Master Thesis Grid Computing Projects

         Master Thesis Grid Computing Projects provides pioneering and artistic experimentation combat zone for youthful researchers and students to enrich their scholastic research career. Whenever you need our inspired and groundbreaking research ideas, you can immediately come near to us with your complete requirements. We are always ready to provide our guidance to upgrade your profession in your future.  Our 150+ world class scientists are only working for you to support your future career enhancement.

Cardinal Research Topics Grid Computing Projects:

• Wiener Filtering for Real-Time DSP Compensation of Current Transformers over a Wide Frequency Range
• Analytical Expression for the Time-Domain Green’s Function of a Discrete Plane Wave Propagating in a 3-D FDTD Grid [Master Thesis Grid Computing Projects]
• Compositional transient stability analysis of power systems via the computation of reachable sets
• A deep learning enabled subspace spectral ensemble clustering approach for web anomaly detection
• High-Voltage Solution in Radial Power Networks: Existence, Properties, and Equivalent Algorithms
• Energy efficient hybrid-powered communication systems using joint adaptive power allocation and energy exchange
• Applying parallel programming and high performance computing to speed up data mining processing
• An Algorithm of an X-ray Hit Allocation to a Single Pixel in a Cluster and Its Test-Circuit Implementation
• General-Purpose Computation Method of a Power Converter for Frequency Characteristics – Application to Stability Analysis of a Grid Inverter
• Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets
• Research on building an innovative electric power marketing business application system based on cloud computing and micro services architecture technologies
• Numerical Analysis of a Transmission Line Illuminated by a Random Plane-Wave Field Using Stochastic Reduced Order Models [Master Thesis Grid Computing Projects]
• Operating Expense Optimization for EVs in Multiple Depots and Charge Stations Environment Using Evolutionary Heuristic Method
• Study of power grid development diagnosis system based on multi-source data analysis
• A double-stage hierarchical hybrid PSO-ANN model for short-term wind power prediction