Forecasting and decision making of firm’s financial indicators based on the SSA-MLP-BPNN model by Xin Xu

“…Different optimization algorithms may perform differently on different datasets, so it is necessary to choose the appropriate optimization algorithm according to the specific situation. …”
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BSO-CNN: A BSO Pressure Optimized CNN Model for Water Distribution Networks by Waghmare Shwetambari Pandurang, Renu Praveen Pathak, Imtiyaz Ahmad Wani

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Stochastic Multi-objective Distribution Network Reconfiguration Considering Wind Turbines by Ehsan Azad Farsani, Mohsen Zare

“…Distribution Network Reconfiguration (DNR) is an important challenge in the operation of distribution networks which may be influenced by factors such as Wind Turbine Generators (WTG). …”
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Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

“…., three-dimensional), which may potentially lead to a significant discrepancy between the predicted flight time and the real flight time. …”
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High-Resolution Imaging Method for Vehicle-Mounted FMCW Shallow Ice Radar by Binbin Li, Bo Zhao, Xuyi Yuan, Jingxue Guo, Xiaojun Liu

“…However, during FMCW-ISR scanning, the same ice layer target may appear multiple times in the data matrix, leading to defocusing in the azimuth direction. …”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…It is proposed to discuss the variants of managing algorithmic transparency and accountability based on the analysis of social, technical and regulatory problems created by algorithmic systems of artificial intelligence. …”
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The intelligent lift: Artificial Intelligence's growing role in plastic surgery - a comprehensive review by Amr Youssef Arkoubi

“…Despite promising results in algorithmic performance, the clinical utility and ethical implications of AI in this specialty remain underexplored.MethodsThis study systematically reviewed literature from January 2010 to May 2025 across PubMed, Scopus, Web of Science, and IEEE Xplore. …”
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State of precision medicine for heart failure with preserved ejection fraction in a new therapeutic age by Roy Rasalam, Andrew Sindone, Gary Deed, Ralph G. Audehm, John J. Atherton

“…Phenotype clusters defined largely by the total number and types of co‐morbidities may delineate groups of patients with HFpEF with different management needs. …”
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Hidden-layer configurations in reinforcement learning models for stock portfolio optimization by Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman

“…These findings suggest that the effectiveness of hidden-layer configurations depends on the specific algorithm used. While A2C and DDPG benefit from increased complexity, simpler architectures may be more suitable for PPO and TD3. …”
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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

“…Therefore, this study developed the Psychological Disorders Machine Learning Genomic (PDMLG) model as an amalgamation of genetic algorithms and machine learning techniques in a predictive analysis model using genomic data samples. …”
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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

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Explainable Predictive Factors for Inter-Agency Partnership Success by Nicola Drago, Goncalo Afonso Braz, Tullio Vardanega

“…Our prototype engine may help organizations improve partnership appraisal efficiency and improve collaboration. …”
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Machine Learning and Deep Learning Models for Dengue Diagnosis Prediction: A Systematic Review by Daniel Cristobal Andrade Girón, William Joel Marín Rodriguez, Flor de María Lioo-Jordan, Jose Luis Ausejo Sánchez

“…In response to this crisis, there has been a notable increase in research employing machine learning and deep learning algorithms to anticipate diagnosis in patients with suspected dengue. …”
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Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning by Ellen Vanden Broecke, Laurens Van Mulders, Ellen De Paepe, Dominique Paepe, Sylvie Daminet, Lynn Vanhaecke

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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…Abstract Background Suicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are influenced by various factors. …”
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Metabolomics and nutrient intake reveal metabolite–nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study by Minyeong Kim, Suyeon Lee, Junguk Hur, Dayeon Shin

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Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease by Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Miguel Cruz, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Alejandra García-Hernández, Huizilopoztli Luna-García, Klinge Orlando Villalba-Condori

“…The aim of this research is to compare distinct methodologies of feature selection to identify discriminant risk factors that may be beneficial for early treatment, and prevention. …”
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Outpatient Testing for HIV in Italy, 2018–2023—Preliminary Data by Claudio Galli, Vincenza Regine, Anna Caraglia, Francesca Centrone, Maria Chironna, Gianluca Cruschelli, Massimo Farinella, Valentina Annachiara Orlando, Chiara Pasqualini, Monia Puglia, Lucia Pugliese, Laura Rancilio, Lara Tavoschi, Fabio Voller, Barbara Suligoi

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Data Integration Based on UAV Multispectra and Proximal Hyperspectra Sensing for Maize Canopy Nitrogen Estimation by Fuhao Lu, Haiming Sun, Lei Tao, Peng Wang

“…Nitrogen (N) is critical for maize (<i>Zea mays</i> L.) growth and yield, necessitating precise estimation of canopy nitrogen concentration (CNC) to optimize fertilization strategies. …”
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3D Reconstruction of Complex Fault Systems From Volumetric Geodynamic Shear Zones Using Medial Axis Transform by Anthony Jourdon, Dave A. May, Jorge N. Hayek, Alice‐Agnes Gabriel

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