Towards a greener future: The role of sustainable methodologies in metabolomics research by Chiara Spaggiari, Kgalaletso Othibeng, Fidele Tugizimana, Gabriele Rocchetti, Laura Righetti

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The role of hematological parameters as predictors of mortality in elderly patients in the hospital period by L. V. Borisova, S. A. Rukavishnikova, A. S. Pushkin, T. A. Ahmedov, V. V. Yakovlev

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Nephrotoxicity Biomarkers: Role and Significance in the Diagnosis of Drug-Induced Kidney Injury by O. V. Muslimova, V. A. Evteev, I. A. Mazerkina, E. A. Sokova, A. B. Prokofiev, A. V. Shapchenko, T. V. Alexandrova

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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“… The purpose of this paper is to explore the transformative role of artificial intelligence (AI) in shaping the structure and dynamics of modern economies. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…The human motion intention prediction mechanism plays an essential role in various applications, such as assistive and rehabilitation robots, that execute specific tasks among elders and physically impaired individuals. …”
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Iterative Matrix Techniques Based on Averages by María A. Navascués

“…This article proposes an iterative method to find eigenvalues of matrices without a dominant eigenvalue. This algorithm is based on a procedure involving averages of the mapping and the independent variable. …”
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Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers by Ekaterina Gospodinova, Dimitar Nenov

“…This model can be used with a genetic algorithm to make a prediction that fits a specific case, such as a time series representation based on discrete fuzzy sets of the second type. …”
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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm by Balachandran Nair Premakumari Sreeja, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

“…Our comprehensive simulation results reveal that BO-MAP significantly surpasses six current state-of-the-art methods—namely, the Secure Localization Algorithm, Enhanced DV-Hop, Particle Swarm Optimization-Based Localization, Range-Free Localization, the Robust Localization Algorithm, and the Sequential Probability Ratio Test—across various performance metrics, including the true positive rate, false positive rate, localization accuracy, energy efficiency, and computational efficiency. …”
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An Optimization Model for Shell Plate Seam Landing Using Minimum Manufacturing Cost and a Solution by Genetic Algorithm by Ho Rim Pae, Min Hyok Jon, Chol Jun Pak

“…At present, the landing of seams and butts on the ship hull surface, which plays the important role in the shipbuilding process, is still carried out based on the designers’ skill and experience. …”
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The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification by Alexander Takele Muleta, Julius Bamah, Shirley Bushner, Oz Kira

“…The classification was performed with support vector machine (SVM), random forest (RF), decision tree (DT), and Gaussian Naïve Bayes (GNB) algorithms to examine data loss across resolutions and algorithms. …”
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Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

“…To address these issues, we analyze the shift and secondary phase errors caused by moving targets based on the nonstraight slant imaging geometry of GEO SAR and propose a subaperture-based enhanced backprojection (E-BP) imaging algorithm. …”
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Intelligent Fault Diagnosis for Rotating Mechanical Systems: An Improved Multiscale Fuzzy Entropy and Support Vector Machine Algorithm by Yuxin Pan, Yinsheng Chen, Xihong Fei, Kang Wang, Tian Fang, Jing Wang

“…A new algorithm based on improved multiscale fuzzy entropy and support vector machine (IMFE-SVM) is proposed for the automatic diagnosis of various fault types in elevator rotating mechanical systems. …”
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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…Conclusion The application of deep neural networks, optimized by meta-heuristic algorithms, can create predictive models based on real data, which can be used for management decisions and enhancing service compensation processes in organizations. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can disrupt their functionality and create safety hazards. …”
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Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks by Yusuf Secgin, Seren Kaya, Oğuzhan Harmandaoğlu, Oğuzhan Öztürk, Deniz Senol, Ömer Önbaş, Nihat Yılmaz

“…Abstract Background The skull is highly durable and plays a significant role in sex determination as one of the most dimorphic bones. …”
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Hyperkalemia management in the emergency department: An expert panel consensus by Zubaid Rafique, Frank Peacock, Terra Armstead, Jason J. Bischof, Joanna Hudson, Matthew R. Weir, James Neuenschwander

“…However, there is no consensus over the potassium threshold that warrants intervention or its treatment algorithm. Commonly used medications are at best temporizing measures, and the roles of binders are unclear in the emergent setting. …”
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Online Vulnerability Assessment in Cascading Failure Analysis Using an Intelligence Monitoring Model by Saber Armaghani, Zahra Moravej

“…The economic and technical considerations in the proposed model play an essential role in the characteristics of the Special Protection Scheme for under voltage load shedding. …”
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Efficient Discovery of Association Rules in E-Commerce: Comparing Candidate Generation and Pattern Growth Techniques by Ioan Daniel Hunyadi, Nicolae Constantinescu, Oana-Adriana Țicleanu

“…Despite the widespread use of Apriori and FP-Growth algorithms, few studies offer a statistically rigorous, tool-based comparison of their performance on real-world e-commerce data. …”
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The role of petrographic characteristics on the physicomechanical behaviors and drillability of rocks: a comprehensive review by Sasan Ghorbani

“…Future studies must be focused on the lack of past researches in full detail. Based on extensive studies, there is a need to develop a new algorithm and software for the automatic analysis of microphotographs due to the time-consuming nature of the petrographic analyses. …”
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