On 14 January, we had the pleasure of hosting an in-person COSA project meeting at CUNBM UTCN,...
Publications
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and ClassificationMara...
Proud to Share Our Team’s Contributions at InnoComp 2025!
During 22–23 October, our colleagues Daniela Delinschi, Emil Pașca, Laura Andreica, Rareș Tamaian,...
Proud Moment for Our Team at InnoComp 2025!
We're happy to share that our colleague Bogdan Văduva represented our team at the InnoComp...
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land BonitationBogdan Văduva, Anca...
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...
Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart Agriculture
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart AgricultureEmil Marian...








