A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Moving Signals and Their Measured Frequencies
In determining the classical Doppler Effect, two assumptions are used for computing the difference in distance travelled by consecutive signals: (a) the receptor is stationary, and (b) the emitter is stationary.
Iyer, Chandru, Prabhu, G. M.
core
On Model, Algorithms, and Experiment for Micro-Doppler-Based Recognition of Ballistic Targets
Adriano Rosario Persico +8 more
openalex +1 more source
Localisation of ventricular septal defects by simultaneous display of superimposed colour Doppler and cross sectional echocardiographic images. [PDF]
E. M. G. Ortiz +5 more
openalex +1 more source
Mispointing correction methods for the conically scanning WIVERN Doppler radar
Filippo Emilio Scarsi +5 more
openalex +1 more source
Enhancing Microrobot Swarm Stability and Adaptation by Autonomous Field‐of‐View Planning
This work presents an adaptive cross‐field‐of‐view navigation strategy for microrobot swarms in large‐scale workspaces by integrating global path planning via A* and local replanning using optimized informed rapidly‐exploring random tree star . The hybrid approach ensures efficient and robust trajectory execution in dynamic environments, enhancing the ...
Zhaowen Su +3 more
wiley +1 more source
Simultaneous HF measurements of E- and F-region Doppler velocities at large flow angles [PDF]
R. A. Makarevitch +2 more
openalex +1 more source
Skin‐Like Airflow Odometry for Micro Aerial Vehicles Based on Distributed Thermal Anemometers
A novel bioinspired skin‐like airflow odometry system for micro aerial vehicles employs distributed thermal anemometers to enable motion estimation in GNSS‐denied environments. Computational fluid dynamics simulation validates sensor deployment feasibility, while a transformer‐enhanced gated recurrent unit network extracts high‐precision airflow ...
Weicheng Di +7 more
wiley +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
This study demonstrates that using a Pedicle screw‐Rod configuration for the external fixation of non‐articular tibial osteotomy aligns well with the principles of biological osteosynthesis, resulting in secondary bone healing characterized by callus formation and neovascularization.
Mohammad Mahdi Gooran +3 more
wiley +1 more source

