News & Events

Stay informed and engaged with the latest updates, breakthroughs, and community events surrounding the COSA project, your central hub for innovation and collaboration.

Proud to Share Our Team’s Contributions at InnoComp 2025!

by | November 5, 2025 | News | 0 Comments

During 22–23 October, our colleagues Daniela Delinschi, Emil Pașca, Laura Andreica, Rareș Tamaian, and Bogdan Văduva proudly represented our team by presenting their latest research at the InnoComp 2025 International Conference in Cluj-Napoca. They showcased...
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Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

by | October 5, 2025 | Publications | 0 Comments

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.

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Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation

by | October 5, 2025 | Publications | 0 Comments

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.

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COSA Weather Station – Smart Data for Smart Agriculture

by | June 19, 2025 | News | 0 Comments

As part of the COSA project, we’re using a dedicated agricultural weather station equipped with smart sensors to collect essential field data in real time. The station monitors key environmental parameters, including: Air temperature and humidity Soil moisture...
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COSA Project at InnoComp Conference!

by | May 31, 2025 | News | 0 Comments

We’re excited to announce that the COSA project will be presented at the InnoComp in the research panels sessions! This is a fantastic opportunity to showcase our work in smart agriculture, explore cutting-edge innovations, and engage with researchers and industry...
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COSA AGRIQ — Shaping the Future of Smart Agriculture

by | May 29, 2025 | News | 0 Comments

The COSA AGRIQ platform is an innovative initiative under the COSA project, designed to transform agriculture through the integration of advanced digital technologies such as artificial intelligence and IoT devices. Our team recently completed a preliminary validation...
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COSA at the CUNBM Research Workshop

by | April 15, 2025 | News | 0 Comments

On Wednesday, April 2nd, a research-focused workshop was held in the Senate Hall of CUNBM – UTCN, highlighting both ongoing and recently launched research projects within the university. The event brought together researchers from CUNBM, close collaborators from the...
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A Proud Achievement for the COSA Team!

by | March 24, 2025 | News | 0 Comments

Huge congratulations to Rudolf Erdei and Adrian Petrovan for receiving their official doctoral diplomas at the UTCN 2025 Research and Innovation Conference! Out of 74 new PhDs, two belong to our talented COSA team members. Their dedication to research and innovation...
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Intelligent Models and Frameworks for Smart Argriculture and Green Economy (IMFSAGE) 2024

by | March 11, 2024 | News | 0 Comments

IMFSAGE  Intelligent Models and Frameworks for Smart Agriculture and Green Economy Submission Deadline 1st May, 2024
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Season Greetings

by | December 24, 2023 | News | 0 Comments

Season's Greetings  - From COSA? As the winter chill embraces the fields, the Collaborative Framework for Smart Agriculture (COSA) project sends you the warmest wishes for the holiday season! This year, we've sown seeds of innovation and harvested a bounty of...
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COSA at the CUNBM Research Workshop

COSA at the CUNBM Research Workshop

by | Apr 15, 2025 |

On Wednesday, April 2nd, a research-focused workshop was held in the Senate Hall of CUNBM – UTCN, highlighting both ongoing and recently launched research projects within the university. The event brought together researchers from CUNBM, close collaborators from the...

A Proud Achievement for the COSA Team!

A Proud Achievement for the COSA Team!

by | Mar 24, 2025 |

Huge congratulations to Rudolf Erdei and Adrian Petrovan for receiving their official doctoral diplomas at the UTCN 2025 Research and Innovation Conference! Out of 74 new PhDs, two belong to our talented COSA team members. Their dedication to research and innovation...

Season Greetings

Season Greetings

by | Dec 24, 2023 |

Season's Greetings  - From COSA? As the winter chill embraces the fields, the Collaborative Framework for Smart Agriculture (COSA) project sends you the warmest wishes for the holiday season! This year, we've sown seeds of innovation and harvested a bounty of...

COSA workshop on Conference XGEN 2023

COSA workshop on Conference XGEN 2023

by | Dec 15, 2023 |

COSA Workshop  XGEN 2023 Exploring the Future of Computational Science: COSA Workshop XGEN 2023 - Unveiling Innovations in Cross-Generational Technologies and Strategies.Combining research, brainstorming, and networking..Title: Unveiling Innovations and Fostering...

Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks

Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks

by | Oct 15, 2023 |

Precipitation is the most important element of the water cycle and an indispensable element of water resources management. This paper aims to model the monthly precipitation in 8 precipitation observation stations. The effects and role of different feature weights pre-processing methods (Weight by deviation, Weight by PCA, Weight by correlation, and Weight by Support Vector Machine) on artificial intelligence modeling were investigated.