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Enhancing cut selection through reinforcement learning
With the rapid development of artificial intelligence in recent years, applying various learning techniques to solve mixed-integer linear programming...
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Unfirm Foundations
In each of the three parts of this book we present a characteristic feature that highlights the state of mathematics in the corresponding period.
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Brief History of Topology I: Motivation of the Subject with Historical Development
The subject Topology has become one of the most exciting and influential fields of study in modern mathematics, because of its beauty and scope....
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Random vortex induced vibration response of suspended flexible cable to fluctuating wind
A popular dynamical model for the vortex induced vibration (VIV) of a suspended flexible cable consists of two coupled equations. The first equation...
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Introduction
This book is concerned with Quillen’s theory of model categories, one of the most powerful and influential computational tools in abstract homotopy...
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Forecasting and Modeling the Dynamics of Large-Scale Energy Networks Under the Supply and Demand Balance Constraint
With the emergence of “Big Data” the analysis of large data sets of high-dimensional energy time series in network structures have become feasible....
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Nonlocal Aspect of Piezoelectric Composite on Transmission of Mechanical Wave
This research article aims to conduct a more thorough examination of the effects of size on piezoelectric composites when subjected to Love-type...
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Superquantiles at Work: Machine Learning Applications and Efficient Subgradient Computation
R. Tyrell Rockafellar and his collaborators introduced, in a series of works, new regression modeling methods based on the notion of superquantile...
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Auditing and Debugging Deep Learning Models via Flip Points: Individual-Level and Group-Level Analysis
Deep learning models have been criticized for their lack of easy interpretation, which undermines confidence in their use for important applications....
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Analysing the Effect of Test-and-Trace Strategy in an SIR Epidemic Model
Consider a Markovian SIR epidemic model in a homogeneous community. To this model we add a rate at which individuals are tested, and once an...
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Catalysing cooperation: the power of collective beliefs in structured populations
Collective beliefs can catalyse cooperation in a population of selfish individuals. We study this transformative power of collective beliefs, an...
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Prediction Using Sentiment Analysis on Multi-domain Category: Stocks and Politics Using Twitter Repository
Twitter is a microblogging website and a large public database of various people, products, services, and businesses. The process of analyzing one’s...
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Visual Representations of Euclidean Geometry: Diagrammatic Reasoning in Oliver Byrne’s Work
Around the half of the nineteenth century the Irish mathematician and civil engineer Oliver Byrne published a peculiar version of Euclid’s Elements...
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House Price Prediction Using XG-Boost Grid Search and Cross-Validation Methods
The primary factors influencing the variation in housing prices in different locations are the characteristics of the housing and the conditions of...
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The Train of Artificial Intelligence
Artificial Intelligence appears every day on newspapers and magazines and is one of the rising research topics of the past ten years. The origins...
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Celebrity profiling through linguistic analysis of digital social networks
Digital social networks have become an essential source of information because celebrities use them to share their opinions, ideas, thoughts, and...
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Classification optimization for training a large dataset with Naïve Bayes
Book classification is very popular in digital libraries. Book rating prediction is crucial to improve the care of readers. The commonly used...
