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Institution

Sungkyunkwan University

EducationSeoul, South Korea
About: Sungkyunkwan University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Graphene & Thin film. The organization has 28229 authors who have published 56428 publications receiving 1352733 citations. The organization is also known as: 성균관대학교.


Papers
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Journal ArticleDOI
TL;DR: Owing to this enhancement of synaptic operation, the recognition rates for the Modified National Institute of Standards and Technology digit patterns improve from 36% and 49% to 50% and 62% in artificial neural networks using long‐term potentiation/depression characteristics with 20 and 100 weight states, respectively.

244 citations

Journal ArticleDOI
TL;DR: In this paper, an existing, and pre-trained AlexNet convolutional neural network model is used in extracting features, and a ECOC SVM clasifier is utilized in classification the skin cancer.
Abstract: This paper addresses the demand for an intelligent and rapid classification system of skin cancer using contemporary highly-efficient deep convolutional neural network. In this paper, we mainly focus on the task of classifying the skin cancer using ECOC SVM, and deep convolutional neural network. RGB images of the skin cancers are collected from the Internet. Some collected images have noises such as other organs, and tools. These images are cropped to reduce the noise for better results. In this paper, an existing, and pre-trained AlexNet convolutional neural network model is used in extracting features. A ECOC SVM clasifier is utilized in classification the skin cancer. The results are obtained by executing a proposed algorithm with a total of 3753 images, which include four kinds of skin cancers images. The implementation result shows that maximum values of the average accuracy, sensitivity, and specificity are 95.1 (squamous cell carcinoma), 98.9 (actinic keratosis), 94.17 (squamous cell carcinoma), respectively. Minimum values of the average in these measures are 91.8 (basal cell carcinoma), 96.9 (Squamous cell carcinoma), and 90.74 (melanoma), respectively.

244 citations

Journal ArticleDOI
TL;DR: This survey provides a comprehensive review of the game models developed for different multiple access schemes (i.e., contention-free and contention-based random channel access) in wireless networks and outlines several of the key open research directions.
Abstract: Multiple access methods in a wireless network allow multiple nodes to share a set of available channels for data transmission. The nodes can either compete or cooperate with each other to access the channel(s) so that either an individual or a group objective can be achieved. Game theory, which is a mathematical tool developed to understand the interaction among rational entities, can be applied to model and to analyze individual or group behaviour of nodes for multiple access in wireless networks. Game theory also enables us to model the selfish/malicious behaviour of nodes, and subsequently design the punishment or defense mechanisms for robust multiple access in wireless networks. In addition, game models can provide distributed solutions to the multiple access problems, which are based on solid theoretical foundations. In this survey, we provide a comprehensive review of the game models (e.g., noncooperative/cooperative, static/dynamic, and complete/incomplete information) developed for different multiple access schemes (i.e., contention-free and contention-based random channel access) in wireless networks. We consider time-division multiple access (TDMA), frequency-division multiple access (FDMA), and code-division multiple access (CDMA), ALOHA, and carrier sense multiple access (CSMA)-based wireless networks. In addition, game models for multiple access in dynamic spectrum access-based cognitive radio networks are reviewed. The major findings from the game models used for these different access schemes are highlighted. To this end, several of the key open research directions are outlined.

243 citations

Journal ArticleDOI
TL;DR: The reaction layers of friction stir welded joints made from austenitic stainless steel and Al alloy consisted of mixed layers of elongated and ultra-fine grains and the intermetallic compound layer as discussed by the authors.

243 citations

Journal ArticleDOI
TL;DR: The aim of this review is to summarize the latest trends and developments in the enantioselective synthesis of spirocompounds during these last six years.
Abstract: The enantioselective synthesis of spirocycles has long been pursued by organic chemists. Despite their unique 3D properties and presence in several natural products, the difficulty in their enantioselective synthesis makes them underrepresented in pharmaceutical libraries. Since the first pioneering reports of the enantioselective construction of spirosilanes by Tamao et al., significant effort has been devoted towards the development of new promising asymmetric methodologies. Remarkably, with the advent of organocatalysis, particularly over six years, the reported methodologies for the synthesis of spirocycles have increased exponentially. The aim of this review is to summarize the latest trends and developments in the enantioselective synthesis of spirocompounds during these last six years.

243 citations


Authors

Showing all 28506 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Hyun-Chul Kim1764076183227
Yongsun Kim1562588145619
David J. Mooney15669594172
Jongmin Lee1502257134772
Byung-Sik Hong1461557105696
Inkyu Park1441767109433
Y. Choi141163198709
Kazunori Kataoka13890870412
E. J. Corey136137784110
Pasi A. Jänne13668589488
Suyong Choi135149597053
Intae Yu134137289870
Tae Jeong Kim132142093959
Anders Hagfeldt12960079912
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023103
2022588
20214,342
20204,248
20194,124
20183,826