13-a - Program search result - SCEJ 89th Annual Meeting (Sakai, 2024)

`SCEJ 89th Annual Meeting (Sakai, 2024)`

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Program search result : 13-a : 7 programs

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Topics Code field begins with “13-a”; 7 programs are found.
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 2 09:20– 11:20	PB261	Effects of Substrate Moisture Content on Up-flow Dry Anaerobic Digestion (TUAT) *(Stu)Fujii K., Kuroiwa M., (Reg)Terada A., (Reg)Riya S.	Anaerobic Digestion Biomass energy Moisture Content	13-a	402
Day 2 09:20– 11:20	PB266	Machine Learning approach for predicting hydrogen production from water electrolysis (Korea U.) *(Stu)Guo Fengshi, (Stu)Ren Yangmin, (Stu)Zhou Yongyue, (Stu)Sun Shiyu, Cui Mingcan, Khim Jeehyeong	Hydrogen production Electrolysis Mashine Learning	13-a	94
Day 2 09:20– 11:20	PB267	Connecting the spatial information of adsorption sites in Metal-organic Frameworks with their water adsorption properties (Nat. Taiwan U.) *Xu Zhi-Xun, Lin Li-Chiang	water adsorption deep learning molecular simulations	13-a	327
Day 2 09:20– 11:20	PB268	Preparation of cobalt aqua complex ion-imprinted silica particles and their possible application for remediation of tritium-contaminated water (Akita U.) *(Stu)Yanagisawa Marina, (Reg)Yokota Saki, (Reg)Gotoh Takeshi	Tritiated water molecular imprinting adhesive peptide	13-a	433
Day 2 09:20– 11:20	PB277	Effect of moisture content on mixed anaerobic digestion of cattle manure and rice straw (TUAT) *(Stu)Kazuta Yui, Kuroiwa Megumi, (Reg)Terada Akihiko, (Reg)Riya Shohei	anaerobic digestion moisture content protozoa	13-a	694
Day 3 9:00– 9:20	J301	Water temperature prediction for cyanobacteria bloom assessment in the Murou Dam reservoir (Eikei U. Hiroshima) *(Reg)Sagehashi Masaki, (Tohoku U.) Miura Yohei, Sano Daisuke, Nishimura Osamu, (Japan Water Agency) Imamoto Hiroomi, (Kyoto U.) Asada Yasuhiro, (Nat. Inst. Public Health) Akiba Michihiro	Cyanobacteria Water Temperature Murou Dam Reservoir	13-a	485
Day 3 10:00– 10:20	J304	Machine learning compared with conventional statistic model: Design of permeable reactive barrier for groundwater remediation (Korea U.) *(Stu)Ren Yangmin, (Stu)Zhou Yongyue, (Stu)Sun Shiyu, (Stu)Guo Fengshi, Cui Mingcan, Khim Jeehyeong	Groundwater Permeable reactive barrier Machine learning	13-a	19

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SCEJ 89th Annual Meeting (Sakai, 2024)

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