Evaluation of the Decision Tree Model for Air Condition Classification on the Global Air Pollution Dataset by Cindy Dinda Sabella, Yoga Pristyanto

“…The SVM model showed an improvement of 94.89% to 99.32%, while Random Forest recorded an accuracy of 96.87% with no significant improvement after tuning. …”
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Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university by Tianhua Chen

“…Using signal processing, both original heart rate sequences and their representations, via Fourier transformation and wavelet analysis, have been modeled using advanced machine learning algorithms. Having achieving statistically significant results over the baseline, this provides a understanding of how heart rate sequences alone may be used to characterize mental states through signal processing and machine learning, with the system poised for further testing as the ongoing data collection continues.…”
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A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced by Anuradha Rao

“…Artificial intelligence (AI) in radiology and medical science is finding increasing applications with annotations being an integral part of AI development. While annotation may be perceived as passive work of labeling a certain anatomy, the radiologist plays a more important role in this task apart from marking the structures needed. …”
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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…Notably, machine learning algorithms and natural language processing were identified as particularly beneficial. …”
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Energy‐based PINNs for solving coupled field problems: Concepts and application to the multi‐objective optimal design of an induction heater by Marco Baldan, Paolo Di Barba

“…Abstract Physics‐informed neural networks (PINNs) are neural networks (NNs) that directly encode model equations, like Partial Differential Equations (PDEs), in the network itself. While most of the PINN algorithms in the literature minimize the local residual of the governing equations, there are energy‐based approaches that take a different path by minimizing the variational energy of the model. …”
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Leveraging Agent-Based Modeling and IoT for Enhanced E-Commerce Strategies by Mohamed Shili, Sajid Anwar

“…The paper provides a comprehensive overview of the system’s framework, design principles, and algorithms, highlighting the robustness and flexibility of the proposed structure. …”
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THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA by DR ENYINNAYA N. OBOH

“…It is manifest that the integration of AI in the complex Nigeria judicial system is feasible with identifiable benefits ranging from easy and quick access to justice, accurate legal research, efficiency and accuracy in legal processes and reduction of backlog cases while creating ample time for legal professionals to handle more strategic legal tasks. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…Modeling results show that the synthesized windows can achieve lower side lobe levels while maintaining the same main lobe width, which directly contributes to reduced spectral estimation errors. …”
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Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance by Ryan Day, John L. Salmon

“…This research builds on a case study developed in a previous case study of multi-UAV PSR-STA. While the previous work established foundational algorithms and metrics for multi-UAV PSR-STA, this study introduces sophisticated spatiotemporal analysis techniques that reveal deep insights into system behavior and enable a nuanced understanding of UAV search performance across varied scenarios.…”
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The Impact of Acute Hydration on Body Composition Assessment Using the Bioelectrical Impedance Method in Female Pilates Novices by Lejla Dizdarević, Saša Vuk

“…These changes can be explained by the redistribution of fluid in the body and the algorithms that BIA devices use to assess body composition. …”
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QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles by Ji-ming Chen, Ting-ting Li, Liang-jun Wang

“…Moreover, asymmetric key algorithms are used in the Internet of vehicles environment to reduce the cost. …”
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Artificial Intelligence and the Future of Mental Health in a Digitally Transformed World by Aggeliki Kelly Fanarioti, Kostas Karpouzis

“…The study follows the PRISMA-ScR methodology to ensure transparency and methodological rigor, while also acknowledging its inherent limitations, such as the emphasis on breadth over depth and the exclusion of non-English sources. …”
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Nonlinear active disturbance rejection mechanism based sliding mode control for enhancing electric power assisted steering performance. by Tuan Anh Nguyen, Tung Lam Nguyen

“…Previous studies often applied only one or several traditional algorithms to control the performance of EPAS systems and ignored the influence of external disturbances. …”
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Novel therapeutic approaches to correct retinal metabolic abnormalities in primary open-angle glaucoma and age-related macular degeneration by K. A. Mirzabekova

“…B vitamins are generally included into therapeutic algorithms for glaucomatous optic neuropathy. While being metabolic therapeutics, they stimulate adaptive compensatory mechanisms and reduce the severity of various pathological processes, e.g., hypoxia, lipid peroxidation etc. …”
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Research on the Stability of Express Delivery Supply Chain Based on Risk Propagation Model ------ Case Studies of SF Express and JD Logistics by Fan Yunhui

“…Based on the research results, optimization strategies such as dynamic path optimization algorithms and blockchain-based information isolation mechanisms are proposed, providing theoretical tools and practical references for risk prevention and control in the express delivery industry.…”
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Complex Neutrosophic Approach for Uncertainty Management in Employment Competence for Higher Vocational College Students by Shuo Du, Lijuan Zhao

“…The proof-of-concept analysis highlighted the best-ranked alternative while offering intuitions about the sensitivity of the decision process. …”
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Techniques for displaying optically distorted sculpture (anamorphic sculpture) in contemporary art by Athraa Saeed Mansour, Ihab Ahmed Abdel Reda

“…In the first section we dealt with the concept of anamor physique, while the second section was devoted to studying the art of distorting the perspective of authorities and institutions. …”
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Artificial Intelligence Applications in Pediatric Craniofacial Surgery by Lucas M. Harrison, Ragan L. Edison, Rami R. Hallac

“…Machine learning and deep learning models are increasingly used to analyze complex craniofacial imaging, enabling early detection of congenital anomalies such as craniosynostosis, and cleft lip and palate. AI-driven algorithms assist in preoperative planning by identifying anatomical abnormalities, predicting surgical outcomes, and guiding personalized treatment strategies. …”
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Advances in Numerical Modeling for Heat Transfer and Thermal Management: A Review of Computational Approaches and Environmental Impacts by Łukasz Łach, Dmytro Svyetlichnyy

“…Sustainable computing practices, including energy-efficient algorithms and renewable-powered data centers, offer potential solutions. …”
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Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring by Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš

“…The goal of this research was to implement machine vision algorithms in a cattle stable to detect cattle in stalls and determine their activities. …”
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