Green University Using Cloud Based Internet of Things Model for Energy Saving
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The research was conducted to study and develop a Green University using Cloud based Internet of Things model for energy saving. The aims of this study were 1) to study and design 2) to evaluate a model of Green University using Cloud based Internet of Things for energy saving. There are two phases of the research method. The first phase included the model design: 1) to study, analyze, and synthesize the contents, 2) to develop a process model of Green University using Cloud based Internet of Things, 3) to present the constructed model, and 4) to conclude the results. The second phase is referred to an evaluation of the model. Nine experts from Green University’s Electrical, Information Technology, and university management team were included in the research as sample group. Then, the data were analyzed by standard deviations and means. The model development process has 3 components that include 10 procedures. This model helps to energy saving. As the overall model was shown at a very good level, the experts agreed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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