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Enregistrement W4254577511 · doi:10.1088/1742-6596/1927/1/011001

Preface

2021· article· en· W4254577511 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Physics Conference Series · 2021
Typearticle
Langueen
DomaineComputer Science
ThématiqueIoT and Edge/Fog Computing
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

Abstract 2021 International Conference on Cloud Computer, IoT and Intelligence System (CCIIS2021) is rescheduled to be held virtual via Tencent Meeting due to Covid-19. CCIIS2021 aims to provide a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Cloud Computer, IoT and Intelligence System. Sincerely thanks for your paper submissions and support to CCIIS2021 conference. We, CCIIS2021 organizing committee, pay high attention to epidemic prevention and control under the general environment of normalized epidemic situation. We are committed to protecting the safety of all authors and attendees. CCIIS2021 is held virtual via Tencent Meeting on April 11, 2021, in which all interested attendee can choose to make presentation in this virtual form. In order to avoid the uncertainties of online meeting, including software operation and network stability, etc., our staff set the test room for attendees before formal opening for the keynote speaker and representatives to test their audio, video and check the stability of network connection state. CCIIS2021 virtual meeting mainly contain Keynote Speech, Oral Presentations, Q & A Sections and Poster Presentations. Dr. Hamed Taherdoost from Hamta Academy Research and Development Manager at OBS Tech Limited, Canada gave wonderful speech on Blockchain & Cyber Security from 09:20-10:10, April 11, 2021, even though there is 9-hour time difference. Prof. Ankush Ghosh from The Neotia University, India record his speech video about Artificial Intelligence for Future Generation Robotics. And the attendees made 10-20 mins oral presentations and poster presentations. Here are 78 paper submissions related to Cloud Computer, IoT and Intelligence System for peer reviewed by the Technical Program Committee. They established strict reviewing requirements and acceptance criteria. All paper submissions after removing authors’ information were assigned to 2-3 reviewers with similar research interests, and selected papers will be detected the instances of overlapping and similar text via iThenticate software. Plagiarism in any form is not allowed. We accept 30 papers eventually for publication in the Journal of Physics: Conference Series. Here are 3 main parts in CCIIS2021 proceedings according to professional guidance of Publication Chairs and the main aspects of papers including Cloud Computer, IoT and Intelligence System. Sincerest appreciation to all the active authors with innovative research findings, Journal of Physics: Conference Series with effective publication for excellent paper submissions, all the members and reviewers in CCIIS2021 Technical Program Committee with careful reviewing and overwhelming response. We truly hope you can enjoy the conference and benefit a lot from experience sharing and exchanging onsite. Sincerely looking forward for the future cooperation with you. CCIIS2021 Organization Committees General Chairs Prof. Igor Ivitskyi, National Technical University, Ukraine Prof. Ming An Chung, National Taipei University of Technology, Taiwan Prof. Valentin Mateev, Technical University of Sofia, Bulgaria Publication Chairs Prof. Luís Manuel Cerqueira Barreto, Instituto Politécnico de Viana do Castelo (IPVC), Portugal Prof. S. Balakrishnan, Sri Krishna College of Engg & Technology (Autonomous), Inida Dr. S. PALANIVELRAJAN, M.Kumarasamy College of Engineering, India Publication Co-Chairs Dr. Hamed Taherdoost, OBS Tech Limited, Canada Prof. Seifedine Kadry, Noroff University College, Norway International Scientific Committees Dr. M. MADHIARASAN, Bharat Institute of Engineering and Technology, India Dr. Ivan Izonin, Lviv Polytechnic National University, Ukraine Prof. Shahram Babaie, Islamic Azad University, Iran Dr. Saša Ćuković, University of Kragujevac, Serbia Prof. Popa Ioan-Lucian, “1 Decembrie 1918” University of Alba Iulia, Romania Dr. Elżbieta Macioszek, Silesian University of Technology, Poland Dr. Ganesh S. kamble, Kolhapur Institute of Technology’s College of Engineering, India Prof. Vineet Jain, Mewat Engineering College, India Prof. Zhauyt Algazy, Almaty University of Power Engineering and Telecommunication, Kazakhstan Dr. Sumit Kushwaha, Kamla Nehru Institute of Technology, India Prof. Adnène Arbi, University of Carthage, Tunisia Prof. Daniela LITAN, Hyperion University, Romania Dr. Yasin POLAT, Nevsehir Haci Bektas Veli University, Turkey Prof. Gheorghe Grigoras, “Gheorghe Asachi” Technical University of Iasi, Romania Dr. Mohamed El Amine SLIMANI, University of Science and Technology “USTHB”, Algeria Prof. Jagdish Chandra Patni, School of Computer Science, University of Petroleum and Energy Studies Dehradun, India Prof. Davood Akbari, University of Zabol, Iran Prof. Paria Assari, Islamic Azad University, Hamedan, Iran Prof. Hasan AYDOGAN, Selcuk University, Turkey Dr. Mustafa Salam Kadhm, Imam Ja’afar Al-Sadiq University, Iraq Prof. Mark J. Jackson, Kansas State University, USA Dr. Mehdi Nazari Cheraghlou, Consultative Institute Tehran, Iran Prof. Shadi Abudalfa, University College of Applied Sciences, Palestine Dr. Mustafa Salam, Imam Ja’afar Al-Sadiq University, Iraq Prof. Bogdan MOCAN, Technical University of Cluj-Napoca, Romania Dr. Ha Huy Cuong Nguyen, Danang of University, Vietnam Dr. Ayush Dogra, CSIR-CSIO, Chandigarh, India Dr. Hugo Miguel A. L. F. da Silva, University of Minho, Portugal Prof. Siddhartha Chatterjee, Gargi Memorial Institute of Technology, India Prof. Patrick S.P. Wang, Northeastern University, USA Dr. Isidoros Perikos, University of Patras, Greece Prof. Taher Rajab Kaddar, Damascus University, Syrian Arab Republic Prof. Loai Aljerf, Damascus University, Syria Prof. Wei Xie, Institute of Disaster Prevention, China Prof. Dariusz Jacek Jakóbczak, University of Gdansk, Poland Dr. Karlos Stamatis, University of Patras, Greek Prof. Giedre Streckiene, Vilnius Gediminas technical university, Lithuania Prof. Muhammad Ishaq, The University of Agriculture Peshawar, Pakistan Prof. Grigoras Gheorghe, The “Gheorghe Asachi” Technical University of Iasi, Romania Prof. Andrés Honrubia-Escribano, University of Castilla-La Mancha, Spain Dr. Razika Ihaddadene, Med Boudiaf University, Algeria Reviewer List Prof. Igor Ivitskyi, National Technical University, Ukraine Prof. Ming An Chung, National Taipei University of Technology, Taiwan Prof. Valentin Mateev, Technical University of Sofia, Bulgaria Prof. Luís Manuel Cerqueira Barreto, Instituto Politécnico de Viana do Castelo (IPVC), Portugal Prof. S. Balakrishnan, Sri Krishna College of Engg & Technology (Autonomous), Inida Dr. S. PALANIVELRAJAN, M. Kumarasamy College of Engineering, India Dr. Hamed Taherdoost, OBS Tech Limited, Canada Prof. Seifedine Kadry, Noroff University College, Norway Dr. M. MADHIARASAN, Bharat Institute of Engineering and Technology, India Dr. Ivan Izonin, Lviv Polytechnic National University, Ukraine Prof. Shahram Babaie, Islamic Azad University, Iran Dr. Saša Ćuković, University of Kragujevac, Serbia Prof. Popa Ioan-Lucian, “1 Decembrie 1918” University of Alba Iulia, Romania Dr. Elżbieta Macioszek, Silesian University of Technology, Poland Dr. Ganesh S. kamble, Kolhapur Institute of Technology’s College of Engineering, India Prof. Vineet Jain, Mewat Engineering

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)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,615
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0030,001
Communication savante0,0060,004
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,6150,457

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 Opus0,028
Tête enseignante GPT0,245
Écart entre enseignants0,216 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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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