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Journal Articles
- 2024
[j3]Sakorn Mekruksavanich, Wikanda Phaphan, Narit Hnoohom, Anuchit Jitpattanakul:
Recognition of sports and daily activities through deep learning and convolutional block attention. PeerJ Comput. Sci. 10: e2100 (2024)- 2022
- [j2]Konlakorn Wongpatikaseree
, Sattaya Singkul, Narit Hnoohom, Sumeth Yuenyong:
Real-Time End-to-End Speech Emotion Recognition with Cross-Domain Adaptation. Big Data Cogn. Comput. 6(3): 79 (2022) - [j1]Narit Hnoohom, Pitchaya Chotivatunyu, Anuchit Jitpattanakul:
ACF: An Armed CCTV Footage Dataset for Enhancing Weapon Detection. Sensors 22(19): 7158 (2022)
Conference and Workshop Papers
- 2024
- [c20]Narit Hnoohom, Sakorn Mekruksavanich, Thanaruk Theeramunkong, Anuchit Jitpattanakul:
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. ICIEI 2024 - 2022
- [c19]Virach Sornlertlamvanich, Pawinee Iamtrakul, Teerayuth Horanont, Narit Hnoohom, Konlakorn Wongpatikaseree, Sumeth Yuenyong, Jantima Angkapanichkit, Suthasinee Piyapasuntra, Prittiporn Lopkerd, Santirak Prasertsuk, Chawee Busayarat, I-soon Raungratanaamporn, Somrudee Deepaisarn, Thatsanee Charoenporn:
Data Analytics and Aggregation Platform for Comprehensive City-Scale AI Modeling. EJC 2022: 92-109 - [c18]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. JCSSE 2022: 1-5 - [c17]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. JCSSE 2022: 1-5 - [c16]Sukrit Jaidee, Konlakorn Wongpatikaseree, Narit Hnoohom, Sumeth Yuenyong, Panida Yomaboot:
MU Face Emotion - Building a Large Dataset for Emotional Facial Expression in Psychological Domain. KSE 2022: 1-6 - [c15]Narit Hnoohom, Nagorn Maitrichit, Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks. MIWAI 2022: 52-60 - [c14]Narit Hnoohom, Pitchaya Chotivatunyu, Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors. MIWAI 2022: 111-119 - [c13]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. MIWAI 2022: 146-155 - [c12]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. MIWAI 2022: 216-224 - 2021
- [c11]Chaiyos Choti, Narit Hnoohom, Suratose Tritilanunt, Sumeth Yuenyong:
Prediction of Intrusion Detection in Voice over Internet Protocol System using Machine Learning. ICCCM 2021: 149-155 - 2018
- [c10]Narit Hnoohom, Sumeth Yuenyong:
Classification of Dhamma Esan Characters By Transfer Learning of a Deep Neural Network. JCSSE 2018: 1-5 - 2017
- [c9]Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning. SITIS 2017: 408-412 - [c8]Malika Vachirapipop, Safra Soymat, Wasurat Tiraronnakul, Narit Hnoohom:
An Integration of Myo Armbands and an Android-Based Mobile Application for Communication with Hearing-Impaired Persons. SITIS 2017: 413-417 - 2016
- [c7]Suppanut Nateeraitaiwa, Narit Hnoohom:
Virtual Reality System with Smartphone Application for Height Exposure. PRICAI Workshops 2016: 38-50 - [c6]Narit Hnoohom, Ratikanlaya Tanthuwapathom:
Classification of Diabetic Retinopathy Stages Using Image Segmentation and an Artificial Neural Network. PRICAI Workshops 2016: 51-62 - [c5]Oraan Khunpisuth, Taweechai Chotchinasri, Varakorn Koschakosai, Narit Hnoohom:
Driver Drowsiness Detection Using Eye-Closeness Detection. SITIS 2016: 661-668 - [c4]Narit Hnoohom, Thanchanok Thanapattherakul:
Image Problem Classification for Dashboard Cameras. SITIS 2016: 673-678 - 2015
- [c3]Pakpoom Mookdarsanit, Lawankorn Soimart, Mahasak Ketcham, Narit Hnoohom:
Detecting Image Forgery Using XOR and Determinant of Pixels for Image Forensics. SITIS 2015: 613-616 - [c2]Narit Hnoohom, Narumol Chumuang, Mahasak Ketcham:
Thai Handwritten Verification System on Documents for the Investigation. SITIS 2015: 617-622 - [c1]Tanasanee Phienthrakul, Tewan Santitewagun, Narit Hnoohom:
A Linear Scoring Algorithm for Shredded Paper Reconstruction. SITIS 2015: 623-627
Editorship
- 2017
- [e1]Masayuki Numao, Thanaruk Theeramunkong, Thepchai Supnithi, Mahasak Ketcham, Narit Hnoohom, Patiyuth Pramkeaw:
Trends in Artificial Intelligence: PRICAI 2016 Workshops - PeHealth 2016, I3A 2016, AIED 2016 AI4T 2016, IWEC 2016, and RSAI 2016, Phuket, Thailand, August 22-23, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10004, Springer 2017, ISBN 978-3-319-60674-3 [contents]
Informal and Other Publications
- 2023
- [i1]Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Phoomraphee Luenam, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn:
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection. CoRR abs/2307.03211 (2023)
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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