Adaptive Temporal Reinforcement Learning for Mapping Complex Maritime Environmental State Spaces in Autonomous Ship Navigation by Ruolan Zhang, Xinyu Qin, Mingyang Pan, Shaoxi Li, Helong Shen

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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

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Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis by Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas

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Automation system for finding parking places by О. Napadii, N. Tsopa, Ye. Batrak

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SELECTION OF SOLUTIONS FOR DESIGNING OPEN SYSTEMS BASED ON ANALYSIS OF VARIANTS WITH RANDOM WEIGHTS by A. A. Pastushkov, V. K. Batovrin

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Robust-fuzzy-probabilistic optimization for a resilient, sustainable supply chain with an inventory management approach by the seller by Fateme Zahra Montazeri, Ali Sorourkhah, Dragan Marinković, Vesko Lukovac

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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception–ResNet Model by Md. Ahasan Kabir, Ivan Lee, Sang-Heon Lee

“…A feature selection algorithm was employed to enhance processing efficiency and reduce spectral dimensionality while maintaining high classification accuracy. …”
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Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility by Ismail Gümüssoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalik, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…The raw data was converted to DICOM format and transferred to the 3D Slicer Imaging Software (Version 4.10.2; MIT, Cambridge, MA, USA). …”
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Study protocol for a stepped-wedge, randomized controlled trial to evaluate implementation of a suicide risk identification model among behavioral health patients in three large he... by Scott P. Stumbo, Stephanie A. Hooker, Rebecca C. Rossom, Kathleen Miley, Brian K. Ahmedani, Elizabeth Lockhart, Hsueh-Han Yeh, Bobbi Jo H. Yarborough

“…Methods This hybrid type I effectiveness-implementation pragmatic clinical trial will test a suicide risk identification model in behavioral health clinics at three large health systems. Local decision-makers will determine implementation specifics at each site. …”
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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

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Optimizing net-zero energy strategies in airports through a hybrid multi-method framework by Filiz Mizrak, Kagan Cenk Mizrak, Turhan Karakaya

“…Abstract This study introduces a hybrid decision-making framework to evaluate and prioritize energy retrofit strategies in airport infrastructure, addressing the dual goals of sustainability and operational feasibility. …”
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A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends by Danah Aldossary, Ezaz Aldahasi, Taghreed Balharith, Tarek Helmy

“…The analysis reveals that three-layer (IoT–Fog–Cloud) architectures remain predominant, with dynamic clustering and virtualization commonly employed to enhance adaptability. …”
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Indoor environmental quality assessment based on Interval-Valued Intuitionistic Fuzzy Linguistic Term Set TOPSIS method by Zhiyuan Tu, Mengdi Xu, RuFei Ma, Min Li, Hao Xu

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Optimal offering and operation strategy for hybrid power plants in hour-ahead mFRR energy activation markets with guaranteed service provision by Rujie Zhu, Kaushik Das, Oskar Lindberg, Poul E. Sørensen, Anca D. Hansen

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Electrical Grounding Fault Prediction of EMU Traction Motor by Xuemiao PANG, Chunxing PEI, Chunguang YAN, Dongxing WANG, Jie JIANG

“…It shows that the prediction accuracy of the three algorithms is higher than 84% at all. And comparing with RBF neural network and support vector machine, decision tree has higher prediction accuracy and reaches 85.6%. …”
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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

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New Hybrid Method for Buffer Positioning and Production Control Using DDMRP Logic in Smart Manufacturing by Sahar Habbadi, Ismail El Mouayni, Brahim Herrou, Souhail Sekkat

“…To identify the optimal buffer locations, a Genetic Algorithm (GA) is employed. The MIP model provides the GA with production planning outputs used to evaluate the fitness of decisions regarding buffer placement. …”
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Artificial intelligence in STEM education: a transdisciplinary framework for engagement and innovation by Cristo Leon, James Lipuma, Xavier Oviedo-Torres

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Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs) by Simone ten Hoope, Koen Welvaars, Kylian van Geijtenbeek, Mellanie Klok-Everaars, Sander van Schaik, Fatma Karapinar-Çarkit

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Analysis of informativeness of features of classification of dangerous weather events based on radar observation results by O. V. Vasiliev, E. S. Boyarenko, A. N. Savelyev, N. V. Gorbachev

“…The classification criterion based on the maximum probability functional was chosen to determine the structure of classification algorithms and decision rules. At the same time under the acceptable confidence is accepted the value of the probability of correct classification not lower than 0.8. …”
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