Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…The proposed model (PCA-MPM) is also capable of performing on-the-fly learning where this capability is needed to recognize feature changes in attacks that evolve over time. …”
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Efficacy of the internet-based intervention “Cultivating our resilience” (CORE) for improving resilience and coping strategies in university students: A randomized controlled trial... by Rocio Herrero, Marvin Franke, Dennis Görlich, Azucena Garcia-Palacios, Rosa Baños, Corinna Jacobi, Thomas Berger, Michael P. Schaub, Tobias Krieger, David D. Ebert, Cristina Botella

“…A total of 493 students with low levels of resilience participated in the study.Participants in the intervention group gained access to an internet-based program aiming to enhance resilience by learning to cope with stressors in daily life, promote self-empowerment, and improve well-being. …”
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An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

“…The vast amount of Landsat-8 SIC generated in this study may also be used to train deep-learning models for the estimation of Arctic SIC coverage. …”
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New era towards autonomous additive manufacturing: a review of recent trends and future perspectives by Haolin Fan, Chenshu Liu, Shijie Bian, Changyu Ma, Junlin Huang, Xuan Liu, Marshall Doyle, Thomas Lu, Edward Chow, Lianyi Chen, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…Additionally, this paper discusses the role of AI in self-optimization and lifelong learning, positing that the future of AM will be characterized by a symbiotic relationship between human expertise and advanced autonomy, fostering a more adaptive, resilient manufacturing ecosystem.…”
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A comprehensive environmental index for monitoring ecological quality of typical alpine wetlands in Central Asia by Jiudan Zhang, Junli Li, Changming Zhu, Anming Bao, Amaury Frankl, Philippe De Maeyer, Tim Van de Voorde

“…This study employed a deep-learning semantic segmentation model to map the structural changes of the Bayanbulak alpine wetland using Landsat imagery from 1977 to 2022. …”
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KEMAMPUAN LITERASI SAINS SISWA SMA DI KOTA KENDARI: DESKRIPSI & ANALYSIS by Erniwati Erniwati, Istijarah istijarah, La Tahang, Hunaidah Hunaidah, Vivi Hastuti Rufa Mongkito, Suritno Fayanto

“…Keywords—Science literacy, Physics learning …”
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Penerapan Model Technology Readiness Index untuk Mengukur Tingkat Kesiapan Mahasiswa dalam Penerimaan Sistem E-Polvot by M Khairul Anam, Fransiskus Zoromi, Soni, Torkis Nasution, Khusaeri Andesa

“…The election process offers three types of lecture schedules: regular daytime from 08:00 to 17:00, evening lectures from 17:45 to 09:30, and non-regular lectures held during weekends for distance or online learning. Consequently, regular evening and non-regular students often abstain from voting or participating in the election due to the daytime scheduling. …”
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Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm by Dong Jiang, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Zhenmeng Wang, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li

“…This model, derived from machine learning frameworks including Support Vector Machine (SVM), Logistic Regression (LR), Multilayer Perceptron (MLP), k-Nearest Neighbors (KNN), and eXtreme Gradient Boosting (XGBoost) with fivefold cross-validation, showed AUCs of 0.95 (95% CI: 0.90–0.99) and 0.87 (95% CI: 0.72–1.0) in internal validation. …”
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Relato de uma extensão em tempos de isolamento social: Criação de um recurso educacional sobre matemática na pandemia de COVID-19 by Leila Thomazelli Thieghi, Fabio Luiz Sant'Anna Cuppo

“…Throughout the text, several of the topics addressed by the project are presented, as well as its societal impact, its contribution to the learning of undergraduate students involved in the extension program, and the project's outcomes, such as invitations for lectures and interviews, culminating in the proposal of a highly useful educational resource for high school and university students and teachers. …”
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Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy by Jefferson R Wilson, David Anderson, Stephan Duplessis, Julien Cohen-Adad, David W Cadotte, Nathan Evaniew, Jacques Bouchard, Michael Craig, Abdul Al-Shawwa, Kalum Ost, Steve Casha, W Bradley Jacobs, Saswati Tripathy, Peter Lewkonia, Fred Nicholls, Alex Soroceanu, Ganesh Swamy, Kenneth C Thomas, Michael MH Yang, Nicholas Dea

“…Quantitative MRI (qMRI) metrics were derived above and below maximally compressed cervical levels (MCCLs). Various machine learning (ML) models were trained to predict 6 month neurological deterioration, followed by global and local model interpretation to assess feature importance.Results A total of 49 patients were followed for a maximum of 2 years, contributing 110 6-month data entries. …”
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Implementation of the seven steps of patient safety in primary healthcare by Nur Syarianingsih Syam, Linda Tri Maryuni, Siti Kurnia Widi Hastututi, Sely Aprianda Syah Putri

“…One of the quality management indicators is patient safety, the safety steps are building awareness of the value of patient safety, leading and supporting staff, integrating risk reporting activities, developing reporting systems, involving and communicating with patients, learning and sharing experiences about patient safety, and preventing injuries through the implementation of patient safety systems. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Additionally, researchers can investigate the application of other optimization techniques, such as machine learning algorithms, to portfolio optimization.…”
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A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

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Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…An organization that is not able to develop its organizational culture will not be able to survive, and organizational learning and learning culture have a fundamental role in the development of organizational culture in the organization. …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…These sixteen criteria are political factors, cultural factors, legal factors, financial factors, individual factors, management factors, information sources, implementation, review, feedback analysis, performance evaluation factors, risk concepts, identification of environmental issues, identification of health issues, learning Issues of safety, and added value in the supply chain of petrochemical industries with a sustainable development approach. …”
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Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions by Qing Zhu, Daniel J Jacob, Kunxiaojia Yuan, Fa Li, Benjamin R K Runkle, Min Chen, A Anthony Bloom, Benjamin Poulter, James D East, William J Riley, Gavin McNicol, John Worden, Christian Frankenberg, Meghan Halabisky

“…WETCHIMP: 190 ± 39 TgCH _4 yr ^−1 ); and (3) data-driven machine learning approach (e.g. UpCH4: 146 ± 43 TgCH _4 yr ^−1 ). …”
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Amplifying children’s leadership roles and voice in decision-making through co-production in outside of school hours care: qualitative findings from the connect promote and protect... by Alyssa C. Milton, Alyssa C. Milton, Alyssa C. Milton, Kristin Ballesteros, Helen Hernandez, Yenni Hwang, Nick Glozier, Nick Glozier, Tom McClean, Haley M. LaMonica, Haley M. LaMonica, Karen Thorpe, Karen Thorpe, Ian B. Hickie, Ian B. Hickie

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Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index by Leyi Zhang, Xia Li, Xiuhua Liu, Zhiyang Lian, Guozhuang Zhang, Zuyu Liu, Shuangxian An, Yuexiao Ren, Yile Li, Shangdong Liu

“…Additionally, a SHapley Additive eXplanation (SHAP) interpretable machine learning model was employed to identify the dominant factors and thresholds influencing the EEQ in the TNEP and its sub-regions. …”
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