GitHub Repo
https://github.com/Zrhea22/BAIS330-Final-Project-
This project analyzes global cybersecurity data to assess how attack type, industry, geography, and response time influence risk and financial impact. Synthesized insights show that risk is concentrated in high-impact attack vectors and is strongly affected by industry exposure and response efficiency.
GitHub Repo
https://github.com/Utkarsh-Bajpai/Local-Outlier-Factor
This repository contains our improvements of the algorithm introduced in [1]. Following the course curriculum our efforts concentrated on restructuring, unrolling and vectorizing various elements of the computations. Furthermore we have experimented with different data structures and memory layouts.
GitHub Repo
https://github.com/tencerjo/Flow-Cytometry-Virus-Titration
Excel worksheets for calculating virus titer using data from FlowJo and ddPCR (Vector Copy Number). One worksheet is for one sample concentrated and unconcentrated. Another worksheet is given for up to 4 plates of analysis.
GitHub Repo
https://github.com/QuestYard/HuRAG
An RAG application based on vectors and knowledge graph, concentrated on interpreting laws and regulations
GitHub Repo
https://github.com/RadomskiiDA/Classical-AI---modeling-of-electrolysis
Building a neural network by modeling electrolysis. Facial recognition. Electrolysis is a process consisting in the allocation of the electrodes of the component parts of dissolved substances under the influence of electric current. That is, when a direct current flows through the solution at the cathode K(-) and at the anode A (+), substances with different charges increase. A pulsed electric current passes through the neurons. This current also has a positive and negative region. I conducted the experiment with supply of 220V DC voltage through the water at a distance of 4 cm Turned out hydrogen, oxygen and a current of 1.5 A. the Current from continuously growing. After 15 minutes it was already more than 2A. The Internet is the answer to this phenomenon. Between electrodes iron bridges or threads are formed. The same process takes place in the brain. Why are threads built, not one thread? In the volume of the aqueous electrolyte solution, the electric field strength is close to zero. Do not think that if the electrodes during electrolysis applied potential difference, such as 5 V, at a distance between the electrodes 10 cm at any point in the solution ions are under the influence of an electric field of 0.5 V/cm (and thus move under the action of this field). This would indeed be the case if there was a non-conductive gas or non-polar liquid (e.g. benzene) between the electrodes. In electrolyte solutions, the electric field intensity away from the electrodes is practically zero. This happens for the following reason. When the electrodes are immersed in an electrolyte solution, a so-called double electrical layer appears near their surface. Part of the ions of one sign is adsorbed on the electrode; these charges attract ions of the opposite sign. As a result, at the boundary between the metal and the solution, a kind of flat capacitor is formed, in which the potential jump occurs. This model of the near-electrode process was proposed in 1879 by German scientist Hermann Helmholtz. Subsequent studies have shown that the double electric layer is more complicated: the thermal motion of the ions as it blurs the outer "capacitor plate", so that part of the ions leaves this plate in the so-called diffuse part of the double layer, and the other part remains near the surface. Therefore, the double layer consists of a dense part (in honor of the German physicist it is also called the Helmholtz layer) and a blurred diffuse part, and the potential decreases from the electrode more slowly. The size of the dense part is very small and comparable to the diameter of molecules and ions (tenths of a nanometer), while the diffuse part is usually much longer. Its specific size depends mainly on the electrolyte concentration and can vary from hundreds of nanometers (micrometer fraction) in very dilute solutions to several nanometers in concentrated electrolyte solutions. But in any case, this is a negligible distance compared to the size of the vessel with the solution. As a result of the formation of a double electric layer near the electrodes, the potential difference in the electrolyte when moving from the cathode to the anode changes almost only in the immediate vicinity of the electrodes, abruptly falling to zero at a very small distance from the electrode. In the volume of the solution, the ions make only thermal (diffusion) movements. And only once in the area immediately adjacent to the electrode, the ions begin to move in a directed manner under the action of the electric potential. https://studopedia.su/12_131859_paradoksi-elektroliza.html In short, I propose to allocate the volume - vector of the matrices. Then simulate the flow of electricity, magnetism, heat, electrolysis through this area. It is necessary to achieve the creation of stable neural threads.
