BOOKS - EQUIPMENT - Integrated Photonics for Data Communication Applications
Integrated Photonics for Data Communication Applications - Madeleine Glick, Ling Liao, Katharine Schmidtke 2023 PDF Elsevier BOOKS EQUIPMENT
ECO~19 kg CO²

2 TON

Views
25808

Telegram
 
Integrated Photonics for Data Communication Applications
Author: Madeleine Glick, Ling Liao, Katharine Schmidtke
Year: 2023
Pages: 523
Format: PDF
File size: 14.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Data Science From Scratch From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Python for Data Analysis: Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Web Data APIs for Knowledge Graphs Easing Access to Semantic Data for Application Developers
Practical Data Science with SAP Machine Learning Techniques for Enterprise Data, Early Release
Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter
Tuning the Snowflake Data Cloud: Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Data-Centric Security in Software Defined Networks (SDN) (Studies in Big Data, 149)
Hands-On Salesforce Data Cloud: Implementing and Managing a Real-Time Customer Data Platform
Tuning the Snowflake Data Cloud Optimizing Your Data Platform to Minimize Cost and Maximize Performance
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Data Sketches A journey of imagination, exploration, and beautiful data visualizations (AK Peters Visualization Series)
Computer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Programming Skills for Data Science Start Writing Code to Wrangle, Analyze, and Visualize Data with R
Hands-On Salesforce Data Cloud Implementing and Managing a Real-Time Customer Data Platform
Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data
Python for Data Analysis Unlocking Insights and Driving Innovation with Powerful Data Techniques. 2 in 1 Guide
Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data (Early Release)
Handbook of Research on Big Data and the IoT (Advances in Data Mining and Database Management (ADMDM))
Python for Data Analysis The Ultimate Beginner|s Guide to Data Analytics, Deep Learning
Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Hands on Azure Data Studio Microsoft|s Open Platform for Data Engineering and Analytics
Data Analytics for Pandemics A COVID-19 Case Study (Intelligent Signal Processing and Data Analysis)
Apache Iceberg The Definitive Guide Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Data Analytics for Organisational Development: Unleashing the Potential of Your Data
Automating Data Quality Monitoring: Going Deeper Than Data Observability
Sharing Big Data Safely Managing Data Security
Data Science and Big Data Analytics in Smart Environments
The Data Journalism Handbook: How Journalists Can Use Data to Improve the News
Azure Data Factory by Example: Practical Implementation for Data Engineers
Effective Data Visualization The Right Chart for the Right Data, 2nd Edition
Data Just Right Introduction to Large-Scale Data & Analytics
Data Driven Harnessing Data and AI to Reinvent Customer Engagement
Data Fusion and Data Mining for Power System Monitoring
Critical Data Literacies Rethinking Data and Everyday Life
Data Action Using Data for Public Good (The MIT Press)