Image Contrast Soiling Loss Quantification with Multiple Dust Types حسب Bing Guo (25387)

FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting حسب Shehel Yoosuf (23073535)

"…<p dir="ltr">Uncertainty quantification in spatiotemporal forecasting is crucial for decision-making. …"

Total Damages Quantification Method for Float Allocation حسب Jadallah, Khaled M. S.

احصل على النص الكامل

Automated quantification of penile curvature using artificial intelligence حسب Tariq O. Abbas (11247771)

Quantification of Serum Exosome Biomarkers Using 3D Nanoporous Gold and Spectrophotometry حسب Amera Al Mannai (16078459)

Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review حسب Mohamed Massaoudi (16888710)

"…Advanced quantification methods, including time-varying elasticity models, alternating current (AC) multi-temporal optimal power flow simulations, and region-based flexibility quantification techniques, are examined to establish accurate measurement frameworks. …"

Advanced Machine Learning and Deep Neural Network Models for Large-Scale Environmental Pollution Detection, Exposure Quantification, and Biomedical Impact Assessment Using Remote Sensing Data حسب Abdullaev, Ravshan

احصل على النص الكامل
احصل على النص الكامل

Global Sensitivity and Uncertainty Analysis of Asymmetric Bistable Energy Harvesters حسب Norenberg, Joao Pedro

احصل على النص الكامل

Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty حسب Aya Haraz (22225036)

الموضوعات:

Experimental quantification of punching shear capacity for large-scale GFRP-reinforced flat slabs made of synthetic fiber-reinforced self-compacting concrete dataset حسب AlHamaydeh, Mohammad

احصل على النص الكامل

Performance evaluation of novel fluorescent-based lateral flow immunoassay (LFIA) for rapid detection and quantification of total anti-SARS-CoV-2 S-RBD binding antibodies in infect... حسب Farah M. Shurrab (16324961)

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting حسب Panja, Madhurima

"…PARNN is constructed by improving autoregressive neural networks (ARNN) using autoregressive integrated moving average (ARIMA) feedback error. Notably, the PARNN model provides uncertainty quantification through prediction intervals and conformal predictions setting it apart from advanced deep learning tools. …"
احصل على النص الكامل

A General Model for Pointing Error of High Frequency Directional Antennas حسب Mohammad Taghi Dabiri (16904658)

"…<p dir="ltr">This paper focuses on providing an analytical framework for the quantification and evaluation of the pointing error for a general case at high-frequency millimeter wave (mmWave) and terahertz (THz) communication links. …"

When geoscience meets generative AI and large language models: Foundations, trends, and future challenges حسب Hadid, Abdenour

"…Some challenges still remain, such as ensuring physical interpretation, nefarious use cases, and trustworthiness. Beyond that, GAI models show promises to the geoscience community, especially with the support to climate change, urban science, atmospheric science, marine science, and planetary science through their extraordinary ability to data‐driven modelling and uncertainty quantification.…"
احصل على النص الكامل

Hydrogen Sulfide (H₂S) Sensor: A Concept of Physical Versus Virtual Sensing حسب Ahmed Alsarraj (16876014)

"…The proposed gas quantification model has the advantages of being low cost, easy to implement, and fast operation compared with the analytical solutions. …"

A novel in ovo model to study cancer metastasis using chicken embryos and GFP expressing cancer cells حسب Robin Augustine (3976964)

"…We herein demonstrate that the use of GFP expressing cancer cells allows easy detection and quantification of migrated cancer cells in the chicken embryo model, which minimizes the time and effort required in this types of studies compared to conventional histopathological analysis. …"

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences حسب Razieh Rastgoo (22457767)

"…Additionally, we propose a novel loss function based on Variational Inference and the Evidence Lower Bound (ELBO) to improve uncertainty quantification and prediction accuracy. Extensive evaluations on a real-world dataset against 64 baseline models using four evaluation metrics demonstrate the superiority of the proposed framework, establishing it as a state-of-the-art approach in ultra-short-term PV power forecasting. …"

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience حسب Marwan Abdellah (4435360)

"…The framework represents a major leap forward in simulation-based neuroscience, making it possible to employ high-resolution 3D structural models for quantification of surface areas and volumes, which are of the utmost importance for cellular and system simulations. …"

Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans حسب Kevin S. Chen (9201767)

"…There is an urgent need for disease-modifying therapies for Parkinson’s disease, but drug discovery is challenged by lack of in vivo models that recapitulate early stages of neurodegeneration. …"

Lewy body-like alpha-synuclein inclusions trigger reactive microgliosis prior to nigral degeneration حسب Megan F. Duffy (5713772)

"…<h3>Background</h3><p dir="ltr">Converging evidence suggests a role for microglia-mediated neuroinflammation in Parkinson’s disease (PD). Animal models of PD can serve as a platform to investigate the role of neuroinflammation in degeneration in PD. …"