EP/W012294/1 | A Multimodal COVID-19 Database for Research | (P) |
EP/P009824/1 | ASPIRE: Automated Sensing & Predictive Inference for Respiratory Exacerbation | (C) |
EP/N024966/1 | Intelligent Wearable Sensors for Predictive Patient Monitoring | (P) |
EP/N027000/1 | Fast ASsessment and Treatment in Healthcare (FAST Healthcare) | (C) |
NS/A000008/1 | Centre of Excellence in Personalised Healthcare | (P) |
EP/F058845/1 | The hospital of the future: improved patient outcomes through information-driven management | (P) |
GR/R85860/01 | GRID-BASED MEDICAL DEVICES FOR EVERYDAY HEALTH (MEDICAL IMAGES AND SIGNALS - MIAS) | (P) |
GR/R67668/01 | Distributed Aircraft Maintenance Environment: DAME | (C) |
GR/N14248/01 | FROM MEDICAL IMAGES AND SIGNALS TO CLINICAL INFORMATION | (C) |
GR/N02641/01 | NONLINEAR DYNAMICAL METHODS FOR BIOMEDICAL SIGNAL PROCESSING | (P) |
GR/M33228/01 | JREI VISUAL WIRELESS RESEARCH PROGRAMME | (C) |
GR/M05614/01 | FUNDAMENTAL ISSUES IN NOVELTY DETECTION | (P) |
GR/L59559/01 | ROPA: MULTIPLE NEURAL NETWORK MODELS FOR LOW BIT-RATE SPEECH CODING | (P) |
GR/L49581/01 | NEURAL NETWORK ANALYSIS OF BREAST CANCER PROGNOSIS | (P) |
GR/K51334/01 | NOVELTY DETECTION | (P) |
GR/J70550/01 | PULSE-STREAM VLSI FOR RADIAL BASIS FUNCTION NEURAL NETWORKS | (P) |
GR/J43394/01 | ANALYSIS OF SIGNALS FROM SENSORS IN CIVIL ENGINEERING (ITE INITIATIVE) | (C) |
GR/H86028/01 | QUANTIFICATION OF EEG & SLEEP TECHNOLOGIES - QUESTAR ANALYSIS AND REVIEW. | (P) |
GR/H41577/01 | ADAPTIVE REAL-TIME NAVIGATION USING ANALOGUE VISUAL MOTION SENSORS | (P) |
GR/H17060/01 | LEARNING STRATEGIES AND VLSI CIRCUITS FOR AUTONOMOUS LEARNING IN NEURAL NETWORKS | (C) |
GR/H16643/01 | LEARNING STRATEGIES AND VLSI CIRCUITS FOR AUTONOMOUS LEARNING IN NEURAL NETWORKS | (P) |
GR/G59844/01 | CMOS NEURAL INTEGRATED CIRCUITS WITH ELECTRONICALLY PROGRAMMABLE AMORPHOUS SILICON MEMORY DEVICES | (C) |
GR/G06404/01 | DESIGN OF PULSE-STREAM NEURAL INTEGRATED CIRCUITS WITH AMORPHOUS SILICON SYNAPSES | (C) |
GR/F02670/01 | THE DEVELOPMENT OF FULLY PROGRAMMABLE ANALOG VSLIDEVICES FOR THE ELECTRONIC IMPLEMENTATION OF NEURAL NETWORK | (C) |