Todim-Based Complex Spherical Fuzzy VIKOR Method for Evaluating the Optimal Band Interval for Classification of Cashmere and Wool Fibers in near-Infrared Spectroscopy by Xinlong Li, Yuhong Du, Ziqi Rong, Shuaijie Zhao

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QUANTITATIVE MODELING OF THE RECRUITMENT PROCESS by A. Zinchenko

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Vegan diet, processed foods, and body weight: a secondary analysis of a randomized clinical trial by Hana Kahleova, Tatiana Znayenko-Miller, Arathi Jayaraman, Giulianna Motoa, Laura Chiavaroli, Richard Holubkov, Neal D. Barnard

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Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches by Farveh Vahidpour, Hossein Sabouri, Fakhtak Taliei, Sayed Javad Sajadi, Saeed Yarahmadi, Hossein Hosseini Moghaddam

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An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach by Marion Taconne, Valentina D.A. Corino, Luca Mainardi

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EMG features dataset for arm activity recognitionGoogle Drive by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Anish C. Turlapaty, Balakrishna Gokaraju

“…The dataset was then used to train and test machine learning models (Random Forest and Logistic Regression) for gesture classification. This dataset has potential reuse in developing gesture recognition algorithms, enhancing prosthetic control, or exploring human–computer interaction (HCI) applications.…”
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Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

“…In our experiments, we examined the classification performance when Img2Neuro is used as a feature extractor compared to using the images as direct input to the classifier, using five different classifiers; namely, linear discriminant analysis, perceptron, logistic regression, ridge classifier, and a single-layer neural network. …”
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Feasibility of Conflict Prediction of Drone Trajectories by Means of Machine Learning Techniques by Victor Gordo, Javier A. Perez-Castan, Luis Perez Sanz, Lidia Serrano-Mira, Yan Xu

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Comprehensive data aleatory uncertainty propagation in regression random forest using a Monte Carlo approach: a struggle with incomplete data provision using a case study on probab... by Hendrik Paasche, Ségolène Dega, Martin Schrön, Peter Dietrich, Peter Dietrich

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Three-dimensional imaging reconstruction of the kidney's anatomy for a tailored minimally invasive partial nephrectomy: A pilot study by Daniele Amparore, Angela Pecoraro, Federico Piramide, Paolo Verri, Enrico Checcucci, Sabrina De Cillis, Alberto Piana, Mariano Burgio, Michele Di Dio, Matteo Manfredi, Cristian Fiori, Francesco Porpiglia

“…Objective: The aim of the study was to evaluate three-dimensional virtual models (3DVMs) usefulness in the intraoperative assistance of minimally-invasive partial nephrectomy in highly complex renal tumors. …”
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Machine Learning Models on MOBA Gaming: League of Legends Winner Prediction by Kaan Arık

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Combining Feature Extraction Methods and Categorical Boosting to Discriminate the Lettuce Storage Time Using Near-Infrared Spectroscopy by Xuan Zhou, Xiaohong Wu, Zhihang Cao, Bin Wu

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Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia by Ewunate Assaye Kassaw, Ewunate Assaye Kassaw, Ashenafi Kibret Sendekie, Ashenafi Kibret Sendekie, Bekele Mulat Enyew, Biruk Beletew Abate, Biruk Beletew Abate

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Evaluation of pre-treatment F-18 FDG PET/CT according to Mandard classification in locally advanced rectal cancer patients undergoing neoadjuvant chemoradiotherapy by Feray Aras, Murtaza Parvizi, Olcay Ak Nalbant, Volkan Ozkol, Engin Kut

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Acute kidney injury in autologous hematopoietic stem cell transplant for patients with lymphoma – KDIGO classification with creatinine and urinary output criteria: a cohort analysi... by Natacha Rodrigues, Carolina Branco, Claúdia Costa, Filipe Marques, Marta Neves, Pedro Vasconcelos, Carlos Martins, José António Lopes

“…We used survival analysis with competing risks to evaluate cumulative incidence of AKI, AKI risk factors and AKI impact on disease-free survival. We used Cox regression for impact of AKI on overall survival. We used backward stepwise regression to create multivariable models. …”
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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

“…Hierarchical mixed-effects models with three trees—3Trees models—are a new advanced statistical learning approach in mixed-effect modeling. …”
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Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classifiers in Google Earth Engine; A Case Study of Jammu District by S. Khan, A. Bhardwaj, M. Sakthivel

“…This study uses machine learning classifiers - Random Forest (RF), Support Vector Machine (SVM), Gradient Boosted Trees (GTB), and Classification and Regression Trees (CART) - for the task, leveraging Google Earth Engine (GEE). …”
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Pattern of antibiotic use over two decades in Iran: a national level assessment based on WHO AWaRe classification from 2000 to 2019 by Maryam Taghizadeh-Ghehi, Mohammad Effatpanah, Mohadeseh Balvardi, Hossein Khalili

“…AIM: We aimed at investigation the pattern and trend of antibiotic use based on WHO Access, Watch and Reserve [AwaRe] classification at national level, over 20 years in Iran. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Both models were implemented in PyTorch and trained until the convergence of box regression, classification, and distribution-focal losses. …”
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Validation of a classification to identify emergency department visits suitable for subacute and virtual care models: a randomised single-blinded agreement study protocol by Andrew Worster, Ryan P Strum, Walter Tavares, Andrew P Costa, Erich Hanel, Lauren E Griffith, Paul Miller, Shawn Mondoux, Komal Aryal, Fabrice Mowbray, Ravi Sivakumaran

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