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Game-Based Language Learning in Technological Contexts
In the COVID-19 pandemic, delivering learning content to students via the use of technologies has become mainstream. Among various technology-supported learning modes, game-based language learning (GBLL) has been considered an...
An Evaluation Study of User Authentication in the Malaysian FinTech Industry With uAuth Security Analytics Framework
Soo Tan, Gwo Chung
Jan 01, 2023
The increased cyberattack frequency and ferocity have alerted the fintech industry in detecting existential security threats and risks. Various authentication mechanisms have been deployed to countermeasure cyberattacks; whether...
Opposition-Based Multi-Tiered Grey Wolf Optimizer for Stochastic Global Optimization Paradigms
Researchers are increasingly using algorithms that are influenced by nature because of its ease and versatility, the key components of nature-inspired metaheuristic algorithms are investigated, involving divergence and adoption...
Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction
Meta-heuristic algorithms have been widely used in deep learning. A hybrid algorithm EO-GWO is proposed to train the parameters of long short-term memory (LSTM), which greatly balances the abilities of exploration and...
Research on Data Classification Method of Optimized Support Vector Machine Based on Gray Wolf Algorithm
The data classification method based on support vector machine (SVM) has been widely used in various studies as a non-linear, high precision, and good generalization ability machine learning method. Among them, the kernel...
Thinking About Globalizaton as an Integration Process
Hugh Dang, Jen Ma
Apr 30, 2023
For a long time, many studies have been involved with the globalization research among academia, business practitioners, and policy analysts. It is highly controversial on what globalization is about. Scholars and experts...
A Prediction Model for Electric Vehicle Sales Using Machine Learning Approaches
The electric vehicle (EV) market is booming, but EV market trends vary by region. This study draws on the environmental, economic, and human development factors of 31 countries to predict sales of EVs. Based on machine learning...
A Hybrid Approach for Enhancing the Classification Accuracy for Diabetes Disease
This paper proposes a new training algorithm for artificial neural networks based on an enhanced version of the grey wolf optimizer (GWO) algorithm. The proposed model is used for classifying the patients of diabetes disease....
Water-resistant perovskite nanodots enable robust two-photon lasing in aqueous environment.
Owing to their large absorption cross-sections and high photoluminescence quantum yields, lead halide perovskite quantum dots (PQDs) are regarded as a promising candidate for various optoelectronics applications. However, easy...
Published by: Nature Communications
High Performance Implementation of Neural Networks Learning Using Swarm Optimization Algorithms for EEG Classification Based on Brain Wave Data
EEG analysis aims to help scientists better understand the brain, help physicians diagnose and treatment choices of the brain-computer interface. Artificial neural networks are among the most effective learning algorithms to...
Water-resistant perovskite nanodots enable robust two-photon lasing in aqueous environment.
Owing to their large absorption cross-sections and high photoluminescence quantum yields, lead halide perovskite quantum dots (PQDs) are regarded as a promising candidate for various optoelectronics applications. However, easy...
Published by:
Dualities from dualities
Abstract It is an interesting question whether a given infra-red duality between quantum field theories can be explained in terms of other more elementary...
Published by:
Callous-Unemotional Traits and Antisocial Behavior in South Korean Children
Callous-unemotional (CU) traits have been associated with atypical responses to reward and punishment cues, with evidence suggesting that such traits may shape caregiver use of reward and punishment practices over time. To date...
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Monopole deformations of 3d Seiberg-like dualities with adjoint matters
We propose new 3d N = 2 Seiberg-like dualities by considering various monopole superpotential deformations on 3d N = 2 U(Nc) SQCDs with fundamental and adjoint matter fields. We provide nontrivial evidence of these new dualities...

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