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International Conference on Informatics and Computing (ICIC)

作者： Marissa Utami Ermatita Ermatita Abdiansyah Abdiansyah Engineering Program Universitas Sriwijaya Palembang Indonesia Faculty of Computer Science Universitas Sriwijaya Palembang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

This research discussion will be a comparative model proposal for introducing Besurek batik fabric by implementing MobileNet, ResNet50, InceptionV3 and VGG16. This research also analyzed the influence of augmentation data methods, namely rotation, zoom, width shift and height shift, on the performance of the Besurek batik fabric recognition algorithm based on accuracy, precision and recall results. The size of the batik besurek fabric motif image as an input image is $224 \times 224$ with three channels consisting of red, green, and blue, totalling five classes, namely kaligrafi, bunga rafflesia, burung kuau, lung paku and rambutan. The ratio of sharing training data and test data is 70:30. Accuracy evaluations are carried out on several epochs and data that have been shared. Based on the experiment, the accuracy value of MobileNetV2 can be obtained by training accuracy of $\mathbf{98.14 \%}$, validation accuracy of $\mathbf{94.60 \%}$, and testing accuracy of $\mathbf{96.46 \%}$. Then, the accuracy value of ResNet50 can be obtained by training accuracy at $\mathbf{99.60 \%}$, validation accuracy at 97.44, and testing accuracy at $\mathbf{98.12 \%}$. The accuracy value of InceptionV3 can be obtained by training accuracy at $96.35 \%$, validation accuracy at $96.59 \%$, and testing accuracy at $\mathbf{92.50 \%}$. Finally, the accuracy value of VGG16 can be obtained by training accuracy at $\mathbf{99.67 \%}$, validation accuracy at $96.02 \%$, and testing accuracy at $\mathbf{95.00 \%}$. The accuracy of VGG 16 can be concluded as the best model for Batik recognition.

关键词： Training Accuracy Lungs Transfer learning Training data Fabrics Proposals Informatics Testing Residual neural networks

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Bubble-pen lithography:Fundamentals and applications

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Aggregate 2022年第4期3卷 85-100页

作者： Pavana Siddhartha Kollipara Ritvik Mahendra Jingang Li Yuebing Zheng Walker Department of Mechanical Engineering The University of Texas at AustinAustinTexasUSA Department of Electrical and Computer Engineering The University of Texas at AustinAustinTexasUSA Material Science and Engineering Program Texas Materials InstituteThe University of Texas at AustinAustinTexasUSA

Developing on-chip functional devices requires reliable fabrication methods with high resolution for miniaturization,desired components for enhanced performance,and high throughput for fast prototyping and mass ***,laser-based bubble-pen lithography(BPL)has been developed to enable sub-micron linewidths,in situ synthesis of custom materials,and on-demand patterning for various functional components and *** exploits Marangoni convection induced by a laser-controlled microbubble to attract,accumulate,and immobilize particles,ions,and molecules onto different *** years have witnessed tremendous progress in theory,engineering,and application of BPL,which motivated us to write this ***,an overview of experimental demonstrations and theoretical understandings of BPL is ***,we discuss the advantages of BPL and its diverse applications in quantum dot displays,biological and chemical sensing,clinical diagnosis,nanoalloy synthesis,and *** conclude this review with our perspective on the challenges and future directions of BPL.

关键词： additive manufacturing capillary flow lithography marangoni convection microbubbles sensing

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Low-rank variational Bayes correction to the Laplace method

The Journal of Machine Learning Research

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The Journal of Machine Learning Research 2024年第1期25卷 3032-3056页

作者： Janet Van Niekerk Håvard Rue Statistics Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia

Approximate inference methods like the Laplace method, Laplace approximations and variational methods, amongst others, are popular methods when exact inference is not feasible due to the complexity of the model or the abundance of data. In this paper we propose a hybrid approximate method called Low-Rank Variational Bayes correction (VBC), that uses the Laplace method and subsequently a Variational Bayes correction in a lower dimension, to the joint posterior mean. The cost is essentially that of the Laplace method which ensures scalability of the method, in both model complexity and data size. Models with fixed and unknown hyperparameters are considered, for simulated and real examples, for small and large data sets.

关键词： information processing rule INLA Laplace LGM variational Bayes

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Identifying the Computing Education Needs of Liberal Arts and sciences Students (Discussion Paper) 23

Identifying the Computing Education Needs of Liberal Arts an...

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Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

作者： Mark Guzdial August Evrard Computer Science & Engineering University of Michigan USA Program in Computing for the Arts and Sciences University of Michigan USA

ISBN: (纸本)9798400716539

As a field, computing’s deepest roots lie in liberal arts domains such as philosophy and linguistics. As new technologies rapidly expanded the field, the computer science curricula emerged. The current undergraduate areas of study, including computer science and software engineering, focus on preparing students for careers in the computing industry or academia. The “born digital” students of a modern liberal arts institution need a different, less technology-heavy, form of computing education to support their careers as future scientists, artists, or humanists. At our large, research-focused, US university, the College of Literature, science, and the Arts (LSA) charged a task force with defining the computing education needs for their students, chaired by the authors. We describe our process, findings and outcomes here with the aim of offering a reference template to faculty at universities that have experienced a similar growth to prominence of computer science in the undergraduate curriculum. The task force identified emergent themes of discovery, expression, and justice that we using to establish a new program, the program for Computing in the Arts and sciences (PCAS). Our themes and process may help other liberal arts and sciences programs organize the computing education needs in support of all their undergraduate students.

关键词： CS for All computational literacy computational science computational thinking critical computing liberal arts and sciences

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Knowledge Atlas on the Medical Artificial Intelligence Research-A Bibliometric Analysis Based on CiteSpace and VOSviewer 2

Knowledge Atlas on the Medical Artificial Intelligence Resea...

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2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum, AIBDF 2022

作者： Shi, Li Han, Lingling Huang, Ke Ge, Fangzhen Zhang, Lele School of Computer Science and Technology Huaibei Normal University Huaibei235000 China School of Economics and Management Huaibei Normal University Huaibei235000 China Engineering Research Center of Cognitive Behavioral Intelligent Computing and Application Huaibei235000 China

ISBN: (纸本)9781510663107

In order to draw and analyze the current status of the research on the application of artificial intelligence in the field of health in China and abroad, we explored the hotspots and frontiers of this research field and the evolution path from 2012 to 2022. This research uses 3743 articles included in the core database of Web of science and 728 related research articles contained in CNKI as the basis for data analysis, and uses the advantages of bibliometrics visualization software of CiteSpace and VOSviewer to study institutions, countries, authors and literature keywords. In this research area, the research of medical artificial intelligence is growing day by day. By analyzing and sorting out the current research status, research hotspots and evolution path in this field of research, and trying to point out the deficiencies in the research in this field in China, the paper hopes to provide more references for researchers and practitioners of medical artificial intelligence related research. © 2023 SPIE.

关键词： Data visualization

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Extending the Usability of WebTA with Unified ASTs and Errors 53

Extending the Usability of WebTA with Unified ASTs and Error...

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Teahen, Joseph Roy Masker, Daniel T. Ureel, Leo C. Jarvie-Eggart, Michelle Sticklen, Jon Brown, Laura E. Michigan Technological University Dept. of Computer Science Houghton United States Michigan Technological University Dept. of Cognitive and Learning Sciences Houghton United States Michigan Technological University Department of Engineering Fundamentals Houghton United States

ISBN: (纸本)9798350336429

Expanding autocritiquers to other languages requires the difficult task of obtaining and representing antipat-terns. Under the current framework, each language requires a unique Abstract Syntax Tree (AST) and error solution such that both the resulting AST and error summaries can be searched and presented to students. Often similar antipatterns arise that have to be rewritten in each language's own context. This paper proposes the creation of a generalized AST structure for an auto-critiquer under development, that can unify common code structures across similar languages while capturing differences in the languages. This work also proposes a standard for error message representation that can capture similar errors across language specific error messages. There are two motivations to standardizing AST and error message formats. Firstly, our solution allows for a standardized User Interface (UI) and easy integration of new languages with an identical on-boarding process for both professors and students. Secondly, reuse of antipatterns will allow us to skip the time-consuming step of constructing near-identical structural and logical antipattern queries as well as unifying novice based error feedback. © 2023 IEEE.

关键词： abstract syntax trees antipatterns critiquing systems error parsing

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Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine

Sentiment Analysis in Indonesian Trading using Lexicon-based...

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computer science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Raymond Sunardi Oetama Yanfi Yanfi Masagus M. Ikhsan Assiddiq U.P Sani Muhamad Isa Information System DepartmentFaculty of Engineering and Informatics Universitas Multimedia Nusantara Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia

Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo customers. Since many customers were deceived, this case became quite popular. This study was executed to see how Indonesians felt about the Binomo application after the case went viral. The solution taken was in the form of sentiment analysis because there had been no previous research on sentiment analysis that discussed the Binomo case. The data was scanned using Netlytic tools, a cloud-based text and social network analyzer capable of identifying any talks on social media sites such as Twitter. The sentiment analysis of Binomo trading tweets by using the Multi-Perspective Question Answering lexicon utilized the KNIME tool. But unfortunately, the accuracy of sentiment analysis results is low. Furthermore, the Support Vector Machine technique is also being conducted. The Term Frequency-Inverse Document Frequency method is applied to perform feature extraction whilst the chi-square approach is utilized to identify features that are thought to be useful for inclusion in the classification process and to exclude features that are irrelevant to the target class. The obtained accuracy is 86%. The study proposes that words from the algorithm's outputs can be utilized to improve the quality of sentiment analysis using the lexicon. As an outcome of the algorithm, positive and negative terms are added to the lexicon, increasing the accuracy of sentiment analysis using the new vocabulary from 58.984% to 71.146%.

关键词： Support vector machines Training Sentiment analysis Vocabulary Dictionaries Social networking (online) Blogs

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Photonic Crystals with Split Ring Unit Cells for Subwavelength Light Confinement

Photonic Crystals with Split Ring Unit Cells for Subwaveleng...

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CLEO: science and Innovations, S and I 2022

作者： Arnold, Kellen P. Halimi, Sami I. Allen, Joshua A. Hu, Shuren Weiss, Sharon M. Interdisciplinary Materials Science Program Vanderbilt University NashvilleTN37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37235 United States

We report a split ring photonic crystal that demonstrates an order of magnitude larger peak energy density compared to traditional photonic crystals. The split ring offers highly focused optical energy in an accessibl...

ISBN: (纸本)9781557528209

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Decoding EEG Signals Both During and After Offset of Small and Short-Time Visual Target Stimulus

Decoding EEG Signals Both During and After Offset of Small a...

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International Winter Workshop on Brain-computer Interface (BCI)

作者： Jaehyun Kim Sungu Nam Sangjin Jang Youngjo Song Byunghyuk Choi Jaeseung Jeong Brain Cognitive Engineering Program Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Life Science Research Institute Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Department of Brain Cognitive Science Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea

Conventional visual target detection with EEG signals has been experimented by exposing target objects that are large enough to be noticed without searching on visual image in order to average their corresponding responses such as event-related potentials (ERPs) to raise signal-to-noise ratio. Recent studies turn attention to decoding single-trial ERPs, while their experiments still minimize target object search time. In this paper, we studied the temporal aspects of target recognition of human brain including target object search by introducing the concept of semi-targets that are features posterior to offset of target visual stimuli, and applying it into a type of contrastive learning, Triplet MatchNet. The results showed that features five seconds posterior to target visual stimuli help increase in performance of EEG decoding.

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Scaffolding Process-Aware Information Systems with the AKIP Platform 1

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18th International Conference on Web Information Systems and Technologies, WEBIST 2022

作者： Telemaco Neto, Ulisses Oliveira, Toacy Pillat, Raquel Alencar, Paulo Cowan, Don Melo, Glaucia David R. Cheriton School of Computer Science University of Waterloo Waterloo Canada System Engineering and Computing Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (数字)9783031430886

ISBN: (纸本)9783031430879

Business Process Automation (BPA) refers to the automation of business processes through technology, with the goal of improving efficiency, reducing errors, and increasing productivity by eliminating manual and repetitive tasks. Over the past few years, the number of BPA platforms has increased, including both open-source and proprietary solutions. However, some challenges and limitations still exist related to the adoption of these solutions, such as vendor lock-in, limited UI/UX, limited integration, outdated technology stack, and lack of support for non-process features. To address these issues, this paper presents the AKIP platform, an open-source framework for developing process-aware information systems (PAISs) using code generation techniques. AKIP generates functional process-aware web applications from BPMN business process models, making it the only known software tool capable of generating fully functional process-aware web applications. To evaluate the effectiveness of the AKIP platform, a case study was conducted in the industry and six business processes automated into a process-oriented web application were analyzed in this paper. The study showed that the AKIP platform was able to generate a functional web application while supporting the automation of business processes with different model sizes and complexities. Furthermore, this study showed that even a team of professionals with little experience was able to produce such results by using the AKIP platform. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Automation

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