Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Sumeth Yuenyong"'
Autor:
Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 514-523 (2024)
Background: Deep learning models for patch classification in whole-slide images (WSIs) have shown promise in assisting follicular lymphoma grading. However, these models often require pathologists to identify centroblasts and manually provide refined
Externí odkaz:
https://doaj.org/article/0c94c612c58b45a59a13709fb48791dd
Autor:
Sumeth Yuenyong, Rangsiman Soonthornchaiva, Konlakorn Wongpatikaseree, Ploi Lakanavisid, Panida Yomaboot, Somrudee Deepaisarn, Ek-uma Imkome, Angkoon Angkoonsawaengsuk, Napawan Munpansa
Publikováno v:
F1000Research, Vol 11 (2024)
Background The COVID-19 pandemic severely affected populations of all age groups. The elderly are a high-risk group and are highly vulnerable to COVID-19. Assistive software chatbots can enhance the mental health status of the elderly by providing su
Externí odkaz:
https://doaj.org/article/8e91ae94ac284b5ba21f7d01484344ce
Autor:
Sumeth Yuenyong, Paisarn Boonsakan, Supasan Sripodok, Peti Thuwajit, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Chanitra Thuwajit
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionDetection and counting of Centroblast cells (CB) in hematoxylin & eosin (H&E) stained whole slide image (WSI) is an important workflow in grading Lymphoma. Each high power field (HPF) patch of a WSI is inspected for the number of CB cells
Externí odkaz:
https://doaj.org/article/facc13b7ac3549eab0583841bfc8952c
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 44, Iss 3, Pp 852-860 (2022)
We propose TranSentCut, a sentence segmentation model for Thai based on the transformer architecture. Sentence segmentation for Thai is a problem because there is no end of sentence marker like in other languages. Existing methods make use of POS t
Externí odkaz:
https://doaj.org/article/cee8c913a69a42ebb3588b76158d7ae7
Publikováno v:
IEEE Access, Vol 10, Pp 53043-53052 (2022)
The languages spoken in Asia share common morphological analysis errors in word segmentation which normally propagate to higher-level processing, i.e., part-of-speech (POS) tagging, syntactic parsing, word extraction, and named entity recognition (NE
Externí odkaz:
https://doaj.org/article/a53e6188b8114569af6185b2d4178e27
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 136 (2022)
Due to the ubiquitous nature of CCTV cameras that record continuously, there is a large amount of video data that are unstructured. Often, when these recordings have to be reviewed, it is to look for a specific person that fits a certain description.
Externí odkaz:
https://doaj.org/article/2e8e7869b1bd474791111d0e428649ab
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 3, p 79 (2022)
Language resources are the main factor in speech-emotion-recognition (SER)-based deep learning models. Thai is a low-resource language that has a smaller data size than high-resource languages such as German. This paper describes the framework of usi
Externí odkaz:
https://doaj.org/article/0c3252fd09194bb2abd7e9c5a46761a1
Autor:
Gangyi Hu, Sumeth Yuenyong
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 40, Iss 3, Pp 522-533 (2018)
This paper presents an edge constraint adaptive filtering algorithm based on cellular neural networks for image denoising. In the process of designing the three templates separately in cellular neural networks, the control template references the a
Externí odkaz:
https://doaj.org/article/685894c7f88d4459812300185adb79e5
Autor:
Virach Sornlertlamvanich, Pawinee Iamtrakul, Teerayuth Horanont, Narit Hnoohom, Konlakorn Wongpatikaseree, Sumeth Yuenyong, Jantima Angkapanichkit, Suthasinee Piyapasuntra, Prittipoen Lopkerd, Santirak Prasertsuk, Chawee Busayarat, I-soon Raungratanaamporn, Somrudee Deepaisarn, Thatsanee Charoenporn
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683706
This research proposes an AI platform for data sharing across multiple domains. Since the data in the smart city concept are domain-specific processed, the existing smart city architecture is suffered from cross-domain data interpretation. To go beyo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51d45e3d782f4d39369e398b880751bb
https://doi.org/10.3233/faia220495
https://doi.org/10.3233/faia220495
Publikováno v:
Big Data and Cognitive Computing; Volume 6; Issue 4; Pages: 136
Due to the ubiquitous nature of CCTV cameras that record continuously, there is a large amount of video data that are unstructured. Often, when these recordings have to be reviewed, it is to look for a specific person that fits a certain description.