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Evaluation of microstructure and prediction of hardness of Al–Cu based composites by using artificial neural network and linear regression through machine learning technique
Al–Cu alloy with B 4 C particulates will meet the specific application which includes window panel, seats, aircraft structure and aircraft fittings due...
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Support vector machine-based prediction of unconfined compressive strength of Multi-Walled Carbon nanotube doped soil-fly ash mixes
This comprehensive investigation explores the profound impact of multi-walled carbon nanotubes (MWCNT) on the unconfined compressive strength of...
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An integrated federated learning with CRSO of attention-based LSTM framework for efficient IoT DataStream prediction
Real-time data stream processing presents a significant challenge in the rapidly changing Internet of Things (IoT) environment. Traditional...
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Estimation of pile bearing capacity using hybrid models based on modified radial base function
Pile bearing capacity (P u ) is a vital aspect of geotechnical engineering and foundation design, representing the maximum load a single pile or a...
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Three-dimensional simulation of granular flow using a mesh-free numerical model
The study and modeling of granular materials using various rheological models are intriguing subjects in numerical simulations and are applicable for...
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In-memory computing: characteristics, spintronics, and neural network applications insights
In today's digital computing landscape, In-Memory Computing (IMC) has emerged as a revolutionary approach to tackling critical energy efficiency and...
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Study of the effect of traffic and static loads on the stability and deformation of shallow urban utility tunnels
In this study, the effect of tunnel overburden under static loading, along with traffic loading caused by the passage of vehicles, on the rate of...
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Optimal design of selected features of exhaust system shields using different optimization methods and artificial neural networks
The article presents problems related to methods of optimal design of heat shields used in exhaust systems of internal combustion engines. The...
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Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques
Premature ventricular beat and its attacks are one of the most common abnormalities that not only old people but also about 33% of heart diseases...
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Effect of the yaw angle on turbulent flow structures around the submarine model
The objective of this paper is to investigate the turbulent flow structures around the submarine model and evaluate the effect of the yaw angle on...
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Energy partition in laser-induced cavitation bubbles near the rigid wall with a gas-containing hole
To investigate the energy partition in laser-induced cavitation bubbles near the rigid wall with a gas-containing hole, we utilized a nanosecond...
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Prediction of bedload transport inside vegetation canopies with natural morphology
Due to vegetation drag and vegetation-generated turbulence, bedload transport in vegetated channels is more complicated than that in nonvegetated...
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Hybrid regression analysis for the static strength of seasonally frozen soils
Seasonally ice-bound ground are subjected to cyclic freeze–thaw processes, which can significantly degrade their mechanical properties, including...
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Predicting submerged vegetation drag with a machine learning–based method
Accurate estimation of the drag forces generated by vegetation stems is crucial for the comprehensive assessment of the impact of aquatic vegetation...
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Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties
To design and plan effectively, understanding the engineering properties of rocks, such as the Uniaxial Compressive Strength (UCS), is crucial. While...
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Typhoon-Induced Ocean Waves and Stokes Drift: A Case Study of Typhoon Mangkhut (2018)
Ocean waves and Stokes drift are generated by typhoons. This study investigated the characteristics of ocean waves and wave-induced Stokes drift and...
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Hybrid neuro-fuzzy models for assessing the optimum moisture content of lime cement-treated soil
This study explores the application of machine learning (ML) techniques to predict the optimum moisture content (OMC) of soil-stabilizer...
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Optimized integration of Opuntia ficus-indica fibers for improved performance in plaster-based composites
The use of biomass is an important environmental step in the face of environmental conservation efforts and the ongoing depletion of fossil...
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Flow characteristics and bubble statistics during the fragmentation process of the ingested main cavity in plunging breaking waves
Plunging breaking waves play an important role in the exchange of heat, momentum, and mass between the atmosphere and ocean. In this paper, a series...
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Numerical analysis of coupled sloshing and motion of a cylindrical FPSO in regular waves
In this paper, the coupled sloshing and motion characteristics of a cylindrical floating production storage offloading (CFPSO) are numerically...