Dear Authors,
We are very pleased to announce the winners of the 2018 Mathematics Best Paper Award. Six research articles were selected by the journal award committee according to their originality and significance as well as citation and download rates in 2019 (Web of Science). Each nomination was examined by the committee members, who expressed their preferences as a ranking from which the winners of the 2018 Mathematics Best Paper Award were determined.
The award recipients will each receive a certificate and an offer to publish a paper free of charge in Mathematics, subject to the normal peer review procedure. Each paper will additionally receive a bonus based on the award class. The winners are as follows:
First Award (one research paper), 500 CHF
Numerical Solution of Fractional Differential Equations: A Survey and a Software Tutorial
Author: Roberto Garrappa, Italy
Mathematics 2018, 6(2), 16; https://doi.org/10.3390/math6020016
Available online: https://www.mdpi.com/2227-7390/6/2/16
Second Award (two research papers), 300 CHF each
Numerical Solution of Multiterm Fractional Differential Equations Using the Matrix Mittag–Leffler Functions
Author: Marina Popolizio, Italy
Mathematics 2018, 6(1), 7; https://doi.org/10.3390/math6010007
Available online: https://www.mdpi.com/2227-7390/6/1/7
Data Driven Economic Model Predictive Control
Authors: Prashant Mhaskar, Canada and Masoud Kheradmandi, Canada
Mathematics 2018, 6(4), 51; https://doi.org/10.3390/math6040051
Available online: https://www.mdpi.com/2227-7390/6/4/51
Third Award (three research papers), 100 CHF each
Computation of Probability Associated with Anderson–Darling Statistic
Authors: Lorentz Jäntschi, Romania and Sorana D. Bolboacă, Romania
Mathematics 2018, 6(6), 88; https://doi.org/10.3390/math6060088
Available online: https://www.mdpi.com/2227-7390/6/6/88
Approximate Dynamic Programming Based Control of Proppant Concentration in Hydraulic Fracturing
Authors: Harwinder Singh Sidhu, USA, Prashanth Siddhamshetty, USA and Joseph S. Kwon, USA
Mathematics 2018, 6(8), 132; https://doi.org/10.3390/math6080132
Available online: https://www.mdpi.com/2227-7390/6/8/132
Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing
Authors: Wee Chin Wong, Singapore, Ewan Chee, Singapore, Jiali Li, Singapore and Xiaonan Wang, Singapore
Mathematics 2018, 6(11), 242; https://doi.org/10.3390/math6110242
Available online: https://www.mdpi.com/2227-7390/6/11/242
We congratulate the authors and thank them for selecting Mathematics to publish their work.
Eligibility and Requirements
In this paper, a new one-dimensional fractional chaotic map is proposed and an image encryption scheme based on parallel DNA coding is designed by using the chaotic map. The mathematical model of the new chaotic system combines a sine map and a fract...
Accurate and real-time forecasting of the price of oil plays an important role in the world economy. Research interest in forecasting this type of time series has increased considerably in recent decades, since, due to the characteristics of the time...
In this paper, we present a comprehensive mathematical analysis of the hallucination phenomenon in generative pretrained transformer (GPT) models. We rigorously define and measure hallucination and creativity using concepts from probability theory an...
We develop an approach for two-player constraint zero-sum and nonzero-sum stochastic differential games, which are modeled by Markov regime-switching jump-diffusion processes. We provide the relations between a usual stochastic optimal control settin...
In this paper, we deduce a predator–prey model with discrete time in the interior of R+2 using a new discrete method to study its local dynamics and Neimark–Sacker bifurcation. Compared with continuous models, discrete ones have many uniq...
Despite the availability and ease of collecting a large amount of free, unlabeled data, the expensive and time-consuming labeling process is still an obstacle to labeling a sufficient amount of training data, which is essential for building supervise...
Francisco Chiclana
Juan Torregrosa
Antonio Di Crescenzo
Manuel De Leon
Sergei Petrovskii
Niansheng TangGet Alerted
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