„Deep Learning“

Suchergebnisse

10.000+ Treffer

• Prediction and Online Optimization of Strip Shape in Hot Strip Rolling Process Using Sparrow Search Algorithm‐Online Sequential‐Deep Multilayer Extreme Learning Machine Algorithm
  Zhang, Yijie ; Ding, Jingguo ; Sun, Jie ; Zhang, Dianhua
• Highly Oxidation‐Resistant and Self‐Healable MXene‐Based Hydrogels for Wearable Strain Sensor (Adv. Funct. Mater. 24/2023)
  Chae, Ari ; Murali, G. ; Lee, Seul‐Yi ; Gwak, Jeonghwan ; Kim, Seon Joon ; Jeong, Yong Jin ; Kang, Hansol ; Park, Seongmin ; Lee, Albert S. ; Koh, Dong‐Yeun ; In, Insik ; Park, Soo‐Jin
• Back Cover: Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning (J. Biophotonics 7/2019)
• Material Evaluation: The Use of Deep Learning to Fast Evaluate Organic Photovoltaic Materials (Adv. Theory Simul. 1/2019)
  Sun, Wenbo ; Li, Meng ; Li, Yong ; Wu, Zhou ; Sun, Yuyang ; Lu, Shirong ; Xiao, Zeyun ; Zhao, Baomin ; Sun, Kuan
• Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)
  Ghosh, Kunal ; Stuke, Annika ; Todorović, Milica ; Jørgensen, Peter Bjørn ; Schmidt, Mikkel N. ; Vehtari, Aki ; Rinke, Patrick
• π Learning: A Performance‐Informed Framework for Microstructural Electrode Design (Adv. Energy Mater. 17/2023)
  Niu, Zhiqiang ; Zhao, Wanhui ; Wu, Billy ; Wang, Huizhi ; Lin, Wen‐Feng ; Pinfield, Valerie J. ; Xuan, Jin
• Fractional Dynamics Foster Deep Learning of COPD Stage Prediction (Adv. Sci. 12/2023)
  Yin, Chenzhong ; Udrescu, Mihai ; Gupta, Gaurav ; Cheng, Mingxi ; Lihu, Andrei ; Udrescu, Lucretia ; Bogdan, Paul ; Mannino, David M. ; Mihaicuta, Stefan
• Deep Learning: Deep Learning Based Recognition of Different Mode Bases in Ring‐Core Fiber (Laser Photonics Rev. 14 (11)/2020)
  Wang, Lulu ; Ruan, Zhengsen ; Wang, Hongya ; Shen, Lei ; Zhang, Lei ; Luo, Jie ; Wang, Jian
• Stimuli‐Responsive Materials: Finite‐Element‐Based Deep‐Learning Model for Deformation Behavior of Digital Materials (Adv. Theory Simul. 7/2020)
  Zhang, Zhizhou ; Gu, Grace X.
• Bioinspired Co‐Design of Tactile Sensor and Deep Learning Algorithm for Human–Robot Interaction
  Kong, Depeng ; Yang, Geng ; Pang, Gaoyang ; Ye, Zhiqiu ; Lv, Honghao ; Yu, Zhangwei ; Wang, Fei ; Wang, Xi Vincent ; Xu, Kaichen ; Yang, Huayong
• Low‐Power, Multi‐Transduction Nanosensor Array for Accurate Sensing of Flammable and Toxic Gases (Small Methods 3/2023)
  Henriquez, Dionisio V. Del Orbe ; Kang, Mingu ; Cho, Incheol ; Choi, Jungrak ; Park, Jaeho ; Gul, Osman ; Ahn, Junseong ; Lee, Dae‐Sik ; Park, Inkyu
• Cover Feature: Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning (ChemBioChem 4/2020)
  Bruns, Dominique ; Gawehn, Erik ; Kumar, Karthiga Santhana ; Schneider, Petra ; Baumgartner, Martin ; Schneider, Gisbert
• Accelerating Auxetic Metamaterial Design with Deep Learning
  Wilt, Jackson K. ; Yang, Charles ; Gu, Grace X.
• Inside Front Cover: Deep Learning in Proteomics
  Wen, Bo ; Zeng, Wen‐Feng ; Liao, Yuxing ; Shi, Zhiao ; Savage, Sara R. ; Jiang, Wen ; Zhang, Bing
• Front Cover: DeepRescore: Leveraging Deep Learning to Improve Peptide Identification in Immunopeptidomics
  Li, Kai ; Jain, Antrix ; Malovannaya, Anna ; Wen, Bo ; Zhang, Bing
• Deep‐Learning‐Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns (Adv. Mater. 24/2022)
  Jeihanipour, Azam ; Lahann, Jörg
• Artificial Skin Vision: A Bioinspired Wireless Epidermal Photoreceptor for Artificial Skin Vision (Adv. Funct. Mater. 22/2020)
  Zhang, Yujia ; Tao, Tiger H.
• Frontispiece: Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy
  Chen, Dicheng ; Wang, Zi ; Guo, Di ; Orekhov, Vladislav ; Qu, Xiaobo
• Deep Learning‐Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard‐to‐Transfect Cells (Small 20/2022)
  Mukherjee, Prithvijit ; Patino, Cesar A. ; Pathak, Nibir ; Lemaitre, Vincent ; Espinosa, Horacio D.
• Predicting Atomic Force Microscopy Topography from Optical Microscopes Using Deep Learning
  Jeong, Jaewoo ; Kim, Taeyeong ; Lee, Bong Jae ; Lee, Jungchul