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Gradient Systems
This chapter discusses both major components of the gradient systems required by low-field MRI systems, namely the gradient driver and the gradient...
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Compendium on Gradient Materials
This book offers frameworks for the material modeling of gradient materials both for finite and small deformations within elasticity, plasticity,...
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Cooling Performance Elevation of a 3T Animal Gradient Assembly with Hollow Pipe Axial Gradient Coil
The cooling performance of gradient coils is an important indicator of magnetic resonance imaging (MRI), which is closely related to the image...
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Directional Derivatives and Gradient
Let a real-valued function f of two real variables of class C1 be given. A vector, called the gradient of the function, whose components are the...
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A flexoelectric theory with rotation gradient and electric field gradient effects for isotropic dielectrics
In this study, a flexoelectric theory within the context of the couple stress theory is developed for isotropic dielectrics to capture the...
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Second gradient theory of thermopiezoelectricity
This paper is concerned with a linear theory of thermopiezoelectricity in which the second gradient of the displacement, the second gradient of the...
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Fractional gradient system and generalized Birkhoff system
New fractional gradient representation of generalized Birkhoff system is studied. New definition of fractional gradient system for generalized...
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Collective Gradient Following with Sensory Heterogeneous UAV Swarm
In this paper, we present a new method for a swarm to collectively sense and follow a gradient in the environment. The agents in the swarm only rely...
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Gradient and Related Operators
In a continuation of vectorVector(s)and tensor calculus and tensor calculus, this chapter mainly studies the actions of gradient , divergence and...
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Uniform decomposition of velocity gradient tensor
In this paper, the principal decomposition of the velocity gradient tensor [∇
v ] is discussed in 3 cases based on the discriminant ∆: ∆ < 0 with 1... -
Enhancing Writer Identification with Local Gradient Histogram Analysis
Writer identification is a critical aspect of document analysis and has significant implications in various domains, including forensics,...
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Comprehensive comparisons of gradient-based multi-label adversarial attacks
Adversarial examples which mislead deep neural networks by adding well-crafted perturbations have become a major threat to classification models....
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Gradient-Based Physics-Informed Neural Network
Physics-informed neural networks (PINNs) are one of the most effective tool of deep learning used for solving differential equation. However, one of...
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A Second Gradient Theory of Thermoelasticity
This paper is concerned with a linear theory of thermoelasticity without energy dissipation, where the second gradient of displacement and the second...
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Breast Cancer Prediction with Gradient Boost and XGBoost
In the arena of cancer research, it has been able to discover cancer patients utilizing genetic factor information grouped together with artificial...
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Numerical investigation of electrohydrodynamic conduction with a temperature gradient
In this work, we present a numerical investigation of the effect of a temperature gradient on the flow characteristics of electrohydrodynamic (EHD)...
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Research on impact isolation performance of cylindrical honeycomb pedestals considering gradient effect
The porous honeycomb is widely used in the field of impact energy absorption due to its high porosity and low density. However, traditional honeycomb...
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Geothermal Gradient in India—Comparison and Current Status
The increasing population and development of cities in India have increased the demand for energy in recent years. India has to improve its...
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Single-View 3D Reconstruction Based on Gradient-Applied Weighted Loss
There has been considerable research on reconstructing 3D shapes from single-view images; however, preserving the detailed information of the input...
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Robust Gradient Iterative Estimation Algorithm for ExpARX Models With Random Missing Outputs
This study presents a LookAhead-RAdam gradient iterative algorithm to identify ExpARX models with random missing outputs. The LookAhead-RAdam...