Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks by Jingcheng Du, Dong Wang, Bin Lin, Long He, Liang-Chin Huang, Jingqi Wang, Frank J. Manion, Yeran Li, Nicole Cossrow, Lixia Yao

“…The annotation corpora contain 4,498, 579, and 252 annotated entity mentions for HPV Prevalence, Pneumococcal Epidemiology, and Pneumococcal Economic Burden tasks respectively. Deep learning algorithms achieved superior performance in recognizing the targeted SLR data elements, compared to conventional machine learning algorithms. …”
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A Review of Data Fusion Techniques by Federico Castanedo

“…Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion.…”
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Yoked surface codes by Craig Gidney, Michael Newman, Peter Brooks, Cody Jones

“…For two-dimensional architectures, the surface code has long been the leading candidate quantum memory, but can require upwards of a thousand physical qubits per logical qubit to reach algorithmically-relevant logical error rates. In this work, we introduce a hierarchical memory formed from surface codes concatenated into high-density parity check codes. …”
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The vessel movement optimisation with excessive control by С. Зинченко, А. Бень, П. Носов, И. Попович, В. Матейчук, О. Грошева

“…It is concluded that the development of such systems is relevant. Mathematical, algorithmic, and software have been developed for an onboard controller simulator of a vessel’s motion control system with excessive control, the operability and efficiency of which has been verified by numerical simulation in a closed circuit with a mathematical model of the control object for various types of vessels, navigation areas and weather conditions. …”
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Ways to integrate artificial intelligence technologies into training programs for government and municipal employees by A. O. Bidzhiev, L. A. Filimoniuk

“…According to the results of the study, the most common problems of integrating AI technologies into training programs are the shortage of qualified personnel, the lack of modern technical infrastructure and the low level of development of the relevant regulatory and legal framework – can be solved through large-scale cooperation with relevant companies, the creation of virtual laboratories using cloud platforms, as well as the formation of information and analytical systems containing auxiliary technologiesAt the same time, the actions of educational institutions within the framework of each approach require advance planning and should be carried out according to certain sequential algorithms.…”
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ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture by Zongyu Ming, Zimu Wu, Genlang Chen

“…Furthermore, our proposed most relevant dialogue retrieval process substantially enhances the answer accuracy of LLMs while examining the potential of the two most commonly used memory retrieval algorithms. …”
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ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance by Simon Schoenbeck, Ugur Kuter

“…We present our proposed algorithms, compare them to the most relevant related work via a walkthrough discussion, and describe experimental results from ARCHIMEDES in many mathematically abstract scenarios.…”
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Technology Policy Recommendations Using Artificial Intelligence by Ashita Anuga, Minh Nguyen, Dominick Perini, Andrei Svetovidov, Amanda Tolman, Qasim Wani, Feras A. Batarseh

“…Our approach consists of collecting datasets relevant to science and technology policies, utilizing AI to create methods for determining the best path forward, testing the validity of the algorithms using AI assurance, and measuring attributions to determine which components contribute to the outcomes most effectively. …”
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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts. by Matheus Viana da Silva, Natália de Carvalho Santos, Julie Ouellette, Baptiste Lacoste, Cesar H Comin

“…Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth labels for just a single image can take up to several hours. …”
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Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning by Tuyen Pham, Hana Dal Poz Kouřimská, Hubert Wagner

“…We also describe computational geometric algorithms that have been extended to this geometry, focusing on algorithms relevant for machine learning.…”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

“…Subsequently, an innovative correction model, based on grey relevancy degree and relevancy errors, is devised to rectify erroneous estimates. …”
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Algoritmische geletterdheid en mediapraktijken bij jongeren in Brussel by Sylvain Malcorps, Arnaud Claes, Thibault Philippette, Marie Dufrasne

“…Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. …”
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Data analysis in complex biomolecular systems by M. M. Yatskou, V. V. Apanasovich

“…The idea of an integrated approach is to use simulation modelling of biophysical processes occurring in the object of study, comparing simulated and most relevant experimental data selected by dimension reduction methods, determining the characteristics of the investigated processes using data analysis algorithms. …”
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Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review by Suli Li, Yihang Chu, Ying Wang, Yantong Wang, Shipeng Hu, Xiangye Wu, Xinwei Qi

“…This suggests that state-of-the-art ML-based algorithms for distinguishing melanoma from benign nevi may be ready for clinical use. …”
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Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals by Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk

“…The obtained results show that using hidden semi-Markov models as the top layer, instead of the hidden Markov models, ranks top in all the relevant metrics among the tested combinations. The choice of the presented methodology for the control of prosthetic hand is also supported by the equal or lower computational complexity required, compared to other algorithms, which enables the implementation on low-power microcontrollers, and the ability to adapt to user preferences of executing individual movements during activities of daily living.…”
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Chondrogenic Cancer Grading by Combining Machine and Deep Learning with Raman Spectra of Histopathological Tissues by Gianmarco Lazzini, Mario D’Acunto

“…In particular, in the last years several studies have demonstrated how the diagnostic performances of RS can be significantly improved by employing machine learning (ML) algorithms for the interpretation of Raman-based data. …”
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Inhalation Injury (A Literature Review) by E. A. Zhirkova, T. G. Spiridonova, P. A. Brygin, A. V. Makarov, A. V. Sachkov

“…This, in turn, leads to the absence of clear criteria for the severity of inhalation injury and treatment algorithms.…”
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A gender critique of the EU directive on platform work from the perspective of feminised and racialised labour by Nelli Kambouri

“…In the text of the directive there are few references to “gender” or to “women” and important issues like work-life balance, equal pay for equal work, sexual harassment, intersectional gender discrimination, or paid maternity and paternity leaves are mentioned but not considered. Based on the relevant literature, the article explores the gendered challenges that will emerge from its implementation especially regarding reproductive labour and algorithmic biases. …”
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SYSTEM ANALYSIS OF MAJOR TRENDS IN DEVELOPMENT OF ADAPTIVE TRAFFIC FLOW MANAGEMENT METHODS by A. N. Klimovich, V. N. Shuts

“…Adaptive algorithms, which current traffic systems are based on, exist for many decades. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…In this paper, the different computation efficiencies of the algorithms are compared according to the computing times of relevant algorithms.…”
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