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A new mandarin phonetic Morse code recognition method using a variant LMS algorithm
TLDR
Adaptive Mandarin phonetic Morse code recognition method based on space recognition, tone recognition, adaptive processing, and character recognition. Expand
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Extract‐SAGE: An integrated platform for crossanalysis and GAbased selection of SAGE data
TLDR
We implement set theory for cross‐analyzing gene expression data among different SAGE libraries of tissue sources; up‐ or down‐regulated tissue‐specific tags can be identified computationally. Expand
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Internet Access for Disabled Persons Using Morse Code
TLDR
We have designed and implemented an easy-to-operate input interface to assist disabled participants in sharing the resources of the Internet, with Morse code as the adaptive communication tool. Expand
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Identifying Risk Stratification Associated With a Cancer for Overall Survival by Deep Learning-Based CoxPH
TLDR
We introduced DeepCoxPH, a risk score estimation strategy based on deep learning (DL) and CoxPH, to improve the risk stratification for overall survival analysis by considering comprehensive risk effects among multiple clinicopathological factors. Expand
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Hybrid feature selection method using gene expression data
TLDR
This paper presents hybrid feature selection method - Taguchi-Genetic algorithm to find optimal feature subset, to appraise feature set using K-nearest neighbor with leave-one-out cross-validation based on Euclidean distance calculation. Expand
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Dynamic Programming for Single Nucleotide Polymorphism ID Identification in Systematic Association Studies
Single nucleotide polymorphisms (SNPs) play an important role in personalized medicine. However, the SNP data reported in many association studies provide only the SNP nucleotide/amino acid position,Expand
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Forecasting the Demand for Container Throughput Using a Mixed-Precision Neural Architecture Based on CNN–LSTM
TLDR
We proposed a mixed-precision neural architecture to forecasting the demand for container throughput using long short-term memory to identify the crucial internal representation of time series depending on the strength of features. Expand
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Deep Learning for Intradialytic Hypotension Prediction in Hemodialysis Patients
Intradialytic hypotension is a common problem during hemodialysis treatment. Despite several clinical variables have been authenticated for associations during dialysis session, the interactionExpand
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Fuzzy Logic System Application for Detecting SNP-SNP Interaction
TLDR
The identification of interactions between single-nucleotide polymorphisms (SNP–SNP interactions) is crucial for determining human genetic disease susceptibility. Expand
Immersive Virtual Reality-Based Cardiopulmonary Resuscitation Interactive Learning Support System
TLDR
We introduced VR-CPR into CPR learning (intervention), assessed the outcome of the intervention, and asked participants to complete a post-test questionnaire to obtain pre-test learning outcomes. Expand
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