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
Abstract On the behalf of the organizing committee of the 2 nd International Conference on Electronics, Electrical and Information Engineering (ICEEIE2022) held during August 12-15, 2022 in Changsha, Hunan, China. Due to the epidemic situation, there were travel restriction for every scholars who were linked with this event by using Zoom conference system, we enjoyed 3 keynote speeches and oral presentations made by the authors which lasted for 15 minutes each, a lot of inspiration sparked during the Q&A parts. The conference has provided a significant platform to encourage researchers, scholars, academician and practitioners to congregate for exchange of ideas and experiences from their work while identifying future directions of relevant areas. ICEEIE2022 promotes research and developmental activities in the field of Electronics, Electrical and Information Engineering. Researchers who have contributed their work to the conference shared their findings and experience with other researchers and attendee. Many attendees without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. With all contributions from the participants, 63 papers are final accepted from 140 submissions. Those accepted ones are well categorized into four sectors as follows:Communication engineering, Electrical engineering, Electronics, Information engineering. We wish to show our sincere appreciations to all individuals and organizations who have contributed to ICEEIE2022, especially those who did the review of all the submitted papers, dedicated their time and efforts in planning, promoting, organizing, and helping the conference. Also we must extend our thanks to our keynote speakers: Prof.Mohammad S. Obaidat from University of Sharjah, USA, who made speeches titled A New Learning Automata-Based Controller Placement Scheme for Software-Defined Network Systems, Prof. Witold Pedrycz from University of Alberta, Canada, who made speeches titled Developments in Federated Learning and Knowledge Transfer: Pursuits in Green and Granular Machine Learning, Prof. Claudio Cañizares from University of Waterloo, Canada, who made speeches titled Energy Storage Systems. We wish to show our special thanks to Hunan University of Finance and Economics, Hunan University of Technology, Hunan University of Arts and Science for support, they provided various platform to promote this conference with nice service. We are pretty sure that readers will benefit and get inspiration for their future work by using this volume, we will feel honorable to have your continuous attention and attendance for our next edition of ICEEIE. This project is funded by the scientific research project of Hunan Provincial Department of Education(21C1632). List of Committees are available in this pdf.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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