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...
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...
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...
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...
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...
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...
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...
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....
In Order to Succeed Essay Power of Human Self-Interest: Man vs. Car In Setterich Wandering Wanda Maybe Kitchens Saltiness Homecoming Perfect Sincerely, Jen A Midterm and a Paper Prophet Junkie Soundless...
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...
Identifying genetic variants associated with circulating protein concentrations (protein quantitative trait loci; pQTLs) and integrating them with variants from genome-wide association studies (GWAS) may illuminate the...
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...
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...
AbstractIt is an interesting question whether a given infra-red duality between quantum field theories can be explained in terms of other more elementary...
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...
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...