The peculiarities of the implementation 6G intelligent radio interface infrastructure, which will use an individual configuration for each subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting AI-enabled physical layer, MAC controller, protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) d...

In this article we bring forward a reflection on how data technology and artificial intelligence can improve the implementation of an evidence-based, data-driven, regulation. We start by arguing in favor evidence-base approach to regulation, meaning that policy making should be supported information expected observed impacts. reach position acknowledging that, one side, markets fail public inte...

The eye is impacted by several disorders, either directly or indirectly. As a result, exams are crucial component of general healthcare. One the effects diabetes diabetic retinopathy (DR), which affects blood vessels that supply and nourish retina causes severe visual loss. prevalent conditions consequence eyes retinopathy. symptoms may be absent minimal. It eventually result in blindness. Ther...

We present a novel application of the Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is a recent Swarm Metaheuristic technique based on the intelligent foraging behavior of honey bees. We present a 2-level metaheuristic approach where an Artificial Bee Colony Algorithm acts as a low-level metaheuristic and its paremeters are se...

This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques called: Instructional Planning (IP) and Case-Based Reasoning (CBR). Finally ALLEGRO is presented, a MAS environment of support to the teaching/...

Sometimes, in order to mature, a methodology operates outside the mainstream for a period of time; it becomes the mainstream methodology only after this phase. This happened, for example, with neural networks, which appeared in the early 60's, but became the mainstream in research only 25 years later, after the development of the backpropagation algorithm as its learning algorithm. It happened ...

In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure). Key-Words: neo-fuzzy models, oil system production, artificial gas lift wells, parameters estimation.

Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificia...