Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…This work proposes a computationally efficient approach for estimating the magnetization of Fe0.7Ni0.3 body-centered cubic (bcc) nanoparticles (NPs) at room temperature using machine-learning algorithms, in terms of the average magnetic moment per atom, ⟨μ⟩. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…The final purpose is to define a workflow which establishes the steps to perform a robust segmentation and obtain a digital (vector) representation of a mosaic. The detailed approach is presented, and theoretical justifications are provided, building various connections with other models, thus making the workflow both theoretically valuable and practically scalable for medium or large datasets. …”
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Stakeholder analysis towards unpacking communities of practice for transdisciplinary research and action in climate change and health in Africa by Joanes Atela, Emily Bolo, Humphrey Agevi, Kanyiva Muindi, Sokhna Thiam, Ezekiel Gordon, Ann Wanjiru Irungu, Hellen Gitau

“…Health and climate change communities still work in isolation in addition to limited multidisciplinary and integrated research on health and climate change to inform programming, and policy and unlock climate finance. …”
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Winch Traction Dynamics for a Carrier-Based Aircraft Under Trajectory Control on a Small Deck in Complex Sea Conditions by Guofang Nan, Sirui Yang, Yao Li, Yihui Zhou

“…For realizing the trajectory control of the aircraft, the vector difference between the center of mass for the carrier-based aircraft and the position on the predetermined Bessel curve is calculated, so as to obtain the azimuth vector in the aircraft coordinate system. …”
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Impact of Arduino Based STEM Education on Cognitive Domain Level of Mechanics and Scientific Creativity by Atakan Coban, Mustafa Erol

“… The aim of this study is to investigate the impacts of Arduino-based STEM education on cognitive domain level of mechanics and scientific creativity regarding mechanics, specifically on vectors, kinematics, dynamics and work-energy sub-topics. …”
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Bibliography and the doctrine of bibliosphere: the state and prospects of development by Е. A. Pleshkevich

“…Vernadsky, which has been developed in the works of N. N. Moiseev. The basis of the Doctrine is a number of provisions. …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…To address these limitations, the proposed method integrates vascular-specific termination criteria, branch-preserving pruning, and voxel-based interpolation to ensure anatomically accurate, topologically consistent skeletons suitable for graph-based vascular modeling. The method was quantitatively evaluated on artificial renal tree models using metrics such as branch count per hierarchical level and bifurcation angle fidelity. …”
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Employing machine learning for early detection of poly-victimization in rural children: a survey study in China’s Chaoshan region by Zicheng Cao, Yandong Luo, Ping Chang, Jiajun Zhou, Liping Li

“…Four machine learning models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Random Forest (RF), were employed to predict PV risk, and SHAP feature importance was utilized to evaluate risk factors. …”
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Experimental digital atlas of blood supply zones of the internal carotid artery by Ilya L. Gubskiy, Daria D. Namestnikova, Elvira A. Cherkashova, Ivan S. Gumin, Leonid V. Gubsky, Vladimir P. Baklaushev, Vladimir P. Chekhonin, Konstantin N. Yarygin

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Optimal 2D Placement of Virtual Objects in Physical Space for Augmented Reality Applications by M. V. Alpatova, Yu. V. Rudyak

“…Introduction. Research and applied works on the placement of virtual objects in real space most often focus on issues of interactivity, integration of reality and virtuality, physical properties of virtual elements. …”
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Toward a Better Understanding of IoT Domain Names: A Study of IoT Backend by Ibrahim Ayoub, Martine S. Lenders, Benoit Ampeau, Sandoche Balakrichenan, Kinda Khawam, Thomas C. Schmidt, Matthias Wahlisch

“…The word embedding technique we use to get the real-valued vector representation of the domain names is Word2vec. …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Identifying LRRC through imaging is complex, due to the mismatch between fibrosis and inflammatory pelvic tissue. This work aimed to develop a machine learning model for predicting LRRC using radiomic features extracted from 18F-FDG Positron Emission Tomography/Computed Tomography (PET/CT). …”
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Cyber Threat Susceptibility Assessment for Heavy-Duty Vehicles Based on ISO/SAE 21434 by Narges Rahimi, Beth-Anne Schuelke-Leech, Mitra Mirhassani

“…Additionally, through a comprehensive analysis of threat vectors and vehicle interfaces, the model refines feasibility criteria, ensuring a more accurate and context-aware assessment of security risks. …”
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An extensive experimental analysis for heart disease prediction using artificial intelligence techniques by D. Rohan, G. Pradeep Reddy, Y. V. Pavan Kumar, K. Purna Prakash, Ch. Pradeep Reddy

“…The classifiers considered for the research are Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Gaussian Naïve Bayes (GNB), XGBoost, AdaBoost, Stochastic Gradient Descent (SGD), Gradient Boosting Classifier, Extra Tree Classifier, CatBoost, LightGBM, Multilayer Perceptron (MLP), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Bidirectional LSTM (BiLSTM), Bidirectional GRU (BiGRU), Convolutional Neural Network (CNN), and Hybrid Model (CNN, RNN, LSTM, GRU, BiLSTM, BiGRU). …”
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RESEARCH INTO THE AERODYNAMICS OF AIR FLOWS IN CYCLONES by V. Petrov, А. Аlеksashyn, S. Poznar

“…The geometric dimensions of cyclones depend on the volume of purified air, and the efficiency of purification depends on the design, therefore, cyclone designs must have optimal geometric parameters for effective dust removal. Models of vertical cyclones, worked out over the years, are widely used in the grain processing industry. …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by Elisa Myllylä, Pekka Siirtola, Antti Isosalo, Jarmo Reponen, Satu Tamminen, Outi Laatikainen

“…Detection of metastasis mentions, however, proved more challenging, with the best-performing models Support Vector Machine (SVM) and logistic regression achieving an F1-score of 81%. …”
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Graph-Level Label-Only Membership Inference Attack Against Graph Neural Networks by Jiazhu Dai, Yubing Lu

“…Experimental evaluations on three datasets and four GNN models demonstrate that GLO-MIA achieves an attack accuracy of up to 0.825, outperforming baseline work by 8.5% and closely matching the performance of probability-based MIAs, even with only prediction labels.…”
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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

“…The proposed study demonstrates a significant advancement in the early detection of Alzheimer’s disease by integrating state-of-the-art deep learning models and comprehensive functional connectivity analysis. …”
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Medida de similitud basada en saliencia by Sergio Domínguez

“…One of the most relevant among them is that represented by Visual Information Retrieval Systems (VIRS), where a common task is ordering a set images according to their similarity to a given one. In this work a new proposal for evaluating similarity between two images is introduced; both images are represented by respective feature vectors, and the perceptual cue used to generate the similarity measure is saliency, a concept thoroughly known in Psychology. …”
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