Academic Article RDF
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- Powder mixed-EDM for potential biomedical applications: A critical review
- Power Consumption Modeling based on Real-Time Data Traffic for Balancing Power Supply and Energy Demand to Develop Green Telecommunication Tower: A Case Study
- Power Conversion Using Analytical Model of Cockcroft–Walton Voltage Multiplier Rectenna
- Power Flow Control of a Multi-bus/Three-feeder Distribution System Using Generalized Unified Power Quality Conditioner
- Power management optimization of hybrid solar photovoltaic-battery integrated with pumped-hydro-storage system for standalone electricity generation
- Power Measurement by Calorimetric Method Using Water Infrequency Range Between 1.7 Mhz To 3 Mhz
- Power System State Estimation Bad Data Detection and Identification: A Review on Issues and Alternative Formulations
- PRACTICAL PRODUCTION LAYOUT DESIGN FOR MULTI-PRODUCT AND SMALL-LOT-SIZE PRODUCTION: A CASE STUDY
- Pre-Encryption Ransomware Detection (PERD) Taxonomy, and Research Directions: Systematic Literature Review
- Pre-treatment of oil palm frond biomass via extensive high temperature drying for gasification process
- Pre-treatment of oil palm fronds biomass for gasification
- Precursor and pressure dependent 3D graphene: A study on layer formation and type of carbon material
- Predicting average energy conversion of photovoltaic system in Malaysia using a simplified method
- Predicting CO2 Permeation through an Enhanced Ionic Liquid Mixed Matrix Membrane (IL3M)
- Predicting customers churning in banking industry: A machine learning approach
- Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model
- Predicting Delinquency on Mortgage Loans: An Exhaustive Parametric Comparison of Machine Learning Techniques
- Predicting Flow Rate of V-shape Custom Tank using Derivative Free Recursive Algorithm
- Predicting machine failure using recurrent neural network-gated recurrent unit (RNN-GRU) through time series data
- Predicting methods for sulfur removal from model oils using COSMO-RS and partition coefficient
- Predicting microbial fuel cell biofilm communities and power generation from wastewaters with artificial neural network
- Predicting naphthenate precipitation and evaluating the effect of ionic liquids on its deposition
- Predicting Remaining Useful Life of Induction Motor Bearings from Motor Current Signatures Using Machine Learning
- Predicting Reservoir Petrophysical Geobodies from Seismic Data Using Enhanced Extended Elastic Impedance Inversion
- Predicting Separation of Lower Hydrocarbon from Natural Gas by a Nano‐Porous Membrane using Capillary Condensation
- Predicting the compressive strength of engineered geopolymer composites using automated machine learning
- Predicting the effects of direct-injected fuels co-powered by high-CO2 biogas on RCCI engine emissions using kinetic mechanisms and multi-objective optimization
- Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters
- Predicting the Influence of Pulverized Oil Palm Clinker as a Sustainable Modifier on Bituminous Concrete Fatigue Life: Advancing Sustainable Development Goals through Statistical and Predictive Analysis
- Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada