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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Kwon, Minsu Kwon, M 6 Univ Ulsan, Coll Med, Asan Med Ctr, Seoul, South Korea 0000-0003-0772-0708 Kwon, Minsu shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Hong, Yong Tae Hong, YT 7 Jeonbuk Natl Univ, Jeonbuk Natl Univ Hosp, Med Sch, Jeonju, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Lee, Gil Joon Lee, GJ 8 Kyungpook Natl Univ, Sch Med, Kyungpook, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Byeon, Hyung Kwon Byeon, HK 9 Soonchunhyang Univ, Seoul Hosp, Coll Med, Seoul, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Choi, Seung Ho Choi, SH 10 교신저자 Univ Ulsan, Coll Med, Asan Med Ctr, Seoul, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Choi, Seung Ho Choi, SH 10 교신저자 Univ Ulsan, Coll Med, Asan Med Ctr, Dept Otorhinolaryngol Head & Neck Surg, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Lee, Seung Won Lee, SW 11 교신저자 Soonchunhyang Univ, Soonchunhyang Univ Bucheon Hosp, Coll Med, Bucheon, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force Lee, Seung Won Lee, SW 11 교신저자 Soonchunhyang Univ, Dept Otorhinolaryngol Head & Neck Surg, Coll Med, 170 Jomaru Ro, Bucheon 14584, South Korea shchoi@amc.seoul.kr;lsw0922@schmc.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Nguyen, Dang Dinh Nguyen, DD 1 Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea 0000-0002-3738-6694 Nguyen, Dang Dinh gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Nguyen, Dang Dinh Nguyen, DD 1 Natl Res Inst Mech Engn, 4 Pham Dong St, Hanoi, Vietnam 0000-0002-3738-6694 Nguyen, Dang Dinh gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Tanveer, Muhammad Tanveer, M 2 Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea AAO-9360-2021 Tanveer, Muhammad 0000-0003-4582-9835 Ranjah, Muhammad Tanveer Ahmed gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Mai, Hang-Nga Mai, HN 3 Hanoi Univ Business & Technol, 29A Vinh Tuy, Hanoi, Vietnam Q-9865-2018 Mai, Hang-Nga 0000-0002-9832-3312 Mai, Hang-Nga gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Pham, Thinh Quy Duc Pham, TQD 4 Univ Liege, MSM Unit, Allee Decouverte 9 B52-3, B-4000 Liege, Belgium gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Khan, Haroon Khan, H 5 Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea gyuman.kim@knu.ac.kr;
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters Park, Cheol Woo Park, CW 6 Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea gyuman.kim@knu.ac.kr;
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