Algorithm

In recent years, machine learning has emerged as a revolutionary technology that has disrupted industries and transformed our daily lives. From personalized recommendations on streaming platforms to self-driving cars, machine learning algorithms have empowered businesses and individuals alike to make better decisions based on data. But what exactly is machine learning, and how does it work? Simply put, machine learning is a subset of artificial intelligence (AI) that allows computers to learn from data and improve their…

SIEVE, a new open-source algorithm developed by computer scientists from Emory University, Carnegie Mellon University, and the Pelikan Foundation, simplifies and improves web cache management. This algorithm effectively decides which data to evict from a cache, enhancing the system’s efficiency and reducing the miss ratio significantly compared to other algorithms.The new open-source algorithm has the potential to revolutionize large-scale web traffic management.Computer scientists have developed a highly effective, yet…

Learn how to use the Apriori algorithm for Market Basket Analysis in Python In the era of big data, businesses are constantly seeking ways to derive meaningful insights from vast amounts of information. One powerful technique that has proven instrumental in understanding consumer behavior is Market Basket Analysis (MBA). By identifying patterns and associations within customer purchase data, businesses can make informed decisions, optimize marketing strategies, and enhance the overall shopping experience. The…

This article describes how to implement a Raft Server consensus module in C++20 without using any additional libraries. The narrative is divided into three main sections: A comprehensive overview of the Raft algorithm A detailed account of the Raft Server's development A description of a custom coroutine-based network library The implementation makes use of the robust capabilities of C++20, particularly coroutines, to present an effective and modern methodology for building a critical component of distributed…

This article explores the implementation of predictive maintenance models in industrial IoT settings and their significant impact on ensuring equipment reliability. The Need for Predictive Maintenance in Industrial IoT Traditionally, industrial facilities have relied on reactive maintenance strategies, addressing equipment failures after they occur. This approach often leads to unplanned downtime, increased maintenance costs, and potential safety risks. With the integration of IoT sensors and AI capabilities, predictive…

Possible multipath routing structure. Credit: Mathematics (2023). DOI: 10.3390/math11194168 Mathematicians from RUDN University have created a new routing algorithm in the Internet of Things network. It optimally splits traffic, which improves network speed and reliability. The results were published in Mathematics. No uniform standards have yet been…

from sklearn.ensemble import IsolationForest import pandas as pd # Sample data (replace with your actual data) data = { 'feed_type': , 'volume': } # Create a DataFrame df = pd.DataFrame(data) # Extract feature names feature_names = df.columns.tolist() # Train the model model = IsolationForest(contamination=0.01) # Adjust contamination based on your dataset model.fit(df]) # Function to detect anomalies def detect_anomalies(feed_type, volume): anomaly_prediction = model.predict(]) return…

There is an infinite discussion about the topic of knowing algorithms and data structures for a frontend (in my case, mobile) developer needed only to pass technical interviews in large tech companies, or if there is some benefit of using it in daily work. I think the truth is somewhere in between, as always. Of course, you rarely find a case when you need to implement a min heap or use dynamic programming approaches while working on UI and business logic for a service with a REST API, but having a basic understanding of…

To ensure the safety of rail traffic, non-destructive testing of rails is regularly carried out using various approaches and methods. One of the main approaches to determining the operational condition of railway rails is ultrasonic non-destructive testing. The assessment of the test results depends on the defectoscopist. The need to reduce the workload on humans and improve the efficiency of the process of analyzing ultrasonic testing data makes the task of creating an automated system relevant. The purpose of this work…

Vipasha Malhotra’s digital clout is a case study. The singer-songwriter gained fame through her Instagram Reels during the pandemic, amassing a following of 175,000 on the Meta-owned platform till now. What’s unusual is that the 20-something musician has fetched three times as many subscribers on YouTube in much less time.Typically, content creators, who start on Instagram, struggle to attain a similar following when they move to YouTube. “All I did was cross-post my 15-second clips for Instagram as YouTube Shorts,” says…