Clever Sensor Layer Fusion Architecture targeting unification of both device and state level
Masanori Miyazaki+3 more
openalex +2 more sources
Multi-Sensor Fusion for Wheel-Inertial-Visual Systems Using a Fuzzification-Assisted Iterated Error State Kalman Filter. [PDF]
Huang G+7 more
europepmc +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Real-Time Postural Disturbance Detection Through Sensor Fusion of EEG and Motion Data Using Machine Learning. [PDF]
Wang Z+8 more
europepmc +1 more source
Abstract Purpose The dual‐layer multileaf collimator (MLC) in Halcyon adds complexities to the dose calculation process owing to the variability of dosimetric characteristics with leaf motion. Recently, an enhanced leaf model (ELM) was developed to refine the MLC model in the Eclipse treatment planning system. This study investigates the performance of
Ryohei Miyasaka+6 more
wiley +1 more source
Research on Positioning and Navigation System of Greenhouse Mobile Robot Based on Multi-Sensor Fusion. [PDF]
Cheng B+5 more
europepmc +1 more source
Performance evaluation of multi-sensor data fusion technique for test range application
Shrabani Bhattacharya, R. Appavu Raj
openalex +2 more sources
Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang+13 more
wiley +1 more source
Error Analysis and Modeling of a Large Component Assembly Monitoring System Based on Multi-Sensor Fusion. [PDF]
Guo Z, Lu F, Jiao T, Yu J, Chang F.
europepmc +1 more source