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A REFERENCE ARCHITECTURE FOR NETWORK FUNCTION VIRTUALIZATION
META-LEARNING AND ENSEMBLE METHODS FOR DEEP NEURAL NETWORKS
DEVELOPMENT OF POINT-OF-CARE ASSAYS FOR DISEASE DIAGNOSTIC AND TREATMENT MONITORING FOR RESOURCE CONSTRAINED SETTINGS
CEREBROSPINAL FLUID SHUNT SYSTEM WITH AUTO-FLOW REGULATION
COMPARISON OF PRE-TRAINED CONVOLUTIONAL NEURAL NETWORK PERFORMANCE ON GLIOMA CLASSIFICATION
SMARTPHONE BASED SICKLE CELL DISEASE DETECTION AND ITS TREATMENT MONITORING FOR POINT-OF-CARE SETTINGS
TOWARDS A SECURITY REFERENCE ARCHITECTURE FOR NETWORK FUNCTION VIRTUALIZATION
MACHINE LEARNING DEMODULATOR ARCHITECTURES FOR POWER-LIMITED COMMUNICATIONS
MULTIFACETED EMBEDDING LEARNING FOR NETWORKED DATA AND SYSTEMS
NEURALSYNTH - A NEURAL NETWORK TO FPGA COMPILATION FRAMEWORK FOR RUNTIME EVALUATION
HPCC based Platform for COPD Readmission Risk Analysis with implementation of Dimensionality reduction and balancing techniques
SPATIAL NETWORK BIG DATA APPROACHES TO EMERGENCY MANAGEMENT INFORMATION SYSTEMS
ASSESSING METHODS AND TOOLS TO IMPROVE REPORTING, INCREASE TRANSPARENCY, AND REDUCE FAILURES IN MACHINE LEARNING APPLICATIONS IN HEALTHCARE
CONNECTED MULTI-DOMAIN AUTONOMY AND ARTIFICIAL INTELLIGENCE: AUTONOMOUS LOCALIZATION, NETWORKING, AND DATA CONFORMITY EVALUATION
NETWORK FEATURE ENGINEERING AND DATA SCIENCE ANALYTICS FOR CYBER THREAT INTELLIGENCE
PREDICTING MELANOMA RISK FROM ELECTRONIC HEALTH RECORDS WITH MACHINE LEARNING TECHNIQUES
INVESTIGATING MACHINE LEARNING ALGORITHMS WITH IMBALANCED BIG DATA
Models and Implementations of Online Laboratories; A Definition of a Standard Architecture to Integrate Distributed Remote Experiments
MODELING AND SECURITY IN CLOUD AND RELATED ECOSYSTEMS
THE EFFECT OF LANE CHANGE VOLATILITY ON REAL TIME ACCIDENT PREDICTION

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