A5076592390- Advanced Measurement and Metrology Techniques
- Advanced Numerical Analysis Techniques
- Advanced machining processes and optimization
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Machine Learning in Healthcare
- Spectroscopy and Chemometric Analyses
- Sepsis Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Pneumonia and Respiratory Infections
- GABA and Rice Research
- Smart Agriculture and AI
Harbin Engineering University
2022-2025
University of Calgary
2025
Most of toolpaths for machining is composed series short linear segments (G01 command), which limits the feedrate and quality. To generate a smooth path, new optimization strategy proposed to optimize toolpath at curvature level. First, three essential components are introduced, local corner smoothness converted into an problem. The challenge then resolved by intelligent algorithm. Considering influence population size computational resources on algorithms, deep learning algorithm (the...
Abstract Background Sepsis is a major global health problem. However, it lacks true reference standard for case identification, complicating epidemiologic surveillance. Consensus definitions have changed multiple times, clinicians struggle to identify sepsis at the bedside, and differing identification algorithms generate wide variation in incidence rates. The two current approaches use codes from administrative data, or electronic record (EHR)-based such as Center Disease Control Adult...
ABSTRACT With the rapid development of medical imaging technology, 3D image segmentation technology has gradually become a mainstream method, especially in brain tumour detection and diagnosis showing its unique advantages. The technique makes full use spatial information to locate analyze tumours more accurately, thus playing an important role improving diagnostic accuracy, optimising treatment planning promoting research. However, it also suffers from significant computational expenditure...
For the quality inspection of brown rice, segmentation connected rice and identification germ integrity are very important. However, there is no better traditional algorithm to achieve recognition results. This paper improves (BR) based on background skeleton. The candidate matching points obtained by skeleton method, optimal found ant colony algorithm. Experimental results show that proposed achieves 96% accuracy, indicating it can effectively suppress interference from endosperm surface....
<title>Abstract</title> Most of toolpaths for machining is composed series short linear segments (G01 command), which limits the feedrate and quality. To generate a smooth path, new optimization strategy proposed to optimize toolpath at curvature level. First, three essential components are introduced, local corner smoothness converted into an problem. The challenge then resolved by intelligent algorithm. Considering influence population size computational resources on algorithms, deep...