Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method

Kibria, Abu SMG; Seekamp, Erin; Xiao, Xiao; Dalyander, Soupy; Eaton, Mitchell

doi:10.1016/j.crm.2024.100587

Climate Risk Management

2024

DOI: 10.1016/j.crm.2024.100587

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Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method

Abu SMG Kibria,

Erin Seekamp,

Xiao Xiao

et al.

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Cited by 6 publications

References 84 publications

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Design and Implementation of Node Degree Centrality Computing of Network Security Database Based on Knowledge Graph

Wu,

2025

Security and Privacy

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With the development and popularization of network technology, network security issues are increasingly being valued. The application of knowledge graph technology in network security can significantly enhance the level of protection, assist users and relevant departments in understanding overall trends of network security vulnerabilities, and swiftly identify and respond to security threats. To improve the analysis and response capabilities to network security threats, developing methods for identifying key nodes in the network is urgent. This research focuses on the degree centrality calculation method for nodes in a network security database based on knowledge graphs. We propose a novel approach for computing node degree centrality within a knowledge graph‐based network security database. The method comprises two main components: weight calculation and score calculation. Additionally, we have developed a node importance ranking module based on a network security knowledge graph derived from the CVE database, providing a faster and more accurate solution compared to manual methods. We then discuss the significant application value and promising development prospects of the knowledge graph‐based node degree centrality calculation method in the field of network security protection in future work.

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Design and Implementation of Node Degree Centrality Computing of Network Security Database Based on Knowledge Graph

Wu,

2025

Security and Privacy

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Comparison of Support-promotional services and ethics of farmers factors toward the producing organic products in northwest of Iran

Abdi,

Abedi,

Abedi

2024

Environ Dev Sustain

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Çanakkale Florasında Doğal Olarak Yetişen Bazı Geofit Türlerinin Süs Bitkisi Olarak Kullanılabilirliğinin AHP ve TOPSIS Yöntemi ile Değerlendirilmesi

Gür,

Kahraman

2024

Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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21. yüzyılda süs bitkisi yetiştiriciliğinde yeni bitki türlerinin süs bitkisi olarak kullanılabilirliği oldukça önem kazanmıştır. Geofitler; süs bitkisi çatı kavramının içerisinde yer alan, toprak altı yapıları ile değişim geçirerek gelişim gösteren soğan, rizomlu, yumrulu bitkiler olarak tanımlanabilir. Bu çalışmada Çanakkale ili florasında doğal olarak yetişen bazı geofit bitkilerinin süs bitkisi olarak kullanılabilirliği değerlendirilmiştir. Literatür taramaları ile Çanakkale ili florasında doğal olarak yetişen 58 geofit türü belirlenmiştir. Daha sonrasında bu 58 tür içerisinde süs bitkisi olarak kullanıma en uygun 5 tür AHP ve TOPSIS yöntemleri kullanılarak kantitatif bir şekilde belirlenmiştir. Yöntemler sonucunda en ideal olarak belirlenen 5 tür sırasıyla; Cyclamen hederifolium Aiton, Doronicum orientale Hoffm., Sternbergia lutea (L.) Ker Gawl. ex Spreng., Anemone blanda (Schott & Kotschy) Holub, Muscari latifolium J.Kirk olarak belirlenmiştir. İdeal noktaya en uzak türün Valeriana dioscoridis Sm. olduğu tespit edilmiştir. Yöntemlerin sonuçlandırılmasından sonra AHP ve TOPSIS yönteminde yapılan sıralamanın tutarlılığının test edilmesi amacıyla duyarlılık analizi gerçekleştirilmiştir. Duyarlılık analizi sonucunda yapılan sıralamaların tutarlı olduğu belirlenmiştir. Çalışmanın nihai sonucunda ise belirlenen bu 5 bitki türünün farklı yetiştirme ortamlarında deneysel olarak da uygunluğunun belirlenmesinin literatüre katkı sağlayacağı tavsiye edilmiştir.

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Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method

Cited by 6 publications

References 84 publications

Design and Implementation of Node Degree Centrality Computing of Network Security Database Based on Knowledge Graph

Design and Implementation of Node Degree Centrality Computing of Network Security Database Based on Knowledge Graph

Comparison of Support-promotional services and ethics of farmers factors toward the producing organic products in northwest of Iran

Çanakkale Florasında Doğal Olarak Yetişen Bazı Geofit Türlerinin Süs Bitkisi Olarak Kullanılabilirliğinin AHP ve TOPSIS Yöntemi ile Değerlendirilmesi

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