Connected Internet of Things for Monitoring and Tracking of Endangered Whales
Bibliographic record
Abstract
Connected Internet of Things (CIoT) integrates Internet of Things (IoT) in different domains (e.g., spatial, aerial, terrestrial, and underwater). CIoT enables monitoring and tracking in remote and large geographic areas, such as the Earth's poles, forests, and oceans. In this article, we envision a CIoT system for the near-real-time monitoring of endangered whale species. In the envisioned system, very high-resolution images from satellites and Internet of CubeSats shall be used for the autonomous detection and location determination of endangered whales. The obtained locations shall be used to determine the trajectory of surface autonomous vessels that will temporarily deploy an Internet of aerial and underwater things for the near-real-time monitoring of detected whales. We discuss the main entities involved in the envisioned architecture, data flows, and communication paradigms needed to implement the proposed CIoT architecture and the challenges to empower the envisioned system. We also point out future research directions to be solved towards a CIoT system for whale monitoring.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".