Optimization of spring fatigue life prediction model for vehicle ride using hybrid multi-layer perceptron artificial neural networks

Soft computing methods for fatigue life estimation: A review of the current state and future trends

“…Kong et al, 19 Marquardt and Zenner, 27 Majidian and Saidi, 56 Karakas, 63 Gao et al, 76 Song et al, 81 Canyurt, 89 Chen et al, 91 Xu and Cui 96 and Li 129 Welded structures…”

“…Benchmarking Marquardt and Zenner, 27 Mathur et al, 29 Liao et al, 31 Artymiak et al 51 and Kim et al 133 Case study Yang et al, 1 Al Assaf and El Kadi, 12 Bezazi et al, 13 Salmalian et al, 14 Figueira Pujol and Andrade Pinto, 15 Salmalian et al, 16 Rohman et al, 18 Kong et al, 19 Han, 20 Aymerich and Serra, 21 Venkatesh and Rack, 22 Pleune and Chopra, 23 Sohn and Bae, 24 Genel, 25 Junior et al, 26 Vassilopoulos et al, 28 Cai et al, 30 Al-Assadi et al, 32 Kumar et al, 33 Ma et al, 34 Zhaohua, 35 Xu et al, 36 Barsoum et al, 37 Zhang and Lin, 38 Mohanty et al, 40 Uygur et al, 41 Xiang et al, 42 Vadood et al, 43 Mishra et al, 44 Mohanty, 45 Liu et al, 46 Martinez and Ponce, 47 Barbosa et al, 48 Lotfi and Beiss, 49 Razzaq et al, 50 Srinivasan et al, 52 Al-Assaf and El Kadi, 53 Park and Kang, 54 Vassilopoulos et al, 55 Majidian and Saidi,…”

“…Moghaddam et al, 69 Abdalla and Hawileh, 75 Gao et al, 76 Zhang et al 93 and Zou et al 127 Polynomial models Quadratic Salmalian et al, 14 Salmalian et al 16 and Canyurt 89 Qubic Canyurt 89 Exponential model Mohanty et al, 40 Mohanty, 45 Mohanty et al 58 and Chen et al 91 Conventional models Coffin-Manson Kong et al, 19 Zhang and Lin, 38 Abdalla and Hawileh, 75 Song et al 81 and Basan et al 135…”

“…Al Assaf and El Kadi, 12 Bezazi et al, 13 Rohman et al, 18 Kong et al, 19 Han, 20 Sohn and Bae, 24 Vassilopoulos et al, 28 Cai et al, 30 Kumar et al, 33 Zhaohua, 35 Vadood et al, 43 Liu et al, 46 Barbosa et al, 48 Lotfi and Beiss, 49 Razzaq et al, 50 Vassilopoulos et al, 55 Mathew et al, 57 Mohanty et al, 58 Mohanty et al, 60 Karakas, 63 Karakas and Tomasella, 66 Jin et al, 67 Abdalla and Hawileh, 75 Gao et al, 76 El Kadi and Al-Assaf, 77 Tian, 79 Song et al, 81 Ahmad et al, 82 Zhang et al 93…”

Propagation Prediction of Mobile Networks at Buraidah Region via Different Frequencies and Terrain Profile

“…The probability of proper received signal and corrupting of wireless applications are exposed to receive signal strength drop may case fluctuation during connection which are common causes in any wireless system, due to environmental factors [1] [2][3] [4]. All these applications connectivity and factors affect the network infrastructure and link performance [5]. A literature review in this chapter is conducted to report the current stage of work about the effect of propagation impairment in wireless PTP & PTMP [6] [7] [8].…”