On the achievable resolution from microwave tomography
Bibliographic record
Abstract
Microwave tomography (MWT) is an electromagnetic imaging modality that is actively being investigated for different biomedical and industrial non-destructive testing applications. In MWT, the quantitative dielectric profile of the object of interest (OI) is to be found from scattered microwave data collected outside the object. This is achieved by processing the scattered data using an appropriate inversion algorithm, which effectively solves the associated electromagnetic inverse scattering problem. The achievable image resolution from an MWT system is governed by several parameters including those of the OI itself. For example, experimental separation resolution levels ranging from one-thirtieth to one-eighth of a wavelength have been reported from an MWT system, depending on the object being imaged (Gilmore, et. al., IEEE AWPL, 2009). Similar resolution studies can also be found in (S. Semenov, et. al., IEEE MTT, 2000) and (T. Cui, et. al., IEEE TAP, 2004) and in their references.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".