Search Results - "Mathematics (Basel)"

COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach by Pinter, Gergo, Felde, Imre, Mosavi, Amir, Ghamisi, Pedram, Gloaguen, Richard

“…Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak…”
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Numerical Solution of Fractional Differential Equations: A Survey and a Software Tutorial by Garrappa, Roberto

“…Solving differential equations of fractional (i.e., non-integer) order in an accurate, reliable and efficient way is much more difficult than in the standard…”
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An Extended SEIR Model with Vaccination for Forecasting the COVID-19 Pandemic in Saudi Arabia Using an Ensemble Kalman Filter by Ghostine, Rabih, Gharamti, Mohamad, Hassrouny, Sally, Hoteit, Ibrahim

“…In this paper, an extended SEIR model with a vaccination compartment is proposed to simulate the novel coronavirus disease (COVID-19) spread in Saudi Arabia…”
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Classification of Monkeypox Images Based on Transfer Learning and the Al-Biruni Earth Radius Optimization Algorithm by Abdelhamid, Abdelaziz A, El-Kenawy, El-Sayed M, Khodadadi, Nima, Mirjalili, Seyedali, Khafaga, Doaa Sami, Alharbi, Amal H, Ibrahim, Abdelhameed, Eid, Marwa M, Saber, Mohamed

“…The world is still trying to recover from the devastation caused by the wide spread of COVID-19, and now the monkeypox virus threatens becoming a worldwide…”
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Changes in Consumers’ Purchase Patterns as a Consequence of the COVID-19 Pandemic by Valaskova, Katarina, Durana, Pavol, Adamko, Peter

“…The current COVID-19 pandemic has affected every aspect of consumer behavior—their expenses, investments, and financial reserves, as well as their financial…”
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Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods by Nosratabadi, Saeed, Mosavi, Amirhosein, Duan, Puhong, Ghamisi, Pedram, Filip, Ferdinand, Band, Shahab, Reuter, Uwe, Gama, Joao, Gandomi, Amir

“…This paper provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is…”
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A Survey on Blockchain Consensus with a Performance Comparison of PoW, PoS and Pure PoS by Lepore, Cristian, Ceria, Michela, Visconti, Andrea, Rao, Udai Pratap, Shah, Kaushal Arvindbhai, Zanolini, Luca

“…Blockchain technology started as the backbone for cryptocurriencies and it has emerged as one of the most interesting technologies of the last decade. It is a…”
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Credit Card Fraud Detection Using a New Hybrid Machine Learning Architecture by Malik, Esraa Faisal, Khaw, Khai Wah, Belaton, Bahari, Wong, Wai Peng, Chew, XinYing

“…The negative effect of financial crimes on financial institutions has grown dramatically over the years. To detect crimes such as credit card fraud, several…”
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A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model by Zaheer, Shahzad, Anjum, Nadeem, Hussain, Saddam, Algarni, Abeer D., Iqbal, Jawaid, Bourouis, Sami, Ullah, Syed Sajid

“…Financial data are a type of historical time series data that provide a large amount of information that is frequently employed in data analysis tasks. The…”
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Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study by Nadimi-Shahraki, Mohammad H, Taghian, Shokooh, Mirjalili, Seyedali, Abualigah, Laith

“…Medical technological advancements have led to the creation of various large datasets with numerous attributes. The presence of redundant and irrelevant…”
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A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning by Saadatfar, Hamid, Khosravi, Samiyeh, Joloudari, Javad Hassannataj, Mosavi, Amir, Shamshirband, Shahaboddin

“…The K-nearest neighbors (KNN) machine learning algorithm is a well-known non-parametric classification method. However, like other traditional data mining…”
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A Regularity Criterion in Weak Spaces to Boussinesq Equations by Agarwal, Ravi P., Gala, Sadek, Ragusa, Maria Alessandra

“…In this paper, we study the regularity of weak solutions to the incompressible Boussinesq equations in R 3 × ( 0 , T ) . The main goal is to establish the…”
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An Improved Wild Horse Optimizer for Solving Optimization Problems by Zheng, Rong, Hussien, Abdelazim G., Jia, He-Ming, Abualigah, Laith, Wang, Shuang, Wu, Di

“…Wild horse optimizer (WHO) is a recently proposed metaheuristic algorithm that simulates the social behavior of wild horses in nature. Although WHO shows…”
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Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms by Liang, Weizhang, Luo, Suizhi, Zhao, Guoyan, Wu, Hao

“…Predicting pillar stability is a vital task in hard rock mines as pillar instability can cause large-scale collapse hazards. However, it is challenging because…”
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A New Fuzzy MARCOS Method for Road Traffic Risk Analysis by Stanković, Miomir, Stević, Željko, Das, Dillip Kumar, Subotić, Marko, Pamučar, Dragan

“…In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total…”
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Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data by Nadimi-Shahraki, Mohammad H., Fatahi, Ali, Zamani, Hoda, Mirjalili, Seyedali

“…Many metaheuristic approaches have been developed to select effective features from different medical datasets in a feasible time. However, most of them cannot…”
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Survey on Synthetic Data Generation, Evaluation Methods and GANs by Figueira, Alvaro, Vaz, Bruno

“…Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the…”
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Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams by Saadatmorad, Morteza, Talookolaei, Ramazan-Ali Jafari, Pashaei, Mohammad-Hadi, Khatir, Samir, Wahab, Magd Abdel

“…Discrete wavelet transform is a useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother…”
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Fractional-Order Discrete-Time SIR Epidemic Model with Vaccination: Chaos and Complexity by He, Zai-Yin, Abbes, Abderrahmane, Jahanshahi, Hadi, Alotaibi, Naif D., Wang, Ye

“…This research presents a new fractional-order discrete-time susceptible-infected-recovered (SIR) epidemic model with vaccination. The dynamical behavior of the…”
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Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review by Chan, Jireh Yi-Le, Leow, Steven Mun Hong, Bea, Khean Thye, Cheng, Wai Khuen, Phoong, Seuk Wai, Hong, Zeng-Wei, Chen, Yen-Lin

“…Technologies have driven big data collection across many fields, such as genomics and business intelligence. This results in a significant increase in…”
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