On the strength and failure mechanism of confined pre-holed jointed rock mass via DIC by Wei Wang, Wei Wang, Yundong Bi, Shuo Yang, Shuo Yang

“…For jointed rock mass with anisotropy, stress field and the structure of surrounding rock mass change with the underground construction, for example, during deep-ground tunnel excavation which is associated with ground depth and joint angles. Currently, it is difficult to reasonably predict localized deformation of jointed rock mass with existing theory. …”
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Case-Based Approach to Detect Cancer in Women with Curative Intent at Beginning by Imran Majeed, Ahmad Imran, Mazhar Hussain, Mubahir Ali Syed, Tuba Zainab, Hamza Waheed, Tayyaba Dawood, Iqra Danish, Maryam Zeb, Kashif Hameed, Mehreen Farooq, Fatima Amjad, Razia Faqeer, Maria Abdullah

“…Case-based reasoning (CBR) is a strategy to apply problem solution data of currently tackled issues by the arrangement of coming issues. …”
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Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology by Anand E. Rajesh, Abraham Olvera-Barrios, Alasdair N. Warwick, Yue Wu, Kelsey V. Stuart, Mahantesh I. Biradar, Chuin Ying Ung, Anthony P. Khawaja, Robert Luben, Paul J. Foster, Charles R. Cleland, William U. Makupa, Alastair K. Denniston, Matthew J. Burton, Andrew Bastawrous, Pearse A. Keane, Mark A. Chia, Angus W. Turner, Cecilia S. Lee, Adnan Tufail, Aaron Y. Lee, Catherine Egan, UK Biobank Eye and Vision Consortium

“…RPS may serve as a useful metric to quantify the diversity of the training, validation, and testing datasets used in the development of AI algorithms to ensure adequate inclusion and explainability of the model performance, critical in evaluating all currently deployed AI models. …”
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Bird Species Detection Net: Bird Species Detection Based on the Extraction of Local Details and Global Information Using a Dual-Feature Mixer by Chaoyang Li, Zhipeng He, Kai Lu, Chaoyang Fang

“…However, this task remains challenging due to local structural similarities and class imbalances among bird species. Currently, most deep learning algorithms focus on designing local feature extraction modules while ignoring the importance of global information. …”
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Research on Maneuvering Motion Prediction for Intelligent Ships Based on LSTM-Multi-Head Attention Model by Dongyu Liu, Xiaopeng Gao, Cong Huo, Wentao Su

“…The results demonstrate that our proposed model significantly improves the accuracy of ship maneuvering predictions compared to standalone LSTM and MHAM algorithms and exhibits superior generalization performance.…”
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Behavioral economics: science or exoticism? by I. N. Drogobytsky

“…In an effort to “humanize” too hard, the best solutions generated strictly deterministic algorithmic information systems, practitioners, economists transformed them into “digestible” options implemented management actions. …”
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Method of 128-position quadrature amplitude-polarization manipulation by P. E. Korneev

“…The techniques based on the use of algorithms for processing special types of signals are the most promising to this date. …”
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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

“…Pyrimidines have been shown as promising nontoxic corrosion inhibitors for carbon steel in acid media that can replace toxic chemicals currently in use. However, the discovery of this important corrosion inhibitor has mainly be conducted by expensive trial and error experimental approaches. …”
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“The hard problem” of consciousness in the light of phenomenology of аrtificial intelligence by Oleksandr Bilokobylskyi

“…The implementation of Artificial Intelligence technologies is not accompanied by the development of a philosophy of human coexistence and AI. The algorithms underlying the activities of currently existing intellectual technologies do not guarantee that their intermediate and final results comply with ethical criteria. …”
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Microcephalic osteodysplastic primordial dwarfism type II in four Indian children with PCNT variants by Amit Singh, Mahak Garg, Mohammed Shariq, Preeti Khetarpal, Inusha Panigrahi

“…Data were analyzed using standard bioinformatic algorithms and possible causal variants identified. …”
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Inference of population structure using dense haplotype data. by Daniel John Lawson, Garrett Hellenthal, Simon Myers, Daniel Falush

“…In parallel, we have developed an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA in terms of interpretability and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure. …”
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Analysis of the main approaches to modeling management processes for special-purpose organizational and technical systems by A. F. Salnikov, K. V. Ivanova, N. A. Merkulova

“…Objective. Currently, the task of increasing the spectral solvability of a video stream using modern frame filtering methods is urgent. …”
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Overview of Startups Developing Artificial Intelligence for the Energy Sector by Naiyer Mohammadi Lanbaran, Darius Naujokaitis, Gediminas Kairaitis, Gabrielė Jenciūtė, Neringa Radziukynienė

“…Startup companies in this revolution use AI technologies like Machine Learning (ML), predictive analytics, and optimization algorithms to improve energy efficiency, optimize grid management, and incorporate renewable energy sources. …”
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Artificial Intelligence in Pathology: Past, Present, and Future Perspectives by Isma Balaj, Sibora Bërdica, Teona Bushati

“…Conclusion: There has been a significant increase in the development and application of AI tools, including image-based algorithms, in pathology services, and they are expected to dominate the field in the coming years. …”
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Аortic arch atheroma as a source of arterio-arterial embolism and ischemic stroke by G. R. Ramazanov, A. N. Trofimova, E. A. Kovaleva, E. V. Shevchenko

“…Introduction. Currently, despite the introduction of modern diagnostic algorithms in 20-40 % of patients with ischemic stroke, it is not possible to establish its cause. …”
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Deriving household composition using population-scale electronic health record data-A reproducible methodology. by Rhodri D Johnson, Lucy J Griffiths, Joe P Hollinghurst, Ashley Akbari, Alexandra Lee, Daniel A Thompson, Ronan A Lyons, Richard Fry

“…Most methods to understand housing composition are based on survey or census data, and there is currently no reproducible methodology for creating population-level household composition measures using linked administrative data.…”
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Elephant Flows Detection Using Deep Neural Network, Convolutional Neural Network, Long Short-Term Memory, and Autoencoder by Getahun Wassie Geremew, Jianguo Ding

“…Currently, the widespread of real-time applications such as VoIP and videos-based applications require more data rates and reduced latency to ensure better quality of service (QoS). …”
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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…A deep-learning approach for the latter is currently under development. MetaboLabPy is available via the Python Package Index or via GitHub.…”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…Currently, mining AI video systems mainly rely on ground servers for analysis and processing, which leads to issues such as high overall response latency, multi-system linkage delays, and high network bandwidth utilization. …”
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Diversity of rotavirus strains causing diarrhea in <5 years old Chinese children: a systematic review. by Yue Li, Song-Mei Wang, Shan-Shan Zhen, Ying Chen, Wei Deng, Paul E Kilgore, Xuan-Yi Wang

“…These results suggest that Chinese children will be adequately protected with currently available or forthcoming rotavirus vaccines.…”
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