Identifying and mitigating algorithmic bias in the safety net by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…NYC Health + Hospitals, an urban safety net system, assessed bias in two binary classification models in our electronic medical record: one predicting acute visits for asthma and one predicting unplanned readmissions. We evaluated differences in subgroup performance across race/ethnicity, sex, language, and insurance using equal opportunity difference (EOD), a metric comparing false negative rates. …”
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A Novel Algorithm in the Management of Hypoglycemia in Newborns by Swapna Naveen, Chikati Rosy, Hemasree Kandraju, Deepak Sharma, Tejopratap Oleti, Srinivas Murki

“…Study Objective. To evaluate the safety of a new protocol in comparison to the standard protocol for managing hypoglycemia in neonates. …”
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Modeling of Common Mode Interference of Secondary Side of Potential Transformer in VFTO Excitation by PANG Fubin, JI Jianfei, WU Xianqiang, ZHOU Mengxia, YAN Wei, XU Dong

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Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution by Bilal Majeed, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan

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Harnessing the sun: Framework for development and performance evaluation of AI-driven solar tracker for optimal energy harvesting by A M Almas Shahriyar Azad, Khaled Mohammad Shifullah Bhuiya, Sumaiya Rashid Shoshi, Jubayer Rahman Jamal, Sabbir Ahmed Udoy, Sadman Zilani, Abdullah Hawlather, Mehedi Hasan, Tabassum Roaidah Azad

“…The study compares theoretical and experimental energy generation data from the AI-based solar tracker against conventional systems, thoroughly evaluating its effectiveness. Results demonstrate that the AI-based system, guided by MOGA ANFIS, consistently outperforms traditional systems across different weather conditions, with R2 values of 0.989 for azimuth and 0.998 for altitude angle predictions, highlighting its superior adaptability and efficiency. …”
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Multi-objective clustering: a kernel based approach using Differential Evolution by Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev

“…A multi-objective algorithm is always favoured over a single objective algorithm as it considers different aspects of a dataset in the form of various objectives. …”
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Application of machine learning assisted multi-variate UV spectrophotometric models augmented by kennard stone clustering algorithm for quantifying recently approved nasal spray co... by Ahmed Emad F. Abbas, Mohammed Gamal, Ibrahim A. Naguib, Michael K. Halim, Basmat Amal M. Said, Mohammed M. Ghoneim, Mohmeed M. A. Mansour, Yomna A. Salem

“…This approach ensures unbiased evaluation across the full concentration space, improving the method’s reliability and sustainability. …”
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PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

“…The proposed algorithm is evaluated on two gold standard and real-world datasets. …”
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Crack Detection and Evolution Law for Rock Mass under SHPB Impact Tests by Xie Beijing, Dihao Ai, Yu Yang

“…In order to accurately identify and quantitatively calculate the surface cracks of rock mass under SHPB impact loading, an automatic crack detection algorithm was proposed and evaluated by the experiment. …”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

“…Finally, we compare the efficacy of four qualitatively different algorithms, including two newly introduced methods. …”
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Hierarchical Sarsa Learning Based Route Guidance Algorithm by Feng Wen, Xingqiao Wang, Xiaowei Xu

“…The proposed algorithm was simulated with several different scale road networks; the experiment results show that, in the large scale road networks, the proposed method can greatly enhance the efficiency of the dynamic route guidance system.…”
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Fractal Art Pattern Generation Based on Genetic Algorithm by Huabai Liu

“…The search space was 1023-1026 times larger than the traditional algorithm, and the evaluation times were 2-3 times larger than the traditional algorithm. …”
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The application of the algorithm of the individualization of students’ physical education process by L.N. Barybina, N.A. Kolomiec, V.A. Komotskaja

“…It was defined the structure of the complex preparedness and it was developed models of characteristics of students - representatives of different sports specializations. It was established that for the successful construction of the training process, it is necessary to combine the parameters of physical, functional training and physiological indicators into a single integral evaluation of the individual characteristics of students. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…To overcome this limitation, we present an enhancement to the RetinaNet model to improve its ability to handle variations in objects across different domains. Specifically, we propose an optimization algorithm based on Differential Evolution (DE) that adjusts anchor scales and ratios while determining the most appropriate number of these parameters for each dataset based on the annotated data. …”
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Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network by Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li

“…The experimental results demonstrate that MKAN excels in multiple evaluation metrics. Compared to optimal comparison algorithms, MKAN increases structural similarity by an average of 1.4% and reduces global dimensionless error by an average of 4.4%, fully demonstrating the rationality and superiority of its design. …”
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Phase Difference of Arrival Aided Downlink Time Difference of Arrival Ultra-Wide Band Positioning System by Josef Krska, Christian Gentner, Vaclav Navratil

“…Moreover, precise localization is enabled through the algorithm that resolves the ambiguity of PDoA measurements. …”
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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 by Beena Meena, Elena Sabbi, Peter Zeidler, Bruce G. Elmegreen, Jan J. Eldridge, Varun Bajaj, Mario Gennaro, Anna Pasquali, Debra M. Elmegreen, Ralf S. Klessen, Linda J. Smith, Luciana Bianchi, Aida Wofford, Pietro Facchini, John S. Gallagher III, Daniela Calzetti, Eva K. Grebel, Angela Adamo, (GULP)

“…By analyzing the spatial distribution of field stars younger than 100 Myr, we identify large-scale stellar complexes and substructures using HDBSCAN—a density-based clustering algorithm—and trace their evolution over time. While comparing these stellar structures in different regions of the galaxy, we find that the central bar-like region shows a clear expansion of the structures within the first ∼60 Myr, while the arm-like structure in the northeast shows no discernible trend, possibly due to external perturbations from tidal interactions with a neighboring galaxy. …”
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Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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Genomic selection in pig breeding: comparative analysis of machine learning algorithms by Ruilin Su, Jingbo Lv, Yahui Xue, Sheng Jiang, Lei Zhou, Li Jiang, Junyan Tan, Zhencai Shen, Ping Zhong, Jianfeng Liu

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