1,721,007 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Classification of brain tumors from magnetic resonance images with deep learning
No full textFen Bilimleri Enstitüsü, Optik Mühendisliği Ana Bilim DalıBu çalışmada uzmanlara tanı ve tedavide yardımcı olmak amacıyla T1 ağırlıklı beyin Manyetik Rezonans (MR) görüntülerindeki farklı tipteki tümörlerin sınıflandırılması amaçlanmıştır. En yaygın beyin tümörlerinden olan gliyom, menenjiyom ve hipofiz bezesi tümörleri dört katmanlı evrişimsel sinir ağı ve derin transfer öğrenme yöntemlerinden olan VGG16, VGG19, Resnet50 ve Densenet121 ağları kullanılarak sınıflandırılmıştır. Veri kümesi olarak 3064 T1 ağırlıklı MR görüntüsü içeren erişime açık Figshare veri kümesi kullanılmıştır. Görüntü kümesi %70 eğitim ve %30 test olacak şekilde ayrılmıştır. Sınıflandırma yapılırken Adadelta, RMSprop, SGD, Adam gibi dört farklı optimizasyon algoritmasının başarıma etkisi de test edilmiştir. Çalışmada yöntemin kodlanması ve test edilmesi amacıyla Python dili ile Keras ve Tensorflow kütüphaneleri kullanılmıştır. Sınıflandırma performansı ve test sonuçları AUC (Area Under Curve), duyarlılık, özgüllük ve doğruluk metrikleri kullanılarak sunulmuştur.In this study, it was aimed to classify different types of tumors in T1-weighted brain Magnetic Resonance (MR) images in order to assist the experts in diagnosis and treatment. The most common brain tumors, glioma, meningioma and pituitary gland tumors, were classified using four-layer convolutional neural network and VGG16, VGG19, Resnet50 and Densenet121 networks, which are deep transfer learning methods. Figshare dataset, which contains 3064 T1-weighted MR images, was used as the data set. The image set is divided into 70% training and 30% test. While doing the classification, the effects of four different optimization algorithms such as Adadelta, RMSprop, SGD (Stochastic Gradient Descent), Adam on success were also tested. In the study, Python programming language withKeras and Tensorflow libraries were used to code and test the method. Classification performance and test results are presented using AUC (Area Under Curve), sensitivity, specificity and accuracy metrics
Underwater communication systems: Example of fiber optic communication
No full textFen Bilimleri Enstitüsü, Optik Mühendisliği Ana Bilim Dalı, Optik ve Fotonik Mühendisliği Bilim DlıÖZET SUALTI HABERLEŞME SİSTEMLERİ: FİBER OPTİK HABERLEŞME ÖRNEĞİ YASİN BAYRAKTAR Yüksek Lisans Tezi Optik Mühendisliği Anabilim Dalı Tez Danışmanı: Dr. Öğr. Üyesi Özlem POLAT 2020, 52+xvı sayfa İletişim, haberleşme eski zamanlardan beri insan hayatında önemli bir rol oynamaktadır. 21. yüzyıl teknoloji dünyasında meydana gelen çok hızlı değişimler, iletişim alanında da kendisini göstermektedir. Ses, veri ve görüntü iletişiminde meydana gelen bu hızlı ve büyük değişimler daha ergonomiklilik, ekonomiklilik, kalitenin yüksek olması ve geniş kapasiteli sistemlere talebi arttırmıştır. Bundan dolayıdır ki zamanımızda insanlar farklı iletişim yöntemleri kullanarak dünya genelinde iletişimini, haberleşmesini sağlıyor. Haberleşme bağlantılarının ortamı hava, uzay, yüzey veya su olabilir. Bu alandaki yeni gelişmelere uydu ve su altı optik iletişim teknolojileri eklenmektedir. Kıtaların birbirleriyle olan data iletişimi/haberleşmesi, dünyadaki nüfus merkezlerini birbirine bağlayan sualtı fiber optik kablolar ağıyla gerçekleştiğinde "sualtı optik haberleşme" olayı olmuştur. Uluslararası internette gezinen veyahut diğer kıtalarla telefon görüşmesini uluslararası yapan, denizaltı fiber optik kablolarını kullanmış olmaktadır. Sualtı optik haberleşme yöntemleri; Ethernet Standardında Bakır Kablo ile Veri İletimi, RS-485 Seri İletim, Kablosuz Veri Aktarımı, Taşınabilir Disk ileVeri İletimi, Fiber Optik İle Veri İletimi olmak üzere beş şekilde yapılır. Biz bu projemizde Fiber Optik ile veri iletimini inceleyeceğiz. Daha ergonomiklilik, fazla bant genişliği, hızlılık gibi avantajlardan dolayı bu tercihi yapmış bulunmaktayız. Anahtar Kelimeler: Sualtı Haberleşme, Fiber Optik, İletişimABSTRACT UNDERWATER COMMUNICATION SYSTEMS: EXAMPLE OF FIBER OPTIC COMMUNICATION YASİN BAYRAKTAR Department of Optical Engineering Supervisor: Dr. Öğr. Üyesi ÖZLEM POLAT 2020, 52+xvı pages Communication have played an important role in human life since ancient times. Rapid changes in the 21st century technology world also show itself in the field of communication. This rapid and large changes in voice, data and image communication have increased demand for more ergonomics, economy, high quality and large capacity systems. Therefore, in our time, people provide communication worldwide using different communication methods. The environment of communication connections can be air, space, surface or water. Satellite and underwater optical communication technologies are also participating in new developments in this field. When the data communication of the continents with each other was realized with the underwater fiber optic cables network that connects the population centers of the world, there was an "underwater optical communication" event. It has been using submarine fiber optic cables that surf internationally or make international phone calls with other continents. Underwater optical communication methods; Data Transmission with Copper Cable in Ethernet Standard, RS-485 Serial Transmission, Wireless Data Transmission, Data Transmission with Portable Disk, Data Transmission with Fiber Optic. In this project, we will examine data transmission with Fiber Optic. We have made this choice due to advantages such as more ergonomics, more bandwidth, and speed. Key Words: Underwater Communication, Fiber Optic, Communicatio
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Detection of COVID-19 from computed tomography images with convolutional neural networks
No full textFen Bilimleri Enstitüsü, Optik Mühendisliği Ana Bilim DalıAralık 2019'da Çin'de ortaya çıkan SARS-CoV-2 virüsünün neden olduğu Covid-19 tüm dünyada salgın haline gelmiş ve çok sayıda ölümlere yol açmıştır. Hastalığın erken tespiti ve uygun tedavinin erken dönemde hastaya verilmesi hem hastalığın seyrini hafifletecek hem de hastanın yaşama şansını artıracaktır. Dolayısıyla hastalıkla mücadelede erken teşhis ve müdahale çok önemli bir rol oynamaktadır. Son zamanlarda salgınla mücadele için yapay zekâ ve derin öğrenmeye dayalı birçok akademik çalışma yapılmıştır. Biz de yapacağımız bu çalışmada Covid-19'un Bilgisayarlı Tomografi (BT) görüntülerinden evrişimsel sinir ağlarını kullanan modeller ile tespit etmeye çalışacağız. Bu amaçla hem sıfırdan evrişimsel sinir ağları ile model oluşturacağız hem de daha önceden büyük veri setleri ile eğitilmiş transfer öğrenme modellerini kullanacağız. Kullandığımız modelin başarımını doğruluk, kesinlik, duyarlılık, f1-skoru gibi metriklerle değerlendireceğiz.Covid-19, caused by the SARS-CoV-2 virus that emerged in China in December 2019, has become an epidemic all over the world. and caused many deaths. Early detection of the disease and appropriate treatment in the early stages of the patient It will both alleviate the course of the disease and increase the patient's chance of survival. Therefore, with the disease Early diagnosis and intervention play a very important role in the fight. To combat the recent epidemic Many academic studies have been conducted based on artificial intelligence and deep learning. In this study, we will Detection of Covid-19 from Computed Tomography (CT) images with models using convolutional neural networks we will try to. For this purpose, we will both create a model with convolutional neural networks from scratch and We will use transfer learning models that have been previously trained with large datasets. The model we use We will evaluate its performance with metrics such as accuracy, precision, sensitivity, f1-score
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
- …
