Relevant bibliographies by topics / Google collaboratory

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  4. Conference papers

Academic literature on the topic 'Google collaboratory'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Google collaboratory"

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Haana Udtari Anjani, Vitriani Vitriani, and Mulya Hastuti. "Pemanfaatan Media Google Colaboratory Pada Mata Pelajaran Informatika di SMA Negeri 5 Pekanbaru." SOKO GURU: Jurnal Ilmu Pendidikan 4, no. 1 (2024): 101–8. http://dx.doi.org/10.55606/sokoguru.v4i1.3613.

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This research aims to fill the knowledge gap by analyzing the utilization of Google Collaboratory learning media on utilization of Google Collaboratory learning media in informatics subjects in the high school environment. informatics in a secondary school environment. Through a deeper understanding about the experience of using this platform, it is expected to be identified benefits, constraints, and effective strategies in optimizing the utilization of Google Collaboratory as a learning media. Google Collaboratory as an effective and efficient learning media in informatics learning. This res
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Kusuma Dewi, Karin, Ismi Kaniawulan, and Candra Dewi Lestari. "ANALISIS SENTIMEN PENGGUNA APLIKASI JAMSOSTEK MOBILE (JMO) PADA APPSTORE MENGGUNAKAN METODE NAIVE BAYES." Simtek : jurnal sistem informasi dan teknik komputer 8, no. 2 (2023): 333–38. http://dx.doi.org/10.51876/simtek.v8i2.286.

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The use of Jamsostek Mobile has problems that often occur, namely failure to update data on the JMO application, digital cards that do not appear on the JMO application, data update failures and access failures. To overcome this, BPJS participants are faced with BPJS branches or companies. This is an obstacle that should be overcome through optimizing regulations from the BPJS so that there are no complaints from the public regarding this matter.
 Jamsostek Mobile is an application implemented by BPJS Ketenagakerjaan to make it easier for users to carry out JHT simulations, check JHT bala
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Ayundyah, Kesumawati, Mifrahi Mustika Noor, and Primandari Arum Handini. "Optimalisasi Virtual Lab Dan Google Collaboratory Untuk Pembelajaran Daring Bersama Berbasis Collaborative Project Based Learning." Refleksi Pembelajaran Inovatif 4, no. 1 (2022): 507–19. https://doi.org/10.20885/rpi.vol4.iss1.art2.

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Metode pembelajaran tardisional saat ini dirasa memiliki banyak kekurangan bagi pembelajaran mandiri peserta didik. Penelitian ini bertujuan untuk melihat bagaimana penerapan proses pembelajaran dengan pendekatan PjBL kolaboratif. Proyek diberikan kepada mahasiswa dari dua prodi berbeda yaitu program studi Statistik dan Ilmu Ekonomi dimana isu yang diberikan mengenai isu ekonomi dengan pendekatan statistik. Observasi dilakukan pada dua kelas dengan total jumlah mahasiswa sebanyak 105. Hasil penerapan PjBL kolaboratif menunjukkan terdapat peningkatan perolehan capaian CPMK saat mahasiswa melaku
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Moch Farryz Rizkilloh and Sri Widiyanesti. "Prediksi Harga Cryptocurrency Menggunakan Algoritma Long Short Term Memory (LSTM)." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 1 (2022): 25–31. http://dx.doi.org/10.29207/resti.v6i1.3630.

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Technological developments continue to encourage the creation of various innovations in almost all aspects of human life. One of the innovations that is becoming a worldwide phenomenon today is the presence of cryptocurrency as a digital currency that is able to replace the role of conventional currency as a means of payment. Currently, the number of cryptocurrency investors in Indonesia has reached 4.45 million people as of March 2021, an increase of 78% compared to the end of the previous year. Very volatile price movements make cryptocurrency investments considered speculative so the risks
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Cárdenas Vargas, Freddy, and Jennifer Riveros Cepeda. "Simulación Hidrológica de la Cuenca del Rio Atrato Mediante Herramientas Computacionales." Revista de Tecnología 17, no. 2 (2020): 30–36. http://dx.doi.org/10.18270/rt.v17i2.3329.

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Reconocer la importancia del Río Atrato, tanto para el país, como específicamente a los alrededores de su cuenca; se realiza este estudio investigativo por medio de los recursos de información geográfica, con el fin de simular su hidrología para conocer su comportamiento. Además de resaltar la importancia y el buen uso de los diferentes recursos informáticos para realizar este estudio hidrológico (IDEAM, Google Earth, Collaboratory, Qgis e información satelital).[1] Todo esto, buscando realizar un estudio preciso y con calidad de información para realizar modelamientos necesarios en el campo d
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Indrihapsari, Yuniar, Handaru Jati, N. Nurkhamid, et al. "A Comparison of OpenNMT Sequence Model for Indonesian Automatic Question Generation." Elinvo (Electronics, Informatics, and Vocational Education) 8, no. 1 (2023): 55–63. http://dx.doi.org/10.21831/elinvo.v8i1.56491.

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Evaluation of learners is a crucial aspect of the educational system. However, creating evaluation instruments is a process that demands teachers' time and energy. The researcher developed the Indonesia Automatic Question Generator in this study using an architecture modified from past studies. The primary goals of this project are (1) to construct an AQG tool utilizing the OpenNMT series and (2) to analyze and compare the model's performance. As a data source, this study employs the SQuAD 2.0 dataset and numerous sequence techniques, including BiGRU, BiLSTM, and Transformer. The researcher tr
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Iskandar, Dadang Mulyana, Mesra Betty Yel, and Aldi Sitohang. "Detection of The Deaf Signal Language Using The Single Shot Detection (SSD) Method." Journal of Applied Engineering and Technological Science (JAETS) 4, no. 1 (2022): 215–22. http://dx.doi.org/10.37385/jaets.v4i1.966.

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Sign Language is a language that prioritizes manual communication, body language, and lip movements, instead of sound, to communicate. Deaf people are the main group who use this language, usually by combining hand shape, orientation and movement of the hands, arms, and body, and facial expressions to express their thoughts. Therefore, the researcher created an image recognition program in sign language using the Single Shot Detection (SSD) method, which is a convolution activity by combining several layers of preparation, by utilizing several components that move together and are motivated by
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Lomeo, Davide, and Minerva Singh. "Cloud-Based Monitoring and Evaluation of the Spatial-Temporal Distribution of Southeast Asia’s Mangroves Using Deep Learning." Remote Sensing 14, no. 10 (2022): 2291. http://dx.doi.org/10.3390/rs14102291.

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This paper proposes a cloud-based mangrove monitoring framework that uses Google Collaboratory and Google Earth Engine to classify mangroves in Southeast Asia (SEA) using satellite remote sensing imagery (SRSI). Three multi-class classification convolutional neural network (CNN) models were generated, showing F1-score values as high as 0.9 in only six epochs of training. Mangrove forests are tropical and subtropical environments that provide essential ecosystem services to local biota and coastal communities and are considered the most efficient vegetative carbon stock globally. Despite their
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Ortiz Orozco, Maria Fernanda, and Juan Sebastian Pardo Florez. "Análisis hidrológico de la cuenca del río Sumapaz ubicada en Bogotá D.C entre los años 2011 al 2019." Revista de Tecnología 17, no. 2 (2020): 92–100. http://dx.doi.org/10.18270/rt.v17i2.3335.

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Se realizó la identificación y selección de la cuenca del Río Sumapaz cerca de su nacimiento en el municipio de Cabrera – Cundinamarca, seguidamente se reconocieron diferentes estaciones del IDEAM necesarias para la debida recolección de datos de precipitación y caudal , y con la descarga de datos de dichos datos de la cuenca se utilizaron distintas herramientas como lo son Qgis y Google Collaboratory a través de estas se realizó la simulación del comportamiento del río y así se obtuvieron resultados como el perfil del río, los puntos máximos, mínimos y medios de caudal y precipitación y su re
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Wiratama, Ari Satria, Muhammad Rifqi, and Siti Maesaroh. "EFEKTIVITAS TRANSFER LEARNING DALAM PENDETEKSIAN PENYAKIT PNEUMONIA MELALUI CITRA X-RAY PARU MANUSIA." Jurnal Ilmiah Sains dan Teknologi 7, no. 1 (2023): 43–52. http://dx.doi.org/10.47080/saintek.v7i1.2551.

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Pneumonia is a disease that attacks the human lung system. This disease causes serious problems not only in Indonesia but is a serious problem for people around the world. By doing early detection of pneumonia can reduce mortality. X-ray imaging of the human chest is one of the most widely used to diagnose pneumonia. The X-ray method is a fast and easy method of detecting a disease. In this study, the Transfer Learning method was used to classify chest X-ray images labeled as non-pneumonia and pneumonia lungs. To classify this image recognition, the Google Collaboratory application uses the Re
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Books on the topic "Google collaboratory"

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Cohen, Robert, and Joel Veenstra. Working Together in Theatre. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350333635.

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This book explores how theater artistry melds the forces of collaboration and leadership, igniting creativity from the first spark of an idea to the climactic curtain call. It throws the spotlight on the dynamic interplay of roles, covering the collaboration between producer, director, playwright, actor, designer, stage manager, dramaturg, and stage crew. Each chapter illuminates various strategies and insights, revealing how you can harness these transformative techniques on your own journey, crafting spellbinding productions through the power of collective creativity. In this new edition, Jo
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Book chapters on the topic "Google collaboratory"

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Deb, Akangsha, Tanu Tiwari, Sanjana Rajkumari, and Jaydeep Swarnakar. "BRAIN TUMOR IMAGE CLASSIFICATION USING SUPPORT VECTOR MACHINE." In Futuristic Trends in Network & Communication Technologies Volume 3 Book 3. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3binc3p6ch2.

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This paper is focused on developing a model for classifying MRI images of brain tumors including Glioma Tumor, Meningioma Tumor, Pituitary Tumor and no tumor. The dataset has been collected from Kaggle. Then, it has been organized and uploaded to GitHub. The different libraries of Python namely Matplotlib, NumPy, and Sci-Kit Learn have been capitalized in this work. Google Collaboratory has been used for the execution environment with a limited storage requirement of 108 GB. The images are cloned from GitHub repository named "Brain-Tumor" to Google Collaboratory. This repository contains a dat
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Webb, Chris, and Holly Prescott. "ChatGPT for Career Development." In Job Hunting for the 21st Century. Royal Society of Chemistry, 2025. https://doi.org/10.1039/9781837677153-00021.

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This chapter takes a practical approach to helping individuals understand the benefits of using Generative AI tools like ChatGPT, Google Gemini and Claude, when it comes to considering three common career development topics – exploring potential career options, researching career-related information and searching and applying for job opportunities. Taking an ‘AI as collaborator’ approach, the chapter contains a mixture of career development expertise and example prompt threads created for ChatGPT to highlight how this technology can be a powerful tool for aiding career thinking, while also sur
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Baker, Christina, Rebecca Breidenstein, and Esther Banuelos. "Road to a National Health Information Network: US Trusted Exchange Framework and Common Agreement (TEFCA)." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240285.

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The Trusted Exchange Framework and Common Agreement (TEFCA) is a U.S. government initiative aimed at promoting the secure and interoperable exchange of electronic health information (EHI) across the healthcare ecosystem. In the U.S., TEFCA was established as part of the 21st Century Cures Act, signed into law in December 2016. Methods: A literature search using the PRISMA guidelines will be conducted through PubMed, CINAHL, Google Scholar, and Web of Science, for dates 2013-2024 will be conducted. Results will be demonstrated with a timeline, graphics, and written text on the key points of tec
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Bollier, David. "Intellectual Property in the Digital Age." In Key Issues in the Arts and Entertainment Industry. Goodfellow Publishers, 2011. http://dx.doi.org/10.23912/978-1-906884-20-8-1442.

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Once a backwater of law that elicited little interest beyond arts and entertainment industries and their lawyers, over the past generation, copyright law has become a major arena of social and political conflict. Many clashes amount to tactical skirmishes among companies for competitive advantage — a long and familiar dynamicin copyright law. But much of the turmoil revolves around a deeper issue: what legal principles and social norms should be used to promote new creativity, especially when the Internet and other digital technologies are involved? Many Internet users, academics, software pro
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Conference papers on the topic "Google collaboratory"

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Ekeregbe, Merit P., Mina S. Khalaf, and Robello Samuel. "Dull Bit Grading Using Video Intelligence." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206254-ms.

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Abstract Although visual data analytics using image processing is one of the most growing research areas today and is largely applied in many fields, it is not fully utilized in the petroleum industry. This study is inspired by medical image segmentation in detecting tumor cells. This paper uses a supervised Machine Learning technique through video analytics to identify bit dullness that can be used in the drilling industry in place of the subjective screening approach. The evaluation of bit performance can be affected by subjective evaluation of the degree of dullness. The present approach of
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Kumara, B. T. G. S., Kuhaneswaran Banujan, Senthan Prasanth, and G. A. C. A. Herath. "Constructing Global Researchers Network Using Google Scholar Profiles for Collaborator Recommendation Systems." In 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). IEEE, 2021. http://dx.doi.org/10.1109/3ict53449.2021.9582065.

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Hartholt, Arno, and Sharon Mozgai. "Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002856.

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The research and development of virtual humans, and the virtual worlds they inhabit, is inherently complex, requiring interdisciplinary approaches that combine social sciences, computer science, design, art, production, and domain expertise. Our previous work in managing this complexity has resulted in the release of the Virtual Human Toolkit (VHToolkit), aimed at lowering the burden of creating embodied conversational agents. In our current efforts, we are integrating the VHToolkit with the Rapid Integration & Development Environment (RIDE), a rapid prototyping modeling and simulation mid
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