Conference Paper RDF
pages:- 81
- 82
- 83
- 84
- 85
- 86
- 87
- 88
- 89
- 90
- 91
- 92
- 93
- 94
- 95
- 96
- 97
- 98
- 99
- 100
- 101
- 102
- 103
- 104
- 105
- 106
- 107
- 108
- 109
- 110
- 111
- 112
- 113
- 114
- 115
- 116
- 117
- 118
- 119
- 120
- 121
- Power LinesVegetation enchroachment monitoring based on Satellite Stereo images using stereo matching
- Power Quality Improvement Using UPQC for Grid Interconnected Renewable Energy Sources
- Power system harmonics estimation using LMS, LMF and LMS/LMF
- Power system harmonics estimation using sliding window based LMS
- Power System Robustness Mitigation at Petrochemical Cogen Plant Using Phasor Measurement Unit
- Power system stabiliser for single machine in infinite bus based on optimal control methods
- Power-Constrained SOC Test Schedules through Utilization of Functional Buses
- Powering LED from Wi-Fi: A qualitative assessment for rectenna design
- Practicable Unified Security, Trust and Privacy (STP) Framework for Federated Access Management (FAM)
- Practical Implications and Challenges of Multispectral Image Analysis
- Pragmatic Ontology Design Pattern for Contextual Integration
- Pre-hospital emergency notification system
- Preconditioned Jacobi-type iterative methods for solving Fredholm integral equations of the second kind
- Predicting dengue cases by aggregation of climate variable using manifold learning
- Predicting dengue incidences using cluster based regression on climate data
- Predicting Employee Performance using Machine Learning to Enhance Workforce Efficiency
- Predicting forest fire spots using nonparametric predictive inference with parametric copula: Malaysia case study
- Predicting localized dengue incidences using ensemble system identification
- Predicting N-Value from Shear Wave Velocity: Nonlinear Curve Fitting Analysis
- Predicting Network Congestion with Machine Learning
- PREDICTING STOCHASTIC LIGHTNING MECHANICAL DAMAGE EFFECTS ON CARBON FIBER REINFORCED POLYMER MATRIX COMPOSITES
- Predicting student’s performance using machine learning methods: A systematic literature review
- Predicting the Hydrogen Storage Potential of Ionic Liquids Using the Data Analytics Techniques
- Predicting Wax Formation Using Artificial Neural Network
- Prediction of activity coefficient of sulfones at infinite dilution in ionic liquids and their modeling using COSMO-RS
- Prediction of biomass conversion process for oil palm fronds in a downdraft gasifier
- Prediction of Bottom-Hole Flowing Pressure using general regression neural network
- Prediction of calorific value of syngas produced from oil-palm fronds gasification
- Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques
- Prediction of hidden knowledge from Clinical Database using data mining techniques