SKU: 23795739538

ETI SYSTEMS MW22B-3-5K Rotary Potentiometer, Wirewound, 5 kohm, 700 mW, ± 5%, MW22B Series, 3 Turns, Linear

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Description

ETI SYSTEMS MW22B-3-5K Rotary Potentiometer, Wirewound, 5 kohm, 700 mW, ± 5%, MW22B Series, 3 Turns, LinearThis is a Rotary Potentiometer, Wirewound, 5 kohm, 700 mW, 5%, MW22B Series, 3 Turns, Linear product from ETI SYSTEMS with the model number MW22B 3 5KProduct details Track Resistance 5kohm Power Rating 700mW Resistance Tolerance 5% Product Range MW22B Series No. of Turns 3Turns Track Taper Linear Potentiometer Mounting Panel Shaft Diameter 6. 35mm No. of Gangs 1 Adjustment Type Screwdriver Slot Shaft Length 20. 83mm Other details Brand ETI SYSTEMS

This is a Rotary Potentiometer, Wirewound, 5 kohm, 700 mW, ± 5%, MW22B Series, 3 Turns, Linear product from ETI SYSTEMS with the model number MW22B-3-5K

Product details

Track Resistance 5kohm
Power Rating 700mW
Resistance Tolerance ± 5%
Product Range MW22B Series
No. of Turns 3Turns
Track Taper Linear
Potentiometer Mounting Panel
Shaft Diameter 6.35mm
No. of Gangs 1
Adjustment Type Screwdriver Slot
Shaft Length 20.83mm

Other details

Brand ETI SYSTEMS
Part Number MW22B-3-5K
Quantity Each
Technical Data Sheet EN
Drawing EN

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SKU: 23795739538

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Pen Name
Lowell, US
★★★★★ 5
Excellent AI security book
Format: Paperback
A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.
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Reviewed in the United States on January 10, 2026
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TheTechGuyz
Alexandria, US
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
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Steve Wilson
Houston, US
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
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Niti Sharma
Charlottesville, US
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
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Catalina J.
Lake Worth, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025

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