Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System by Hiyam Adil Habeeb, Abdul Hadi Azman, Mohd Rizal Alkahari, Dzuraidah Abd Wahab, Nurhasyimah Abd Aziz

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A GNSS–Cellular Network Hybridization Strategy for Robust Positioning by María Jesús Jiménez-Martínez, Mónica Zabala Haro, Ángel Martín Furonés, Ana Anquela Julián

“…This work presents a user-level hybridization method that enables UE to receive both GNSS and 4G/5G data and autonomously determine whether to apply hybrid positioning. The developed algorithms improve the precision and reliability, allowing user-driven decisions based on data quality. …”
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Fabric Selection Problem Based on Sine Hyperbolic Fractional Orthotriple Linear Diophantine Fuzzy Dombi Aggregation Operators by Muhammad Qiyas, Muhammad Naeem, Neelam Khan, Faisal Khan

“…Finally, an algorithm to interpret the multi-attribute group decision making problem is outlined based on the stated operators and manifest it with an illustrative example. …”
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Complexity calculation of coding and information security system based on threshold secret sharing scheme used for electronic voting by Larisa V. Cherkesova, Olga A. Safaryan, Alexander V. Mazurenko, Nadezhda S. Arkhangelskaya

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From branchings to flows: a study of an Edmonds' like property to arc-disjoint branching flows by Cláudio Carvalho, Jonas Costa, Raul Lopes, Ana Karolinna Maia, Nicolas Nisse, Cláudia Sales

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A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data by Shahid Ahmad Wani, SMK Quadri, Mohammad Shuaib Mir, Yonis Gulzar

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<span style="font-variant: small-caps">DataToCare</span>: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities by Shan Randhawa, Abbas Shojaee, Elisa Sorrentino, Yifan Li, Azza Abouzied, Dennis Shasha

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Optimizing Economy with Comfort in Climate Control System Scheduling for Indoor Ice Sports Venues’ Spectator Zones Considering Demand Response by Zhuoqun Du, Yisheng Liu, Yuyan Xue, Boyang Liu

“…In terms of algorithm comparison, the performance of three typical multi-objective optimization algorithms—NSGA-II, standard MOEA/D, and Multi-Objective Brown Bear Optimization (MOBBO)—is systematically evaluated. …”
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Fair and Transparent Student Admission Prediction Using Machine Learning Models by George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis

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Deep Learning in Financial Modeling: Predicting European Put Option Prices with Neural Networks by Zakaria Elbayed, Abdelmjid Qadi EI Idrissi

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Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…The goal is to enhance prediction accuracy and stability, thereby supporting decision-making and risk management in financial markets. …”
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Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance by Pablo Neirz, Hector Allende, Carolina Saavedra

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Perfect Roman Domination: Aspects of Enumeration and Parameterization by Kevin Mann, Henning Fernau

“…Beyond this, we give polynomial-time algorithms for <span style="font-variant: small-caps;">Perfect Roman Domination</span> on interval graphs and for both decision problems on cobipartite graphs. …”
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Multi-Objective Optimization for Green BTS Site Selection in Telecommunication Networks Using NSGA-II and MOPSO by Salar Babaei, Mehran Khalaj, Mehdi Keramatpour, Ramin Enayati

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Dynamic Path Planning for Vehicles Based on Causal State-Masking Deep Reinforcement Learning by Xia Hua, Tengteng Zhang, Jun Cao

“…To address this challenge, we propose a dynamic path-planning method based on our Causal State-Masking Twin-delayed Deep Deterministic Policy Gradient (CSM-TD3) algorithm. CSM-TD3 integrates a causal inference mechanism by introducing dynamic state masks and intervention mechanisms, allowing the policy network to focus on genuine causal features for decision optimization and thereby enhancing the convergence speed and generalization capabilities of the agent. …”
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Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques by Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta

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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

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Computing Idle Times in Fuzzy Flexible Job Shop Scheduling by Pablo García Gómez, Inés González-Rodríguez, Camino R. Vela

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Data Science in the Management of Healthcare Organizations by Pedro Faria, Victor Alves, José Neves, Henrique Vicente

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Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

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