Ryoichi Furushima

Predicting the success or failure of ultrasonically welded magnesium/aluminum joints by analyzing acoustic signals

Mingzhe Bian, Yutaka Maruyama, Yusuke Matsuoka, Ryoichi Furushima

jp (code pays fourni par la source)

AI‐Driven Properties Prediction in Si 3 N 4 Ceramics: Image‐Based and Processing Parameter Strategies

Ryoichi Furushima, Yuki Nakashima, Y. Zhou, Manabu Fukushima

jp (code pays fourni par la source)

Atmospheric corrosion of friction stir welded AXM410 and AZX912 magnesium alloys

Isao Nakatsugawa, Tomoko Yamashita, Takashi NISHIKAWA, Noriyuki FUKUDA et autres

jp (code pays fourni par la source)

Design Conditions of Convolutional Neural Networks for Theoretically Justified Visualization of Image Regions Contributing to Predictions

Sayumi Kaneko, Daisuke Kimura, Takahiro Kawaguchi, Ryoichi Furushima et autres

jp (code pays fourni par la source)

Prediction of the mechanical properties for WC-FeAl cemented carbides through deep learning models

Ryoichi Furushima

jp (code pays fourni par la source)

Effect of Mg2+ Ions on Galvanic Corrosion of Linear Friction Welded Magnesium AZ91 Alloy - Aluminum AA6061 Alloy

Isao Nakatsugawa, Mingzhe Bian, Ryoichi Furushima, Javad Gholipour et autres

Development of Artificial Intelligence for Predicting Multiple Properties from Microstructure Images of Silicon Nitride Ceramics

Ryoichi Furushima, Yuki Nakashima, Yutaka Maruyama, Manabu Fukushima

Mechanical property prediction of aluminium alloys with varied silicon content using deep learning

Yūichiro Murakami, Ryoichi Furushima, K. Shiga, Tatsuya Miyajima et autres

jp (code pays fourni par la source)

Microstructural basis of AI predictions for material properties: A case study of silicon nitride ceramics using t ‐SNE

Ryoichi Furushima, Yuki Nakashima, Yutaka Maruyama, You Zhou et autres

jp (code pays fourni par la source)

Dismantling of aluminum/CFRP bonded assemblies with dismantlable adhesives containing expanded graphite

Ryoichi Furushima, Naoki Omura

jp (code pays fourni par la source)

Multilayer artificial intelligence for thermal-conductivity prediction of silicon nitride ceramics from powder processing conditions and predicted densities

Ryoichi Furushima, Yuki Nakashima, You Zhou, Kiyoshi Hirao et autres

jp (code pays fourni par la source)

Effects of the amount of magnesia on mechanical, thermal, and electrical properties of silicon nitride ceramics

Yuki Nakashima, Ryoichi Furushima, You Zhou, Kiyoshi Hirao et autres

jp (code pays fourni par la source)