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3841
Human AI collaboration for unsupervised categorization of live surgical feedback
Published 2024-12-01“…We propose a Human-AI Collaborative Refinement Process that uses unsupervised machine learning (Topic Modeling) with human refinement to discover feedback categories from surgical transcripts. …”
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3842
A machine learning framework to measure Water Drop Penetration Time (WDPT) for soil water repellency analysis
Published 2024-12-01“…It consists of an electronically controlled mechanism to release a water drop, and a video camera to record the water penetration process. The latter is modeled as an “action” in video and Temporal Action Localization (TAL) analytics is used for predicting the WDPT and assessing the SWR level.…”
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3843
MECHANISMS OF MANTLE‐CRUST INTERACTION AT DEEP LEVELS OF COLLISION OROGENS (CASE OF THE OLKHON REGION, WEST PRIBAIKALIE)
Published 2017-06-01“…Considering petrology, the deep mafic chamber under the layer of granulite facies is evidenced by metamorphic magma mingling, as well as pipe‐shaped intrusions characterized by the specific morphology, internal structure and bulk rock compositions. …”
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3844
MULTIMODAL APPROACH TO THE STUDY OF SPECIALIZED TEXTS IN TECHNICAL DISCOURSE
Published 2023-12-01“…Given that, a distinctive feature of multimodal technical discourse is the presence of accompanying drawings or / and explanatory drawings, which demonstrate all the geometric parameters and other information concerning the manufacturing processes of the product. From an extralinguistic point of view, it is not the language that is considered, but a drawing, a table, a diagram as a whole, creating an image and representing encrypted data, the correct analysis of which reveals a large layer of technical information. …”
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3845
Structural, physical, optical, mechanical, and radiation shielding investigation of tantalum pentoxide doped Germanate-Tellurite-Borate based glass system
Published 2025-08-01“…Moreover, the half-value layer (HVL) at 0.05 MeV is reduced from about 0.15 cm for the Ta0.5 sample to 0.14 cm for the Ta2.5 sample. …”
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3846
On Knowledge-Based Forecasting Approach for Predicting the Effects of Oil Spills on the Ground
Published 2021-01-01“…It consists of components for modelling geological environment (i.e., geological layers, oil spill form, the oil migration with groundwater), forecasting component for an oil spill and pollution mitigation component. …”
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3847
Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems
Published 2025-05-01“…By modeling the noisy backhaul link as a binarized feedforward layer, we developed a new neural network architecture suitable for AoA estimation using wireless sensor array systems, and we trained it using a straight-through gradient estimator. …”
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3848
Palynofacies and Sporomorph EcoGroups-based paleoecology implications for the Dalichai Formation, Andariyeh, central Alborz
Published 2020-03-01“…In addition, The Sporomorph Ecogroup Model (SEG model) of Abbink et al. (2001, 2004a) was applied to the Dalichai Formation. …”
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3849
Fabrication of Air Cavity Structures Using DRIE for Acoustic Signal Confinement in FBAR Devices
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3850
PATHOMORPHOLOGICAL CHANGES IN THE VESSELS OF THE HEART AND THE LUNGS IN PNEUMOCONIOSIS
Published 2017-09-01“…Similar disorders of the structure of the vessels of the heart and of the lungs were formed during the experimental pneumoconiosis modeling. Morphological changes began to develop after 3 weeks of exposure to coal-rock dust and reached a maximum degree of expression by the 12th week of the experiment. …”
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3851
Key technology of fine description of complex fault block reservoir and its application
Published 2023-04-01“…Six key technologies have been gradually formed, including small layer division and fine correlation of complex fault block reservoirs, low-order fault identification, comprehensive characterization of delta reservoirs, formation and main controlling factors of dominant permeability channels in the process of water injection development, three-dimensional geological modeling of complex fault block reservoirs, and quantitative characterization and distribution of remaining oil, which are applied to five typical blocks, including two types of reservoir genesis of fan delta and braided river delta, and two types of physical properties of medium permeability and low permeability. …”
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3852
Risk management of emergency situations caused by flooding of built‐up mountain areas
Published 2024-04-01“…The approach proposed by the authors is based on the application of a set of methods, including methods of: system analysis, forecasting, numerical modeling, followed by the development of an optimal management solution of emergency situations at the municipal level.As a result of the numerical modeling carried out in the work, the variants of drainage systems and their operating mode are determined within the framework of the implementation of the proposed approach in the simulation mode. …”
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3853
Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls
Published 2025-01-01“…Finally, the global sensitivity analysis method was adopted, focusing on revealing the influence laws of key parameters (<italic>K</italic>, <italic>n</italic>, <italic>φ</italic><sub>0</sub> and <italic>P</italic><sub>Mt</sub>), their coefficients of variation and spatial fluctuation ranges on the deformation characteristics of the retaining wall, and quantitatively analyzing the mapping relationship between each parameter and the deformation response of the structure.Results and Discussions Through the in-depth analysis of the random field parameters of foundation soil, backfill soil and geocell-reinforced retaining wall, it is revealed that the soil parameters have significant layering characteristics and the trend of change with depth, which is highly consistent with the layering distribution characteristics of the soil in the actual project, and verifies the reliability of the constructed random field model. …”
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3854
Early diagenesis in anoxic sediments of the Gulf of Gdańsk (southern Baltic Sea): Implications for porewater chemistry and benthic flux of carbonate alkalinity
Published 2025-06-01“…According to recent modeling studies, anaerobic processes in sediments are an important internal source of alkalinity in the Baltic Sea. …”
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3855
Industrial-Grade 3D Detection for Laser Cleaning of Metallic Components Based on Neural Radiance Fields and Temporal-Spatial Learning
Published 2025-01-01“…Propose a NeRF optimization strategy based on Octree scene partitioning to achieve high-fidelity reconstruction of micro-structures such as rust layer edges and micro-cracks; 3. Improve the collaborative modeling ability between multi-temporal images through cross-scale attention fusion; 4. …”
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3856
FIELD TECTONOPHYSICS IN SOLUTIONS OF GEODYNAMIC EVOLUTION PROBLEMS OF THE UKRAINE TERRITORY
Published 2015-09-01“…The integrated approach combining kinematic and structural-paragenetic field tectonophysics techniques allows us to construct a continuous time scan of the stress-strain state (SSS) and deformation modes (DM) from sediment lithification to the final orogenic process for the studied areas. Definitions of the continuous sequence of SSS and DM provide for control of the known geodynamic reconstructions and adjustment of geodynamic models. …”
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3857
Application of Magnetic Aquatic Plant Biochar for Efficient Removal of Antimony from Water: Adsorption Properties and Mechanism
Published 2024-12-01“…The adsorption rate of Sb by LMBC was relatively rapid, and the kinetics of adsorption conformed to a pseudo-second-order kinetic model. The adsorption isotherm was consistent with the Langmuir and Freundlich models, and the maximum adsorption capacity of Sb reached 26.07 mg/g, suggesting that the adsorption process pertained to the adsorption of multi-molecular layers. …”
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3858
Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia
Published 2025-06-01“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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3859
Novel ANN Method for Solving Ordinary and Time-Fractional Black–Scholes Equation
Published 2021-01-01“…The model also takes advantage of fine-tuning for speeding up the process and domain mapping to confront the infinite domain issue. …”
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3860
Effect of cellular protein kinases blockade on the s100 retina expression in experimental diabetic retinopathy
Published 2024-12-01“…With the development of experimental DR, the expression of S100 protein significantly increased in the bodies and processes of astrocytes and Müller cells. The latter were mainly located in the inner nuclear layer, significantly increased in size and had a process-like shape (reactive gliosis). …”
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