Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Pronthep Pipitsunthonsan"'
Autor:
Pronthep Pipitsunthonsan, Thanate Khaorapapong, Sutkhet Nakasathien, Petcharat Suriyachai, Sittiporn Channumsin, Mitchai Chongcheawchamnan
Publikováno v:
IEEE Access, Vol 11, Pp 141445-141455 (2023)
Traditionally, the grading process of fresh palm bunches has used human observation at palm trading sites, which is not precise and unreliable due to human bias. Several studies have presented automatic grading methods based on image processing and m
Externí odkaz:
https://doaj.org/article/2fb76451f6814f698ec748318bf1e8f8
Method for Classifying a Noisy Raman Spectrum Based on a Wavelet Transform and a Deep Neural Network
Autor:
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan
Publikováno v:
IEEE Access, Vol 8, Pp 202716-202727 (2020)
Because it is relatively difficult in practice to classify the Raman spectrum under baseline noise and additive white Gaussian noise environments, this paper proposes a new framework based on a wavelet transform and deep neural network for identifica
Externí odkaz:
https://doaj.org/article/c24cde16425a4c31aa9aa0f06e24de8d
Autor:
Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Sittiporn Channumsin, Mitchai Chongcheawchamnan
Publikováno v:
Computers and Electronics in Agriculture. 210:107864
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc4a49d893ff1d72c06244368e08d309
https://doi.org/10.1016/j.compag.2023.107864
https://doi.org/10.1016/j.compag.2023.107864
Autor:
Pronthep Pipitsunthonsan, Liangrui Pan, Chalongrat Daengngam, Mitchai Chongcheawchamnan, Sittiporn Channumsin, Suwat Sreesawet
Publikováno v:
IEEE Sensors Journal. 21:10834-10843
With a noisy environment caused by fluorescence and additive white noise as well as complicated spectra fingerprints, the identification of complex mixture materials remains a significant challenge in Raman spectroscopy application. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c4d948b7494c8ad9a711f91f6c63335
https://doi.org/10.1109/jsen.2021.3059849
https://doi.org/10.1109/jsen.2021.3059849
Method for Classifying a Noisy Raman Spectrum Based on a Wavelet Transform and a Deep Neural Network
Autor:
Pronthep Pipitsunthonsan, Sittiporn Channumsin, Mitchai Chongcheawchamnan, Chalongrat Daengngam, Suwat Sreesawet, Liangrui Pan
Publikováno v:
IEEE Access, Vol 8, Pp 202716-202727 (2020)
Because it is relatively difficult in practice to classify the Raman spectrum under baseline noise and additive white Gaussian noise environments, this paper proposes a new framework based on a wavelet transform and deep neural network for identifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8032fae42d723ec43abc6d760e704f1
https://ieeexplore.ieee.org/document/9248061/
https://ieeexplore.ieee.org/document/9248061/
Autor:
Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Mitchai Chongcheawchamnan
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847a90361f3255deeddd807a0d6b1c70
https://doi.org/10.2139/ssrn.4053449
https://doi.org/10.2139/ssrn.4053449
Autor:
Pronthep Pipitsunthonsan, Liangrui Pan, Shaoliang Peng, Thanate Khaorapapong, Sutkhet Nakasathien, Sittiporn Channumsin, Mitchai Chongcheawchamnan
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9a74e2ee635b9a2483abe9d74772e5
https://doi.org/10.2139/ssrn.4186638
https://doi.org/10.2139/ssrn.4186638
Publikováno v:
HSI
Dangerous chemicals have always been the hidden danger of social security, how to accurately identify chemicals is very important. In this experiment, the Raman scattering instrument will provide us with the Raman spectrum signal of about 190 chemica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f9c87ead45b29cb20cbf4ee3b6244a5
https://doi.org/10.1109/hsi49210.2020.9142632
https://doi.org/10.1109/hsi49210.2020.9142632
Publikováno v:
WPMC
This paper presents a leaf sensor which was designed for stomatal transpiration detection. The sensor consists of a thermocouple, a humidity sensor and a programmed microcontroller. The thermocouple measures temperature difference between the leaf an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca456eb9707b2f99c276632dadd4413
https://doi.org/10.1109/wpmc.2018.8713096
https://doi.org/10.1109/wpmc.2018.8713096
Publikováno v:
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents the antenna tracking based on hexapod system under the R&D project which is called WATERs (Wise Antenna of Transmission Execution & Receiving system). This system will be used to transmit telecommand (TC) and receive telemetry (TM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710635d9fb9389ce7007556595278d23
https://doi.org/10.1109/ecticon.2018.8620008
https://doi.org/10.1109/ecticon.2018.8620008