This immersive exhibition in The Hague brings together creations by Dutch designers like Sigrid Calon, Marcel Wanders, Studio Mieke Meijer and Studio Job.

都市酵母從2006年由水越設計發起，結合台灣的設計師，以創意發想，推廣有趣的公共空間生活概念，目的是讓大家愛上居住地。

Joonie's Ig story

day one of begging joon to bring back his choppy bangs

I got a little carried away making a winder for my new earphones.

Located in the stylish Bayview Village, in the heart of North York, Village Loft offers a modern and flexible backdrop for all styles of events.

Joons favorite material

Une recette de Lucien & Marcel KEFF – voir le reportage Pavé...

aesthetic: luz e sombras, light and shadows, keff, book aes

fair trade cookbook concept, illustrations and recipes for Eerlijk Eten, a cookbook by Fair Trade Max Havelaar, Wereldwinkel, Fairtrade Originals, Keff...

Buch:,,Bis die liebe uns findet“ Teil 2 von Keff Vidala #BookQuotes #AestheticBooks #BookstagramIdeas #BookPhotography #CozyReads #ReadingNook #BibliophileLife #LiteraryAesthetic #BookishInspiration #BooksAndCoffee #VintageBooks

밤을 걷는 선비 (Scholar Who Walks The Night)Original Sound Track Official MVTitle : Hidden Heart작곡 오준성 / 편곡 오준성, 김성은(Composed by Oh Joonsung / Arranged by Oh Joons...

With the rapid development of computer technology, artificial intelligence and big data technology have undergone a qualitative leap, permeating into various industries. In order to fully harness the role of artificial intelligence in the field of nuclear engineering, we propose to use the LSTM algorithm in deep learning to model the BEAVRS (Benchmark for Evaluation And Validation of Reactor Simulations) core first cycle loading. The BEAVRS core is simulated by DRAGON and DONJON, the training set and the test set are arranged in a sequential fashion according to the evolution of time, and the LSTM model is constructed by changing a number of hyperparameters. In addition to this, the training set and the test set are retained in a chronological order that is different from one another throughout the whole process. Additionally, there is a significant pattern that is followed when subsetting both the training set and the test set. This pattern applies to both sets. The steps in this design are very carefully arranged. The findings of the experiments suggest that the model can be altered by making use of the appropriate hyperparameters in such a way as to bring the maximum error of the effective multiplication factor keff prediction of the core within 2.5 pcm (10–5), and the average error within 0.5266 pcm, which validated the successful application of machine learning to transport equations.