4.7 Article

Maintenance in airport infrastructure: A bibliometric analysis and future research directions

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

iSecureHome: A deep fusion framework for surveillance of smart homes using real-time emotion recognition

Harshit Kaushik et al.

Summary: With the rapid development of AI, IoT, and HCC, the popularity of smart homes has increased significantly. However, ensuring the security of residents in smart homes remains a challenging task. This research proposes a real-time facial emotion-based security framework that uses a CMOS camera to predict security concerns in smart homes. Experimental results show that the framework achieves high accuracy.

APPLIED SOFT COMPUTING (2022)

Article Computer Science, Artificial Intelligence

Learning with deep Gaussian processes and homothety in weather simulation

Lassana Coulibaly et al.

Summary: This paper proposes a learning method using Deep Gaussian Processes for probabilistic deep learning to analyze numerical prediction models, and an optimizer based on geometric transformation to transform simulated data to measured data. The method is tested on measurements of global radiation parameter and achieves satisfactory results with a significant reduction in error margin.

NEURAL COMPUTING & APPLICATIONS (2022)

Article Transportation

Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

Limon Barua et al.

Summary: This study proposes a machine learning and reinforcement learning-based approach for maintenance and rehabilitation (M & R) activity planning of airport pavement assets. The supervised machine learning method is used for pavement condition prediction, which can predict future pavement conditions more accurately without relying on a lot of prior assumptions. Similarly, reinforcement learning learns optimal action-value functions in a model-free environment. The application of this approach using real-world data demonstrates its effectiveness in reducing M & R costs.

INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY (2022)

Article Chemistry, Analytical

Predictive Maintenance in Building Facilities: A Machine Learning-Based Approach

Yassine Bouabdallaoui et al.

Summary: This paper introduces a predictive maintenance framework based on machine learning techniques to address the inefficiency and energy waste issues in building maintenance practices. By predicting failures using deep learning models and demonstrating the potential through a case study, the framework offers guidelines for implementing predictive maintenance approaches in buildings, while highlighting obstacles related to data availability and feedback collection.

SENSORS (2021)

Article Construction & Building Technology

Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model

Jiandong Huang et al.

ADVANCES IN CIVIL ENGINEERING (2020)

Article Multidisciplinary Sciences

Predicting disruptive instabilities in controlled fusion plasmas through deep learning

Julian Kates-Harbeck et al.

NATURE (2019)

Article Computer Science, Interdisciplinary Applications

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

Xiao Liang

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)

Article Operations Research & Management Science

Social media adoption and use for improved emergency services operations: the case of the NSW SES

Samuel Fosso Wamba et al.

ANNALS OF OPERATIONS RESEARCH (2019)

Article Computer Science, Interdisciplinary Applications

Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach

Yujin Park et al.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2019)

Article Computer Science, Interdisciplinary Applications

The industrial internet of things (IIoT): An analysis framework

Hugh Boyes et al.

COMPUTERS IN INDUSTRY (2018)

Article Engineering, Civil

A machine learning framework for assessing post-earthquake structural safety

Yu Zhang et al.

STRUCTURAL SAFETY (2018)

Article Computer Science, Interdisciplinary Applications

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

Xincong Yang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Computer Science, Interdisciplinary Applications

bibliometrix: An R-tool for comprehensive science mapping analysis

Massimo Aria et al.

JOURNAL OF INFORMETRICS (2017)

Article Computer Science, Interdisciplinary Applications

Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Computer Science, Software Engineering

Unsupervised 3D shape segmentation and co-segmentation via deep learning

Zhenyu Shu et al.

COMPUTER AIDED GEOMETRIC DESIGN (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Economics

Up in the air: the role of airports for regional economic development

Richard Florida et al.

ANNALS OF REGIONAL SCIENCE (2015)

Article Construction & Building Technology

Performance compromises of building-integrated and building-applied photovoltaics (BIPV and BAPV) in Brazilian airports

Clarissa D. Zomer et al.

ENERGY AND BUILDINGS (2013)

Proceedings Paper Transportation

Risk Assessment Around Airport

Laura Attaccalite et al.

SIIV-5TH INTERNATIONAL CONGRESS - SUSTAINABILITY OF ROAD INFRASTRUCTURES 2012 (2012)

Article Anatomy & Morphology

How to judge a book by its cover? How useful are bibliometric indices for the evaluation of scientific quality or scientific productivity?

Oliver von Bohlen Und Halbach

ANNALS OF ANATOMY-ANATOMISCHER ANZEIGER (2011)

Article Engineering, Civil

Critical Factors for Development of Airport Cities

Mauro Jose Aguiar Peneda et al.

TRANSPORTATION RESEARCH RECORD (2011)

Article Computer Science, Interdisciplinary Applications

Theory and practise of the g-index

Leo Egghe

SCIENTOMETRICS (2006)

Article Computer Science, Information Systems

RFID-based maintenance at Frankfurt Airport

C Legner et al.

IEEE PERVASIVE COMPUTING (2006)

Article Multidisciplinary Sciences

An index to quantify an individual's scientific research output

JE Hirsch

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)