Joshi’s Split Tree for Option Pricing by Leduc, Guillaume

“…Here we introduce a “flexible” version of Joshi’s tree, and develop the corresponding convergence theory in the European case: we find a closed form formula for the coefficients of 1/n and 1/n³/² in the expansion of the error. Then we define several optimized versions of the tree, and find closed form formulae for the parameters of these optimal variants. …”
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Enhancement of Mobile Robot Navigation and Localization by Renawi, Abdulrahman M.

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Adaptive admission/congestion control policies for CDMA-based wireless internet by Baroudi, Uthman

“…In our study, we interrelate the physical limitations of the base stations (i.e. the number of transmission and reception modems), call and burst level traffic, instantaneous buffer conditions and end-to-end bit error performance in one queuing problem. Subsequently, a windowmeasurement estimator is implemented to estimate the likelihood of buffer congestion at the base station. …”
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Tensile strength evaluation of glass/jute fibers reinforced composites: An experimental and numerical approach by Muhammad Yasir Khalid (17052429)

“…For validation of the experimental tensile testing results, a numerical simulation was also executed. Errors between experimental and numerical simulations were found for different stacking sequences due to non-uniformity in jute fiber diameter and the manufacturing process adopted for these hybrid composites. …”

Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models by Mahmoud A. Soliman (17346778)

“…A new objective function that depends on the current error is proposed in this study, which the AV–GWO minimizes to precisely estimate the optimal nine parameters of such TDM. …”

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

“…However, this manual test procedure generates many false-positive outcomes due to individual errors. Various researchers have extensively investigated machine learning (ML) methods for classifying cervical Pap cells to enhance manual testing. …”