Eight years of AutoML: categorisation, review and trends
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …
applied in a large number of application domains. However, apart from the required …
Modeling and process parameter optimization of laser cutting based on artificial neural network and intelligent optimization algorithm
X Ren, J Fan, R Pan, K Sun - The International Journal of Advanced …, 2023 - Springer
Laser cutting technology has proven advantageous in processing high-hardness metals,
ceramics, and composites. However, the process parameters significantly influence the kerf …
ceramics, and composites. However, the process parameters significantly influence the kerf …
Flow characteristics prediction in a flow-focusing microchannel for a desired droplet size using an inverse model: experimental and numerical study
Designing a model to predict the main non-dimensional parameters related to the fluids, ie,
the Capillary number, the Reynolds number, flow rates ratio, and viscosities ratio of two …
the Capillary number, the Reynolds number, flow rates ratio, and viscosities ratio of two …
Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems
This paper focuses on improving the overall performance of the vegetation evolution (VEGE)
algorithm and proposes a chaotic VEGE with multiple seeding strategies and a mutation …
algorithm and proposes a chaotic VEGE with multiple seeding strategies and a mutation …
Enhanced harmony search for hyperparameter tuning of deep neural networks
The performance of a deep neural network is affected by its configuration as well as its
training process. Determining the configuration of a DNN and training its parameters are …
training process. Determining the configuration of a DNN and training its parameters are …
A grasshopper optimization algorithm-based movie recommender system
G Ambikesh, SS Rao, K Chandrasekaran - Multimedia Tools and …, 2024 - Springer
A movie recommendation system functions as a specialized information system, providing
users with personalized suggestions aligned with their movie preferences. Employing …
users with personalized suggestions aligned with their movie preferences. Employing …
Nonlinear crossing strategy-based particle swarm optimizations with time-varying acceleration coefficients
K Watanabe, X Xu - Applied Intelligence, 2024 - Springer
In contemporary particle swarm optimization (PSO) algorithms, to efficiently explore global
optimum solutions, it is common practice to set the inertia weight to monotonically decrease …
optimum solutions, it is common practice to set the inertia weight to monotonically decrease …