Powered by Engineering Brain, Japan | What is PKV?

アクセスランキング(PKV)

順位 タイトル
著者 雑誌 ページ PKVアクセス数
91 From Function to Implementation: Exploring Degeneracy in Evolved Artificial Agents
Zhimin Hu, Oğulcan Cingiler, Clifford Bohm, Larissa Albantakis Neural Computation 37 9 1677–1708 2025 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
92 Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering
Terence D. Sanger Neural Computation 37 10 1839–1852 2025 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
93 CFRPと金属材料(A5052,SUS304)の接着強度および積層構造体強度に及ぼす表面処理の効果
渡邉 傑, 山田 昇 日本機械学会論文集 91 949 25–00146 2025 2.0
平均評価: 3.0 / 5 (1 件のレビュー)
94 Toward Generalized Entropic Sparsification for Convolutional Neural Networks
Tin Barisin, Illia Horenko Neural Computation 37 9 1648–1676 2025 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
95 Fatigue crack propagation behavior and damage mechanism of Ti-Mo-Cr-V-Nb-Al alloy in the near-threshold region
Rui Hu, Wangjian Yu, Guoqiang Shang, Gang Ran, Hong Wang International Journal of Fatigue 202 None 109209–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)
96 Unitary phenomenological approach to the fatigue crack growth curve based on the analytical definition of the a-N curve
A. Fernández-Canteli, D. Díaz-Salamanca, E. Castillo, S. Blasón, M. Muñiz-Calvente International Journal of Fatigue 202 None 109207–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)
97 Optimization of Pelton turbines start-up considering fatigue damage via a fracture mechanics model
A.L. Alerci, G. Zanetti, M. Paolone, E. Vagnoni International Journal of Fatigue 202 None 109201–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)
98 In-situ investigation and analytical modeling of crack initiation and propagation in Ti–6Al–4V under low-cycle fatigue conditions on microscale
Christopher M. Wuensch International Journal of Fatigue 202 None 109148–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)
99 Synergistic effect of hybrid fillers on the fatigue behaviour of toughened bi-directional GFRP laminates
Nilanjan Bharadwaj, Ateeb Ahmad Khan, Indra Vir Singh, Bhanu Kumar Mishra International Journal of Fatigue 202 None 109208–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)
100 Controllable data augmentation and application of multiaxial fatigue experiments by fatigue conditional generative adversative network model
Wanqi Yu, Xingyue Sun, Zhen Yu, Xu Chen International Journal of Fatigue 202 None 109216–None 2026 1.98
平均評価: 0.0 / 5 (0 件のレビュー)