Pemodelan Kausal Faktor-Faktor Beban Keluarga dalam Merawat Pasien Kanker Menggunakan Algoritma S3C-Latent by Rizki Surtiyan Surya, Christantie Effendy, Ridho Rahmadi

“…This study uses a causal modeling algorithm called Stable Specification Search for Cross-sectional Data with Latent Variable (S3C-Latent) to obtain a causal model between the relevant caregiver family load factors. …”
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Recording dan Pencarian Silsilah Kambing Perah Menggunakan Algoritme Depth First Search by Rizki Wahyudi, Muhammad Iqbal, Lussy Dwi Oktaviana

“…To solve the problem, a Recording system is built for website-based livestock data logging and for genealogical search will use the Depth first search algorithm. In order for the research to be directed, this research uses waterfall method with stage requirement analysis, design, implementation, testing, and maintenance. …”
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Identification and Spatial Mapping of Locality of Streetscapes in Shanghai Hengfu Historic and Cultural Preservation Area by Yuhan SHAO, Sinan YIN, Dongbo MA, Yuting YIN

“…Constrained by the accuracy of the algorithm model adopted and the availability of the streetscape image data collected, there may exist slight error in the analysis results. …”
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Deteksi Covid-19 pada Citra Sinar-X Dada Menggunakan Deep Learning yang Efisien by Novanto Yudistira, Agus Wahyu Widodo, Bayu Rahayudi

“…However, besides requiring an algorithm model that can produce high accuracy, lightweight computation is needed so that it can be applied in a detector. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

“…L’objectif de l’étude était d’évaluer les effets de l’implémentation d’un algorithme de la sédation sur la durée de ventilation mécanique. …”
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An Overview of Solar Orbiter Observations of Interplanetary Shocks in Solar Cycle 25 by Domenico Trotta, Andrew Dimmock, Heli Hietala, Xochitl Blanco-Cano, Timothy S. Horbury, Rami Vainio, Nina Dresing, Immanuel Christopher Jebaraj, Francisco Espinosa Lara, Raúl Gómez-Herrero, Javier Rodriguez-Pacheco, Yulia Kartavykh, David Lario, Jan Gieseler, Miho Janvier, Milan Maksimovic, Nasrin Talebpour Sheshvan, Christopher J. Owen, Emilia K. J. Kilpua, Robert F. Wimmer-Schweingruber

“…Finally, we give details and guidance on the access use of the present survey, available on the EU-project “Solar Energetic Particle Analysis Platform for the Inner Heliosphere” website. The algorithm used to identify shocks in large data sets, now publicly available, is also described.…”
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WALLABY Pilot Survey: Star Formation Enhancement and Suppression in Gas-rich Galaxy Pairs by Qifeng Huang, Jing Wang, Xuchen Lin, Se-Heon Oh, Xinkai Chen, B. Catinella, N. Deg, H. Dénes, B. -Q. For, B. S. Koribalski, K. Lee-Waddell, J. Rhee, A. X. Shen, Li Shao, K. Spekkens, L. Staveley-Smith, T. Westmeier, O. I. Wong, A. Bosma

“…We obtain individual masses of atomic hydrogen (H i ) for these paired galaxies using a novel deblending algorithm for H i data cubes. Quantifying the interaction stages and strengths with parameters motivated by first-principles analysis, we find that, at fixed stellar and H i mass, the alteration in the SFR of galaxy pairs starts when their dark matter halos are encountered. …”
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Discovering Large-scale Structure at 2 < z < 5 in the C3VO Survey by Denise Hung, Brian C. Lemaux, Olga Cucciati, Ben Forrest, Ekta A. Shah, Roy R. Gal, Finn Giddings, Derek Sikorski, Emmet Golden-Marx, Lori M. Lubin, Nimish Hathi, Giovanni Zamorani, Lu Shen, Sandro Bardelli, Letizia P. Cassarà, Gabriella De Lucia, Fabio Fontanot, Bianca Garilli, Lucia Guaita, Michaela Monika Hirschmann, Kyoung-Soo Lee, Andrew B. Newman, Vandana Ramakrishnan, Daniela Vergani, Lizhi Xie, Elena Zucca

“…We also apply the same technique to mock observations of simulated galaxies with properties derived from the GAlaxy Evolution and Assembly semianalytic model in order to judge the effectiveness of our search algorithm as a function of redshift, total mass, and fraction of spectroscopic redshifts. …”
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Reframing the filter bubble through diverse scale effects in online music consumption by Dougal Shakespeare, Victor Chareyron, Camille Roth

“…Abstract The impact of platforms’ algorithmic curation devices on users’ consumption diversity has long since been the subject of debate in popular culture and academia alike. …”
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Multi-level high utility-itemset hiding. by Loan T T Nguyen, Hoa Duong, An Mai, Bay Vo

“…To address this issue, this work suggests two PPUM algorithms, namely MLHProtector and FMLHProtector, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”
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A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

“…Support vector machine (SVM) and optimization algorithms (Wrapper) were found to be the best learner and feature selection techniques, respectively, out of all the available feature selection algorithms. …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…Our policy recommendations draw on the results of the algorithmic predictions.…”
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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

“…This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing from midwife-led continuity care (MLCC). …”
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CONCEPTUAL MODEL FOR ENERGY-EFFICIENCY MANAGEMENT IN STEAM-POWER PLANTS by OGNYAN DINOLOV

“… An aggregate algorithmized conceptual model for controlling the energy efficiency in the steam-power plants, with taking into account the deviations in the qualitative characteristics of the used fuel, is proposed and justified. …”
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Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging by Takashi Matsuda, Ryo Hayakawa, Youji Iiguni

“…Simulation results show that the trained noise level parameters via the proposed approach exhibit a non-monotonic pattern, which is different from the assumptions in the conventional convergence analyses of PnP-based algorithms. These findings provide new insights into both the application of deep unfolding and the theoretical basis of PnP algorithms.…”
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SpatialLeiden: spatially aware Leiden clustering by Niklas Müller-Bötticher, Shashwat Sahay, Roland Eils, Naveed Ishaque

“…Leiden clustering is one of the algorithms of choice in the single-cell community. In the field of spatial omics, Leiden is often categorized as a “non-spatial” clustering method. …”
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Better Evidence and UpToDate Training Module 3: Additional UpToDate Functionality by Kabale University Library

“…This module explains Drug Database and Drug Interactions,How to use Clinical Calculators and Graphics and Algorithms…”
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Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…In SQL (Structured Query Language) databases different algorithms are used for inserting and updating data, such as indexing, bulk insert and multiple updating. …”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…By using task distribution and reward shaping, our experiments on Meta-RL algorithms, RL², and VariBAD achieve superior sample efficiency and adaptability for varying degrees of imbalance. …”
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