Gettttt's Projects
The presentation materials for AI & DL, including DEMOs
Attack tolerance of complex networks
A CNN model to forecast patent quality
Basic indicator calculation and BA model for 2 public net datasets.
Complex-Network-Cascading-Failure
Complex-Network-Rumor-Spreading-Immunity
**Complex-Network-Search** is a Python tool designed to evaluate the average path length \(D\) in Barabasi-Albert (BA) networks using various search strategies, including random walks, maximum and minimum degree strategies, and preferential attachment.
Credit-Load-Forecast-ML
The code to display 3-D patent map based on network analysis and MDS.
This project is to exploring the interplay of emotions within Weibo network. I analyzes dataset consisting of 227,122 lines, where each line represents a connection between two users. It details the number of reposts between users and lists emotional responses—anger, disgust, happiness, and sadness—from the initiating user's tweets.
This repository contains a neural network application based on the SCUT-FBP5500 pretrained models, aims to calculate facial attractiveness from a sequence of face images. The objective is to track and visualize the fluctuations of facial attractiveness during a live broadcast, identifying patterns and potential impacts on management.
Python codes to crawl google patent
Green-Aviation-Patent-Analysis
This repository contains a Hive project to analyze Google Books n-grams dataset. This project demonstrates how to install and deploy Hive on a local Hadoop pseudo-distributed cluster, merge data files on HDFS, compute average occurrences of each bigram per year, and identify the top 20 bigrams by their average yearly occurrences.
This repository provides tools for downloading, analyzing, and visualizing the co-occurrence of objects in images and text comments, with a focus on measuring and evaluating image-text consistency.
Simulates information spread in networks using a threshold model, analyzing how social norms evolve with different memory sizes (M) and commitment thresholds (C).
Display several ways to calculate intelligibility.
This project uses Apache Kafka for data ingestion and streaming, with Java for data processing. Redis serves as the high-performance storage backend to handle processed data. The primary focus is on handling social media actions like comments, likes, and shares to calculate popularity scores.
Lasso-Regression-For-Patent-Quality
A LDAmodel-For-Patent-Abstract to extract patent subject.
I tried to reproduce the whole process of LockBit ransomware, including the front end phishing pages, ransomware, and the back end API interface, worm spread, database, and so on. At the same time, the attack version of both Windows and Linux systems is implemented, but due to the limitation of public information .
Micropython and arduino to realize OTA.
We need to detect the utilization rate of CPU, GPU and RAM, and then calculate the energy consumption of the device according to the relevant formula, which can be used for the detection of the model. This version map the type of CPU/GPU to estimate more accurate, appliable for Arm.
We need to detect the utilization rate of CPU, GPU and RAM, and then calculate the energy consumption of the device according to the relevant formula, which can be used for the detection of the model. This version map the type of CPU/GPU to estimate more accurate, appliable for x86.
Recoginize-Comprehension-CNN-Model