Target Threat Assessment Method for UUVs Based on EBM by Shuwei LIU, Jianqing CHENG, Kai LIU

“…In order to solve the problems of lack of data mining ability and insufficient explanatory nature of neural network algorithms when traditional target threat assessment methods process complex battlefield situation data, this paper proposed a threat assessment model for unmanned undersea vehicles(UUVs) based on explainable boosting machine(EBM). …”
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Towards a methodology for optimizing indicator indicators of the working process of diesel locomotive diesel engines by Ablyalimov Oleg

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Boosting the Strength and Toughness of Polymer Blends via Ligand‐Modulated MOFs by Tairong Kuang, Hongxin Guo, Wei Guo, Wenxian Liu, Wei Li, Mohammad Reza Saeb, Mohammad Vatankhah‐Varnosfaderani, Sergei S. Sheiko

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Analysis of the Correlation Between Personal Factors and Visiting Locations With Boosting Technique by Ha Yoon Song, Yun JiSeon

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Boosting Arabic text classification using hybrid deep learning approach by Eman Alnagi, Rawan Ghnemat, Qasem Abu Al-Haija

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BOOST: a robust ten-fold expansion method on hour-scale by Jinyu Guo, Hui Yang, Chixiang Lu, Di Cui, Murong Zhao, Cun Li, Weihua Chen, Qian Yang, Zhijie Li, Mingkun Chen, Shan-chao Zhao, Jie Zhou, Jiaye He, Haibo Jiang

“…Here we present BOOST, a rapid and robust expansion microscopy workflow that leverages a series of microwave-accelerated expansion microscopy chemistry. …”
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Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

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Measuring the polarization of boosted, hadronic W bosons with jet substructure observables by Songshaptak De, Vikram Rentala, William Shepherd

“…We argue that this proxy variable has lower reconstruction errors as compared to the other proxies that have been used by the experimental collaborations, especially for large boosts of the W -boson. As a test case, we study the efficacy of our technique on vector boson scattering (VBS) processes at the high luminosity Large Hadron Collider. …”
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Boosting Li-Ion Battery Pack Lifespan with Active On-Load Balancing by Salam S. Hussein, Ahmed J. Abid, Adel A. Obed, Ameer L. Saleh, Reheel J. Hassoon

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Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management by Markus Epe, Muhammad Azmat, Dewan Md Zahurul Islam, Rameez Khalid

“…<i>Background:</i> Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. …”
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Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence by Brian M. Ross

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Maximising Ghana’s Oil Resource to Boost Polyester Fibre Production in Ghana by Eric Bruce-Amartey Jnr., Emmanuel Kodwo Amissah

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Facile separation of lithium fluoride to boost the electrical conductivity of MXene sediment by Jiale Huang, Zhiyin Cai, Jingjin Cai, Chengming Yu, Shanglin Xiang, Dongyu Cai

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Echoes of Innovation: Exploring the Use of Voice Assistants to Boost Hotel Reputation by Fang Yang, Tianyu Ying, Xuling Liu

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Exploring explanation deficits in subclinical mastitis detection with explainable boosting machines by Changhong Jin, John Upton, Brian Mac Namee

“…The advent of Explainable Boosting Machines (EBM) represents an optimal solution, offering results that are both transparent in the decision-making processes and interpretable to domain experts, while maintaining strong predictive power. …”
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Using e-Mail Dialogue Journals to Boost EFL Students’ Writing by Salima HADDAD

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Effectiveness of AdaBoost and XGBoost Algorithms in Sentiment Analysis of Movie Reviews by I Gusti Ayu Nandia Lestari, Ni Made Rai Masita Dewi, Komang Gita Meiliana, I Komang Agus Ady Aryanto

“…The methods used to create the classification model are AdaBoost and XGBoost. The data preprocessing process includes several stages such as text cleaning, tokenization, stopword removal, lemmatization, and vectorization using TF-IDF to convert the review text into numeric form, as well as converting the positive and negative labels into 1 and 0. …”
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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

“…General linear models have been the foundational statistical framework used to discover the ecological processes that explain the distribution and abundance of natural populations. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…This model compression yields a transparent, IF–THEN rule-based decision process that remains faithful to the original high-performing model. …”
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Green solvent extraction of health boosting phenolics from pigeon pea husk by Deepika Goswami, Manju Bala, D. Mridula, Rajesh Kumar Vishwakarma, P. N. Guru

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