Bibliographic record
Abstract
It is highly delighted to introduce the proceedings dedicated to the 2020 International Conference on Applied Mechanics and Mechanical Engineering (ICAMME 2020), which was successfully held on Sep. 25-27, 2020 in Hulun Buir, China, and hosted by AEIC Academic Exchange Information Centre. ICAMME 2020 is to bring together innovative academics and industrial experts in the field of applied mechanics, mechanical engineering, electrical and automation engineering to a common forum. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. An ideal platform for seeking global partners had been established. About 60 participants from academic, high-education institutes and other organizations took part in the Conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. We were very honored to have Prof. Simon X. Yang from University of Guelph, Canada and Prof. Wei Min Huang from Nanyang Technological University, Singapore as our Chairman. In the keynote presentation part, we invited three professors as our keynote speakers. The first keynote speaker, Prof. Simon X. Yang, our beloved Chairman, shared a speech: Bioinspired Intelligent Approaches to Various Mechatronic Systems. In this talk, he started with a very brief introduction to biologically inspired computation and learning, and some bio-inspired computational techniques. After that, he presented several practical applications in engineering systems. The second keynote speaker, Prof. Wei Min Huang from Nanyang Technological University, Singapore. He delivered a speech: Morphing Via Shape Memory Materials and Technology. In this talk, he presented a brief introduction of various shape memory phenomena firstly. After that, he showed a range of morphing applications in aero/space missions, biomedical devices etc. utilizing shape memory alloy and shape memory polymer. Our finale keynote speaker, Prof. Junxi Bi, from Inner Mongolia University of Technology, China shared a speech on Reliability Analysis and Optimization of Key Parts of Low Pressure Cantilever Casting Machine. The proceedings present a selection of high-quality papers submitted to the conference by researchers from universities, research institutes, and industry. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on their quality and their relevance to the conference. The proceedings present recent advances in the fields of Applied Mechanics and Engineering Mechanics, Mechanical Engineering, Materials Science, Electrical and Automation Engineering and Other related research. I would like to express special gratitude to members of the conference committee and organizers of the conference. I would also like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings. Finally, I want to thank the authors, the members of the organizing committee, the reviewers, the chairpersons, sponsors, and all other conference participants for their support of ICAMME 2020. The Organizing Committee of ICAMME 2020 List of Committee member is 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.
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.478 | 0.354 |
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".