Message from the IWCMC 2011 chairs
Bibliographic record
Abstract
On behalf of the Technical Program Committee, we welcome all of you to the IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC 2011) in the beautiful campus of Bahcesehir University, Istanbul, Turkey! We are indeed delighted that this year's IEEE IWCMC accomplishes its goal under the conference theme “Making Wireless Communities,” and continues its tradition of providing the premier forum for presentation of research results and experience reporting on the cutting edge research in the general areas of wireless communications and mobile computing. This year, we received more than 1000 submissions from 51 countries worldwide. Each paper received at least three peer technical reviews, comprised of 49 Symposia Chairs/Co-Chairs and a total of more than 450 TPC members from academia, government laboratories, and industries. After carefully examining all the received review reports, the IEEE IWCMC 2011 TPC finally selected about 35% high-quality papers for presentation at the conference and publication in the IEEE IWCMC 2011 proceedings. The conference program starts on Monday July 4thwith a full day Tutorials that is free of charge to all our attendees. Then, each day starts with a keynote speaker chosen from renowned world-class leaders in the area-Dr. Rick Stevens, Dr. Mario Gerla, and Dr. Sajal Das, highlighting the latest research trends in the wireless communications, mobile computing, and networks. This year, the technical sessions reflect the continued and growing interests in a wide range of spectrum, including wireless communications and networks, cross-layer design and optimization, mobile computing, wireless sensor networks, network security, and use of wireless technologies in social emergency applications. We also added a special Workshop this year to address practical aspects of Wireless Communications and Mobile Computing, such as Multihop Wireless Network Testbeds and Experiments, Network and Communications for Advanced Society, and Federated Wireless Sensor Systems (FedSenS). There are five special sessions composed of invited papers from renowned experts from around the world. Outstanding papers will be selected for four Special Issues in well known international journals. Our objective in the future is to reduce the acceptance rate further to reach 30% and less. In addition, we would like to reduce the number of Symposia and Workshops as well to meet the conference theme.
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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.018 | 0.023 |
| Insufficient payload (model declined to judge) | 0.072 | 0.090 |
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".