Determination of the accuracy of osteoporotic fractures risk assessment in patients with rheumatoid arthritis using the prognostic model, developed at V.A. Nasonova Research Instit... by P. O. Kozhevnikova, P. S. Kovalenko, I. S. Dydykina, S. I. Glukhova, A. M. Lila

“…The predictive model developed at V.A. Nasonova Research Institute of Rheumatology, showed higher diagnostic accuracy and sensitivity, as well as comparable specificity with the FRAX algorithm in assessing fractures in RA patients.…”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…In this paper, a comparative analysis of five machine learning algorithms—Linear Regression (LR), Expectation Maximization (EM), Random Forest (RF), Deep Belief Networks (DBNs), and Deep Neural Networks (DNNs)—is conducted to predict the operational conditions of PV-powered streetlights based on luminance levels and energy consumption. …”
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MULTIPLE-PURPOSE SOLUTION TO HOMOGENEOUS ALLOCATION PROBLEMS BASED ON MODIFIED ROMANOVSKY ALGORITHM AND SELECTIVE-PERMUTATION ALGORITHM by Rudolf A. Neydorf, Artem A. Zhikulin

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Research on multi-objective energy optimization design for multi-story residential buildings in Suzhou region based on artificial neural networks by Zhongcheng Duan, Leilei Wang, Binhao Li, Gang Yao

“…First, a representative multi-story residential building in Suzhou was selected as the research object, and a simulation model was developed in Design Builder. …”
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Hybrid Algorithm for Image Denoising by Hanan Ali

“…The result of each method is compared with the new result outcome from the application of the new hybrid algorithm.…”
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Research on time-varying path optimization for multi-vehicle type fresh food logistics distribution considering energy consumption by Hao Chen, Wenxian Wang, Li Jia, Haiming Wang

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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

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Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudin... by Hiral Master, Jeffrey Annis, Jack H Ching, Karla Gleichauf, Lide Han, Peyton Coleman, Kelsie M Full, Neil Zheng, Douglas Ruderfer, John Hernandez, Logan D Schneider, Evan L Brittain

“…A publicly available R package facilitates the implementation of this algorithm for clinical and translational research.…”
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Explainable deep learning algorithm for identifying cerebral venous sinus thrombosis-related hemorrhage (CVST-ICH) from spontaneous intracerebral hemorrhage using computed tomograp... by Kai-Cheng Yang, Yunzhi Xu, Qing Lin, Li-Li Tang, Jia-wei Zhong, Hong-Na An, Yan-Qin Zeng, Ke Jia, Yujia Jin, Guoshen Yu, Feng Gao, Li Zhao, Lu-Sha Tong

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Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy by Yang Liu, Dawei Liu, Keyi Kang, Guanqing Wang, Yanzhao Rong, Weijun Wang, Siyu Liu

“…Taking a Chinese village as an example, the proposed model is optimized with an improved particle swarm optimization algorithm. Given different combinations with and without energy storage and demand response, comparative analyses are conducted on photovoltaic local consumption and the economic benefits of independent operators in various scenarios. …”
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RESEARCH OF MODES OF GAS-FLUID FLOWS MOTION APPLICABLE TO THE CONDITIONS OF FLOODING GAS WELLS OPERATION by R. A. Gasumov, E. R. Gasumov

“…Test examples are presented for comparing numerical modeling of the dependence of the critical low rate on the bottomhole pressure and the diameter of the lift pipes according to the developed algorithm. …”
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Nonvariational ADAPT algorithm for quantum simulations by Ho Lun Tang, Yanzhu Chen, Prakriti Biswas, Alicia B. Magann, Christian Arenz, Sophia E. Economou

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Universal algorithm for transforming Hamiltonian eigenvalues by Tatsuki Odake, Hlér Kristjánsson, Philip Taranto, Mio Murao

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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The technology based on the basic and improved STC algorithms. A methodology for comparing the improved STC algorithm with the basic STC algorithm has been developed. …”
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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

“…The proposed framework comprises a set of contributions including an Arabic comparative sentence keywords lexicon and a proposed algorithm for the identification of Arabic comparative sentences, followed by a second proposed algorithm for the classification of identified comparative sentences into different types. …”
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A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

“…Employing various classification algorithms, including Support Vector Machines (SVMs), Logistic Regression, and Random Forest, we compare their effectiveness on both original and feature-selected datasets. …”
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Optimisation of engineering system using a novel search algorithm: the Spacing Multi-Objective Genetic Algorithm by L. Falahiazar, H. Shah-Hosseini

“…The innovation of the proposed Spacing-MOGA lies in a new survival selection algorithm called Spacing Distance. This research eliminates some of the disadvantages of other algorithms such as the Non-dominated Sorting Genetic Algorithm II (NSGAII). …”
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Predictive Algorithms and Perceptions of Fairness: Parent Attitudes Toward Algorithmic Resource Allocation in K-12 Education by Rebecca A. Johnson, Simone Zhang

“…Although research has examined how elite discourses position algorithms as fair, we know less about how the public perceives them compared to traditional allocation methods. …”
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