A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management by Almusawi Muntather, Ameer S. Abdul, Lalitha Yaragudipati Sri

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

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Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient <i>R</i>² on Unseen Data by Anthony Torres-Hernandez, Rafael Ramirez-Melendez, Fernando Brambila-Paz

“…The methodology for constructing these fractional regression models is presented along with examples applicable to both Riemann–Liouville and Caputo fractional operators, where some results show that regions with initially negative or near-zero <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values exhibit remarkable improvements after the application of the fractional operator, with absolute relative increases exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>800</mn><mo>%</mo></mrow></semantics></math></inline-formula> on unseen data. …”
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Probabilistic Uncertain Linguistic VIKOR Method for Teaching Reform Plan Evaluation for the Core Course “Big Data Technology and Applications” in the Digital Economy Major by Wenshuai Wu

“…The reform of the teaching plan for the core course “big data technology and applications” in the digital economy major has become a globally recognized challenge. …”
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Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll <i>a</i> concentration in the Black Sea by A. Barth, J. Brajard, A. Alvera-Azcárate, B. Mohamed, C. Troupin, J.-M. Beckers

“…Different methods have been proposed in the literature to reconstruct missing data in satellite observations. For many applications of satellite observations, it has been increasingly important to accurately reflect the underlying uncertainty of the reconstructed observations. …”
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A novel divergence measure in Dempster–Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion by Shijun Xu, Yi Hou, Xinpu Deng, Peibo Chen, Kewei Ouyang, Ye Zhang

“…Dempster–Shafer (D–S) evidence theory is more and more extensively applied in multi-sensor data fusion. However, it is still an open issue that how to effectively combine highly conflicting evidence in D–S evidence theory. …”
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3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

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A Systematic and General Machine Learning Approach to Build a Consistent Data Set from Different Experiments: Application to the Thermal Conductivity of Methane by Matheus Máximo-Canadas, Julio Cesar Duarte, Jakler Nichele, Leonardo Santos de Brito Alves, Luiz Octavio Vieira Pereira, Rogerio Ramos, Itamar Borges

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The development and application of a mobile-based data collection system for a growth monitoring programme in selected primary care centres in the Republic of Mauritius by Ana Irache, Raveena Murachpersad, Rishi Caleyachetty

“…We describe the development and application of a mobile-based data collection system in near real-time for children aged 0–5 years attending government growth monitoring sessions in selected primary care centres in the Republic of Mauritius. …”
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Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network by Xingye HUANG

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Integrating ground-based and satellite rainfall data for hydrological modeling: A SWAT+ application with sensitivity analysis in the Saguling Watershed, Citarum River Basin by Hadi Kardhana, Faizal Immaddudin Wira Rohmat, Muhammad Farras Adiprayoga, Anita Nurhami, Solehudin, Winda Wijayasari, Sari Kurniawati, Riska Hilmi Mutiawati

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Enhanced frame expansion via configuring filterbank topology for rapid processing of multi-sensor vibration data with applications to turbo-machinery fault diagnosis by Wangpeng He, Yunyi Yan, Lu An, Wei Sun, Baolong Guo

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A discrete extension of the Xgamma random variable: mathematical framework, estimation methods, simulation ranking, and applications to radiation biology and industrial engineering data by Mohamed S. Algolam, Mohamed S. Eliwa, Mohamed El-Dawoody, Mahmoud El-Morshedy

“…Count data modeling and its practical applications have garnered significant attention in recent research, owing to its relevance in a wide range of fields. …”
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A compact microstrip antenna with dual thin slits for high-capacity data streaming in the 38 and 39 GHz bands for 5G applications by AbdulGuddoos S.A. Gaid, Ala'a N.S. Ali, Mohammad Ahmed Alomari

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Simulating fluvial sediment pulses using remote sensing and machine learning: Development of a modeling framework applicable to data rich and scarce regions by Abhinav Sharma, Celso Castro-Bolinaga, Natalie Nelson, Aaron Mittelstet

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Risk factors for non-communicable diseases among Bangladeshi adults: an application of generalised linear mixed model on multilevel demographic and health survey data by Kazi Sabbir Ahmad Nahin, Tabita Jannatul

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Two‐period linear mixed effects models to analyze clinical trials with run‐in data when the primary outcome is continuous: Applications to Alzheimer's disease by Guoqiao Wang, Andrew J. Aschenbrenner, Yan Li, Eric McDade, Lei Liu, Tammie L.S. Benzinger, Randall J. Bateman, John C. Morris, Jason J. Hassenstab, Chengjie Xiong

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QoS Based IoT Applications in LoRa Networks Using Multi-Dimensional Allocation Strategy by Ghassan El Helou, Marc Ibrahim, Rami Tawil, Yasser Mohanna

“…With forecasts suggesting an unprecedented 500 billion IoT devices interconnected by 2030, the demand for efficient IoT applications has never been greater. LoRa technology offers low-power, long-range data transmission, addressing key requirements of IoT applications such as smart cities, agriculture, and industrial automation. …”
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Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER by S. Van Mulders, F. Felici, S.C. McIntosh, F. Carpanese, C.E. Contré, R. Coosemans, O. Kudláček, F. Pastore, S.D. Pinches, M. Reisner, O. Sauter

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IoT-driven real-time weather measurement and forecasting mobile application with machine learning integration by Jul Jalal Al-Mamur Sayor, Nishat Tasnim Shishir, Bitta Boibhov Barmon, Sumon Ahemed, Md. Moshiur Rahman

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