Results 141 to 150 of about 19,064 (239)

Intelligent Urban Traffic Congestion Prediction Through Accident-Aware and Time-Dependent Traffic Analytics. [PDF]

Sensors (Basel)
Ali A, Zafar N, Albahli S, Shiraz M.
europepmc   +1 more source

Application of a Presumptive Standards Approach to Evaluate Environmental Flows in a Highly Regulated River Basin

River Research and Applications, Volume 42, Issue 8, Page 1736-1754, October 2026.
ABSTRACT The presumptive standards approach to environmental flows offers a method to develop interim guidelines for ecological and social‐cultural flow needs. The approach is based on deriving acceptable percent‐of‐flow limits based on naturalised flows (the absence of depletion or alteration of flow), and it can be an effective precursor to a full ...
Jennifer Lento, Wendy A. Monk, Fuad Yassin, Mustakim Ali, Hayley Carlson, Saman Razavi, Timothy D. Jardine   +6 more
wiley   +1 more source

Deep Learning-Based Temporal Gait Analysis Using a Smartphone IMU in Older Adults with and Without Non-Specific Low Back Pain. [PDF]

Bioengineering (Basel)
Vivar G, Singh S, Bea T, Saal C, Munoz-Martel V, Schega L.   +5 more
europepmc   +1 more source

Digital Twins for Offshore Wind Operation and Maintenance: A Review

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu, Ravi Pandit, Yifan Zhao, Bernadin Namoano, Jiarong Hong   +4 more
wiley   +1 more source

The role of AI in combating misinformation: leveraging text mining and social networking analysis. [PDF]

Sci Rep
Rohan A, Islam MA, Yoshi AM, Islam MM, Kabir MF, Ahmed KR.   +5 more
europepmc   +1 more source

Enhancing Tropical Cyclone Prediction Through AI Weather Model Ensemble Forecasts and Multi‐Source Data Integration

Earth and Space Science, Volume 13, Issue 10, October 2026.
Abstract Tropical cyclone (TC) forecasting is essential for disaster preparedness, yet accurate intensity prediction remains challenging, particularly during rapid intensification. This study proposes TianXing‐TC, a lightweight probabilistic post‐processing framework that leverages ensemble forecasts from the AI weather prediction model TianXing and ...
Shijin Yuan, Guansong Wang, Bin Mu, Feifan Zhou, Hao Li, Yake Zhang   +5 more
wiley   +1 more source

Predicting influenza in the post-COVID era: assessing LSTM, GRU, and transformer robustness to covariate shift. [PDF]

Front Artif Intell
Din ANA, Woldegerima WA, Wu J.
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

A Screened IMM-GRU Method for Low-Probability-of-Intercept Maneuvering Target Tracking. [PDF]

Sensors (Basel)
Rui J, Chen J, Wang Z, Huang W, Xia S, Wang J.   +5 more
europepmc   +1 more source

A Lagrangian Time‐Series Machine Learning Framework for Predicting Concentrations and Exploring Drivers of Atmospheric Aerosols: Model Development and Application to Cloud Condensation Nuclei in Marine Boundary Layer

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract Atmospheric aerosols play critical roles in climate and air quality. Accurately assessing their environmental impacts requires understanding aerosol abundance, distribution, and the key factors and processes that control them. Although machine learning is increasingly used in predicting aerosol concentrations, its application in exploring ...
Shengqian Zhou, Dong Qi, Hanyang Liu, Yevgeniy Vorobeychik, Jian Wang   +4 more
wiley   +1 more source