Mohamed A. Shahin

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Over the last few years or so, the use of artificial neural networks (ANNs) has increased in many areas of engineering. In particular, ANNs have been applied to many geotechnical engineering problems and have demonstrated some degree of success. A review of the literature reveals that ANNs have been used successfully in pile capacity prediction, modelling(More)
Over the last few years, artificial neural networks (ANNs) have been used successfully for modeling almost all aspects of geotechnical engineering problems. Whilst ANNs provide a great deal of promise, they suffer from a number of shortcomings such as knowledge extraction, extrapolation and uncertainty. This paper presents a state-of-the-art examination of(More)
The problem of estimating the settlement of shallow foundations on granular soils is very complex and not yet entirely understood. The geotechnical literature has included many formulae that are based on several theoretical or experimental methods to obtain an accurate, or near-accurate, prediction of such settlement. However, these methods fail to achieve(More)
Background. Laparoscopic hernia repair in infancy and childhood is still debatable. The objective of this study is to compare laparoscopic assisted hernia repair versus open herniotomy as regards operative time, hospital stay, postoperative hydrocele formation, recurrence rate, iatrogenic ascent of the testis, testicular atrophy, and cosmetic results.(More)
PURPOSE Our primary goal was to assess the effects of varying stimulus parameters on the electrically evoked cortical potentials (EECPs) in rabbits, which we intend to use as one measure of biocompatibility of implanted retinal prosthetic devices. We also sought to exclude contamination of waveforms recorded over the occipital cortex from electrical(More)
To illustrate the effect of posterior capsular opacification (PCO) on retinal nerve fiber layer (RNFL) retardation measurements obtained during scanning laser polarimetry (SLP). SLP was performed using GDx VCC on three eyes of three non-glaucomatous patients with clinically significant PCO, before and after Nd:YAG capsulotomy. PCO removal by Nd:YAG(More)
In recent years, artificial neural networks (ANNs) have emerged as one of the potentially most successful modelling approaches in engineering. In particular, ANNs have been applied to many areas of geotechnical engineering and have demonstrated considerable success. The objective of this paper is to highlight the use of ANNs in foundation engineering. The(More)
AIMS Aggressive fibromatosis is a locally aggressive infiltrative low-grade tumour, although pathologically benign, and it does not metastasise, yet it can cause serious local distressing symptoms by virtue of local destruction and impairment of local function. The aim of this study was to emphasise the role of radiotherapy and adequate surgery in the(More)
Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to provide a high level of competency in solving many complex engineering problems that are beyond the computational capability of classical mathematics and traditional procedures. In particular, ANNs have been applied successfully to almost all aspects of geotechnical(More)
In newly hatched male and female chickens thyrotropin (TSH) and gonadotropins (FSH, LH) were found to increase the number of spermatogonia or Sertoli cells in the seminiferous cord, and the number of granulosa cells in the ovarian follicle. The effect of gonadotropins was more pronounced than that of TSH. Regarding the overlapping effect of thyrotropin and(More)