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 …
Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
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 …
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …
construction industry. It is one of the most common factors impacting structural deterioration …
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 …
Compressive strength prediction of hollow concrete masonry blocks using artificial intelligence algorithms
In this study, artificial intelligence algorithms are proposed for estimating the compressive
strength of hollow concrete block masonry prisms, including neural networks (ANN) …
strength of hollow concrete block masonry prisms, including neural networks (ANN) …
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 …
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …