Journal of Infrastructure Systems - v. 30, n. 1 (mars 2024)

Publié:	mars 2024

Auteur(s)	Titre	Page(s)
Nyangon, Joseph	Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events
Taherkhani, Roohollah / Ashtari, Mohammad Amin / Aziminezhad, Mohamadmahdi	Digital Twin-Enabled Infrastructures: A Bibliometric Analysis-Based Review
Ali, Gasser G. / El-adaway, Islam H.	Distributed Solar Generation: Current Knowledge and Future Trends
Wallace, David W. / Foster, Lloyd / Schartau, Kris / Lewin, David / Keyes, Conrad G.	Empirical Risk Analysis Methodology for Adversarial Threats against Critical Infrastructure
Mendonça, David / Kijewski-Correa, Tracy / Esnard, Ann-Margaret / Ramírez, Julio / Olson, Julia F.	A Framework for Transitions in the Built Environment: Insights from Compound Hazards in the COVID-19 Era
Islam, Muhammad Saiful / Chowdhury, Saidur Rahman / Islam, Md. Maksudul	Fuzzy Approach for Evaluating Critical Factors in the Design and Construction of Conventional Wastewater Treatment Plants
Assaf, Ghiwa / Assaad, Rayan H. / Karaa, Fadi	Identifying the Opportunities and Challenges of Project Bundling: Modeling and Discovering Key Patterns Using Unsupervised Machine Learning
Evers, Elijah / Torres-Machi, Cristina	Impacts of Increased Prediction Accuracy in Management Decisions: A Study of Full-Depth Reclamation Pavements
Abdul Nabi, Mohamad / Assaad, Rayan H. / El-adaway, Islam H.	Modeling and Understanding Dispute Causation in the US Public–Private Partnership Projects
Li, Huimin / Liang, Mengxuan / Su, Limin / Cao, Yongchao / Zhang, Yu	Performance Evaluation of Water Environment Treatment PPP Projects Based on Multisource Spatiotemporal Data Fusion

Auteur(s)

Titre

Page(s)

Nyangon, Joseph

Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events

Taherkhani, Roohollah / Ashtari, Mohammad Amin / Aziminezhad, Mohamadmahdi

Digital Twin-Enabled Infrastructures: A Bibliometric Analysis-Based Review

Ali, Gasser G. / El-adaway, Islam H.

Distributed Solar Generation: Current Knowledge and Future Trends

Wallace, David W. / Foster, Lloyd / Schartau, Kris / Lewin, David / Keyes, Conrad G.

Empirical Risk Analysis Methodology for Adversarial Threats against Critical Infrastructure

Mendonça, David / Kijewski-Correa, Tracy / Esnard, Ann-Margaret / Ramírez, Julio / Olson, Julia F.

A Framework for Transitions in the Built Environment: Insights from Compound Hazards in the COVID-19 Era

Islam, Muhammad Saiful / Chowdhury, Saidur Rahman / Islam, Md. Maksudul

Fuzzy Approach for Evaluating Critical Factors in the Design and Construction of Conventional Wastewater Treatment Plants

Assaf, Ghiwa / Assaad, Rayan H. / Karaa, Fadi

Identifying the Opportunities and Challenges of Project Bundling: Modeling and Discovering Key Patterns Using Unsupervised Machine Learning

Evers, Elijah / Torres-Machi, Cristina

Impacts of Increased Prediction Accuracy in Management Decisions: A Study of Full-Depth Reclamation Pavements

Abdul Nabi, Mohamad / Assaad, Rayan H. / El-adaway, Islam H.

Modeling and Understanding Dispute Causation in the US Public–Private Partnership Projects

Li, Huimin / Liang, Mengxuan / Su, Limin / Cao, Yongchao / Zhang, Yu

Performance Evaluation of Water Environment Treatment PPP Projects Based on Multisource Spatiotemporal Data Fusion

Publicité

Journal of Infrastructure Systems - v. 30, n. 1 (mars 2024)

Articles dans ce numéro

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Journal of Infrastructure Systems - v. 30, n. 1 (mars 2024)

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

Données obligatoires

Vous avez dépassé votre limite de téléchargement mensuelle !

Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois.
Les utilisateurs·rices de Structurae Pro sont limités à 50.