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Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problem

Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problem

Platform — Local Producer Marketplace, Publications, UC3 — Local Producer Marketplace

Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problem Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problemCosmin Sabo, Petrică C....
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation

A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation

Platform — Land Bonitation, Publications, UC1 — Crop Yield & Land Bonitation

A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land BonitationBogdan Văduva, Anca Avram, Oliviu Matei, Laura Andreica, Teodor Rusu Abstract. Traditional land bonitation, the...
Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Publications

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in...
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation

Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation

Publications, UC1 — Crop Yield & Land Bonitation

Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation Trend-Enabled Recommender System with Diversity Enhancer for Crop RecommendationIulia Baraian, Rudolf Erdei, Rares Tamaian, Daniela Delinschi, Emil Pasca, Oliviu Matei Abstract. Achieving...

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