A comprehensive review of conventional, machine leaning, and deep learning models for groundwater level (GWL) forecasting
Groundwater level (GWL) refers to the depth of the water table or the level of water below the
Earth's surface in underground formations. It is an important factor in managing and …
Earth's surface in underground formations. It is an important factor in managing and …
Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Applying machine learning algorithms in the prediction of nanofluids' thermophysical
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
properties such as density, viscosity, thermal conductivity (TC), and specific heat capacity …
Using the numerical simulation and artificial neural network (ANN) to evaluate temperature distribution in pulsed laser welding of different alloys
The temperature field during laser welding process plays an important role on determining
the quality and quantity of the weld bead size, microstructure characterizations and …
the quality and quantity of the weld bead size, microstructure characterizations and …
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles
In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …
A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach
The Domain Name System (DNS) protocol essentially translates domain names to IP
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
Personal learning environments: Modeling students' self-regulation enhancement through a learning management system platform
A personal learning environment (PLE) is known as a crucial support for educators who lead
learners through the process of collection, creation, and organization of personalized …
learners through the process of collection, creation, and organization of personalized …
An energy-efficient clustering algorithm for maximizing lifetime of wireless sensor networks using machine learning
Wireless sensor nodes come with small-sized batteries that provide the energy required to
do all kinds of activities. Unnecessary usage of the radio, especially during idle listening …
do all kinds of activities. Unnecessary usage of the radio, especially during idle listening …
Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects
The natural frequency of a clamped–clamped functionally graded porous (FGP) nanobeam
is predicted in this study. Material distribution is considered based on monotonous …
is predicted in this study. Material distribution is considered based on monotonous …
Experimental and numerical study of melt flow, temperature behavior and heat transfer mechanisms during the dissimilar laser welding process
The influence of laser beam deviation on temperature field and melt flow during laser
welding of two different metals, brass and 308 stainless steel (SS 308), was examined …
welding of two different metals, brass and 308 stainless steel (SS 308), was examined …
Multi-granularity siamese transformer-based change detection in remote sensing imagery
Abstract In recent years, Convolutional Neural Networks (CNNs) have promoted the
prosperity of Change Detection (CD). However, due to the intrinsic property of convolution …
prosperity of Change Detection (CD). However, due to the intrinsic property of convolution …