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COVID-19 Combating Strategies and Associated Variables for Its Transmission: An Approach with Multi-Criteria Decision-Making Techniques in the Indian Context
The virus COVID-19 is regarded as infectious and has been classified as a pandemic. Each country is taking precautions to lessen the rate of...
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Applications of WKB and Fokker–Planck Methods in Analyzing Population Extinction Driven by Weak Demographic Fluctuations
In large but finite populations, weak demographic stochasticity due to random birth and death events can lead to population extinction. The process...
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Clustering of Countries Based on the Associated Social Contact Patterns in Epidemiological Modelling
Mathematical models have been used to understand the spread patterns of infectious diseases such as coronavirus disease 2019 (COVID-19). The...
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Inferring Stochastic Rates from Heterogeneous Snapshots of Particle Positions
Many imaging techniques for biological systems—like fixation of cells coupled with fluorescence microscopy—provide sharp spatial resolution in...
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Actuarial Fairness in Pension Systems: An Empirical Evaluation for Italy Using an OLG Model
The Italian pension system underwent two major reforms, in 1995 and 2011, encompassing a long transitional phase from defined benefit to notional...
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Study and Research on Autism Spectrum Disorder Using Supervised Machine-Learning Techniques
Machine learning (ML) is embedded in everyday life and is used around the world by various organizations and in various fields. It has brought about...
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Advanced Analytics for Ethical Considerations in Mining Industry
Advanced analytics and AI technologies are driving digital transformation in the mining industry. Although these technologies are delivering results,...
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A Deep Learning Approach to Credit Scoring Using Credit History Data
AbstractThe paper discusses an approach to credit scoring of retail customers in the banking industry. The approach is based on the development of...
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Multimodal Deep Learning
Multimodal deep learning has gained significant attention and shown great promise in various domains, including medical, manufacturing, Internet of...
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MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
AbstractWe present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform. In contrast to...
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Development of an Agent-Based Optimization Model for the Human Capital Market
The article considers a multi-agent optimization model of human capital markets: education, healthcare, recreation, labor. The agent’s problem of a...
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Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network
The medicine development process is expensive, challenging, and time needed. Computational model-based classifiers have been employed to overcome...
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Modeling of Transport Processes in the Optimization and Functioning of the Transport Space
The most characteristic tasks of the organization of transport space for almost any type of transport are the tasks of choosing a network of traffic...
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Oscillations
It is well known that some important properties of nonlinear equations can be determined through qualitative analysis. The general theory and...
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A Design System for Scalable Agent-Based Models with Multi-Stage Interactions of Agents Forming Social Connections
AbstractThe MÖBIUS agent-based models (ABM) design system is presented, which allows creating efficiently scalable models with the number of agent...
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An Across-Season Model
Our purpose in this chapter is to address a significant time-scale discrepancy between the models studied in Chaps. 11...
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Use of Regression Algorithm for Bike Ride Sharing Demand Projection
Bike-sharing systems are becoming an increasingly popular means of transportation in areas of urban populations around the world. Accurate prediction...
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A Methodological Proposal to Model and Evaluate the Complexity of the Mexican Geo-Electoral System
In order to determine the complexityComplexity of the Mexican geo-electoral system, this research analyzes the factors that influence the processes...
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Modeling in Biology
This chapter presents the most fundamental concepts of mathematical modeling. There is an initial section that introduces parameters, followed by a...