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Modeling and Analysis of Interactive Wireless Data Offloading
, M.Sc. Thesis Sharif University of Technology ; Ashtiani, Farid (Supervisor) ; Mirmohseni, Mahtab (Co-Advisor)
Abstract
Due to the explosive growth of mobile data traffic and growth of the number of access points (APs), Wi-Fi data offloading is a promising solution to cope with the data explosion. In delayed WiFi offloading, mobile users (MUs) can intentionally bear some delay in order to increase the chance of offloading and remarkably improve offloading ratio. In this thesis, we propose a new decision method for delayed offloading in a network comprised of a base station (BS), some non-overlapping WLANs, and some MUs. We take into account the residual service time and the congestion level in WLAN as the key parameters for decision making in offloading process. Because these parameters are time-varying and...
An Efficient Solution for Drug Target Interaction and Binding Affinity Prediction Using Deep Learning Methods
, Ph.D. Dissertation Sharif University of Technology ; Koohi, Somayyeh (Supervisor)
Abstract
Predicting the interaction and binding affinity of drug-target represents a crucial yet complex phase in the time-consuming and costly process of drug discovery and development. Advances in deep learning have significantly enhanced the ability to model and extract intricate relationships and patterns from diverse biological and pharmaceutical data. However, existing methodologies encounter several fundamental challenges, including the modeling of protein and drug representations, understanding molecular interactions, and overcoming data access limitations. Addressing these challenges has necessitated the use of various heterogeneous architectures, methods, and data structures. Despite these...