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P
Phasit Charoenkwan
Chiang Mai University
31
H指数
106
论文数
2.9K
被引数
0
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49
发表时间
发表时间
IF
被引数
Validation of a Deep Learning-Based Markerless Video System for Gait Speed Assessment During the 10-Meter Walk Test in Outdoor Clinical Settings
基于深度学习的无标记视频系统在室外临床环境中进行10米步行测试时步速评估的验证
Journal of Functional Morphology and Kinesiology
IF
2.5
2026-09-08
0
OA
AI
Teerawat Kamnardsiri; Phasit Charoenkwan; Sirinun Boripuntakul
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Interpretable QSAR modelling for PPAR-γ agonist prediction by integrating a stacking strategy, docking, and MD simulations
通过集成堆叠策略、对接和MD模拟的可解释QSAR建模用于PPAR-γ激动剂预测
Molecular Diversity
IF
3.8
2026-08-28
0
PRE
AI
Phasit Charoenkwan; Ittipat Meewan; Nalini Schaduangrat; Watshara Shoombuatong
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Intelligent drone-based framework for autonomous inventory data inspection
基于智能无人机的自主库存数据检测框架
Intelligent Systems with Applications
IF
4.3
2026-05-01
0
PRE
AI
Singkhamfu, Phudinan; Charoenkwan, Phasit; Kamnardsiri, Teerawat; Noamna, Somkeit; Malang, Chommaphat; Wudhikarn, Ratapol
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Machine learning–based cfDNA fragmentation profiling using automated capillary electrophoresis for early detection of hepatocellular carcinoma
基于机器学习的cfDNA片段化谱分析,采用自动化毛细管电泳进行肝细胞癌的早期检测
Communications Medicine
IF
6.3
2026-02-17
0
OA
AI
Sasimol Udomruk; Songphon Sutthitthasakul; Nuttida Bunsermvicha; Kanokwan Pinyopornpanish; Dumnoensun Pruksakorn; Phasit Charoenkwan; Petlada Yongpitakwattana; Kanlaya Khounkaew; Thanapak Jaimalai; Treephum Duangsan; Santhasiri Orrapin; Sutpirat Moonmuang; Pitiporn Noisagul; Arnat Pasena; Pathacha Suksakit; Ratikorn Gamngoen; Pimpisa Teeyakasem; Chaiyut Charoentum; Sarawut Kongkarnka; Worakitti Lapisatepun; Parunya Chaiyawat
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Leveraging a Meta-Learning Strategy to Advance the Accuracy of Neutralizing Antibodies against Dengue Virus Serotype Prediction
利用元学习策略提升针对登革病毒血清型预测的中和抗体准确性
ACS OMEGA
IF
4.3
2025-12-01
0
PRE
AI
Charoenkwan, Phasit; Pipattanaboon, Chonlatip; Schaduangrat, Nalini; Mahmud, S. M. Hasan; Shoombuatong, Watshara
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Classification of translucent flesh defects in phulae pineapples using stacking ensemble classifiers and deep neural networks
利用堆叠集成分类器和深度神经网络对菲拉叶菠萝的半透明果肉缺陷进行分类
Applied Food Research
IF
6.2
2025-10-25
0
OA
AI
Sujitra Arwatchananukul; Saowapa Chaiwong; Phasit Charoenkwan; Teerasak Punvichai; Min Chen; Rattapon Saengrayap
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PSR-MAPMS: A new approach for the interpretable prediction of myelin autoantigenic peptides in multiple sclerosis using multi-source propensity scores
PSR-MAPMS:一种基于多源倾向性评分的多发性硬化髓鞘自身抗原肽可解释预测的新方法
Protein Science
IF
5.2
2025-07-17
0
OA
AI
Phasit Charoenkwan; Nalini Schaduangrat; Pramote Chumnanpuen; Watshara Shoombuatong
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Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides
Deepstack-ace: 一个基于深度堆叠的集成学习框架,用于加速发现ACE抑制肽
METHODS
IF
4.3
2025-02-01
0
PRE
AI
Charoenkwan, Phasit; Chumnanpuen, Pramote; Schaduangrat, Nalini; Shoombuatong, Watshara
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M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF
6.1
2025-01-01
3
PRE
AI
Charoenkwan, Phasit; Schaduangrat, Nalini; Phan, Le Thi; Manavalan, Balachandran; Shoombuatong, Watshara
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Implementing a deep learning model for defect classification in Thai Arabica green coffee beans
SMART AGRICULTURAL TECHNOLOGY
IF
5.7
2024-12-01
1
OA
AI
Arwatchananukul, Sujitra; Xu, Dan; Charoenkwan, Phasit; Moon, Sai Aung; Saengrayap, Rattapon
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MetaCGRP is a high-precision meta-model for large-scale identification of CGRP inhibitors using multi-view information
SCIENTIFIC REPORTS
IF
3.9
2024-10-21
0
OA
AI
Schaduangrat, Nalini; Khemawoot, Phisit; Jiso, Apisada; Charoenkwan, Phasit; Shoombuatong, Watshara
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Machine-learning-assisted high-throughput identification of potent and stable neutralizing antibodies against all four dengue virus serotypes
SCIENTIFIC REPORTS
IF
3.9
2024-07-26
0
OA
AI
Natsrita, Piyatida; Charoenkwan, Phasit; Shoombuatong, Watshara; Mahalapbutr, Panupong; Faksri, Kiatichai; Chareonsudjai, Sorujsiri; Rungrotmongkol, Thanyada; Pipattanaboon, Chonlatip
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Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework
利用堆叠集成学习框架加速植物蛋白致敏性潜力的识别
biomolecular structure dynamics
IF
0
2024-02-22
0
PRE
AI
Phasit Charoenkwan; Pramote Chumnanpuen; Nalini Schaduangrat; Watshara Shoombuatong
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A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction
IEEE ACCESS
IF
3.6
2024-01-01
0
OA
AI
Chaisen, Thanakorn; Charoenkwan, Phasit; Kim, Cheong Ghil; Thiengburanathum, Pree
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DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
JOURNAL OF CHEMINFORMATICS
IF
5.7
2023-05-06
14
OA
AI
Schaduangrat, Nalini; Anuwongcharoen, Nuttapat; Charoenkwan, Phasit; Shoombuatong, Watshara
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Pretoria: An effective computational approach for accurate and high-throughput identification of CD8+t-cell epitopes of eukaryotic pathogens
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
IF
8.5
2023-05-01
2
PRE
AI
Charoenkwan, Phasit; Schaduangrat, Nalini; Pham, Nhat Truong; Manavalan, Balachandran; Shoombuatong, Watshara
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PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning
COMPUTERS IN BIOLOGY AND MEDICINE
IF
6.3
2023-05-01
8
PRE
AI
Charoenkwan, Phasit; Chumnanpuen, Pramote; Schaduangrat, Nalini; Oh, Changmin; Manavalan, Balachandran; Shoombuatong, Watshara
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Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review
无人机 (UAV) 在仓库管理中的实施和关键因素: 系统的文献综述
DRONES
IF
4.8
2023-01-23
8
OA
AI
Malang, Chommaphat; Charoenkwan, Phasit; Wudhikarn, Ratapol
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PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
COMPUTERS IN BIOLOGY AND MEDICINE
IF
6.3
2023-01-01
11
PRE
AI
Charoenkwan, Phasit; Pipattanaboon, Chonlatip; Nantasenamat, Chanin; Hasan, Md Mehedi; Moni, Mohammad Ali; Lio, Pietro; Shoombuatong, Watshara
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SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation
IEEE ACCESS
IF
3.6
2023-01-01
4
OA
AI
Thiengburanathum, Pree; Charoenkwan, Phasit
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研究方向
暂无研究方向
合作学者
合作期刊
M
Mohammad Ali Moni
H 指数: 84 · 论文数: 521
P
Píetro Lió
H 指数: 72 · 论文数: 1.1K
B
Balachandran Manavalan
H 指数: 54 · 论文数: 155
C
Chanin Nantasenamat
H 指数: 52 · 论文数: 218
S
Shinn‐Ying Ho
H 指数: 47 · 论文数: 232
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