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Enregistrement W4255138951 · doi:10.1088/1742-6596/2031/1/011001

Preface

2021· article· en· W4255138951 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Physics Conference Series · 2021
Typearticle
Langueen
DomaineComputer Science
ThématiqueWireless Signal Modulation Classification
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)ChinaOrder (exchange)Public relationsPolitical scienceLibrary scienceComputer scienceBusinessLaw

Résumé

récupéré en direct d'OpenAlex

It is over one year since COVID-19 broke out. The whole world is still struggling against the virulent pandemic COVID-19. It is still difficult to take international travel. Many conferences are held virtually, for the sake of protecting all the participants and conference staff from get infected by the virus. It is uncertain when the COVID-19 will end, so it remains unclear for postponement time, while many scholars and researchers wanted to attend this long-waited conference and have academic exchanges with their peers. Therefore, in order to actively respond the call of the government, and meet author’s request, 2021 2nd International Conference on Signal Processing and Computer Science (SPCS 2021), which was planned to be held in Qingdao, China from August 20 to 22, was changed to be held online through Zoom software. This approach not only avoids people gathering, but also meets their communication needs. The SPCS 2021 was organized by AEIC Academic Exchange Information Center. It dedicated to create a platform for academic communications between specialists and scholars in the fields of Signal Processing and Computer Science. The conference created a path to establish a research relation for the authors and listeners with opportunities for collaboration and networking among the universities and institutions for promoting research and developing technologies. The conference brings together about 90 well-known scholars in the field of Signal Processing and Computer Science at home and abroad. The reports were divided into keynote speeches, oral presentations, and poster presentations to share their latest research results and experiences in related research fields. In the first part, each keynote speakers were allocated 30 minutes to present their talks via Zoom. After the keynote talks, all participants joined in a WeChat communication group to discuss more about the talks and presentations. We were greatly honor to have invited seven distinguished experts as our keynote speakers. Prof. Roberto Montemanni, from University of Modena and Reggio Emilia, Italy was the first one to perform a thought-provoking speech: Artificial Intelligence Applications in Logistics. And then we had Assoc. Prof. Lingling An, from Xidian University, China. She presented an insightful speech: Enhancement Mechanism of Cerebellar Neural Network Dynamics. Prof. Xinsong Yang, from Sichuan University, China. He made a wonderful speech: Synchronization And Control for Differential Equations with Discontinuous State on the Right-Hand Sides. Prof. Xinhua Tang, from Southeast University, China. His research topics include GNSS receiver techniques, GNSS/INS integrated navigation system, Multi-source integration systems, Precision agriculture, Autonomous vehicles etc. Prof. Haibin Zhu, from Nipissing University, Canada. He delivered a speech: E-CARGO and Role-Based Collaboration. Assoc. Prof. Marcin Paprzycki, from Systems Research Institute, Polish Academy of Sciences, Poland. His original research interests were in the area of high performance computing / parallel computing / computational mathematics. Over time, they shifted towards intelligent systems, software agents and agent systems, and application of semantic technologies, among others. Our finale keynote speaker, Prof. Hoshang Kolivand, from Liverpool John Moores University, UK was invited to perform a speech: Current and Future of Directions of Augmented and Virtual Reality. Their insightful speeches had triggered heated discussion in the third session of the conference. The WeChat discussion lasted for about 30 minutes. Every participant praised this conference for disseminating useful and insightful knowledge. We are glad to share with you that we received lots of submissions from the conference and we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Signal Processing, Applications of Signal Processing, Communication and Broadband Networks, Computational Science and other relevant directions. All the papers have been through rigorous review and process to meet the requirements of international publication standard. We would like to thank the organization staff, the members of the program committees and reviewers. They have worked very hard in reviewing papers and making valuable suggestions for the authors to improve their work. We also would like to express our gratitude to the external reviewers, for providing extra help in the review process, and the authors for contributing their research result to the conference. Lastly, we would like to warmly thank all the authors who, with their presentations and papers, generously contributed to the lively exchange of scientific information that is so vital to the endurance of scientific conferences of this kind. Committee of SPCS 2021 List of titles Committee member are available in this Pdf.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,517
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,001
Communication savante0,0050,004
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,4830,328

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,254
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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