Knowledge Hut

DECEMBER 21, 2023

IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. Some of the popular smart city projects include smart transportation, smart energy, and smart waste management. If you want to know more about IoT, check out online IoT training.

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Coding Transportation Medical Retail 98

Knowledge Hut

MAY 31, 2023

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Healthcare Deep Learning Transportation 96

Cloudera

DECEMBER 1, 2023

million), the Louisiana Department of Motor Vehicles (6 million), and Oregon’s Department of Transportation (3.5 Governments should establish clear guidelines and regulations surrounding the use of AI, ensuring that algorithms are fair, unbiased, and respectful of privacy rights. million), among others.

Building 109

Building Government Transportation Data Governance 109

The Modern Data Company

JULY 24, 2023

Fraud Detection : Chaining data products involving transactional data, machine learning models, and anomaly detection algorithms can empower organizations to combat fraud effectively. By integrating data from various supply chain touchpoints, organizations can gain visibility into inventory levels, transportation routes, and demand forecasts.

Data Lake 85

Data Lake Transportation Algorithm Data 85

Data Engineering Podcast

AUGUST 19, 2018

Graph databases and graph algorithms have been part of the computing landscape for decades. Graph databases and graph algorithms have been part of the computing landscape for decades. Interview Introduction How did you get involved in the area of data management? What is DGraph and what motivated you to build it?

Database 100

Database PostgreSQL NoSQL Transportation 100

RandomTrees

JULY 31, 2024

In a world that is changing fast, where technology is now the order of the day, transportation as an industry is undergoing a radical change. Understanding V2X Communication: Intelligent transport systems depend on V2X communication as the basis that enables interaction between cars and their environment. Applications of AI in V2X: 1.

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Transportation Entertainment Algorithm Manufacturing 52

RandomTrees

SEPTEMBER 10, 2024

Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy. AI algorithms analyze massive sensor-collected data from machines containing temperature, vibration, and pressure, among other operational parameters.

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Transportation Manufacturing Machine Learning Algorithm 59

RandomTrees

APRIL 29, 2024

Advanced AI algorithms combined with big data analytics have revolutionized the way researchers model complex scenarios and optimize vehicle performance. By using machine learning algorithms, automotive engineers can analyze massive datasets generated from vehicle sensors, test fleets, and simulated environments.

Transportation 52

Transportation Manufacturing Algorithm Machine Learning 52

Knowledge Hut

MAY 3, 2024

These data sets are designed with Power BI algorithm and delivered in a readable and easily understandable format. Heathrow Heathrow Airport, a UK based travel, and transportation industry uses Power BI to make the travel of the passengers less stressful. With Power BI installed, CMU identified 30% less energy consumption.

BI 98

BI Media Transportation MySQL 98

Edureka

JUNE 12, 2024

Nevertheless, it offers unimaginable opportunities for increased innovation and more secure and smart transportation. AI not only become a convenience, but it also assists in ensuring safe and efficient transportation of people. Smart Cities – AI contributes to smarter cars and transportation in smart cities.

Transportation 52

Transportation Manufacturing Algorithm Designing 52

Confluent

JUNE 13, 2019

The existing standard alert distribution system, called the Virtual Observatory Event Transport Protocol, acts more as a broadcast system, transmitting alerts only if a user is connected. Downstream filtering algorithms classify and separate different types of objects. supernova, variable stars, near-Earth objects).

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Kafka Bytes Python Data Pipeline 102

Knowledge Hut

OCTOBER 26, 2023

The project will focus on creating a user-friendly interface as a web / Desktop application and incorporating robust algorithms to assess password strength accurately. It will leverage a comprehensive database of known vulnerabilities and employ intelligent matching algorithms to identify and prioritize the vulnerabilities found.

Coding 98

Coding Project Algorithm Utilities 98

RandomTrees

MAY 23, 2024

Optimizing Transportation and Distribution Streamlining Networks It improves logistics in oil and gas through using Generative AI tools that identify optimal transportation networks. Advanced AI algorithms analyze emissions data alongside operational parameters to identify opportunities for reductions.

Transportation 52

Transportation Algorithm Machine Learning Data 52

Knowledge Hut

MAY 1, 2024

They have a wide range of knowledge as they need to marry a plethora of methods, processes and algorithms with computer science, statistics and mathematics to process the data in a format that answers the critical business questions meaningfully and with actionable insights for the organization.

Data Science 94

Data Science Raw Data Manufacturing Retail 94

Knowledge Hut

FEBRUARY 13, 2024

For example, quantum computers could be used to crack highly secure encryption algorithms. However, they aren't as secure as other cryptocurrencies like Bitcoin because they use an algorithm called "proof of work" instead of the more secure proof of stake. Therefore, users must store their NFTs in a secure digital wallet.

Healthcare 98

Healthcare Cloud Computing Transportation Manufacturing 98

Striim

JULY 10, 2024

Predictive analytics in logistics involves utilizing statistical algorithms and machine learning techniques to analyze historical data. Predictive models are developed using various techniques, including regression analysis, time series analysis, and machine learning algorithms such as decision trees, neural networks, and clustering.

Management 52

Management Transportation Machine Learning High Quality Data 52

Knowledge Hut

MARCH 18, 2024

Data Structures and Algorithms (DSA) serve as the backbone of efficient and optimized code. As we navigate the vast terrain of computer programming, Graphs Data Structure and Algorithm become our strategic allies. As we navigate the vast terrain of computer programming, Graphs Data Structure and Algorithm become our strategic allies.

Transportation 52

Transportation Algorithm Software Engineer Software Engineering 52

Cloudera

SEPTEMBER 27, 2023

Platform security for data in transit The platform uses transport layer security (TLS) and secure socket layer (SSL) protocols to establish a secure communication channel between different components of the platform for better privacy and data integrity.

Transportation 87

Transportation Healthcare Data Cloud 87

Lyft Engineering

JANUARY 23, 2023

By Sara Smoot , Alex Contryman and Yanqiao Wang Lyft hosts a dynamic marketplace connecting millions of people to a robust transportation network. We have employed multi-arm bandits (MAB) algorithms, a common machine learning method for decision making using long-term rewards, to improve our real-time decision making capability.

Algorithm 59

Algorithm Transportation Machine Learning Utilities 59

Picnic Engineering

MARCH 14, 2023

Most of the automation consists of conveyor belts, lifts and shuttles that transport stock from place to place in the warehouse. It cannot not, however, orchestrate the transport of crates over large distances. For this purpose, a transport layer exists on top of the control layer. The warehouse consists of four layers.

Python 59

Python Transportation Systems Algorithm 59

AltexSoft

OCTOBER 13, 2022

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. Discriminative algorithms care about the relations between x and y, generative models care about how you get x.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

Workfall

APRIL 18, 2023

Expo: By using Apollo to develop their React Native app, the Expo engineers were able to focus on refining their product rather than writing data-fetching algorithms. We begin by declaring links to the two transport layers which are HTTP and WebSockets. KLM: Discover how the KLM team used GraphQL and Apollo to scale their Angular app.

Transportation 66

Transportation BI Java Coding 66

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Nearly all of the Google advertisements you see and display banners on different websites use data science and algorithms. To remove meaningful data from enormous amounts of data, processing of data is necessary.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Netflix Tech

DECEMBER 17, 2019

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. Figures 2a and 2b are illustrating the chunk selection algorithm. The watermark algorithm for chunk selection (steps 1–4). The watermark algorithm for chunk selection (steps 5–7). Figure 2a?—?The

MySQL 88

MySQL PostgreSQL Database Transportation 88

Netflix Tech

DECEMBER 17, 2019

The database is sending them to a transport that DBLog can consume. We use the term ‘ change log’ for that transport. Figures 2a and 2b are illustrating the chunk selection algorithm. The watermark algorithm for chunk selection (steps 1 to 4). The watermark algorithm for chunk selection (steps 5–7). Figure 2a?—?The

MySQL 82

MySQL PostgreSQL Database Transportation 82

Lyft Engineering

APRIL 3, 2023

This is to reduce cognitive overload for users, and have them focus on modes that would best represent their transportation needs. Rich information has been considered in building these models, including temporal features like location and time info, supply / demand signals, ride histories and user preferences.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

LinkedIn Engineering

SEPTEMBER 7, 2023

Espresso utilizes the open-source framework Netty for the transport layer, which has been heavily customized for Espresso’s needs. Need for new transport layer architecture In the communication between the router and storage layer, our earlier approach involved utilizing HTTP/1.1,

Bytes 88

Bytes Transportation Utilities Java 88

RandomTrees

MARCH 12, 2024

Personalized Assistance: Generative AI algorithms analyze individual driving habits, preferences, and health data to provide personalized assistance. Customized In-Car Environments: Generative AI algorithms analyze driver behavior and preferences to create customized in-car environments.

Transportation 52

Transportation Algorithm Utilities Technology 52

Rock the JVM

JULY 26, 2023

There are a variety of industry-standard algorithms that are used to generate OTP tokens such as SHA256, however, they require two inputs, a static value known as a secret key and a moving factor which changes each time an OTP value is generated. We also specify the algorithm as SHA256 for both otp implementations. Builder ( secret ).

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Scala Java Bytes Algorithm 92

AltexSoft

MAY 27, 2021

As far as transportation, these can be maintenance and driver logs. Machine learning is a field of knowledge that focuses on creating algorithms and training models on data so that they can process new data inputs and make decisions by themselves. Proof of delivery in transportation and logistics.

Technology 64

Technology Process Insurance Medical 64

Edureka

MARCH 26, 2025

Algorithmic Trading: Predicting stock trends using historical data for automated trading strategies. Transportation and Logistics: Autonomous Vehicles: Neural networks enable self-driving cars to recognize objects, predict motion, and make decisions. Quality Control: Automated defect detection in production lines using CNNs.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

Striim

JULY 16, 2024

According to the Bureau of Transportation Statistics, the primary cause of flight delays is the late arrival of the previous aircraft. For instance, AI algorithms can predict flight delays, optimize crew assignments, or personalize customer services based on current data. Why Use AI + Real-Time Data for Seamless Customer Experiences?

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Pipeline-centric Algorithm Transportation Utilities 52

Knowledge Hut

NOVEMBER 20, 2023

AI has the potential to completely transform the way things are transported from producer to consumer, from demand forecasting and inventory management to route optimization and last-mile delivery. These discoveries can be utilized to maximize interior space in trailers, cutting down on the amount of "air" transported.

Transportation 52

Transportation Manufacturing Utilities Machine Learning 52

Knowledge Hut

APRIL 23, 2024

Retailers may improve inventory management, logistics, savings, and supply chain efficiency by analyzing data from suppliers, distribution centers, transportation routes, and client demand. This can also lower transportation costs, speed up delivery times, and increase overall efficiency.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

APRIL 17, 2015

A recent CivSource news article highlighted the creation of a big data transit team in Toronto routing path - for big data analytics in transportation sector. As a solution to this problem, Toronto created a big data transit team for analysis of big data in the transportation services department.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

JANUARY 18, 2024

In addition, top Data Science companies use complex algorithms and machine learning to solve problems or market their product better to consumers. The transportation industry uses Data Science to optimize routes to reduce fuel wastage. The retail industry uses Data Science to enhance user experience.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Striim

MAY 16, 2024

The architecture utilizes low-latency messaging systems like Apache Kafka or MQTT for efficient data transportation and employs parallel processing techniques to manage high data volumes effectively. GenAI Algorithms Integration: Striim integrates a comprehensive suite of advanced GenAI algorithms directly into its streaming data pipeline.

Algorithm 52

Algorithm Media Transportation Machine Learning 52