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Enregistrement W4390197831 · doi:10.1002/aisy.202300862

Advancing into the Future with Intelligent Systems

2023· article· en· W4390197831 sur OpenAlex

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Notice bibliographique

RevueAdvanced Intelligent Systems · 2023
Typearticle
Langueen
DomaineEngineering
ThématiqueModular Robots and Swarm Intelligence
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImpact factorNeuromorphic engineeringComputer scienceDeclarationReputationAnalyticsCitationCommitArtificial intelligenceTable of contentsData scienceEngineering managementWorld Wide WebEngineeringArtificial neural networkPolitical science

Résumé

récupéré en direct d'OpenAlex

Welcome to the 6th volume of Advanced Intelligent Systems! Our premium journal had a great year in 2023, firmly establishing itself in the community as a platform to publish and read the best research on topics ranging from robotics to artificial intelligence and machine learning to neuromorphic engineering. Thanks to our board members, authors, reviewers, and readers, Advanced Intelligent Systems has built an extremely solid reputation, which is reflected in its bibliometric indicators. The 2022 impact factor of the journal, released in June by Clarivate Analytics, was 7.4, which places AISY among Q1 journals in two JCR categories: Computer Science - Artificial Intelligence (34/145), and Automation & Control (9/65). Highly cited papers have contributed the most to these successful results. The highest-cited articles published in 2021 and 2022 are included in Table 1 . Recent Progress in Transistor-Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System (Review) However, impact factor is no longer the primary metric reported by Wiley journals anymore. As an advocate for responsible research assessment, Wiley signed the Declaration on Research Assessment (DORA) in May 2022 to formally commit to diverse measurement of impact and contribution. We now include additional metrics to our journals’ homepages and promotional materials aiming to provide a well-rounded view of the value and impact of any author's contribution to the field. Advanced Intelligent Systems covers timely topics that are not only of interest to scientists and engineers but are also closely followed by the general public. Since the launch of the journal, several papers published in the journal have been highlighted by social media platforms and news outlets. This trend continued in 2023 and is reflected in the Altmetric scores of several of our articles (Table 2 ). Advanced Intelligent Systems promotes an inclusive open communication platform for connecting readers, authors, reviewers, editors, and board members with the content and tools they need, which has led Advanced Intelligent Systems to be an excellent home for articles with publication based on scientific novelty and interest. The open access publication model undoubtedly increases the visibility of the published articles. More details about open access advantages can be found here. Moreover, your open access article publication charge (APC) may be covered by your institution, you can check the eligibility for funding here, visit the Ensure Funder Compliance and Funder Agreements for more information. Our promotional activities to enhance the visibility of the journal and its papers continued in 2023. Articles published in Advanced Intelligent Systemsare regularly picked up by the editors of our partner news platform, Advanced Science News, and highlighted on their website and Twitter account. Additionally, highlights of the journal shared via our own Twitter account have received noticeable attention from the community. The most out- standing papers published in Advanced Intelligent Systems are identified by the journal's editors and collected in the Editors' Choice virtual issue on Wiley Online Library. In addition the regular issue, a video featuring a selection of the best content is released, providing additional visibility to the articles and their authors (see the full gallery HERE). Advanced Intelligent Systems was active in the community last year as the organiser and sponsor of several events: the Best Poster prize at SOMMeRS: Southern Ontario Medical MicroRobotics Symposium, the Best Robot Demonstration Award/Best Poster Prize at Bio-inspired Soft Aerial Robotics Workshop at IEEE Robosoft 2023. Additionally, the journal organised the second edition of the online symposium “Photonics & Advanced Intelligent Systems Workshop” in conjunction with the Institute of Photonic Chips at the University of Shanghai for Science and Technology, China (see the recording HERE). Several topics that fall within the multi-disciplinary scope of Advanced Intelligent Systems were highlighted in 2023 through special issues and special sections on (Figure 1 ): 1) “Recent Advances in Space Robotics” guest-edited by Hamid Marvi (Arizona State University), and 2) “Energy Storage and Delivery in Robotics” guest-edited by Mihai Duduta (University of Toronto) Special issues on Soft Robotics Across Scales, Soft Aerial Robotics, and Artificial Intelligence, Data Analysis and Optimisation for Complex Systems will be published this year. Advanced Intelligent Systems has continued to publish interactive content in its Smart Supporting Information or Interactive Preprints collections on the Authorea platform. These projects enable our authors to publish interactive and data-driven figures, executable and responsive codes, and 3D structures alongside their papers. Further, the interactive preprints are online just a couple of days after submission, which brings greater visibility to the papers. The project has received increasing attention in the last couple of years. We are going to streamline the process even further this year, giving our authors the opportunity to submit interactive content in a faster and easier way. To help standardise data reporting, our editorial teams continue to develop submission checklists that become part of our submission process for new Research Articles. Each checklist indicates what we consider the most essential parameters that should be reported in manuscripts for a particular field of research. These checklists not only help authors understand data reporting expectations and guide their manuscript preparation, but also aid reviewers during manuscript evaluation. Ultimately, we might also publish them as part of the online supporting information, such that they can benefit our readers. We are very happy to announce that Advanced Intelligent Systems and some other Advanced journals are continuing with our “Machine Learning Data Reporting Checklist”. For more information, please refer to the journal's Author Guidelines. We are confident that Advanced Intelligent Systems will continue to grow and solidify its position as a reputed journal in 2024. For this, we would like to extend a special thank you to our authors, reviewers, and our Editorial Advisory Board for their support. We wish you all the best for the new year, and we are looking forward to your continued trust in Advanced Intelligent Systems as your journal of choice! Dr Richard Murray, Editor-in-Chief, Dr Floriano Cuccureddu, Dr Huan Wang, Editors, and Dr Esther Levy and Dr Babak Mostagachi, Consulting Editors.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,897
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,009
Tête enseignante GPT0,231
Écart entre enseignants0,222 · 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