, Mohd Ibrahim, Ibrahim, Izni Syahrizal, Zulkifli, Riyadh, Anggara, Devi Willieam

المصدر: Communications in Computer and Information Science ; Methods and Applications for Modeling and Simulation of Complex Systems ; page 319-328 ; ISSN 1865-0929 1865-0937 ; ISBN 9789819972395 9789819972401

الإتاحة: https://doi.org/10.1007/978-981-99-7240-1_25Test

المؤلفون: Anggara, Devi Willieam, Mohd. Rahim, Mohd. Shafry, Ismail, Ajune Wanis, Wong, Seng Yue, Fairos Ismail, Nor Anita, Machfiroh, Runik, Arif Budiman, Arif Budiman, Aris Rahmansyah, Aris Rahmansyah, Dahliyusmanto, Dahliyusmanto

مصطلحات موضوعية: QA75 Electronic computers. Computer science

وصف الملف: application/pdf

العلاقة: http://eprints.utm.my/103345/1/MohdShafryMohd2022_IntegratedColormapandORBdetector.pdfTest; Anggara, Devi Willieam and Mohd. Rahim, Mohd. Shafry and Ismail, Ajune Wanis and Wong, Seng Yue and Fairos Ismail, Nor Anita and Machfiroh, Runik and Arif Budiman, Arif Budiman and Aris Rahmansyah, Aris Rahmansyah and Dahliyusmanto, Dahliyusmanto (2022) Integrated Colormap and ORB detector method for feature extraction approach in augmented reality. Multimedia Tools and Applications, 81 (NA). pp. 35713-35729. ISSN 1380-7501

الإتاحة: https://doi.org/10.1007/s11042-022-13548-xTest
http://eprints.utm.my/103345Test/
http://eprints.utm.my/103345/1/MohdShafryMohd2022_IntegratedColormapandORBdetector.pdfTest

المؤلفون: Dahliyusmanto, Dahliyusmanto, Anggara, Devi Willieam, Mohd. Rahim, Mohd. Shafry, Ismail, Ajune Wanis

مصطلحات موضوعية: QA75 Electronic computers. Computer science

وصف الملف: application/pdf

العلاقة: http://eprints.utm.my/95006/1/AjuneWanis2021_TheComparisonofGrayscaleImageEnhancement.pdfTest; Dahliyusmanto, Dahliyusmanto and Anggara, Devi Willieam and Mohd. Rahim, Mohd. Shafry and Ismail, Ajune Wanis (2021) The comparison of grayscale image enhancement techniques for improving the quality of marker in augmented reality. International Journal on Advanced Science, Engineering and Information Technology, 11 (5). pp. 2104-2111. ISSN 2088-5334

الإتاحة: https://doi.org/10.18517/IJASEIT.11.5.10990Test
http://eprints.utm.my/95006Test/
http://eprints.utm.my/95006/1/AjuneWanis2021_TheComparisonofGrayscaleImageEnhancement.pdfTest