Anniversary Editorial–<i>Intelligent Automation and Soft Computing</i>is Twenty Years Old
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
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsMo JamshidiMo M. Jamshidi (Fellow IEEE, Fellow ASME, A. Fellow-AIAA, Fellow AAAS, A. Fellow TWAS, Fellow NYAS, Member HAE) received BS in EE, Oregon State University, Corvallis, OR, USA in June 1967, the MS and Ph.D. degrees in EE from the University of Illinois at Urbana-Champaign, IL, USA in June 1969 and February 1971, respectively. He holds honorary doctorate degrees from University of Waterloo, Canada, 2004 and Technical University of Crete, Greece, 2004 and Odlar Yourdu University, Baku, Azerbaijan, 1999. Currently, he is the Lutcher Brown Endowed Distinguished Chaired Professor at the University of Texas, San Antonio, TX, USA. He has been an advisor to NASA (including 1st MARS Mission), USAF Research Laboratory, USDOE and EC/EU (Brussels). He has advised over 60 MS and nearly 50 PhD students. He has over 680 technical publications including 68 books (12 text books), research volumes, and edited volumes in English and a few foreign languages. He is the Founding Editor or co-founding editor or Editor-in-Chief of 5 journals including IEEE Control Systems Magazine and the IEEE Systems Journal. He is an Honorary Professor at Deakin University (Australia), Birmingham University (UK), Obuda University (Hungary), and at three Chinese Universities (Nanjing and Xi'an, China). He has received numerous honors and awards, including IEEE Centennial Medal, IEEE Millennium Awards, the IEEE's Norbert Weiner Research Achievement Award, and IEEE-USA Award for professional contributions to Systems Engineering, among others. He is a member of the University of the Texas System Chancellor's Council since 2011. He is currently involved in research on system of systems engineering with emphasis on cloud computing, robotics, UAVs, biological and sustainable energy systems, including smart grids.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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