On an Sir Epidemic Model for the COVID-19 Pandemic and the Logistic Equation by Manuel De la Sen, Asier Ibeas

“…In particular, the Malthusian parameter is related to the growth rate of the infection solution while the carrying capacity is related to its maximum reachable value. …”
Get full text

MODE: A Multi-Objective Strategy for Dynamic Task Scheduling through Elastic Cloud Resources by Mina Yazdanbakhsh, Reihaneh Khorsand Motlagh Isfahani, Mohammadreza Ramezanpour

“…Minimizing makespan and deadline violation on a great number of tasks are difficult while costs are reduced. Therefore, in this paper, a multi-objective strategy for dynamic task scheduling through elastic cloud resources (MODE) is proposed, where an algorithm is proposed to construct individual non-dominated sets of new received tasks. …”
Get full text

Simulation and Optimization of Fatigue Life of Carbon-Epoxy Composite Sub Frame by Roohollah Talebitoot, Seyedmahdi Seyedraoufi

“…In the present work, fatigue failure was determined based on Lessard and Shokrieh progressive model in composite sub-frame subjected to fatigue loading in its service life, and a genetic algorithm was used to find the optimum stacking sequence to achieve maximum fatigue life. …”
Get full text

A new tool to detect financial data scaling by Sergio Bianchi, Augusto Pianese, Massimiliano Frezza, Daniele Angelini

“…A Matlab-based algorithm is built that provides as output a dynamical estimation of the pairwise self-similarity of the scaled distributions. …”
Get full text

Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map by Weishuai Wu, Yujiao Dong, Guangyi Wang

“…In conclusion, the proposed algorithm satisfies imperceptibility requirements while demonstrating formidable robustness.…”
Get full text

Collision-inducing method for UAV evasive maneuvers based on receding horizon optimization by Haonan Tang, Zhigong Tang, Gong Chen, Jifeng Guo

“…The obstacle potential field-based target selection algorithm was employed to identify the most appropriate target obstacle, while the induced trajectory was determined through a combination of receding horizon optimization and the hp-adaptive pseudo-spectral method. …”
Get full text

Collocation ranking: frequency vs semantics by Nikola Ljubešić, Nataša Logar, Iztok Kosem

“…The results were somewhat inconsistent; while the quantitative evaluation confirmed that the machine-learning-based approach produced better collocate ranking results than the frequency-based one, lexicographers in most cases considered the listings of collocates of both methods very similar. …”
Get full text

Optimization of Bandwidth Allocation and UAV Placement in Active RIS-Assisted UAV Communication Networks with Wireless Backhaul by Thi-Thuy-Minh Tran, Binh-Minh Vu, Oh-Soon Shin

“…In this paper, we present a novel design for unmanned aerial vehicle (UAV) communication networks with wireless backhaul, where an active reconfigurable intelligent surface (ARIS) is deployed to improve connections between a UAV and multiple users, while mitigating channel impairments in complex environments. …”
Get full text

Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…However, data encryption, while ensuring privacy and security, has also become a means for illegal content to evade network supervision. …”
Get full text

Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in osteoarthritis by integrating bioinformatics and machine learning by Tianyang Li, Jinpeng Wei, Hua Wu, Chen Chen

“…ObjectiveExosomes as important carriers of intercellular communication have frequently appeared in recent studies related to osteoarthritis (OA), while the specific mechanism of exosome action in osteoarthritis remains unclear. …”
Get full text

Enconv1d Model Based on Pseudolite System for Long-Tunnel Positioning by Changgeng Li, Yuting Zhang, Changshui Liu

“…However, in confined indoor environments such as kilometer-long tunnels, where vehicles move at high speeds, traditional pseudolite algorithms struggle to establish accurate physical models linking signals to spatial domains. …”
Get full text

Earthquake Design of Reinforced Concrete Buildings Using NSGA-II by Herian A. Leyva, Edén Bojórquez, Juan Bojórquez, Alfredo Reyes-Salazar, José H. Castorena, Eduardo Fernández, Manuel A. Barraza

“…For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. …”
Get full text

Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

“…Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data. …”
Get full text

Shadows aspect of rotating black holes in the Einstein-AdS SU(N)-nonlinear sigma model by Mohsen Fathi, Yassine Sekhmani

“…These observations offer a means to distinguish between general relativity and modified gravity theories while providing insights into the astrophysical properties of the observed black holes. …”
Get full text

Mechanism and optimization study of bandgap regulation in three-component hexagonal lattice phononic crystals by Bao-hua Yu, Li-ming Lin, Hua-wei Ji

“…The lower bandgap boundary is primarily influenced by the scatterer’s mass, while the upper boundary is determined by the mass of the matrix. …”
Get full text

The Classical Model of Type-Token Systems Compared with Items from the Standardized Project Gutenberg Corpus by Martin Tunnicliffe, Gordon Hunter

“…For most items, the Heaps’ index correlates strongly with the low frequency Zipf index in a manner consistent with classical theory, while the high frequency indices are largely uncorrelated. …”
Get full text

Enhanced mm-Wave Frequency Up-Conversion via a Time-Varying Graphene Aperture on a Cavity Resonator by Stamatios Amanatiadis, Theodosios Karamanos, Fabrice Lemoult, Nikolaos V. Kantartzis

“…A modified FDTD algorithm is, additionally, used to simulate the time-varying graphene behaviour under different modulation schemes. …”
Get full text

Predicting neuronal firing from calcium imaging using a control theoretic approach. by Nicholas A Rondoni, Fan Lu, Daniel B Turner-Evans, Marcella Gomez

“…Leveraging modeling frameworks from chemical reaction networks (CRN) coupled with a control theoretic approach, a new algorithm is presented leveraging a fully deterministic ordinary differential equation (ODE) model. …”
Get full text

Examination the effects of Stefan blowing on chemical reactive flow of hybrid nanofluid over an infinite disk with Cattaneo-Christove heat flux model by Munawar Abbas, Nargis Khan, M. S. Hashmi, Shahram Rezapour, Mustafa Inc

“…The findings show that while fluid flow increases as the Stefan blowing factor rises, temperature, heat, and mass transmission rate decrease.…”
Get full text

Signal detection of massive MIMO systems using LSTM-based signal detectors for beyond 5G radio by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The conventional zero force equalizer (ZFE), Maximum likelihood detection (MLD), Minimum mean square error (MMSE), and so on upsurge the complexity while detecting the signal. In this article, we proposed a signal detection algorithm based on a long short-term memory (LSTM) neural network known as MLD-LSTM, MMSE-LSTM, and ZFE-LSTM for MIMO frameworks (16 X 16, 256 X 256, and 512 X 512). …”
Get full text