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Narit Hnoohom
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2020 – today
- 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) - [c20]Narit Hnoohom
, Sakorn Mekruksavanich
, Thanaruk Theeramunkong
, Anuchit Jitpattanakul
:
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. ICIEI 2024 - 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) - 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) - [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
2010 – 2019
- 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 - [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] - 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
Coauthor Index
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last updated on 2024-07-20 20:29 CEST by the dblp team
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