Retrieval-Augmented Generation to Generate Knowledge Assets and Creation of Action Drivers by Antony James, Marcello Trovati, Simon Bolton

“…Methodologies for effective data preprocessing, semantic-aware chunking, and retrieval strategies—such as multihop retrieval and reranking—are also discussed to address challenges such as irrelevant retrieval and semantic fragmentation. This work further examines embedding models, notably the use of state-of-the-art vector representations, to facilitate precise similarity searches within knowledge bases. …”
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Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning by Bagdaulet Kenzhaliyev, Timur Imankulov, Aksultan Mukhanbet, Sergey Kvyatkovskiy, Maral Dyussebekova, Nurdaulet Tasmurzayev

“…By integrating ML models with a systematic hyperparameter optimization approach, this work advances the potential for sustainable and precise metallurgical processes. …”
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Vowel recognition based on acoustic and visual features by P. DALKA, B. KOSTEK, A. CZYŻEWSKI

“…The aim of the research work presented is to show a system that may facilitate speech training for hearing impaired people. …”
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CHOOSING THE TEST AUTOMATION SYSTEM ACCORDING TO CUSTOMER REQUIREMENTS by Andrei Popov, Myroslav Momot, Alina Yelizieva

“…The proposed algorithm for determining the re-recommended system of test automation allows us to take into account the vectors of criteria for testing systems. On the basis of the formalized model and algorithm we developed a subsystem that allows us to determine the optimal variant of test automation system on the basis of the introduced selection criteria. …”
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Recapitulation of physiologic and pathophysiologic pulsatile CSF flow in purpose-built high-throughput hydrocephalus bioreactors by Ahmad Faryami, Adam Menkara, Shaheer Ajaz, Christopher Roberts, Ryan Jaroudi, Blake Gura, Tala Hussini, Carolyn A. Harris

“…The impact of the internal geometry of the chamber types on flow vectors during pulsatile physiologic and pathophysiologic flow was visualized using Computational Fluid Dynamics (CFD). …”
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Adaptive Energy Management for MATTER-Enabled Smart Homes by Navodit Bhardwaj, Pallavi Joshi

“…The energy demand prediction module employs a stacked ensemble learning model combining Random Forest Regression, Support Vector Regression, Gradient Boosting Machines, and AdaBoost with a meta-learner, achieving a prediction accuracy of 92%. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…The construction of geoinformation models was carried out using the calculation of rasters obtained as a result of vector-raster transformations of the boundaries of ATD units. …”
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On Extended d-D Kappa Distribution by Arak M. Mathai, Hans J. Haubold

“…After pointing out the connection of multivariate (vector-variate) kappa distributions to the multivariate pathway model, the multivariate kappa distribution is extended to the real matrix-variate case by working out the various forms and by evaluating the normalizing constants of the various forms of the matrix-variate case explicitly. …”
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Simplified method for analytically determining the external magnetostatic field of uncertain extended technical objects based on near-field measurements by B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets, I. V. Nefodova

“…Geometric inverse problems of magnetostatics for solving prediction and control problems of magnetic silence of technical object calculated based on vector games solution. Both vector games payoff calculated as forward problems solutions Wolfram Mathematica software package used. …”
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

“…Again, this research used a strong methodology by incorporating Machine learning (ML) algorithms, such as: Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Machine (SVM), and Linear Regression Model (LRM), were applied to forecast and confirm the quality of the water. …”
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Creative design of digital media art based on computer visual aids by Luo Kun, Tao Ran

“…Through multistage iterative optimization, efficient art generation and personalized style customization are achieved. The model uses an automated generation module to generate a draft and guides the conditional vector to achieve fine-grained adjustment of the image so that the work maintains both technical innovation and the artist’s unique style. …”
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Ecology of Gene Drives: The Role of Density‐Dependent Feedbacks on the Efficacy and Dynamics of Two‐Locus Underdominance Gene Drive Systems by Ziqian Xu, Michael B. Bonsall

“…This process is widely observed in insect populations, including vectors such as mosquitoes and agricultural pests that are targets of genetic biocontrol using gene drive technologies. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…Abstract Customer turnover is a crucial issue in banking since maintained profitability depends on keeping clients. This work aims to categorize consumer turnover in banks by using a new ensemble approach combining many machine learning methods, hence enhancing churn prediction models. …”
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Quantum Algorithm for Solving the Wave Equation on a Hexagonal Grid by Roman Novak

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Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers by Eros Fani, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

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Lattice protein folding with variational annealing by Shoummo A Khandoker, Estelle M Inack, Mohamed Hibat-Allah

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Delta-Adjust: Minimum Distance Interpolation by Ziad F. Doughan, Sari S. Itani

“…We present Delta-Adjust, a novel interpolation method that extends local neighborhood interpolation techniques by introducing per-feature neighbor selection and feature-vector difference bias adjustment. Unlike conventional prediction models, Delta-Adjust operates without explicit training phases. …”
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Thick-walled spherical shell problem by A. M. Artemov, E. S. Baranovskii, A. A. Verlin, E. V. Syomka

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Artificial Intelligence-Based Transmission Frequency Prediction in Cable Systems Using Electromagnetic Field Data by Abbas Seif, Hamid Radmanesh, Amir Ahmarinejad, Ahmad Ali Ashrafian

“…This work advances applications in electrical and telecommunications engineering, emphasizing scalable, intelligent solutions for electromagnetic analysis.…”
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From knowledge graph construction to retrieval-augmented generation: a framework for comprehensive earthquake emergency support by Liwei Yao, Fu Ren, Kaixuan Du, Qingyun Du

“…To address these challenges, this study proposes a structured framework integrating large language models (LLMs) with knowledge representation techniques to systematically construct domain-specific knowledge graphs (KGs) tailored explicitly for earthquake emergency scenarios. …”
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