190 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Theerawit Wilaiprasitporn2 profiles24 · h 22
- Phairot Autthasan8 · h 8
- Nannapas Banluesombatkul6 · h 7
- Pitshaporn Leelaarporn6 · h 13
- P. Manoonpong6 · h 32
- Apiwat Ditthapron5 · h 6
- E. Chuangsuwanich5 · h 20
- Nat Dilokthanakul2 profiles5 · h 10
- Thapanun Sudhawiyangkul5 · h 13
- Narin Kunaseth4 · h 5
- Payongkit Lakhan4 · h 5
- Rattanaphon Chaisaen4 · h 7
- Chulalongkorn UniversityTH9 papers
- Kasetsart UniversityTH8 papers
- King Mongkut's University of Technology ThonburiTH6 papers
- Mahidol UniversityTH5 papers
- University of Southern DenmarkDK4 papers
- Worcester Polytechnic InstituteUS4 papers
- Christian-Albrechts-Universität zu KielDE2 papers
- King Chulalongkorn Memorial HospitalTH2 papers
- Korea Advanced Institute of Science and TechnologyKR2 papers
- KU LeuvenBE2 papers
- Macquarie UniversityAU2 papers
- Maersk (Denmark)DK2 papers
37 papers
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Arthicha Srisuchinnawong, Poramate Manoonpong
Continual locomotion learning faces four challenges: incomprehensibility, sample inefficiency, lack of knowledge exploitation, and catastrophic forgetting. Thus, this work introduc…
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning
Arthicha Srisuchinnawong, Poramate Manoonpong
Robot locomotion learning using reinforcement learning suffers from training sample inefficiency and exhibits the non-understandable/black-box nature. Thus, this work presents a no…
Nature's All-in-One: Multitasking Robots Inspired by Dung Beetles
Binggwong Leung, Stanislav Gorb, Poramate Manoonpong
Dung beetles impressively coordinate their six legs simultaneously to effectively roll large dung balls. They are also capable of rolling dung balls varying in the weight on differ…
On Creating an English-Thai Code-switched Machine Translation in Medical Domain
Parinthapat Pengpun, Krittamate Tiankanon, Amrest Chinkamol +11
Machine translation (MT) in the medical domain plays a pivotal role in enhancing healthcare quality and disseminating medical knowledge. Despite advancements in English-Thai MT tec…
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan +2
Recent advances in deep learning (DL) have significantly impacted motor imagery (MI)-based brain-computer interface (BCI) systems, enhancing the decoding of electroencephalography…
PyTester: Deep Reinforcement Learning for Text-to-Testcase Generation
Wannita Takerngsaksiri, Rujikorn Charakorn, Chakkrit Tantithamthavorn +1
Test-driven development (TDD) is a widely-employed software development practice that mandates writing test cases based on requirements before writing the actual code. While writin…
Highly-Sensitive Resonance-Enhanced Organic Photodetectors for Shortwave Infrared Sensing
Hoang Mai Luong, Chokchai Kaiyasuan, Ahra Yi +8
Shortwave infrared (SWIR) has various applications, including night vision, remote sensing, and medical imaging. SWIR organic photodetectors (OPDs) offer advantages such as flexibi…
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing
Tanut Choksatchawathi, Guntitat Sawadwuthikul, Punnawish Thuwajit +7
Detecting obstructive sleep apnea (OSA) is essential for diagnosing and managing sleep health. Traditionally, this involves clinical settings with hardly accessible processes. We p…
DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows
Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn
We introduce a novel approach to single-view face relighting in the wild, addressing challenges such as global illumination and cast shadows. A common scheme in recent methods invo…
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation
Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit +7
Respiratory rate (RR) is an important biomarker as RR changes can reflect severe medical events such as heart disease, lung disease, and sleep disorders. Unfortunately, standard ma…
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai +5
While there have been increased researches using deep learning techniques for the extraction of vascular structure from the 2D en face OCTA, for such approach, it is known that the…
Origin of Hole-Trapping States in Solution-Processed Copper(I) Thiocyanate (CuSCN) and Defect-Healing by I Doping
Pimpisut Worakajit, Pinit Kidkhunthod, Saran Waiprasoet +4
Solution-processed copper(I) thiocyanate (CuSCN) typically exhibits low crystallinity with short-range order; the defects result in a high density of trap states that limit the dev…
2022 Review of Data-Driven Plasma Science
Rushil Anirudh, Rick Archibald, M. Salman Asif +60
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data…
Tin(II) thiocyanate Sn(SCN) as an ultrathin anode interlayer in organic photovoltaics
Jidapa Chaopaknam, Chayanit Wechwithayakhlung, Hideki Nakajima +6
We report the application of a coordination polymer semiconductor, tin(II) thiocyanate [Sn(SCN)] as an ultrathin anode interlayer in organic photovoltaics (OPVs). Sub-10 nm lay…
Revealing Preference in Popular Music Through Familiarity and Brain Response
Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn +8
Music preference was reported as a factor, which could elicit innermost music emotion, entailing accurate ground-truth data and music therapy efficiency. This study executes statis…
A Pilot Study on Visually Stimulated Cognitive Tasks for EEG-Based Dementia Recognition
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip +9
In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent…
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul +7
Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow control of several applications by decoding neurophysiological phenomena, which are usually recorded…
scb-mt-en-th-2020: A Large English-Thai Parallel Corpus
Lalita Lowphansirikul, Charin Polpanumas, Attapol T. Rutherford +1
The primary objective of our work is to build a large-scale English-Thai dataset for machine translation. We construct an English-Thai machine translation dataset with over 1 milli…
SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB
Maytus Piriyajitakonkij, Patchanon Warin, Payongkit Lakhan +7
Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human…
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn +8
Identifying bio-signals based-sleep stages requires time-consuming and tedious labor of skilled clinicians. Deep learning approaches have been introduced in order to challenge the…
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda +6
Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb…
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat +3
Visual data can be understood at different levels of granularity, where global features correspond to semantic-level information and local features correspond to texture patterns.…
Miniaturized Metalens Based Optical Tweezers on Liquid Crystal Droplets for Lab-on-a-Chip Optical Motors
Satayu Suwannasopon, Fabian Meyer, Christian Schlickriede +5
Surfaces covered with layers of ultrathin nanoantenna structures, so-called metasurfaces, have recently been proven capable of completely controlling phase of light. Metalenses hav…
Drowsiness Detection for Office-based Workload with Mouse and Keyboard Data
Sanurak Natnithikarat, Sirakorn Lamyai, Pitshaporn Leelaarporn +4
Non-invasive devices involved in the detection of drowsiness generally include infrared camera and Electroencephalography (EEG), of which sometimes are constrained in an actual rea…