Ionic liquids in pharmaceutical industry: A systematic review on applications and future perspectives
W Zhuang, K Hachem, D Bokov, MJ Ansari… - Journal of Molecular …, 2022 - Elsevier
Ionic liquids (ILs) have demonstrated incredible potential of application in various industries
such as pharmaceutics. Appropriate utilization of ILs in the pharmaceutical industry can be a …
such as pharmaceutics. Appropriate utilization of ILs in the pharmaceutical industry can be a …
Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach
Overbreak is a detrimental phenomenon caused by tunnel blasting, which can lead to
increased time and cost in the construction schedule. It is very important to establish a model …
increased time and cost in the construction schedule. It is very important to establish a model …
Application of artificial intelligence technique in optimization and prediction of the stability of the walls against wind loads in building design
D Hu, H Sun, P Mehrabi, YA Ali… - Mechanics of Advanced …, 2024 - Taylor & Francis
The present study is done to perform the optimal design of the structural components of the
buildings against the unwanted wind load exerted on their outer face. To this end, the case …
buildings against the unwanted wind load exerted on their outer face. To this end, the case …
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Abstract Tunnel Boring Machines (TBMs) have been increasingly used in tunnelling
projects. Forecasting future TBM performance would be desirable for project time …
projects. Forecasting future TBM performance would be desirable for project time …
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
The squeezing behavior of surrounding rock can be described as the time-dependent large
deformation during tunnel excavation, which appears in special geological conditions, such …
deformation during tunnel excavation, which appears in special geological conditions, such …
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization …
This research presents a new model for finding optimal conditions in the concrete
technology area. To do that, results of a series of laboratory investigations on concrete …
technology area. To do that, results of a series of laboratory investigations on concrete …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study
Tensile strength of rock plays a significant role in the design of tunnels and underground
engineering projects. Due to the inefficiency of direct method in determining rock tensile …
engineering projects. Due to the inefficiency of direct method in determining rock tensile …
Experimental study on rock mechanical behavior retaining the in situ geological conditions at different depths
Understanding the real physical and mechanical characteristics of deep rocks under in situ
geological conditions is fundamental for deep rock engineering. Rock mechanics that …
geological conditions is fundamental for deep rock engineering. Rock mechanics that …
Energy evolution analysis and failure criteria for rock under different stress paths
L Zhang, Y Cong, F Meng, Z Wang, P Zhang, S Gao - Acta Geotechnica, 2021 - Springer
Triaxial loading and unloading tests on marble specimens under different stress paths were
conducted to investigate the characteristics of energy evolution in rock deformation process …
conducted to investigate the characteristics of energy evolution in rock deformation process …