To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

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Three-Dimensional Stability Lobe Construction for Face Milling of Thin-Wall Components with Position-Dependent Dynamics and Process Damping by Jinjie Jia, Lixue Chen, Wenyuan Song, Mingcong Huang

“…Comprehensive experimental validation through time-domain chatter tests demonstrates remarkable consistency between theoretical predictions and empirical chatter thresholds. The results reveal that process damping significantly suppresses chatter at low spindle speeds, while regenerative effects dominate instability at higher speeds. …”
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Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

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Prestack seismic prediction of sandstone reservoirs in the fifth member of Xujiahe Formation in Dongfengchang area of Ziyang by ZHENG Gongying, LYU Qibiao, YANG Yongjian, XU Shoucheng

Subjects: “…|channel sandstone|gather optimization processing|shear wave prediction|prestack seismic|sensitive indicator factor|the fifth member of xujiahe formation|dongfengchang area…”
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Achieving high density and controlled microstructure by predicting hot deformation behavior of low-cost powder metallurgy Ti-5553 alloy by Krystian Zyguła, Oleksandr Lypchanskyi, Kamil Cichocki, Grzegorz Korpała, Marek Wojtaszek, Ulrich Prahl

“…The FEM simulations facilitated the design of a hot forging process. The hot forging tests confirmed the successful densification and microstructure evolution as predicted by the processing maps, driven mainly by dynamic recovery (DRV) leading to continuous dynamic recrystallization (CDRX). …”
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Apollon Mark: bounce mark visualization system for ball sports judgement using prediction-based preceding mirror control by Himari Tochioka, Tomohiro Sueishi, Masatoshi Ishikawa

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Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms by Jorge Enrique Chaparro, José Edinson Aedo, Felipe Lumbreras Ruiz

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Viscosity reduction and stability study of Indian heavy crude oil/water emulsion using hydrogenated castor oil ethoxylate with 40 moles of ethylene oxide as surfactant by Shreyas Desai, Mousumi Chakraborty, Arun Kumar Jana, Himanshu P. Kohli

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An integrated geographic information system (GIS) and analytical hierarchy process (AHP)-based approach for drone-optimized large-scale flood imaging by Muhammad Farhan Nazir, Salman Atif, Ejaz Hussain

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AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

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Can One Predict Coronal Mass Ejection Arrival Times With Thirty‐Minute Accuracy? by Gábor Tóth, Bart van derHolst, Ward Manchester IV

“…Schmidt and Cairns (2019, https://doi.org/10.48550/arXiv.1905.08961) have recently claimed that they can predict Coronal Mass Ejection (CME) arrival times with an accuracy of 0.9 ± 1.9 hr for four separate events. …”
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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…To address these issues, we introduce a hybrid machine learning (ML) framework that integrates the Wolf Pack Search Algorithm Dynamic Random Forest (WPSA-DRF) with a RoBERTa-based LLM to enhance the accuracy of cardiovascular disease predictions. Using advanced NLP techniques, including biomedical text mining, entity recognition, and feature extraction, the system processes structured and unstructured clinical data to detect abnormalities associated with sudden cardiac arrest (SCA), arrhythmias, and genetic cardiomyopathies. …”
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Deep Learning-Based Detection of Honey Storage Areas in <i>Apis mellifera</i> Colonies for Predicting Physical Parameters of Honey via Linear Regression by Watit Khokthong, Panpakorn Kritangkoon, Chainarong Sinpoo, Phuwasit Takioawong, Patcharin Phokasem, Terd Disayathanoowat

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Prediction of Lupus Classification Criteria via Generative AI Medical Record Profiling by Sandeep Nair, Gerald H. Lushington, Mohan Purushothaman, Bernard Rubin, Eldon Jupe, Santosh Gattam

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Adaptive AI-Driven Toll Management: Enhancing Traffic Flow and Sustainability Through Real-Time Prediction, Allocation, and Task Optimization by Satendra Chandra Pandey, Vasanthi Kumari P

Subjects: “…toll processing optimization…”
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Spiked Dirichlet Process Priors for Gaussian Process Models by Terrance Savitsky, Marina Vannucci

“…Our simulation results, in particular, show a reduction in posterior sampling variability and, in turn, enhanced prediction performances. …”
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Elimination of metoclopramid by the adsorption process (GAC) and ozone process by Oussama Khemis, Gabriel Racovițeanu, Elena Vulpașu

“…This study investigated the reduction of a pharmaceutical substance metoclopramid during two simultaneous processes (ozone process and adsorption process) applied in a large-scale drinking water treatment pilot with two different EBCTs (3 minutes and 6 minutes), and the initial concentrations used were 1.6 mg/l, 0.8 mg/l, and 0.4 mg/l. we chose ozonation, which produces many hydroxyl radicals to decompose the pharmaceutical substance metoclopramide to eliminate it, and for the adsorption process, we chose granular activated carbon with a high capacity for adsorption.…”
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Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning by Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa

“…Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as systems approach exa-scale operations. …”
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Peak Shaving Strategy in the Context of the Charging Process of a Battery Energy Storage System in the Railway Microgrid by Piotr Obrycki, Krzysztof Perlicki, Marek Stawowy

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Optimization of wastewater treatment plant based on polymer and electricity consumption - A case study of Finland by Ana Carolina Méndez-Ecoscia, Francisco Javier Farfan Orozco, Carl-Eric Wilén, Henrik Saxén

Subjects: “…wastewater treatment; process optimization; kinetics; stability; polymer; electricity; cost reduction; environment.…”
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