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.
Intelligent Models and Frameworks for Smart Argriculture and Green Economy (IMFSAGE) 2024
IMFSAGEĀ Intelligent Models and Frameworks for Smart Agriculture and Green Economy Submission Deadline 1st May, 2024
COSA Project ā First Meeting of 2024
If you believed we were still on vacation, you should know that we began work on the COSA project in 2024. Our first progress meeting of the year was a hive of creative debate, suggesting the beginning of something amazing. We are all set to continue our journey of...
Season Greetings
Season's GreetingsĀ - 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...
Significant Upgrade Alert! ā COSA Project Website
Significant Upgrade Alert! Our project website has just received a makeover with fresh updates and valuable content. Explore the latest developments, insights, and resources by visiting COSA project website. Stay connected and follow us for regular updates on our...
COSA workshop on Conference XGEN 2023
COSA WorkshopĀ 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...
Final Progress Meeting of 2023
Today, we held our final progress meeting of 2023, and it was a deep dive into insightful discussions about our use cases. Each use case owner rocked the presentation, sharing the latest status and the state of the art in their domain. Stay tuned for some thrilling...
Exciting Update! ā COSA Progress Meeting
Exciting Update! Our most recent progress meeting, held on November 8th, was really productive. We brainstormed novel concepts for the future of smart agriculture, with a particular focus on the promising landscapes of the Transylvania Plateau. The meeting's...
Wonderful News! ā COSA Project Launch
Wonderful News! Collaborative Framework for Smart Agriculture (COSA), our project concept, is intended to change the farming business. Our multidisciplinary team of computer scientists, engineers, mathematicians and agricultural scientists, is ready to build an IoT...
Our Journey Began ā The COSA Project
š± Our journey began! The COSA project ā Collaborative Framework for Smart Agriculture ā is now officially underway. Our team is ready to push the boundaries of agricultural innovation through IoT, AI, and smart technologies. Follow our page for updates on this...
Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks
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.
A Comparison of different crossover operators in genetic algorithms for clusters shortest-path tree problem
The clustered shortest-path tree (CluSPT) problem is an extension of the classical shortest path problem, given a graph with the nodes partitioned into several mutually exclusive and collectively exhaustive clusters looks for a shortest-path spanning tree from a predefined source node to all the other nodes of the graph, with the property that every cluster should generate a connected subgraph.
A comprehensive survey on the generalized traveling salesman problem
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.