1,720,963 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Correction to: Bearing fault detection in adjustable speed drives via self-organized operational neural networks (Electrical Engineering, (2024), 10.1007/s00202-024-02764-3)
In the original publication, the affiliation of first author has been wrongly tagged to second author of the paper. The authors and affiliations should have appeared as follows: Sertac Kilickaya1, Levent Eren21Faculty of Information Technology and Communication Sciences, Tampere University, Korkeakoulunkatu 7, 33720, Tampere, Finland 2Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir, Turkey The original article has been corrected.Non peer reviewe
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Fotovoltaik (PV) Sistemlerde Anlık Hata Tespitinin Belirlemesinde Bir Boyutlu Konvolüsiyonel Sinir Ağı (CNN) Kullanımı
In this study, fault detection in grid-connected photovoltaic (PV) systems was achieved using a one-dimensional convolutional neural network (1D CNN) model. The primary aim of this study is to develop a method that accurately and promptly detects and classifies faults that may occur in grid-connected PV systems. With the increasing demand for energy and growing interest in renewable energy sources, the reliability and efficiency of PV systems have become critically important. Early detection of faults in PV systems is vital for ensuring continuity in energy production, preventing energy losses, and reducing maintenance costs. The performance of the 1D CNN model was evaluated based on its accuracy. The results revealed that the model achieved higher accuracy rates compared to traditional methods like Support Vector Machines (SVM) and K-Nearest Neighbors (KNN). This demonstrates that the 1D CNN model is a robust alternative for fault detection in PV systems The GPVS-Fault dataset was used in the study, which analyzed the critical variables in PV systems such as Ipv, Vpv, Vdc, ia, ib, ic, va, vb, vc, Iabc, If, Vabc and Vf. The graphical analysis of these variables highlighted the deviations and irregularities caused by the faults. The fault detection and classification process consisted of three main steps. First, through data analysis, fault indicators were clearly observed in the F1, F2, F3 and F4 files. Then, the detected faults were labeled and prepared for classification. Keywords: Grid-Connected PV Systems, 1D CNN, Fault DetectionBu çalışmada, şebekeye bağlı fotovoltaik (PV) sistemlerde 1D CNN modeli kullanılarak arıza tespiti belirlenmesi sağlanmıştır. Artan enerji ihtiyacı ve yenilenebilir enerji kaynaklarına olan ilginin bir sonucu olarak, PV sistemlerin güvenilirliği ve verimliliği kritik önem taşımaktadır. PV sistemlerde arızaların erken tespiti, enerji üretiminde sürekliliği sağlamak, enerji kayıplarını önlemek ve bakım maliyetlerini azaltmak açısından büyük bir öneme sahiptir. 1D CNN modeli, doğruluk, üzerinden değerlendirilmiştir. Elde edilen sonuçlar, modelin SVM ve KNN gibi geleneksel yöntemlere kıyasla daha yüksek doğruluk oranları sağladığını ortaya koymuştur. Bu da modelin PV sistemlerde arıza tespiti için güçlü bir alternatif olduğunu göstermektedir. Çalışmada, GPVS-Arızaveri seti kullanılarak PV sistemlerdeki Ipv, Vpv, Vdc, ia, ib, ic, va, vb, vc, Iabc, If, Vabc ve Vf gibi kritik değişkenler incelenmiştir. Bu değişkenler üzerinden grafiksel analizler yapılmış, arızaların neden olduğu sapmalar ve düzensizlikler tespit edilmiştir. Arıza tespiti ve sınıflandırma süreci üç ana adımdan oluşmaktadır. İlk olarak, veriler üzerinde yapılan analizlerle F1, F2, F3 ve F4 dosyalarındaki arıza belirtileri açıkça gözlemlenmiştir. Ardından, tespit edilen arızalar etiketlenerek sınıflandırma için uygun hale getirilmiştir. Anahtar Kelimeler: Şebekeye Bağlı PV Sistemler, 1D CNN (1 Boyutlu Konvolüsyonel Sinir Ağı), Arıza Tespit
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
