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Image smog restoration using oblique gradient profile prior and energy minimization
Removing the smog from digital images is a challenging pre-processing tool in various imaging systems. Therefore, many smog removal (i.e.,...
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G20 and OECD Research Profile and Impact
In this chapter, we discuss the research profile of G20 and OECD countries and regions in terms of their COVID-19 research publication number,...
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Session based recommendation system using gradient descent temporal CNN for e-commerce application
In practice, the most important aspect has been to suggest items of interest to users based on their prior choices. In recent decades, recommendation...
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Representing dynamic textures based on polarized gradient features
Efficiently representing dynamic textures (DTs) is one of the significant challenges for video understanding in real implementations of computer...
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Semantic and Gradient Guided Scene Text Image Super-Resolution
Scene text image super-resolution (STISR) aims to improve image quality and enhance downstream recognition tasks. Although recent works has made...
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Gradient Acoustic Surfaces
While acoustics is a critical part of building performance, acoustic surfaces are often not integrated into a room’s architectural language....
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Iterative and mixed-spaces image gradient inversion attack in federated learning
As a distributed learning paradigm, federated learning is supposed to protect data privacy without exchanging users’ local data. Even so, the gradient...
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Two efficient three-term conjugate gradient methods for impulse noise removal from medical images
In this paper, we discuss two efficient three-term conjugate gradient methods ( ECG ) for impulse noise removal. The directions of ECG are first the...
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A regularized limited memory subspace minimization conjugate gradient method for unconstrained optimization
In this paper, based on the limited memory techniques and subspace minimization conjugate gradient (SMCG) methods, a regularized limited memory...
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Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA
In the underwater medium, the speed of sound varies with water depth, temperature, and salinity. The inhomogeneity of water leads to bending of sound...
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A comprehensive study on reinforcement learning application for train speed profile optimization
Optimizing energy consumption in public transportation systems is a severe issue as the cost of energy increases over time. Since a palpable part of...
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A new structured spectral conjugate gradient method for nonlinear least squares problems
Least squares models appear frequently in many fields, such as data fitting, signal processing, machine learning, and especially artificial...
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DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics
The implementation of differentiated Deep Neural Networks (DNNs), within a gradient-based optimization method in fluid mechanics, for predicting the...
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Enhancing Social Media Profile Authenticity Detection: A Bio-Inspired Algorithm Approach
In the contemporary digital landscape, the pervasive and far-reaching impact of online social networks is indisputable. Prominent platforms such as...
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Combining variable neighborhood with gradient ascent for learning to rank problem
Metaheuristic applications for information retrieval research are limited in spite of the importance of this problem domain. Ranking the retrieved...
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A Q-based policy gradient optimization approach for Doudizhu
Deep reinforcement learning (DRL) has recently been employed in various games, with which superhuman intelligence has been achieved, including Atari,...
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A convergence analysis of hybrid gradient projection algorithm for constrained nonlinear equations with applications in compressed sensing
In this paper, we propose a projection-based hybrid spectral gradient algorithm for nonlinear equations with convex constraints, which is based on a...
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Nonmonotone Quasi–Newton-based conjugate gradient methods with application to signal processing
Founded upon a sparse estimation of the Hessian obtained by a recent diagonal quasi-Newton update, a conjugacy condition is given, and then, a class...
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New proximal bundle algorithm based on the gradient sampling method for nonsmooth nonconvex optimization with exact and inexact information
In this paper, we focus on a descent algorithm for solving nonsmooth nonconvex optimization problems. The proposed method is based on the proximal...
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Giza pyramids construction algorithm with gradient contour approach for multilevel thresholding color image segmentation
Segmentation is an essential processing step in computer vision. As a popular method in image segmentation, the pivotal of multilevel thresholding...
