Millimetre‐wave multi‐view near‐field scattering tomography system
Bibliographic record
Abstract
In a previous study by Shahir et al. , the permittivity profile of object under test (OUT) from electric fields measured outside OUT is accurately estimated by considering the region of interest confined within the boundary of the OUT. This study proposes a continuous‐wave multi‐view near‐field scattering tomography system at the millimetre‐wave frequency range and reformulates the sub‐space approach for reconstructing the continuous‐wave tomographic images while considering the region of interest beyond the OUT boundary. The OUT reconstructed tomographic images enable one to localise the OUT boundaries. The proposed system also eliminates the need for fully systemic isolation (i.e. anechoic chamber) or water as a background medium by reducing multipath effects substantially at millimetre wave. The system performance is evaluated by reconstructing the tomographic images of various samples, and the experimental results are presented.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".