A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu +3 more
wiley +1 more source
How does mindfulness affect media employees' creative engagement? The chain-mediation model of institutional pressures and career adaptability. [PDF]
Wu M, Gao Y.
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Slice-aware 5G network orchestration framework based on dual-slice isolation and management strategy (D-SIMS). [PDF]
Venkatapathy S +5 more
europepmc +1 more source
Metabolic Plasticity and Transcriptomic Reprogramming Orchestrate Hypoxia Adaptation in Yak. [PDF]
Huang C +11 more
europepmc +1 more source
Supervised machine learning applied in nursing notes for identifying the need of childhood cancer patients for psychosocial support. [PDF]
Reunamo A +3 more
europepmc +1 more source
Descriptive analysis of municipal policies addressing shade in eight southwest and northeast states in the United States. [PDF]
Buller DB +6 more
europepmc +1 more source
Reserves and Resources — Snakes and Ladders
openaire +2 more sources
COPD-MMDDxNet: a multimodal deep learning framework for accurate COPD diagnosis using electronic medical records. [PDF]
Yi Y +5 more
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2018 IEEE International Conference on Cloud Engineering (IC2E), 2018Given a large variety of resources and billing contracts offered by today’s cloud providers, customers face a nontrivial optimization challenge for their application workloads. A number of works are dealing with either billing contracts selection optimization or resource types selection.
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