SKU: 47012608639

Wilfa Humidifier MOIST

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Description

Wilfa Humidifier MOISTMoist ist ein Ultraschall Luftbefeuchter zur Verbesserung Ihres Raumklimas. Mit einer hohen Dampfkapazitt gibt er feinen Dampf ab, der leicht von der Luft aufgenommen wird und zu einem optimalen Raumklima beitrgt. Moist ist ein effizienter Luftbefeuchter, der fr die richtige Luftfeuchtigkeit sorgt und einfach ber die WiFi App oder den integrierten LED Touchscreen gesteuert werden kann. AUTOMATISCHE FEUCHTIGKEITSREGELUNG Der Luftbefeuchter verfgt ber

Moist ist ein Ultraschall-Luftbefeuchter zur Verbesserung Ihres Raumklimas. Mit einer hohen Dampfkapazität gibt er feinen Dampf ab, der leicht von der Luft aufgenommen wird und zu einem optimalen Raumklima beiträgt.

Moist ist ein effizienter Luftbefeuchter, der für die richtige Luftfeuchtigkeit sorgt und einfach über die WiFi-App oder den integrierten LED-Touchscreen gesteuert werden kann.

AUTOMATISCHE FEUCHTIGKEITSREGELUNG

Der Luftbefeuchter verfügt über einen eingebauten Sensor, mit dem er automatisch die Luftfeuchtigkeit im Raum überwacht.

SMART APP - WiLife

Der Luftbefeuchter kann mit WiFi verbunden werden und Sie können die mitgelieferte WiLife-App herunterladen. Hier können Sie die gewünschte Luftfeuchtigkeit einstellen, die Luftfeuchtigkeit im Raum überwachen usw.

EINFACHES NACHFÜLLEN VON WASSER

Der 4,3-Liter-Wassertank lässt sich ganz einfach über die Oberseite des Luftbefeuchters befüllen. Sie können entweder direkt Wasser in den Wassertank einfüllen oder den Wassertank herausnehmen und auffüllen. Der durchschnittliche Verbrauch beträgt 370 ml/h.

WIEDERVERWENDBARER KERAMIKFILTER

Der Keramikfilter enthärtet und reinigt das Wasser im Luftbefeuchter. Der Filter kann mehrmals gewaschen und wiederverwendet werden.

LED-BILDSCHIRM

Der Luftbefeuchter ist mit einer digitalen Feuchtigkeitsanzeige und einem Touchpanel ausgestattet. Hier können Sie jederzeit die Luftfeuchtigkeit im Raum ablesen und nach Belieben verschiedene Einstellungen etc. vornehmen.

PROGRAMME.

Es gibt 3 Geschwindigkeitsstufen, sowie eine Einstellung der Nebelleistung. Mit Nachtmodus.

TIMER-EINSTELLUNG

12-Stunden-Timer-Einstellung

AUTOSTOP

Bei Wassermangel schaltet sich der Luftbefeuchter automatisch ab. Er schaltet sich auch ab, wenn der Wassertank von der Basis entfernt wird.

KALT- UND HEISSDAMPF

Sie können wählen, ob Sie Kaltdampf oder Heißdampf verwenden möchten.
Manche Menschen bevorzugen Kaltdampf, andere wiederum heißen Dampf. Der Vorteil von Kaltdampf ist, dass er kein Kondenswasser bildet, da er sich nicht an kalten Oberflächen, wie z. B. Fenstern, festsetzt. Der Vorteil von heißem Dampf ist, dass er dazu beiträgt, den Raum zu erwärmen, was im Winter ein großer Vorteil ist.

Vorteile der richtigen Luftfeuchtigkeit

Die Aufrechterhaltung einer optimalen Luftfeuchtigkeit (40-60 %) kann trockene Haut, Reizungen der Atemwege und Schäden an Holzmöbeln verhindern. Der Moist Luftbefeuchter trägt zu einem angenehmeren Wohnklima bei. 

  • Ultraschall-Luftbefeuchter
  • Kapazität: 370 ml/h
  • 4,3 Liter Wassertank
  • 3 Feuchtigkeitseinstellungen
  • Automatische Feuchtigkeitsregelung
  • Geeignet für Räume bis zu 50 m2, 120 m3
  • Wählen Sie zwischen heißem oder kaltem Dampf
  • LED-Display mit digitaler Funktionsanzeige
  • Bedienfeld
  • Keramischer Filter
  • Zeitschaltuhr, 12 Stunden
  • Plasma-Funktion
  • Nachtlicht
  • Gewicht: 2,73 kg
  • Größe: 29,8 cm x 23,3 cm, 19,9 cm
Shipping Notes
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Exchange/Return Notes
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SKU: 47012608639

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4.6 ★★★★★
Based on 6 reviews
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Adam
Port Orchard, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Massapequa, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Fort Morgan, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Grantham, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Verified Purchase
Sabrina
Lexington, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026

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