Weather Classification in West Java using Ensemble Learning on Meteorological Data by Cynthia Nur Azzahra, Yulison Herry Chrisnanto, Gunawan Abdillah

“…This study aims to improve classification accuracy by proposing a stacking classifier approach that combines Support Vector Machine (SVM) and Random Forest as base learners, with Logistic Regression serving as the meta-classifier. …”
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Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France by Michael Vincent Tubog, Karine Emsellem, Stephane Bouissou

“…This study aimed to develop a semi-automatic method for detecting and mapping terraced areas using LiDAR and orthophoto data from French repositories, processed with GIS and analyzed through a Support Vector Machine (SVM) classification algorithm. …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…This paper presents an enhanced meta-review of artificial intelligence (AI) applications in serious games (SGs) for health, focusing on adaptation, personalisation, and real-time data processing to improve rehabilitation outcomes. A systematic review methodology, following PRISMA-ScR guidelines, was employed to analyse studies from 2017 to 2025, identifying the AI algorithms most frequently used to personalise gaming experiences, improve patient engagement, and increase treatment efficacy. …”
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The thorny path of the Russian sociology sovereignty: History, the present time and prospects by S. A. Kravchenko

“…There is a need for a complex path of sovereignty for Russian sociology: its contradictory processes are clear in the confrontation of Slavophilism, Westernism and Eurasianism at different stages of the country’s historical development. …”
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A Unified Denoising Framework for Restoring the LiDAR Point Cloud Geometry of Reflective Targets by Tianpeng Xie, Jingguo Zhu, Chunxiao Wang, Feng Li, Zhe Meng

“…These challenges present substantial obstacles to point cloud processing and its applications. In this paper, we propose a Unified Denoising Framework (UDF) aimed at removing noise and restoring the geometry of reflective targets. …”
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BIBLIOMETRIC ANALYSIS OF THE WORLD SCIENTIFIC PRODUCTION IN CHEMICAL ENGINEERING DURING 2000-2011. PART 3: ANALYSIS OF RESEARCH TRENDS AND HOT TOPICS by Esther García-carpintero, Ruben Miranda

“…Furthermore, a total of ten hotspots in the area have been identified: hydrogen as a new energy vector, wastewater treatments, carbon dioxide (capture and sequestration), photocatalysis, nanoparticles, biodiesel, nanotubes, ionic liquids, advanced oxidation processes, membranes, fuel cells and the use of biomass as raw material (e.g. bioethanol, energy production, etc.). …”
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Integration and evaluation of magnetic stimulation in physiology setups. by Malte T Ahlers, Christoph T Block, Michael Winklhofer, Martin Greschner

“…Further, studies with immediate gene expression markers have identified putative brain regions involved in magnetic information processing. In contrast, very little is known about the physiology of the magnetic sense and how the magnetic field is neuronally encoded. …”
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A User-Centric Smart Library System: IoT-Driven Environmental Monitoring and ML-Based Optimization with Future Fog–Cloud Architecture by Sarkan Mammadov, Enver Kucukkulahli

“…Environmental factors—including air quality, sound, temperature, humidity, and lighting—were monitored using microcontrollers and image processing. User feedback was collected via surveys and incorporated into models trained using Logistic Regression, Decision Trees, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNNs), Extreme Gradient Boosting (XGBoost), and Naive Bayes. …”
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A novel spectral transformation technique based on special functions for improved chest X-ray image classification. by Abeer Aljohani

“…The performance of these spectral moments is checked in Support vector machine and Random forest algorithm. The efficiency and accuracy of the proposed method is presented in details. …”
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The Conceptual Foundations of the Formation of an Ecosystem of Innovations in Agribusiness by Kyfyak Viktoriia I.

“…In this context, the article proposes a multi-vector approach that takes into account the peculiarities of institutional support, private initiatives, as well as the impact of education and science on the development of agrarian innovations. …”
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Understanding the dynamics of financial and economic crises: a comprehensive analysis by Mekki Hamdaoui, Abderraouf Mtiraoui, Zohra Aroussi, Mounir Smida

“…The empirical investigation incorporates a simultaneous equation, Bayesian Model Averaging (BMA) approach, a Panel Autoregressive Vector (P-VECM), an Autoregressive Distributed Lag (ARDL) technique, as well as Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS) methods. …”
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Intelligent policy framework: Natural resource conservation, knowledge and big data analytics by Nina Xiao, Xianhe Qu

“…To enhance the reliability of the results, this study employed two algorithms: Bayesian inference and a weighted Support Vector Machine (SVM) algorithm based on the grey relational analysis. …”
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A Lightweight Deep Learning Model for Profiled SCA Based on Random Convolution Kernels by Yu Ou, Yongzhuang Wei, René Rodríguez-Aldama, Fengrong Zhang

“…In this article, a DL-SCA model is proposed by introducing a non-trained DL technique called random convolutional kernels, which allows us to extract the features of leakage like using a transformer model. The model is then processed by a classifier with an attention mechanism, which finally outputs the probability vector for the candidate keys. …”
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A Study of the effect of eigenvalues on the Moore Gibson Thompson model under photoacoustic excitation of semiconductors by A. El-Dali, Mohamed I. A. Othman, Esraa M. Gamal, Soliman Alkhatib

“…The governing equations are formulated using a modified photo-excitation model, where (MGT) equation represents the heat conduction during processes of optical transport. This model represents the coupling between plasma, thermal, mechanical-elastic, and acoustic wave propagation. …”
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Designing Predictive Analytics Frameworks for Supply Chain Quality Management: A Machine Learning Approach to Defect Rate Optimization by Zainab Nadhim Jawad, Balázs Villányi

“…The framework employs advanced ML algorithms, including extreme gradient boosting (XGBoost), support vector machines (SVMs), and random forests (RFs), to accurately predict defect rates and derive actionable insights for supply chain optimization. …”
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Machine learning framework to estimate ridership loss in public transport during external crises: case study of bus network in Stockholm by Mahsa Movaghar, Erik Jenelius, David Hunter

“…Abstract Recent technologies for recording and storing data, as well as advancements in data processing techniques, have opened up novel possibilities for urban planners to design a more optimal public transport network. …”
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IRON DEFICIENCY ANEMIA AND ANEMIA OF CHRONIC DISEASES: SOME ASPECTS OF THE PATHOGENESIS AND PROSPECTS OF DIFFERENTIAL DIAGNOSIS by Сатеник Аршавиловна Клочкова-Абельянц, Галина Северьевна Суржикова

“…Soluble transferrin receptors (rTFR) and the content of hepcidin-25 were determined by an enzyme immunoassay method using test systems of JSC Vector-Best and Peninsula Laboratories, LLS. Main results. …”
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Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction by Nan Zhou, Jin Hong, Bo Song, Shichao Wu, Yichen Wei, Tao Wang

“…Because it governs the physical processes of evapotranspiration and rainfall penetration, surface soil moisture is a significant climatic variable. …”
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Trade uncertainty and investments in an emerging country: a Fourier VAR approach by Mert Akyuz, Muhammed Sehid Gorus, Cihan Gunes

“…Design/methodology/approach – The authors adopt the vector autoregression (VAR) model augmented with Fourier terms. …”
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Uncovering Wolbachia diversity upon artificial host transfer. by Daniela I Schneider, Markus Riegler, Wolfgang Arthofer, Hervé Merçot, Christian Stauffer, Wolfgang J Miller

“…Besides their biological and evolutionary roles, Wolbachia are new potential biological control agents for pest and vector management. Importantly, Wolbachia-based control strategies require controlled symbiont transfer between host species and predictable outcomes of novel Wolbachia-host associations. …”
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