Yi‐Hsiang Lai
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View article: A Multi‐Strategy Enhanced Wolf Pack Algorithm for Three‐Dimensional Path Planning of Unmanned Aerial Vehicles
A Multi‐Strategy Enhanced Wolf Pack Algorithm for Three‐Dimensional Path Planning of Unmanned Aerial Vehicles Open
In this paper, a Multi‐strategy Enhanced Wolf Pack Algorithm (MSEWPA) is proposed to address the three‐dimensional (3D) path planning problem for unmanned aerial vehicles (UAVs) in complex environments. Initially, a mathematical model for …
View article: Automated Deep Learning Optimization via DSL-Based Source Code Transformation
Automated Deep Learning Optimization via DSL-Based Source Code Transformation Open
As deep learning models become increasingly bigger and more complex, it is critical to improve model training and inference efficiency. Though a variety of highly optimized libraries and packages (known as DL kernels) have been developed, …
View article: Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis
Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis Open
Background Survival is an important factor to consider when clinicians make treatment decisions for patients with skeletal metastasis. Several preoperative scoring systems (PSSs) have been developed to aid in survival prediction. Although …
View article: Can a Bayesian belief network for survival prediction in patients with extremity metastases (PATHFx) be externally validated in an Asian cohort of 356 surgically treated patients?
Can a Bayesian belief network for survival prediction in patients with extremity metastases (PATHFx) be externally validated in an Asian cohort of 356 surgically treated patients? Open
Background and purpose: Predicted survival may influence the treatment decision for patients with skeletal extremity metastasis, and PATHFx was designed to predict the likelihood of a patient dying in the next 24 months. However, the perfo…
View article: International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment
International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment Open
Background The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory abili…
View article: Bring Your Own Codegen to Deep Learning Compiler
Bring Your Own Codegen to Deep Learning Compiler Open
Deep neural networks (DNNs) have been ubiquitously applied in many applications, and accelerators are emerged as an enabler to support the fast and efficient inference tasks of these applications. However, to achieve high model coverage wi…