Water_Extracting
In this project, I design a neural network structure to achieve the
target of extracting water body from the remote sensing images. And
finally it achive a better result than other previously methods.
Target
In urban features, water bodies influence the functioning of urban
ecosystems in various ways, with their role in, for example, tourism,
flood control and urban heat island regulation constantly influencing
human life and urban economic development. There for a objective and
accurate ...
ENCS-692-winter-quize_review
Quize review
Photo Background
Gadgets to add backgrounds to your photography
machine learning
Notes about machine learning
Discrete-time Signal Processing (3)
Notes about Sampling and Reconstruction.
Discrete-time Signal Processing (2)
Notes about Z Transform
Discrete-time Signal Processing (1)
Notes about Fourier Transform
Evolutionary Algorithms
What is an Evolutionary
Algorithm?
It is a type of optimization algorithm inspired by the principles of
natural selection and genetics. It's used to solve complex problems by
evolving potential solutions over time, mimicking the process of
biological evolution.
Main EA components:
Representation: encoding of solutions
Evaluation: fitness function
Population: set of candidate solutions
Selection: method to choose parents
Survivor selection: method to choose individuals for the next
...
Softerware Test
QA,QC and Testing
Category
Quality Assurance(QA)
Quality Control(QC)
Testing
Focus
Process
Product
Product
Orientation
Prevention oriented(Preventing mistakes, defects and Failures)
Verification oriented(Detecting mistakes, defects)
Verification/validation oriented(Detecting Failures)
Breadth
Organization wide
Product/Project Specific
Product/Project Specific
Scope
Relates oto all products that will ever be created by a process
Relates to ...
Slide Window Approach
Sliding window approach is especially valuable in scenarios where you need to process or analyze data in a sequential and contiguous manner. It can lead to more efficient algorithms compared to naive approaches that process the entire dataset repeatedly.