An Accurate QRS complex and P wave Detection in ECG Signals using Complete Ensemble Empirical Mode Decomposition Approach. [PDF]
Hossain B +4 more
europepmc +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition. [PDF]
Zhang W, Zhou J.
europepmc +1 more source
ABSTRACT Active and stable electrocatalysts are critical for sustainable hydrogen production, particularly for high‐current‐density water electrolysis and specialized applications like seawater splitting. However, most water‐splitting electrocatalysts show limited activity at high current densities and poor long‐term stability, making it difficult to ...
Nikhil Komalla, Nelson Y. Dzade
wiley +1 more source
Correlative singular value decomposition 4D‐STEM analysis of the potential, electric field, and charge density distributions with crystal orientation, strain across grain boundaries in polycrystalline materials. ABSTRACT Space charge layers (SCLs) at grain boundaries play a crucial role in modulating electric fields and thereby influence functional ...
Sangjun Kang +14 more
wiley +1 more source
Spatial Statistics for Screening Molecular Structures
Deep architectures for materials discovery demand vast training data and obscure the structure‐property link. This review shows how spatial statistics offer a physically grounded alternative: voxelized fields and two‐point correlations, compressed by principal component analysis, yield convex, interpretable descriptors. Lean surrogates then reach sub‐2%
Pranoy Ray, Surya R. Kalidindi
wiley +1 more source
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. [PDF]
Prosvirin AE, Islam M, Kim J, Kim JM.
europepmc +1 more source
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
Fast multidimensional ensemble empirical mode decomposition for the analysis of big spatio-temporal datasets. [PDF]
Wu Z, Feng J, Qiao F, Tan ZM.
europepmc +1 more source

