Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

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The Computability of the Channel Reliability Function and Related Bounds by Holger Boche, Christian Deppe

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The Behavior of Tree-Width and Path-Width Under Graph Operations and Graph Transformations by Frank Gurski, Robin Weishaupt

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Linear Matrix Inequality-Based Design of Structured Sparse Feedback Controllers for Sensor and Actuator Networks by Yuta Kawano, Koichi Kobayashi, Yuh Yamashita

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

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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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Rotating Machinery Fault Detection Using Support Vector Machine via Feature Ranking by Harry Hoa Huynh, Cheol-Hong Min

“…Artificial intelligence has succeeded in many different areas in recent years. Especially the use of machine learning algorithms has been very popular in all areas, including fault detection. …”
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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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Fuzzy Clustering Approaches Based on Numerical Optimizations of Modified Objective Functions by Erind Bedalli, Shkelqim Hajrulla, Rexhep Rada, Robert Kosova

“…The algorithm operates decently in many datasets but struggles with datasets that exhibit irregularities in overlapping shapes, densities, and sizes of clusters. …”
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Measuring the Inferential Values of Relations in Knowledge Graphs by Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong

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Optimized Travel Itineraries: Combining Mandatory Visits and Personalized Activities by Parida Jewpanya, Pinit Nuangpirom, Siwasit Pitjamit, Warisa Nakkiew

“…Therefore, this paper proposes an algorithm for personalized tourism planning that considers tourists’ preferences. …”
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Information Criteria for Signal Extraction Using Singular Spectrum Analysis: White and Red Noise by Nina Golyandina, Nikita Zvonarev

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An Efficient Explainability of Deep Models on Medical Images by Salim Khiat, Sidi Ahmed Mahmoudi, Sédrick Stassin, Lillia Boukerroui, Besma Senaï, Saïd Mahmoudi

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Ellipsoidal <i>K</i>-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions by Alaa E. Abdel-Hakim, Abdel-Monem M. Ibrahim, Kheir Eddine Bouazza, Wael Deabes, Abdel-Rahman Hedar

“…Two objective functions are simultaneously optimized: one reflecting partition compactness using the silhouette function (SF) and Euclidean distance, and another addressing cluster connectedness through a nearest-neighbor algorithm. This optimization is achieved using a newly-developed multiobjective simulated annealing approach. …”
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A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE by Van-Hung Le, Thi-Ha-Phuong Nguyen

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AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…However, blockchain still faces many challenges, such as scalability and security issues. …”
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A VIKOR-Based Sequential Three-Way Classification Ranking Method by Wentao Xu, Jin Qian, Yueyang Wu, Shaowei Yan, Yongting Ni, Guangjin Yang

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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

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Unbiased anchors for reliable genome-wide synteny detection by Karl K. Käther, Andreas Remmel, Steffen Lemke, Peter F. Stadler

“…Overall, the presented algorithm offers a useful alternative to annotation-based methods and can outperform them in many cases.…”
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Finding high posterior density phylogenies by systematically extending a directed acyclic graph by Chris Jennings-Shaffer, David H. Rich, Matthew Macaulay, Michael D. Karcher, Tanvi Ganapathy, Shosuke Kiami, Anna Kooperberg, Cheng Zhang, Marc A. Suchard, Frederick A. Matsen

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