Innovative Quantum Encryption Method for RGB Images Based on Bit-Planes and Logistic Maps by Saeed Basiri, Laleh Farhang Matin, Mosayeb Naseri

“…The results show that the proposed quantum color image encryption algorithm surpasses classical methods in terms of security, robustness, and computational complexity.…”
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Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing by Huthaifa I. Ashqar, Ahmed Jaber, Taqwa I. Alhadidi, Mohammed Elhenawy

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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

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Enhancing User Experiences in Digital Marketing Through Machine Learning: Cases, Trends, and Challenges by Alexios Kaponis, Manolis Maragoudakis, Konstantinos Chrysanthos Sofianos

“…The objective of the present study is to critically analyze the functional and ethical considerations of ML integration in DM and to evaluate its implications on data-driven personalization. …”
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Real-Time Self-Positioning with the Zero Moment Point Model and Enhanced Position Accuracy Using Fiducial Markers by Kunihiro Ogata, Hideyuki Tanaka

“…Furthermore, the use of high-accuracy fiducial markers corrects modeling errors in the COG ZMP model, enhancing accuracy. This method was evaluated using an optical motion capture system, confirming high accuracy with a relative error of less than 3%. …”
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Generative AI in Higher Education Constituent Relationship Management (CRM): Opportunities, Challenges, and Implementation Strategies by Carrie Marcinkevage, Akhil Kumar

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Three-Dimensional Reconstruction of the Right Ventricle from a Radial Basis Morphing of the Inner Surface by Carlotta Fontana, Nicola Cappetti

“…This study focuses on qualitatively evaluating an automated reconstruction model for the RV’s outer wall using Radial Basis function (RBF) morphing. …”
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Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders by Vahid Babaey, Hamid Reza Faragardi

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Predicting Risk and Complications of Diabetes Through Built-In Artificial Intelligence by Siana Sagar Bontha, Sastry Kodanda Rama Jammalamadaka, Chandra Prakash Vudatha, Sasi Bhanu Jammalamadaka, Balakrishna Kamesh Duvvuri, Bala Chandrika Vudatha

“…Assessing risk based on biomarker measurement and computing overall risk is important for accurate prediction. …”
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Optimization of Rock-Cutting Tools: Improvements in Structural Design and Process Efficiency by Yuecao Cao, Qiang Zhang, Shucheng Zhang, Ying Tian, Xiangwei Dong, Xiaojun Song, Dongxiang Wang

“…Topology optimization, as an advanced computational design method, offers transformative potential for lightweight, high-strength cutter structures and adaptive cutting process control. …”
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MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks by Anubhav Gupta, Islam Osman, Mohamed S. Shehata, W. John Braun, Rebecca E. Feldman

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Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization by Gines Molina-Abril, Laura Calvet, Angel A. Juan, Daniel Riera

“…From this, the study develops a practical framework for implementing and evaluating optimization strategies tailored to SMEs’ limitations. …”
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Finite Element Analysis of Occupant Risk in Vehicular Impacts into Cluster Mailboxes by Emre Palta, Lukasz Pachocki, Dawid Bruski, Qian Wang, Christopher Jaus, Howie Fang

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One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study by Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara

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Fuzzy Memory Networks and Contextual Schemas: Enhancing ChatGPT Responses in a Personalized Educational System by Christos Troussas, Akrivi Krouska, Phivos Mylonas, Cleo Sgouropoulou, Ioannis Voyiatzis

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Data Augmentation-Driven Improvements in Malignant Lymphoma Image Classification by Sandi Baressi Šegota, Vedran Mrzljak, Ivan Lorencin, Nikola Anđelić

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MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection by Wesley de Kraker, Harald Vranken, Arjen Hommersom

“…Users can configure the depth of the inter-procedural analysis, which allows a trade-off between the detection performance and computational efficiency. Increasing the depth of the inter-procedural analysis improves the detection performance, at the cost of computational efficiency. …”
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Domain- and Language-Adaptable Natural Language Interface for Property Graphs by Ioannis Tsampos, Emmanouil Marakakis

“…Our system supports single- and multi-hop queries, conjunctions, comparisons, aggregations, and complex questions through an explainable process. Evaluations on real-world queries demonstrate reliable translation results.…”
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COVID-19 Data Analysis: The Impact of Missing Data Imputation on Supervised Learning Model Performance by Jorge Daniel Mello-Román, Adrián Martínez-Amarilla

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Fractional-Order Modeling of Sediment Transport and Coastal Erosion Mitigation in Shorelines Under Extreme Climate Conditions: A Case Study in Iraq by Ibtisam Aldawish, Rabha W. Ibrahim

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