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Local Binary Pattern Regrouping for Rotation Invariant Texture Classification
This paper represent a deep study of the Local Binary Pattern (LBP) method and its variants of patterns regrouping , which is largely used in texture classification as well in other domain. The analysis of LBP’s two hundred...
A New Hybrid Model of Deep Learning ResNeXt-SVM for Weed Detection
A set of experiments has shown that deep learning as well as traditional learning can be used in the weed detection process and perform well, although sometimes these models cannot fully exploit and utilize the long-term...
Linear and Equivalent-Linear Direct Transfer of Bedrock Response Spectrum to Free Surface
The aim of this study is to develop a method based on a theoretical background that can evaluate directly the response spectrum of a soil profile at the surface from a specified bedrock response spectrum. One-dimensional ground...
Hate Speech Detection Using Text Mining and Machine Learning
Automatic hate speech detection on social media is becoming an outstanding concern in modern countries. Indeed, hate speech towards people brings about violent acts and social chaos; hence, law prohibits it, and it engenders...
A Deep Autoencoder-Based Hybrid Recommender System
Recommender systems build their suggestions on rating data, given explicitly or implicitly by users on items. These ratings create a huge sparse user-item rating matrix which opens two challenges for researchers on the field....
Emerging spin-phonon coupling through cross-talk of two magnetic sublattices.
Many material properties such as superconductivity, magnetoresistance or magnetoelectricity emerge from the non-linear interactions of spins and lattice/phonons. Hence, an in-depth understanding of spin-phonon coupling is at the...
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Emerging spin-phonon coupling through cross-talk of two magnetic sublattices.
Many material properties such as superconductivity, magnetoresistance or magnetoelectricity emerge from the non-linear interactions of spins and lattice/phonons. Hence, an in-depth understanding of spin-phonon coupling is at the...
Published by:
Modeling Financial Supply Chain Planning Under COVID-19 Conditions for Working Capital Optimization Through Genetic Algorithm
The coordination of physical flows, information flows and financial flows is nowadays essential to guarantee economic profitability and ensure the company's sustainability. Time differences between physical operating flows and...
A Multi-Analytical Approach to Investigate the Motivations of Sustainable Green Technology in the Banking Industry
Sustainability has become the global need for survival in all scopes due to financial development's side effects that have resulted in environmental destruction. The world leaders have proposed green banking (GB) to reduce...