Dreaming

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 ...

Gadgets to add backgrounds to your photography

Notes about machine learning

Notes about Sampling and Reconstruction.

Notes about Z Transform

Notes about Fourier Transform

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 ...

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 ...

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.

Norm \[\|\mathbf{x}\|_{p}=\left(\sum_{i=1}^{N}\left|x_{i}\right|^{p}\right)^{\frac{1}{p}}\] One-norm : \[\|x\|_{1}=\sum_{i=1}^{N}\left|x_{i}\right|\] Euclidean norm(L2-norm) : \[\|x\|_{2}=\left(\sum_{i=1}^{N} x_{i}^{2}\right)^{\frac{1}{2}}\] Maximum norm: \[\|x\|_{∞}=\max _{i}\left|x_{i}\right|\] Spatial Descriptions Rotation matrix \[ ^A_BR = \left[ ^AX_B, ^AY_B, ^AZ_B \right] = \begin{bmatrix} X_B \cdot X_A & Y_B \cdot X_A & Z_B \cdot X_A \\ X_B \cdot Y_A & Y_B \ ...