Decision making by using machine learning application: for identification the things on long range by using radio wave - Alhakimou Diallo
-20% with code BOOKS
Shipping in 12-18 days
30-day return policy
The Decision making by using the machine learning application for identification the things on long range by using radio wave is computer science and system engineering thesis which demand the development of three major technology area these should be worked together : 1) Wave propagation on long range technology; 2) Microcontroller architecture and technology; 3) The development of machine learning program ... Full description
You May Also Like
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-20% with code BOOKS
In stock at our supplier
TOP
AI Engineering: Building Applications with Foundation Models
-20% with code BOOKS
In stock at our supplier
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-20% with code BOOKS
In stock at our supplier
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-20% with code BOOKS
In stock at our supplier
TOP
The Art of Game Design: A Book of Lenses
-20% with code BOOKS
In stock at our supplier
TOP
How To Think About AI: A Guide For The Perplexed
-20% with code BOOKS
In stock at our supplier
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-20% with code BOOKS
In stock at our supplier
TOP
HBR Guide to Generative AI for Managers
-20% with code BOOKS
In stock at our supplier
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-20% with code BOOKS
In stock at our supplier
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-20% with code BOOKS
In stock at our supplier
TOP
How Linux Works: What Every Superuser Should Know
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-20% with code BOOKS
In stock at our supplier
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-20% with code BOOKS
In stock at our supplier
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-20% with code BOOKS
In stock at our supplier
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-20% with code BOOKS
In stock at our supplier
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-20% with code BOOKS
In stock at our supplier
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-20% with code BOOKS
In stock at our supplier
Description
The Decision making by using the machine learning application for identification the things on long range by using radio wave is computer science and system engineering thesis which demand the development of three major technology area these should be worked together : 1) Wave propagation on long range technology; 2) Microcontroller architecture and technology; 3) The development of machine learning program to make decision quickly .Are open field but it is started by me through this thesis and I invite other researchers to continue on this thesis.The particularity of this thesis is to combine these three majors and develop each it. I design the hardware which helps us to orient the waves on some direction or desirable direction and make other design for future microcontroller and how connect the machine learning algorithm, artificial intelligence to microcontroller to make the decision quickly by using the algorithms and programming in practice case.I show in this thesis how it is possible in near future to travel from earth to other planet as Mars to make good live and communicate in real time between us and them.
More Information
| Author | Alhakimou Diallo |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2022 |
| Cover type | Softcover |
| EAN | 9786205509470 |