Results 191 to 200 of about 566,893 (298)

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Simulation dataset on power and size of Wald, likelihood-ratio, and score test statistics in parametric competing risks models under hybrid censoring. [PDF]

Data Brief
Nurmukhamedova NS.
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Methodological and Reporting Concerns Regarding "Adverse Drug Events Associated with Opioid Treatment for Pain After Motor Vehicle Crash" [Letter]. [PDF]

J Pain Res
Kaur S.
europepmc   +1 more source

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Vulnerable road user fatalities are associated with greater trauma: Long-term autopsy-based trends in Czechia (1969-2024). [PDF]

PLoS One
Bíl M, Andrášik R, Svrchokryl V, Dobiáš M, Bílová M.   +4 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

An Intelligent Piezoelectric System Integrating Self‐Sensing and Autonomous Operation for Adaptive Vibration Control

Advanced Intelligent Systems, EarlyView.
An intelligent piezoelectric vibration control system integrating self‐sensing, autonomous operation, and adaptive bias‐flip synchronized switching damping (SSD) is developed. The system detects vibration extrema, executes synchronized switching control, and autonomously establishes the bias voltage without external sensing instruments, achieving ...
Hao Tang, Weiqun Liu, Guobiao Hu
wiley   +1 more source

Simulation-based approach with an adaptive Type-II hybrid progressive censoring scheme to study the coefficient of variation of the weighted exponential distribution. [PDF]

PLoS One
Aljohani HM, Alharthi AS, Almohri WAJ, Aljeddani SMA, Alsubaie NE, El-Sharkawy WA.   +5 more
europepmc   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source