$WiMi Hologram Cloud(WIMI.US)$
The cryptocurrency payment system model based on the Polygon blockchain after realizing the huge potential of blockchain technology. The Polygon distributed ledger network has the advantage of being fast, improving the performance of the blockchain.
The model, by combining the security of the Bitcoin blockchain with the efficiency of the Polygon distributed ledger network, provides users with a fast, secure and low-cost alternative, making it an ideal choice for...

$WiMi Hologram Cloud(WIMI.US)$
Cryptocurrency prices vary across time, and it is difficult for a single model to fully capture these. A multi-scale analysis approach, matching different machine learning algorithms with corresponding multi-scale components to construct a more comprehensive cryptocurrency price prediction model.
The model begins with detailed data preparation and pre-processing of raw cryptocurrency price data. This includes steps such as processing of missing data, detection an...

$WiMi Hologram Cloud(WIMI.US)$
As IoT applications continue to expand, traditional security models may not be able to meet the challenges of future digitalization needs.  
First, it is necessary to ensure that the communication between nodes is secure against threats such as attacks. Secondly, it is necessary to address the risk of privacy leakage that a large amount of user data may suffer when it is transmitted in the network. Most importantly, to realize all of this in an IoT architecture,...

$WiMi Hologram Cloud(WIMI.US)$
An improved HBFT blockchain consensus algorithm for blockchains with multiple independent functions, namely "MHConsensus algorithm", aims to achieve more efficient data management and election strategies, and to provide a reliable distributed consistency algorithm to cope with Byzantine faults that may occur in distributed systems.
The Byzantine fault is a non-negligible problem in distributed systems. It involves anomalies in the behavior of nodes, including se...

According to the news, Google recently announced a series of AI-related model updates and products at Google’s Cloud Next 2024, including Gemini 1.5 Pro, which provides native audio (speech) understanding for the first time, CodeGemma, a new model for code generation, the first home-grown Arm processor Axion, and more.
$Alphabet-C(GOOG.US)$ Updates a Big Wave of Big Model Products
Gemini 1.5 Pro, Google’s most powerful ge...

$WiMi Hologram Cloud(WIMI.US)$
The K-Means algorithm is an unsupervised learning clustering algorithm that effectively identifies anomalous users by grouping them by the similarity of their features. Some users show significantly different patterns of transaction behavior than others, making the use of the K-Means clustering algorithm ideal for solving this problem.
Unlike traditional supervised learning methods, the K-Means algorithm for identifying fraudulent users on the Bitcoin trading ...

$WiMi Hologram Cloud(WIMI.US)$
The weighted PBFT algorithm is designed to increase throughput, reduce latency and enhance fault-tolerant performance, and the consensus algorithm is targeted to be improved according to the specific use scenarios of the blockchain.
The weighted PBFT algorithm is an improved algorithm based on the practical byzantine fault tolerance (PBFT) algorithm, which is made more flexible and efficient by introducing weights. In the weighted PBFT algorithm, each node is gi...

$WiMi Hologram Cloud(WIMI.US)$
The multi-view representation learning algorithm can provide an effective solution to the data stream clustering problem. The multi-view representation learning algorithm is a method of learning and fusing data from multiple views to obtain a more comprehensive representation.
In data stream clustering, multiple views can be used to represent different aspects of the data stream, such as time series view, spatial view, etc., and each view can provide different i...

$WiMi Hologram Cloud(WIMI.US)$
A group intelligence algorithm is a computational method based on the behavior of groups in nature, which can demonstrate powerful search and optimization capabilities in solving complex problems by simulating the interactions and collaborations of individuals in a group.
Cloud task scheduling using group intelligence algorithms can meet users' needs, improve the response speed of the system, reduce the cost, and improve resource utilization.
The group intelligen...