output
20202023
most citedMachine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

97 citations

6 papers

cs.LG202338 cited

Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach

Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian +7

Chemical and biomass processing systems release volatile matter compounds into the environment daily. Catalytic reforming can convert these compounds into valuable fuels, but devel…

cs.LG202375 cited

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

Hossein Shahbeik, Alireza Shafizadeh, Mohammad Hossein Nadian +7

Co-pyrolysis of biomass feedstocks with polymeric wastes is a promising strategy for improving the quantity and quality parameters of the resulting liquid fuel. Numerous experiment…

cs.LG202397 cited

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7

Hydrothermal carbonization (HTC) is a process that converts biomass into versatile hydrochar without the need for prior drying. The physicochemical properties of hydrochar are infl…

math.CA2021

Monotonicity properties related to the ratio of two gamma functions

Nian Hong Zhou, Da-Wei Niu

In this paper we investigate the monotonicity properties related to the ratio of gamma functions, from which some related asymptotics and inequalities are established. Some special…

math.AP2020

Non-uniform dependence on initial data for the Camassa-Holm equation in the critical Besov space

Jinlu Li, Xing Wu, Yanghai Yu +1

Whether or not the data-to-solution map of the Cauchy problem for the Camassa-Holm equation and Novikov equation in the critical Besov space is not uniformly co…

eess.SY202019 cited

Dynamic Modeling and Adaptive Controlling in GPS-Intelligent Buoy (GIB) Systems Based on Neural-Fuzzy Networks

Dangquan Zhang, Muhammad Aqeel Ashraf, Zhenling Liu +3

Recently, various relations and criteria have been presented to establish a proper relationship between control systems and control the Global Positioning System (GPS)-intelligent…