Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Bibliographic record
Abstract
Welcome to Montreal and MSWiM 2005, the Eighth ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems.We have an exciting program consisting of 48 high quality of papers on several aspects of wireless communication and mobile networking, such as wireless multimedia, ad hoc routing, sensor networks, and performance modeling and analysis of wireless and mobile systems.We wish to thank Carla-Fabiana Chiasserini and Vikram Srinivasan, TPC Co-Chairs and their team who have worked really hard for putting together an excellent program. The contributions of the external referees are very much appreciated.The three-day event consists of technical sessions, Poster and Demos Sessions, and two keynote addresses from well-known experts in the field. We would like to thank Prof. Ian Akyildiz (Georgia Institute of Technology, USA) and Prof. Catherine Rosenberg (University of Waterloo, Canada) for agreeing to deliver these addresses.In addition to the Technical Program, MSWiM 2005 also has several workshops and two tutorials on IP QoS over wireless and intermittently connected mobile ad hoc networks. We are happy to see that the workshop on Performance Evaluation of Wireless Ad hoc, Sensor and Ubiquitpus Networks (PE-WASUN) is again held jointly with MSWiM. Two other workshops on wireless multimedia networking, and QoS and Security for heterogeneous wireless and mobile networks (Q2SWinet) are also being organized. We believe that these workshops will continue to grow and attract more attention in the years to come. They promise to be very interesting, so please don't miss them.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.048 | 0.017 |
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".