Segmentasi Data Sinyal EEG Berdasarkan Domain Waktu Sebagai Dasar Dalam Pengolahan Sinyal Pengambilan Keputusan Dalam Rehabilitasi Stroke by MY Teguh Sulistyono, Dyah Ernawati, Stalina Anggraeny Dewi Amodia, Davin Hernanda Putra

“…Unruk menghindari hal tersebut dibutuhkan alat EEG untuk mengambil aktivitas gelombang otak yang hasil pengambilan data tersebut dalam bentuk data mentah. Data mentah agar dapat dihasilkan untuk proses analisis diperlukan pemrosesan sinyal yang terdiri dari band pass filter, cleaning data, segmentasi dan decomposisi. …”
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Photovoltaic module dataset for automated fault detection and analysis in large photovoltaic systems using photovoltaic module fault detectionMendeley Data by Rotimi-Williams Bello, Pius A. Owolawi, Etienne A. van Wyk, Chunling Du

“…Because the data comes from a single-day collection and one week laboratory experiment, it makes the data more suitable for testing algorithms designed for fault detection. …”
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Shared Genetic Characteristics of Coronary Artery Disease and Peripheral artery Disease: Insights From Integrated Bioinformatics Analysis of RNA-Sequencing Data by Abdul Qadir Nawabi, Lijuan Chen

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Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

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From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories. by B Eugene Smith, Mark K Johnston, Robert Lücking

“…As a novel approach, we employed Principal Component Analysis on the environmental grid data used for predictive modeling to visualize potential ecogeographical barriers for the target species; we found that tropical regions conform a strong barrier, explaining why potential niches in the Southern Hemisphere were not colonized by Usnea longissima and instead by morphologically similar species. …”
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Application of Machine Learning Algorithms in Nitrous Oxide (N₂O) Emission Estimation in Data-Sparse Agricultural Landscapes by Uttam Ghimire, Waqar Ashiq, Asim Biswas, Wanhong Yang, Prasad Daggupati

“…The results indicated that MLR was inapplicable as the data did not satisfy its fundamental assumptions. …”
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Virtual Reality Interventions of Daily Versus Weekly Data Collection in Patient-Reported Outcomes Among Adults With Cancer: Pilot Survey Study by Matthew Browning, Olivia McAnirlin, Fu Li, Jeffrey Bertrand, Denise Davis, Kapil Madathil, George Fredric Mau, Teny Henry Gomez

“…Daily outcomes were captured via in-device pre-post surveys. Data were analyzed descriptively, using visual trend comparisons to explore patterns. …”
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Validity Assessment of the Swiss Orthopaedics Minimal Data Set compared to the subjective shoulder value for rotator cuff repair in relation to Constant score by Daniel Felbar, Vilijam Zdravkovic, Andreas Mueller, Laurent Audigé, Alexandre Lädermann, Claudio Rosso, ARCR_Pred Study Group, Bernhard Jost

“…Purpose: This study examines the validity of the Swiss Orthopaedics Minimal Data Set (SOMDS) compared to the subjective shoulder value (SSV) for shoulder pathology in relation to Constant score in patients undergoing arthroscopic rotator cuff reconstruction. …”
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Changing-look Active Galactic Nuclei from the Dark Energy Spectroscopic Instrument. II. Statistical Properties from the First Data Release by Wei-Jian Guo, Hu Zou, Claire L. Greenwell, David M. Alexander, Victoria A. Fawcett, Zhiwei Pan, Małgorzata Siudek, Jessica Nicole Aguilar, Steven Ahlen, David Brooks, Todd Claybaugh, Kyle Dawson, Axel de la Macorra, Peter Doel, Andreu Font-Ribera, Enrique Gaztañaga, Satya Gontcho A Gontcho, Gaston Gutierrez, Robert Kehoe, Theodore Kisner, Martin Landriau, Laurent Le Guillou, Marc Manera, Aaron Meisner, Ramon Miquel, John Moustakas, Francisco Prada, Graziano Rossi, Eusebio Sanchez, Michael Schubnell, David Sprayberry, Jipeng Sui, Gregory Tarlé, Benjamin Alan Weaver, Yun-Ao Xiao, Siwei Zou

“…We present the identification of changing-look active galactic nuclei (CL-AGNs) from the Dark Energy Spectroscopic Instrument First Data Release and Sloan Digital Sky Survey Data Release 16 at z ≤ 0.9. …”
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EPOCHS. I. The Discovery and Star-forming Properties of Galaxies in the Epoch of Reionization at 6.5 < z < 18 with PEARLS and Public JWST Data by Christopher J. Conselice, Nathan Adams, Thomas Harvey, Duncan Austin, Leonardo Ferreira, Katherine Ormerod, Qiao Duan, James Trussler, Qiong Li, Ignas Juodžbalis, Lewi Westcott, Honor Harris, Louise T. C. Seeyave, Asa F. L. Bluck, Rogier A. Windhorst, Rachana Bhatawdekar, Dan Coe, Seth H. Cohen, Cheng Cheng, Simon P. Driver, Brenda Frye, Lukas J. Furtak, Norman A. Grogin, Nimish P. Hathi, Benne W. Holwerda, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Mario Nonino, Aaron Robotham, Jake Summers, Stephen M. Wilkins, Christopher N. A. Willmer, Haojing Yan, Adi Zitrin

“…We present in this paper the discovery, properties, and a catalog of 1165 high-redshift 6.5 <  z  < 18 galaxies found in deep JWST NIRCam imaging from the GTO PEARLS survey combined with data from JWST public fields. We describe our bespoke homogeneous reduction process and our analysis of these areas including the NEP, CEERS, GLASS, NGDEEP, JADES, and ERO SMACS-0723 fields with over 214 arcmin ^2 imaged to depths of ∼30 mag. …”
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Using New York City’s Geographic Data in an Innovative Application of Generative Adversarial Networks (GANs) to Produce Cooling Comparisons of Urban Design by Yuanyuan Li, Lina Zhao, Hao Zheng, Xiaozhou Yang

“…We utilize multi-source geographic data, including LiDAR derived land cover, OpenStreetMap data, and building footprint data, together with LST data retrieved from Landsat imagery, to develop a prediction model based on generative adversarial networks (GANs). …”
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Pooling the complex survey data across the 64 lower and middle-income countries: A study on antibiotic usage in under-five children by Md Fakrul Islam, Prosenjit Basak Arka, Mahfuzer Rohman, Md Sabbir Hossain, Md Rashed Babu, Hasin Anupama Azhari, Md Jamal Uddin

“…Findings: We used data from 141,018 children under five who were reported to have had fever/cough recently in 64 LMICs. …”
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Design and implementation of a solar powered kit for measurement and logging of environmental parameters using the SEN55 sensor by J. Nchi Muhvu, M.D. Fendji, C.M. Ekengoue

“…The device measures particulate matter (PM1, PM2.5, PM4, PM10), humidity, temperature, volatile organic compounds (VOC), and nitrogen oxides (NOx), with data logged via an ATmega2560 microcontroller and displayed for real-time visualization. …”
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InterTransViewer: a comparative description of differential gene expression profiles from different experiments by А. V. Tyapkin, V. V. Lavrekha, E. V. Ubogoeva, D. Yu. Oshchepkov, N. A. Omelyanchuk, E. V. Zemlyanskaya

“…In this paper, we propose a set of quantitative indicators for a comprehensive comparative description of transcriptomic data. These indicators can be easily visualized and interpreted. …”
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Assessing the factors militating against the effective implementation of electronic health records (EHR) in Nigeria by Abisola Esther BABATOPE, Idowu Peter ADEWUMI, Damola Olanipekun AJISAFE, Kayode Olayiwola ADEPOJU, Adetola Rachael BABATOPE

“…Purposive sampling was adopted to select the study participants, and a structured questionnaire was used for data collection. Statistical Product and Service Solutions (SPSS) version 27 was used for data analysis, R and Microsoft Excel were used for data visualization. …”
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Exploring the Spatial Distribution Mechanisms of Restaurants Across Different Urban Morphologies: A Macau Case Study Using Space Syntax and Big Data by Linglin Zhang, Pohsun Wang, Junling Zhou, Yulin Zhao

“…Syntactic parameters and Dianping data are analyzed through geographic visualization, correlation analysis, and descriptive statistics. …”
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Kalman Filter-Enhanced Data Aggregation in LoRaWAN-Based IoT Framework for Aquaculture Monitoring in <i>Sargassum</i> sp. Cultivation by Misbahuddin Misbahuddin, Nunik Cokrowati, Muhamad Syamsu Iqbal, Obie Farobie, Apip Amrullah, Lusi Ernawati

“…The system employs water quality sensors—including temperature, salinity, light intensity, dissolved oxygen, total dissolved solids, and pH—deployed in 6 out of 14 cultivation containers. Sensor data are transmitted via LoRaWAN to The Things Network (TTN) and processed through an MQTT-based pipeline in Node-RED before visualization in ThingSpeak. …”
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Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis by Georgios Lampropoulos, Georgios Evangelidis

“…The real-time identification, tracking, monitoring, analysis, and visualization of multimodal learning data of students’ behavior, emotions, cognitive and affective states and the overall learning and teaching processes emerged as a significant benefit that contributes greatly to the realization of adaptive and personalized learning. …”
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Combined localization method of roadheader based on vision and inertial navigation by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Zheng DONG, Yuyang DU, Mengyu LEI, Xin CHEN, Junhao YANG

“…The Lagrange three-point interpolation method is used to register the visual pose data and the inertial pose data in time. …”
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Juniper: A 3D plotting framework for effective multi-dimensional scatterplots by Philippos Papaphilippou

“…Computationally and data intensive workloads including design space explorations or large studies often lead to multi-dimensional results, which are often not trivial to digest with conventional plotting software. 3D scatterplots can be a powerful technique to visualise and explore such datasets, especially with the help of colour mapping and other approaches to represent more than the 3 Cartesian dimensions. …”
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