A Malware Classification Method Based on Knowledge Distillation and Feature Fusion by Xin Guan, Guodong Zhang

“…In the classification phase, an attention mechanism (global attention block) is added to better extract features and improve model robustness.MCF-RV also uses knowledge distillation with vit (Vision Transformer) as a faculty modeler, which can effectively optimize and improve the performance of large models. …”
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Treatment outcomes, antibiotic use and its resistance pattern among neonatal sepsis patients attending Bahawal Victoria Hospital, Pakistan. by Muhammad Atif, Rabia Zia, Iram Malik, Nafees Ahmad, Sajjad Sarwar

“…Just under half of the patients (n = 280, 47.8%) successfully completed the treatment (i.e., discharged with treatment success), while 123 (21%) patients died during treatment. In multivariable binary logistic regression, the factors which still remained significantly associated with neonatal death included, preterm delivery (AOR 9.59; 95% CI 4.41, 20.84), sub-optimal birth weight (AOR 5.13; 95% CI 2.19, 12.04), early onset sepsis (AOR 2.99; 95% CI 1.39, 6.41) and length of hospital stay (AOR 0.76; 95% CI 0.67, 0.88).…”
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Know your competitor! Analyzing and predicting the location of competing stores: The case study of Valora at Swiss railway stations by Thomas Wieland

“…Location choice in retailing is a key subject of retail location theory, but is also of great practical relevance. Retail companies must assess the demand and competition situation and try to anticipate the behavior of their competitors. …”
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Aspect Based Sentiment Analysis on Shopee Application Reviews Using Support Vector Machine by Dyah Ayu Wulandari, Fitra A. Bachtiar, Indriati Indriati

“…The novelty of this research is using the SVM method with SGD to classify Indonesian language application reviews based on aspect categories consisting of 7 dimensions of service quality and sentiment so that the website created in this research can display the aspects and sentiments of the input reviews. This research also builds an Indonesian normalization dictionary to optimize the terms used to increase model accuracy. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…However, limitations such as lighting variability and dataset size indicate further refinements are needed to optimize the system for broader implementation.…”
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Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

“…The intelligent models also performed well in predicting the data pertinent to both binary and ternary mixtures. …”
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Earthquake Design of Reinforced Concrete Buildings Using NSGA-II by Herian A. Leyva, Edén Bojórquez, Juan Bojórquez, Alfredo Reyes-Salazar, José H. Castorena, Eduardo Fernández, Manuel A. Barraza

“…It is assumed that the structures are constituted by rectangular and square concrete sections for the beams, columns, and slabs which are represented by a binary codification. In conclusion, this study provides complete designed RC buildings which also can be used directly in the structural and civil engineering practice by means of genetic algorithms. …”
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Enaction of mestizo identity in Pedro Páramo by Mindaugas Briedis, Juan Carlos Carrillo

“…However, to establish the relevancy of our chosen conceptual apparatus, we return to Aristotle to offer a novel interpretation which also allows us to situate and correlate both the universal (human) and particular (mestizo) projects laid out by the author of Páramo. …”
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Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study by Alexander Brehmer, Constantin Seibold, Jan Egger, Khalid Majjouti, Michaela Tapp-Herrenbrück, Hannah Pinnekamp, Vanessa Priester, Michael Aleithe, Uli Fischer, Bernadette Hosters, Jens Kleesiek

“…Various data preprocessing strategies, augmentation techniques, training methods (including multimodal data integration, synthetic data generation, and sampling), and postprocessing approaches (including ensembling and test-time augmentation) were systematically tested to optimize model performance. ResultsThe transformer-based TinyViT model achieved the highest performance in binary classification of PU and IAD, with an F1-score (harmonic mean of precision and recall) of 93.23%, outperforming wound care experts and nursing staff on the test dataset. …”
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Unveiling the recent advancements of polymetallic alloys electrocatalysts for hydrogen generation and storage by Sumbul Raza, Iqra Sadiq, Saman Shaheen, Mariyam Saniya, Tokeer Ahmad

“…While this work highlights the exceptional properties of alloy-based electrocatalysts, it also addresses the remaining challenges, such as scalability, durability, and cost-effectiveness that must be overcome to fully realize their potential in practical applications.…”
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Computably Enumerable Semisimple Rings by Huishan Wu

“…As applications of the complexity results on semisimple rings, we also obtain the optimal complexity results on other closely connected classes of rings, such as the small class of finite direct products of fields and the more general class of semiperfect rings.…”
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The impact of individual and social environmental factors on the health of elderly migrants in China: an analysis based on social-ecological systems theory by Aidi Liao, Jingjin He, Xiafei Tao

“…Furthermore, social environmental factors, including types of social interactions, the establishment of health records, the amount of health knowledge acquired, and travel time to medical institutions, also had a notable influence on the health of elderly migrants. …”
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Enhancing Real Estate Listings Through Image Classification and Enhancement: A Comparative Study by Eyüp Tolunay Küp, Melih Sözdinler, Ali Hakan Işık, Yalçın Doksanbir, Gökhan Akpınar

“…The study results enable a better visual representation of real estate properties, resulting in higher-quality and engaging user listings. They also underscore the importance of combining advanced image processing techniques with classification models to optimize image presentation and categorization in the real estate industry. …”
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Bioimpedance analysis predicts worsening events in outpatients with heart failure and reduced ejection fraction by Carlos Rodríguez‐López, Jorge Balaguer Germán, Ana Venegas Rodríguez, Rocío Carda Barrio, Hans Paul Gaebelt Slocker, Ana María Pello Lázaro, Marta López Castillo, Bárbara Soler Bonafont, Mónica Recio Vázquez, Mikel Taibo Urquía, María González Piña, Emilio González Parra, José Tuñón, Álvaro Aceña

“…Multivariate Cox regression analysis also showed an adjusted hazard ratio (HR) for VO of 2.03; 95% CI 1.37–3.02, P < 0.001. …”
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Engineering Quantum Error Correction Codes Using Evolutionary Algorithms by Mark A. Webster, Dan E. Browne

“…As part of this work, we also introduce an evolutionary algorithm QDistEvol for finding the distance of quantum error correction codes.…”
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A Feature Engineering Framework for Smart Meter Group Failure Rate Prediction by Yihong Li, Xia Xiao, Zhengbo Zhang, Wenao Liu

“…Then, an evolutionary multi-objective feature selection algorithm combining NSGA-II, Jaccard similarity, and XGBoost is developed, where feature subsets are encoded as binary individuals optimized for three objectives: MSE, 1 − R², and the number of features. …”
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Exergy and energy-based sustainability evaluation of diesel-biodiesel-ethanol blends with emission forecasting using advanced machine learning models by Harish Venu, V. Dhana Raju, Jayashri N. Nair, Sameer Algburi, Ali E. Anqi, Ali A. Rajhi, Mohammed Kareemullah

“…The current work deals with performance and sustainability of binary (diesel-biodiesel) and ternary (diesel-biodiesel-ethanol) fuel blends in a single-cylinder engine. …”
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Reliability Analysis of Complex Structures Under Multi-Failure Mode Utilizing an Adaptive AdaBoost Algorithm by Feng Zhang, Zijie Qiao, Yuxiang Tian, Mingying Wu, Xiayu Xu

“…This model employs an adaptive method to determine the optimal training sample set, ensuring it is as evenly distributed as possible on both sides of the failure curve and fully contains the information it represents. …”
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Feasibility Study and Demonstration of an Aluminum and Ice Solid Propellant by Timothee L. Pourpoint, Tyler D. Wood, Mark A. Pfeil, John Tsohas, Steven F. Son

“…Aluminum and water have also been proposed as a frozen propellant, and there have been proposals for other refrigerated propellants that could be mixed, frozen in situ, and used as solid propellants. …”
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Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector by Ruixing Ming, Osama Mohamad, Nisreen Innab, Mohamed Hanafy

“…The approach encompasses four strategic phases: 1) Tackling data imbalance through diverse re-sampling methods (Over-sampling, Under-sampling, and Hybrid); 2) Optimizing feature selection (Filtering, Wrapping, and Embedding) to enhance model accuracy; 3) employing binary classification techniques (Bagging and Boosting) for effective fraud identification; and 4) applying explanatory model analysis (Shapley Additive Explanations, Break-down plot, and variable-importance Measure) to evaluate the influence of individual features on model performance. …”
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