Clinical and immunological biomarkers in hypereosinophilic syndrome: the second step after diagnostic algorithms by David Longhino, Ilaria Baglivo, Maria Antonietta Zavarella, Stefania Colantuono, Chiara Laface, Gabriele Lucca, Laura Bruno, Fabio Romano Selvi, Vincenzo Patella, Aikaterini Detoraki, Rosa Buonagura, Caterina Tatarelli, Barbara Moscatelli, Serena D’Avelli, Elisabetta Abruzzese, Elisabetta Greco, Antonio Gasbarrini, Livio Pagano, Marianna Criscuolo, Sabrina Giammarco, Cristiano Caruso

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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

“…This conceptual paper explores 89 reports, articles, and case studies to analyze the algorithmic consumer, examining the multifaceted impact of AI on consumer preferences and decision-making. …”
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AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…Statistically, the AOAFS was evaluated using the Friedman Test for ranking the tested algorithms, while the Wilcoxon Signed-Rank Test was employed for pairwise comparisons. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). …”
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CURDIS: A template for incremental curve discretization algorithms and its application to conics by Philippe Latour, Marc Van Droogenbroeck

“…We introduce CURDIS, a template for algorithms to discretize arcs of regular curves by incrementally producing a list of support pixels covering the arc. …”
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Evaluation of the Effectiveness of Lightweight Encryption Algorithms on Data Performance and Security on IoT Devices by Damar Indrajati, Wahid Miftahul Ashari

“…To address these challenges, lightweight encryption algorithms have emerged as alternatives to conventional cryptographic methods, aiming to balance performance and security. …”
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Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms by Ana I. Oviedo, Jorge M. Londoño, John F. Vargas, Carolina Zuluaga, Ana Gómez

“…This study presents a methodology to optimize concrete mixtures by integrating machine learning (ML) and genetic algorithms. ML models are used to predict compressive strength, while genetic algorithms optimize the mixture cost under quality constraints. …”
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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…It introduces the notion of algorithmically facilitated emissions to initiate a shift from a logic of ‘climate collapse by design’ to a logic of ‘emissions reduction by design’. …”
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Research on the Visual SLAM Algorithm for Unmanned Surface Vehicles in Nearshore Dynamic Scenarios by Yanran Zhang, Lan Zhang, Qiang Yu, Bowen Xing

“…Building upon the ORB-SLAM3 framework, the improved SLAM algorithm integrates a shore segmentation module and a dynamic region elimination module, while enabling static dense point cloud mapping. …”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…Simulation results show that the proposed algorithm can effectively suppress the mainlobe interference and sidelobe interference while eliminating the mainlobe distortion, and has good robustness to the non-ideal scenarios of the received data, which includes the target signal and exists angle measurement errors.…”
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Unsupervised Attribute Reduction Algorithms for Multiset-Valued Data Based on Uncertainty Measurement by Xiaoyan Guo, Yichun Peng, Yu Li, Hai Lin

“…Finally, these two UMs are used to design two unsupervised attribute reduction algorithms in an MSVIS. The experimental results demonstrate the superiority of the proposed algorithms, achieving average reductions of 50% in attribute subsets while improving clustering accuracy and outlier detection performance. …”
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A Lightweight Detection Method for Meretrix Based on an Improved YOLOv8 Algorithm by Zhongxu Tian, Sifan Hou, Xiaoxue Yue, Xuewen Hu

“…To address this issue, this paper proposes a lightweight detection method, YOLOv8-RFD, based on an improved YOLOv8 algorithm, tailored for clam sorting applications. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
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Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm by Mashuk Ahmed, Abdullah B. Nasser, Kamal Z. Zamli

“…For improving the software testing technology, the t-way testing technique combined with metaheuristic algorithm has been great to analyze a large number of combinations for getting optimal solutions. …”
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification. by Li Zhang

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Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…Digital image technology is vulnerable to interference from fractures and scaling, leading to potential loss of image data; while acoustic emission technology is not hindered by these issues, noise from rock destruction can interfere with the electrical signals, causing errors. …”
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Posterior Probability-Based Symbol Detection Algorithm for CPM in Underwater Acoustic Channels by Ruigang Han, Ning Jia, Yufei Liu, Jianchun Huang, Suna Qu, Shengming Guo

“…The underwater acoustic (UWA) communication system is characterized by limited bandwidth, while continuous phase modulation (CPM) offers a constant envelope, improving power and spectrum utilization efficiency. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…Moreover, the maximum comprehensive index of multiple pedestrian target association results approached 100 %, while the minimum value far exceeded 95 %. The tracking comprehensiveness and trajectory interruption rate of the research method were 98 % and 1.2 %, respectively, which were significantly better than other comparison algorithms. …”
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A novel modification and hardware implementation of the simplified AES algorithm for IoT applications by V S S Pavan Nishith, Adriza Saha, Ashish Patwari

“…With the rise of resource-constrained technologies like the Internet of Things (IoT) and Device-to-Device (D2D) communication, there is a growing need for lightweight yet strong cryptographic algorithms. This study aims to propose a modification to the existing simplified AES (S-AES) algorithm to better suit the lightweight cryptographic demands of IoT devices, while also implementing it as an Application Specific Integrated Circuit (ASIC) to evaluate its efficiency in terms of area and power consumption. …”
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Optimal restoration algorithm for active distribution network considering island mode of the microgrids by J. Marín Quintero, J. Ayala Uribe, O. Bernal, C. Orozco Henao

“…With the growing integration of active agents such as Microgrids (MGs) and distributed generation (DG) into the electrical grid, it becomes crucial to develop methods that restore power to the maximum number of users in the shortest possible time, while considering the dynamic behavior of the network. …”
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