Narit Hnoohom

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Activity Recognition

Convolutional Neural Networks

Top Venues

PRICAI Workshops

Publications

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 (2024)
Narit Hnoohom, Sakorn Mekruksavanich, Thanaruk Theeramunkong, Anuchit Jitpattanakul
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. ICIEI (2024)
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 (2023)
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) (2022)
Narit Hnoohom, Pitchaya Chotivatunyu, Anuchit Jitpattanakul
ACF: An Armed CCTV Footage Dataset for Enhancing Weapon Detection. Sensors 22 (19) (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. MIWAI (2022)
Narit Hnoohom, Nagorn Maitrichit, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks. MIWAI (2022)
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)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. MIWAI (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. JCSSE (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. JCSSE (2022)
Narit Hnoohom, Pitchaya Chotivatunyu, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors. MIWAI (2022)
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)
Chaiyos Choti, Narit Hnoohom, Suratose Tritilanunt, Sumeth Yuenyong
Prediction of Intrusion Detection in Voice over Internet Protocol System using Machine Learning. ICCCM (2021)
Narit Hnoohom, Sumeth Yuenyong
Classification of Dhamma Esan Characters By Transfer Learning of a Deep Neural Network. JCSSE (2018)
Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning. SITIS (2017)
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)
Narit Hnoohom, Thanchanok Thanapattherakul
Image Problem Classification for Dashboard Cameras. SITIS (2016)
Oraan Khunpisuth, Taweechai Chotchinasri, Varakorn Koschakosai, Narit Hnoohom
Driver Drowsiness Detection Using Eye-Closeness Detection. SITIS (2016)
Suppanut Nateeraitaiwa, Narit Hnoohom
Virtual Reality System with Smartphone Application for Height Exposure. PRICAI Workshops (2016)
Narit Hnoohom, Ratikanlaya Tanthuwapathom
Classification of Diabetic Retinopathy Stages Using Image Segmentation and an Artificial Neural Network. PRICAI Workshops (2016)
Narit Hnoohom, Narumol Chumuang, Mahasak Ketcham
Thai Handwritten Verification System on Documents for the Investigation. SITIS (2015)
Pakpoom Mookdarsanit, Lawankorn Soimart, Mahasak Ketcham, Narit Hnoohom
Detecting Image Forgery Using XOR and Determinant of Pixels for Image Forensics. SITIS (2015)
Tanasanee Phienthrakul, Tewan Santitewagun, Narit Hnoohom
A Linear Scoring Algorithm for Shredded Paper Reconstruction. SITIS (2015)