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.
Benefits and limitations of digitalization in managing European Social funded projects
Benefits and limitations of digitalization in managing European Social funded projectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. Digitalization is widely promoted as a solution for the administrative complexity of European Social Fund (ESF) projects, yet...
Exciting News from COSA! – Conferences in Salamanca
🎉 Exciting News from COSA! 🌟 Our talented researchers made major contributions in the SOCO-CISIS-HAIS conferences held in Salamanca, Spain! They presented a remarkable 15 research articles based on our groundbreaking COSA project. 📚 Learn about the latest advancements...
The COSA Project is on Fire! – 15 Research Papers
🔥 The COSA Project is on Fire! 🌟 Our incredible team just presented 15 research articles at the SOCO-CISIS-HAIS 2024 conferences based on the groundbreaking COSA project! 📚 From innovative agricultural solutions to cutting-edge technology, we're making significant...
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic algorithms
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic algorithmsCosmin Sabo, Bogdan Teglaș, Petrică C. Pop, Adrian Petrovan Abstract. The clustered minimum routing tree problem (CluMRTP) extends the classical minimum routing tree...
Augmenting API Security Testing with Automated LLM-Driven Test Generation
Augmenting API Security Testing with Automated LLM-Driven Test GenerationEmil Marian Pasca, Rudolf Erdei, Daniela Delinschi, Oliviu Matei Abstract. API security testing is an essential step in modern software development, but manually crafting comprehensive test...
Data Quality Assessment Methodology
Data Quality Assessment MethodologyDaniela Delinschi, Rudolf Erdei, Emil Pasca, Oliviu Matei Abstract. High-quality data is a precondition for reliable machine learning, analytics and decision support. This paper introduces a methodology for systematic data quality...
Privacy Assessment Methodology for Machine Learning Models and Data Sources
Privacy Assessment Methodology for Machine Learning Models and Data SourcesRudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Ionela Chereja, Oliviu Matei Abstract. The widespread use of machine learning amplifies privacy risks both at the level of training data...
Aggregation Strategy for Federated Machine Learning Algorithm
Aggregation Strategy for Federated Machine Learning AlgorithmRudolf Erdei, Daniela Delinschi, Iulia Băărăian, Oliviu Matei Abstract. Federated learning allows multiple parties to collaboratively train a model without sharing their raw data, but the quality of the...
Using Markov chains for determining the proximity contagion of smart specialization of localities
Using Markov chains for determining the proximity contagion of smart specialization of localitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Bogdan Văduva Abstract. Smart specialization strategies depend on understanding how economic specialization...
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European Union
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European UnionCarmen Anton, Anca Avram, Oliviu Matei, Laura Andreica, Bogdan Văduva Abstract. Accurate crop yield prediction is a key enabler of...
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest ClassificationOvidiu Cosma, Laura Cosma Abstract. Tomato crops are affected by a wide variety of diseases and pests that can dramatically reduce both yield and quality. This paper presents...
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an LLM-Enhanced Framework
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an LLM-Enhanced FrameworkEmil Marian Pasca, Rudolf Erdei, Daniela Delinschi, Oliviu Matei Abstract. Broken Object Level Authorization (BOLA) and authentication-related issues are...
A new vision of social behavior on genetic algorithm performance
A new vision of social behavior on genetic algorithm performanceAndreea Tatar, Nicolae Fat, Adrian Petrovan, Oliviu Matei Abstract. Genetic algorithms (GAs) are typically described in terms of mutation, crossover and selection, but the social dynamics that arise...
A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural products
A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural productsCosmin Sabo, Natanael Balogh, Petrică C. Pop, Adrian Petrovan Abstract. In this study, we tackle a local collection challenge,...
Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities
Using Machine Learning for Identifying the Intrinsic Economic Specializations of LocalitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Faragău Tudor Abstract. Identifying the intrinsic economic specialization of localities is a key step in the design of...
Embedding GIS in crop field bonitation computation
Embedding GIS in crop field bonitation computationBogdan Văduva, Oliviu Matei, Anca Avram, Laura Andreica Abstract. Crop field bonitation, the agronomic evaluation of land quality and agricultural potential, traditionally relies on tabular indicators that ignore the...
A comparative study of machine learning models for plant disease identification
A comparative study of machine learning models for plant disease identificationMăcelaru Mara, Petrică Pop, Jose Barata Abstract. Plant disease identification from images is a central task in precision agriculture, but the rapid evolution of machine learning makes it...
A Novel CNN Approach for Accurate Tomato Disease Classification
A Novel CNN Approach for Accurate Tomato Disease ClassificationOvidiu Cosma, Laura Cosma Abstract. Plant diseases pose significant threats to agriculture, leading to substantial yield losses worldwide. Tomato crops are particularly affected by a wide range of...
Design of a collaborative network for mapping digital skills for Industry 5.0
Design of a collaborative network for mapping digital skills for Industry 5.0Maria Gustavsson, Oliviu Matei, Laura Andreica, Agneta Halvarsson Lundkvist, Daniel Persson Thunqvist Abstract. The transition to Industry 5.0 brings new demands for the workforce, where...
Great energy at the COSA face-to-face meeting!
Great energy at the COSA face-to-face meeting! We were honoured to welcome our Project Manager Prof. Jose Barata all the way from Portugal to Romania for a productive in-person meeting in Baia Mare. Everyone presented their work, which resulted in some wonderful...
Progress Meeting — Use Cases and Research Directions Update
The COSA team reconvened for an internal progress meeting dedicated to the project use cases and to the consolidation of research directions across work packages. Team members reviewed the progress made since the previous coordination sessions, discussed the...
Call for Papers! – SOCO Conference Deadline Extension
Call for Papers! Exciting news! Due to popular demand and overwhelming interest, we are thrilled to announce an extension of the submission deadline for the SOCO (Soft Computing) Conference. The new deadline for paper submission is now May 15th. This extension...
Intelligent Models and Frameworks for Smart Argriculture and Green Economy (IMFSAGE) 2024
IMFSAGE Intelligent Models and Frameworks for Smart Agriculture and Green Economy Submission Deadline 1st May, 2024
Progress Meeting — Refining Use Cases and Research Directions
The COSA project team gathered for a progress meeting to refine the project use cases and to align on the next steps of the research roadmap. The agenda focused on the iterative definition of the use cases that will be validated during the project — including soil and...