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12621
Towards Simpler Approaches for Assessing Fuel Efficiency and CO<sub>2</sub> Emissions of Vehicle Engines in Real Traffic Conditions Using On-Board Diagnostic Data
Published 2024-09-01“…This methodology employs an OBD interface paired with a mobile phone data logging application to capture vehicle kinematics, engine parameters, and fuel consumption. …”
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12622
Parchment Glutamine Index (PQI): A novel method to estimate glutamine deamidation levels in parchment collagen obtained from low-quality MALDI-TOF data
Published 2023-01-01“…To test the robustness of the workflow, we applied MALDIpqi() to previously published ZooMS data generated from almost an entire library of the Cistercian monastery at Orval Abbey, Belgium. …”
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12623
A data-driven deep learning approach incorporating investor sentiment and government interventions to predict post-crash stock return in China's A-share market
Published 2025-05-01“…This data-driven approach, analogous to the stand-alone application of SMOTE for data balancing, offers a robust framework that can be integrated with other post-crisis models, thereby providing promising directions for future research and practical implementation.…”
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12626
Remote Sensing Survey of Chlorophyll-a Concentration in River-Type Reservoirs Based on GF-1 Image Data: Taking Feilaixia–Changhu Reservoir Area as an Example
Published 2025-01-01“…This study not only expands the application of the Deng model in river-type reservoirs but also provides a scientific basis for regional water environment management.…”
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12627
Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio...
Published 2025-08-01“…The study concludes that integrating physics-informed ML models, using multimodal data, and employing inverse design will be crucial for advancing the intelligent development of high-performance Mg alloys for sustainable engineering applications.…”
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12628
Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network
Published 2024-12-01“…However, the method requires data acquisition using customized, complex acquisition strategies and dedicated post processing methods thereby limiting its widespread application.ObjectiveTo develop a deep learning (DL) network for synthesizing MRF signals from conventional magnitude-only MR imaging data and to compare the results to the actual MRF signal acquired.MethodsA U-Net DL network was developed to synthesize MRF signals from magnitude-only 3D T1-weighted brain MRI data acquired from 37 volunteers aged between 21 and 62 years of age. …”
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12629
Impact of hemoadsorption with CytoSorb® on meropenem and piperacillin exposure in critically ill patients in a post-CKRT setup: a single-center, retrospective data analysis
Published 2025-01-01“…There is limited clinical data on the effect of CS on the plasma concentrations of beta-lactams. …”
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12630
Associations between smartphone GPS data and changes in psychological health and burden outcomes among family caregivers and patients with advanced cancer: an exploratory longitudi...
Published 2025-04-01“…For patient outcomes, caregiver smartphone data accounted for small variance in anxiety symptoms (0.07); patient smartphone data predicted large variance in anxiety symptoms (0.24). …”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS
Published 2024-09-01“… In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. …”
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12633
BIOMETRIC TECHNOLOGIES AS A PERSPECTIVE DIRECTION OF IMPROVING REMOTE BANK SERVICE
Published 2020-07-01“…The main aspects of the process of collecting, processing, checking and storing biometric data, the functioning status of Single Biometric System (SBS) have been highlighted. …”
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12634
Architecture and implementation of online testing to check solutions to Olympiad programming problems
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12635
Investigating the Effects of Labeled Data on Parameterized Physics-Informed Neural Networks for Surrogate Modeling: Design Optimization for Drag Reduction over a Forward-Facing Ste...
Published 2024-12-01“…Conversely, FNNs exhibit inconsistent responses to parameter changes when trained with labeled data, suggesting limitations in their applicability for certain design optimization tasks. …”
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12636
Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach
Published 2022-12-01“…Furthermore, the intercomparison with the well-known and most used Local Maximum (LM) suggested the applicability of the proposed method. After point cloud generation, the proposed method was implemented entirely in Python using open-source packages, which increases its applicability for other scholars and managers. …”
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12637
Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, an...
Published 2025-05-01“…Abstract The integration of Internet of Things (IoT) sensors and Machine Learning (ML) technologies has transformed precision agriculture by enabling data-driven, adaptive, and efficient farming practices. …”
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12638
Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results
Published 2025-08-01“…Methods We introduced a three-tier “basket model”—cells (small baskets), columns (medium baskets), and the full table (large basket)—to transform rectangular data into weighted co-word matrices. Using publicly available 2023 HCAHPS survey data from 52 U.S. states and territories, we applied a follower-leader clustering algorithm (FLCA) implemented in R. …”
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Cerebrospinal fluid data compilation and knowledge-based interpretation of bacterial, viral, parasitic, oncological, chronic inflammatory and demyelinating diseases. Diagnostic pat...
Published 2016-04-01“…., CSF flow rate, cytology, lactate, antibodies) in a cumulative CSF data report allows a knowledge-based interpretation and provides analytical and medical plausibility for the quality assessment in CSF laboratories. …”
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