„Transfer Learning“

Suchergebnisse

3.348 Treffer

• Transfer learning based video summarization in wireless capsule endoscopy
  Raut, Vrushali ; Gunjan, Reena
• Performance analysis of static hand gesture recognition approaches using artificial neural network, support vector machine and two stream based transfer learning approach
  Patil, Anjali R. ; Subbaraman, S.
• Multi-source sintering transfer learning in small dataset sintering prediction scenario
  Zhouzhi, Wu ; Xiaomin, Zhang ; Zhipeng, Zhao ; Hengjia, Zhang ; Hongwu, Tang
• Recognition of Defective Carrots Based on Deep Learning and Transfer Learning
  Xie, Weijun ; Wei, Shuo ; Zheng, Zhaohui ; Jiang, Yu ; Yang, Deyong
• An Image‐Based Approach to Automated Recognition of Asbestos‐Containing Components in Wall Demolition Waste
  Bauer, Albert ; Kruggel-Emden, Harald
• Novel transfer learning schemes based on Siamese networks and synthetic data
  Kenneweg, Philip ; Stallmann, Dominik ; Hammer, Barbara
• Blockchain enabled IoMT and transfer learning for ocular disease classification
  Khan, Muhammad Adnan ; Hussain, Muhammad Zahid ; Khan, Muhammad Farhan ; Ahmad, Munir ; Abbas, Sagheer ; Mazhar, Tehseen ; Shahzad, Tariq ; Saeed, Mamoon M.
• Deep Transfer Learning Approach for Automatic Recognition of Drug Toxicity and Inhibition of SARS-CoV-2
  Werner, Julia ; Kronberg, Raphael M. ; Stachura, Pawel ; Ostermann, Philipp ; Müller, Lisa ; Schaal, Heiner ; Bhatia, Sanil ; Kather, Jakob N. ; Borkhardt, Arndt ; Pandyra, Aleksandra A. ; Lang, Karl Sebastian ; Lang, Philipp A. 2021 Universitätsbibliothek der RWTH Aachen
• Reducing calibration efforts of SSVEP-BCIs by shallow fine-tuning-based transfer learning
  Ding, Wenlong ; Liu, Aiping ; Chen, Xingui ; Xie, Chengjuan ; Wang, Kai ; Chen, Xun
• Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash
  Ahamed, A. J. Najath ; Yamani, S. Sakeek ; Dissanayaka, L. S. ; Sathiparan, Navaratnarajah
• Integrating machine learning and Monte Carlo Simulation for probabilistic assessment of durability in RC structures affected by carbonation-induced corrosion
  Felix, Emerson F. ; Lavinicki, Breno M. ; Bueno, Tobias L. G. T. ; Castro, Thiago C. C. de ; Cândido, Renan A.
• Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study
  Paswan, Rajesh Kumar ; Gogineni, Abhilash ; Sharma, Sanjay ; Kumar, Pramod
• A novel composite machine learning model for the prediction of compressive strength of blended concrete
  Prasad, E. V. ; Rama Krishna, S. ; Singha, S.
• Deep source transfer learning for the estimation of internal brain dynamics using scalp EEG
  Yu, Haitao ; Hu, Zhiwen ; Zhao, Quanfa ; Liu, Jing
• A comparative analysis of machine learning techniques for building cooling load prediction
  Havaeji, Saeideh ; Ghanizadeh Anganeh, Pouya ; Torbat Esfahani, Mehdi ; Rezaeihezaveh, Rezvan ; Rezaei Moghadam, Afshin
• EEG-based schizophrenia detection using fusion of effective connectivity maps and convolutional neural networks with transfer learning
  Bagherzadeh, Sara ; Shalbaf, Ahmad
• Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN
  Ma, Jun ; Yang, Banghua ; Rong, Fenqi ; Gao, Shouwei ; Wang, Wen
• Contextual determinants of the social-transfer-of-learning effect
  Milanese, Nadia ; Iani, Cristina ; Sebanz, Natalie ; Rubichi, Sandro
• Research on fish identification in tropical waters under unconstrained environment based on transfer learning
  Zhang, Shan ; Liu, Weifang ; Zhu, Yupeng ; Han, Wei ; Huang, Yi ; Li, Jianqiang
• Generalizable epileptic seizures prediction based on deep transfer learning
  Sarvi Zargar, Bahram ; Karami Mollaei, Mohammad Reza ; Ebrahimi, Farideh ; Rasekhi, Jalil