Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study. [PDF]
JMIR Med InformHuang Y +6 more
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A Case Study of Disruptive Forces in the Operations Support Systems Industry
, 2007 Suddenly there is a disruption in the industry. Strong, ruling enterprises collapse and newcomers take over. Enormous wins and losses are at stake. Could this have been foreseen? Clayton M. Christensen and co-workers (1997, 2003, 2004) have recently significantly improved the theories for anticipating radical industry changes.
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Development and evaluation of surface-guided patient position system for boron neutron capture therapy. [PDF]
Sci RepChen J, Xie QL, Ping JJ, Hou TT, Liu YH.
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An innovative approach to welding robot operator reliability analysis using extended TESEO and HEART methods. [PDF]
Sci RepPałęga M +3 more
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A complex circular intuitionistic fuzzy decision framework for evaluating sustainable agriculture strategies under uncertainty. [PDF]
Sci RepYu Y.
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Optimizing energy, downtime, and throughput in footwear production through machine learning. [PDF]
Sci RepSudhakar PK, Muthucumaraswamy R.
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Design of a low-cost, portable blower-based breath simulator using 3D printing for respiratory research and education. [PDF]
HardwareXTruong CT +5 more
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Structural configuration of sustainable sports industry based on deep learning and genetic algorithm. [PDF]
Sci RepLi Y, Kim K, Zhang L.
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An AHP-ME-IOWA Model for Assessing National Space Technology Scientific and Technological Strength: A Case Study of the United States. [PDF]
Entropy (Basel)Chen Y, Qi Z, Li J, Zhu Y.
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An accelerometer-based dataset for monitoring slag in steel manufacturing. [PDF]
BMC Res NotesSehri M +4 more
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