Handbook of Engineering Electromagnetics, Edited by Rajeev Bansal, Marcel Dekker, Inc. 2004, 720 pages, $116.96, ISBN: 0-8247-5628-2
Bibliographic record
Abstract
When I received this book from the Editor of our Journal and glanced at it, I thought that this was another addition to our rich library of classical electromagnetics with definitions and concepts.However, I soon realized that this is a delightful and quick desk reference for graduate students, academic researchers, and industrial practitioners working in the broad area of engineering electromagnetics, which serves as a bridge or middle ground between standard applied electromagnetic theory textbooks and more specialized technical references.In fact, this book is intended to be useful to engineers engaged in electromagnetic applications in a variety of professional settings, as described in the book's Preface.Different from the classical electromagnetic textbooks, this book allows the readers to ''review the necessary electromagnetic theory in the context of specific applications, gain an appreciation for the key electromagnetic terms and parameters, learn how to apply the theory to formulate engineering problems, and obtain guidance to the specialized literature for additional details,'' as promised by the editor, Rajeev Bansal.Numerous tables and graphs as well as more than 900 current references are integrated into the presentation of technical content and discussions.''Handbook of Engineering Electromagnetices'' is organized into 18 chapters with three appendices, which are written by 22 recognized experts in the field.Each chapter is in fact prepared by one or more authors in a self-contained manner without loss of continuity in general technical presentation from beginning to end.The first seven chapters present a wide range of fundamental electromagnetic concepts, including coverage of Maxwell's equations, static fields, electromagnetic induction, waves, transmission lines, waveguides, and resonators.Chapters 8 and 9 discuss basic antenna concepts as well as the operating principle and performances of typical rep-
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.072 | 0.076 |
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".