default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSakorn Mekruksavanich
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j11]Worawith Sangkatip
, Phatthanaphong Chomphuwiset, Kaveepoj Bunluewong, Sakorn Mekruksavanich, Emmanuel Okafor, Olarik Surinta:
Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties. IEEE Access 12: 52237-52248 (2024)- [j10]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks. Inf. 15(1): 47 (2024) - [j9]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) - [j8]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Deep Residual Network with a CBAM Mechanism for the Recognition of Symmetric and Asymmetric Human Activity Using Wearable Sensors. Symmetry 16(5): 554 (2024) - [c31]Wikanda Phaphan, Anuchit Jitpattanakul, Supika Huadsri, Kamon Budsaba, Wiyada Phapan, Sakorn Mekruksavanich:
Modeling Life Insurance Business Growth in Thailand using SARIMAX and Multilayer Perceptron. ICCAE 2024: 146-151 - [c30]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation. ICCSA (2) 2024: 186-197 - [c29]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Optimizing On-Body Sensor Placements for Deep Learning-Driven Human Activity Recognition. ICCSA (2) 2024: 327-338 - [c28]Narit Hnoohom, Sakorn Mekruksavanich, Thanaruk Theeramunkong, Anuchit Jitpattanakul:
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. ICIEI 2024 - [c27]Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul:
A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors. TSP 2024: 143-146 - [c26]Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul:
Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition. TSP 2024: 156-159 - [c25]Sakorn Mekruks Avanich, Wikanda Phaphan, Anuchit Jitpattanakul:
Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals. TSP 2024: 160-163 - [c24]Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul:
Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors. TSP 2024: 164-167 - [c23]Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul:
Detecting Face-Touching Gestures with Smartwatches and Deep Learning Networks. TSP 2024: 249-252 - 2023
- [j7]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors. Comput. 12(7): 141 (2023) - [j6]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches. Mach. Learn. Knowl. Extr. 5(4): 1937-1952 (2023) - [c22]Anuchit Jitpattanakul, Sakorn Mekruksavanich:
Enhancing Sensor-Based Human Activity Recognition using Efficient Channel Attention. SENSORS 2023: 1-4 - [c21]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor. JCSSE 2023: 270-274 - [c20]Sakorn Mekruksavanich, Datchakorn Tancharoen, Anuchit Jitpattanakul:
Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network. TENCON 2023: 194-198 - [c19]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Deep Learning Networks for Complex Activity Recognition Based on Wrist-Worn Sensor. TENCON 2023: 243-248 - [c18]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Deep Learning Approaches for Epileptic Seizures Recognition based on EEG Signal. TSP 2023: 33-36 - [c17]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches. TSP 2023: 43-46 - [c16]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Free-Weight Exercise Activity Recognition using Deep Residual Neural Network based on Sensor Data from In-Ear Wearable Devices. TSP 2023: 52-55 - [c15]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
A Comparative Study of Deep Learning Robustness for Sensor-based Human Activity Recognition. TSP 2023: 87-90 - 2022
- [j5]Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, Phichai Youplao, Preecha P. Yupapin:
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors. IEEE Access 10: 51142-51154 (2022) - [j4]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements. Sensors 22(8): 3094 (2022) - [c14]Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul:
A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage. ITQM 2022: 621-627 - [c13]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 - [c12]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 - [c11]Sakorn Mekruksavanich, Ponnipa Jantawong, Ilsun You, Anuchit Jitpattanakul:
A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration. KST 2022: 114-118 - [c10]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 - [c9]Narit Hnoohom, Pitchaya Chotivatunyu, Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors. MIWAI 2022: 111-119 - [c8]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. MIWAI 2022: 146-155 - [c7]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 - [c6]Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul:
Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module. TSP 2022: 301-304 - [c5]Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul:
Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices. TSP 2022: 310-313 - 2021
- [j3]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes. Sensors 21(5): 1636 (2021) - [j2]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing. Sensors 21(22): 7519 (2021) - [c4]Sakorn Mekruksavanich, Chanon Promsakon, Anuchit Jitpattanakul:
Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network. JCSSE 2021: 1-5 - 2020
- [j1]Sakorn Mekruksavanich, Anuchit Jitpattanakul, Phichai Youplao, Preecha P. Yupapin:
Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs. Symmetry 12(9): 1570 (2020) - [c3]Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network. IEEE SENSORS 2020: 1-4
2010 – 2019
- 2017
- [c2]Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul:
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning. SITIS 2017: 408-412 - [c1]Sakorn Mekruksavanich:
Identifying Behavioral Design Flaws in Evolving Object-Oriented Software Using an Ontology-Based Approach. SITIS 2017: 424-429
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
