Results 221 to 230 of about 4,027,935 (330)
UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo+4 more
wiley +1 more source
Transient Thermal Energy Harvesting at a Single Temperature Using Nonlinearity. [PDF]
Amin TB+7 more
europepmc +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
A Ca<sup>2+</sup> puff model based on integrodifferential equations. [PDF]
Hawker M+4 more
europepmc +1 more source
This study introduces a data augmentation method that expands an ophthalmology dataset by 12x, enhancing robustness and reducing overfitting. A novel VNet architecture improves accuracy by 10% over the original dataset and 5% over Grand Challenge benchmarks.
Samad Azimi Abriz+3 more
wiley +1 more source
Fractal perspective of superquadratic functions with generalized probability estimations. [PDF]
Butt SI, Khan D, Seol Y.
europepmc +1 more source
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang+5 more
wiley +1 more source
Introducing novel arc cosine-Ψ class of distribution with theory and data evaluation related to coronavirus. [PDF]
Ahmad A+7 more
europepmc +1 more source
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla+8 more
wiley +1 more source
The Reasonable Ineffectiveness of Mathematics in the Biological Sciences. [PDF]
Garte S, Marshall P, Kauffman S.
europepmc +1 more source