Applications of artificial intelligence in transport: An overview

R Abduljabbar, H Dia, S Liyanage, SA Bagloee - Sustainability, 2019 - mdpi.com
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …

On implementing 2D rectangular assignment algorithms

DF Crouse - IEEE Transactions on Aerospace and Electronic …, 2016 - ieeexplore.ieee.org
This paper reviews research into solving the two-dimensional (2D) rectangular assignment
problem and combines the best methods to implement a k-best 2D rectangular assignment …

The alignment problem from a deep learning perspective

R Ngo, L Chan, S Mindermann - arXiv preprint arXiv:2209.00626, 2022 - arxiv.org
In coming decades, artificial general intelligence (AGI) may surpass human capabilities at
many critical tasks. We argue that, without substantial effort to prevent it, AGIs could learn to …

[图书][B] The Navier-Stokes problem in the 21st century

PG Lemarié-Rieusset - 2018 - taylorfrancis.com
Up-to-Date Coverage of the Navier–Stokes Equation from an Expert in Harmonic Analysis
The complete resolution of the Navier–Stokes equation—one of the Clay Millennium Prize …

Certifying the restricted isometry property is hard

AS Bandeira, E Dobriban, DG Mixon… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper is concerned with an important matrix condition in compressed sensing known as
the restricted isometry property (RIP). We demonstrate that testing whether a matrix satisfies …

[图书][B] Artificial superintelligence: a futuristic approach

RV Yampolskiy - 2015 - books.google.com
This book is designed to become a foundational text for the new science of AI safety
engineering. While specific predictions regarding the consequences of an intelligence …

[HTML][HTML] A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems

C Tu, R Bai, U Aickelin, Y Zhang, H Du - Expert Systems with Applications, 2023 - Elsevier
In recent years, deep reinforcement learning has shown great potential in solving computer
games with sequential decision-making scenarios. Hyper-heuristic is a generic search …

Predicting host CPU utilization in the cloud using evolutionary neural networks

K Mason, M Duggan, E Barrett, J Duggan… - Future Generation …, 2018 - Elsevier
Abstract The Infrastructure as a Service (IaaS) platform in cloud computing provides
resources as a service from a pool of compute, network, and storage resources. One of the …

[图书][B] The tower of Hanoi-Myths and maths

AM Hinz, S Klavžar, U Milutinović, C Petr - 2013 - Springer
The British mathematician Ian Stewart pointed out in [395, p. 89] that “Mathematics intrigues
people for at least three different reasons: because it is fun, because it is beautiful, or …

NP-completeness in hedonic games

C Ballester - Games and Economic Behavior, 2004 - Elsevier
In this paper, we show that there are natural limitations in attaining stability in cooperative
environments. These limitations are related to the fact that the time required to obtain a …