The method of adaptive selection of a wireless access network in a heterogeneous environment based on the theory of fuzzy sets
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Bibliographic record
Abstract
The method of choosing a wireless access network in a heterogeneous environment based on the theory of fuzzy sets has been improved. This method allows for a centralized, well-founded decision to carry out a horizontal-vertical handover procedure based on a group of QoS-dependent criteria that depend directly on the properties of the radio interface of the network system. The method also allows adaptation decision-making rules, depending on different telecommunication conditions and network policies. A simulation model of the heterogeneous network has been developed. The model allows to automate investigation of the proposed method of selecting an access node based on the theory of fuzzy sets. The model enables configuration of a large number of simulation parameters using auxiliary mathematical models, in particular for describing and predicting user traffic processes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it