BioPipeline Creator—a user-friendly Java-based GUI for managing and customizing biological data pipelines by Cléo Maia Cordeiro, Gislenne da Silva Moia, Mônica Silva de Oliveira, Lucas da Silva e Silva, Maria Paula Cruz Schneider, Sávio S. Costa, Rafael Azevedo Baraúna, Diego Assis das Graças, Artur Silva, Adonney Allan de Oliveira Veras

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Using big data analytics to improve HIV medical care utilisation in South Carolina: A study protocol by Mohammad Rifat Haider, Bankole Olatosi, Jiajia Zhang, Sharon Weissman, Jianjun Hu, Xiaoming Li

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Advanced quantitative analysis of nitrogen oxides and ozone: Integrating model reduction techniques with Deviation-Closeness Analysis by Muhammad Yaseen, Faisal Sultan, Muhammad Sohail, Yasser Elmasry

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Effective Epileptic Seizure Detection with Hybrid Feature Selection and SMOTE-Based Data Balancing Using SVM Classifier by Hany F. Atlam, Gbenga Ebenezer Aderibigbe, Muhammad Shahroz Nadeem

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Synergistic effects of iron powder on intumescent flame retardant polypropylene system

“…The effects of iron powder as a synergistic agent on the flame retardancy of intumescent flame retardant polypropylene composites (IFR-PP) were studied. The thermogravimetric analysis (TGA) and cone calorimeter (CONE) were used to evaluate the synergistic effects of iron powder (Fe). …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

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Two decades long-term field trial data on fertilization, tillage, and crop rotation focusing on soil microbes by Marie Raab, Lars Schütz, Loreen Sommermann, Doreen Babin, Ioannis Kampouris, Davide Francioli, Rita Grosch, Günter Neumann, Annette Deubel, Joerg Geistlinger, Korinna Bade, Wilfried Rozhon

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Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data by Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem

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Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, M. Abdullah-Al-Wadud, Jia Uddin

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Leveraging Machine Learning for Pediatric Appendicitis Diagnosis: A Retrospective Study Integrating Clinical, Laboratory, and Imaging Data by Mahdi Navaei, Zohre Doogchi, Fatemeh Gholami, Moein Kermanizadeh Tavakoli

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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

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Soil Organic Carbon Assessment Using Remote-Sensing Data and Machine Learning: A Systematic Literature Review by Arthur A. J. Lima, Júlio Castro Lopes, Rui Pedro Lopes, Tomás de Figueiredo, Eva Vidal-Vázquez, Zulimar Hernández

“…This Systematic Literature Review (SLR) aims to identify techniques and alternative ways to estimate SOC using Remote-Sensing (RS) spectral data and computer tools to process this database. …”
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FIVE YEAR PROGNOSIS IN PATIENTS WITH CORONARY HEART DISEASE AND COMORBIDITIES: DATA FROM MULTICENTER STUDY IN INGUSHETIA REPUBLIC by P. O. Ugurchieva, R. T. Didigova, Z. O. Ugurchieva, M. N. Mamedov

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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

“…The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. …”
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Benefits, harms, and cost-effectiveness of risk model-based and risk factor-based low-dose computed tomography screening strategies for lung cancer: a systematic review by Yin Liu, Qingchao Geng, Xin Lin, Chenxi Feng, Youlin Qiao, Shaokai Zhang

“…Studies comparing risk model-based and risk factor-based low-dose computed tomography(LDCT) screening strategies for lung cancer were included, with data extracted on study characteristics, screening criteria, and outcomes such as sensitivity, specificity, lung cancer deaths averted, false positive, biopsies, overdiagnosis, radiation-related cancer, and cost-effectiveness measures, et al. …”
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Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach by Bidur Poudel, Nischal Guruwacharya, Sunil Subedi, Ujjwol Tamrakar, Felipe Wilches-Bernal, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, Reinaldo Tonkoski

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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

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Advancing Food Consumer Science to Facilitate Health and Sustainability Transitions: Bridging Complexity, Collaboration, and Ensuring FAIR Data by Ellen van Kleef, Machiel Reinders, Elena Horská, Barbara Koroušić Seljak, Liisa Lähteenmäki, Lada Timotijevic, Hans van Trijp

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Spatio-Temporal Agnostic Sampling for Imbalanced Multivariate Seasonal Time Series Data: A Study on Forest Fires by Abdul Mutakabbir, Chung-Horng Lung, Kshirasagar Naik, Marzia Zaman, Samuel A. Ajila, Thambirajah Ravichandran, Richard Purcell, Srinivas Sampalli

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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…Also, challenges such as data imbalance and high-dimensional feature sets often hinder model performance. …”
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