Virtual topologies for massively parallel computations. (c2015) by Jahed, Karim A.

“…In their essence, recursive search tree algorithms are nothing but mere enumeration of the solution space. …”
Get full text
Get full text

Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

“…Our proposed scheme embeds (1) a Kubeadm based approach for clustering OBUs and enabling on-demand micro-services deployment with the least costs and time using Docker containerization technology, (2) a hybrid multi-layered networking architecture to maintain reachability between the requesting user and available vehicular fog cluster, and (3) a vehicular multi-objective container placement model for producing efficient vehicles selection and services distribution. An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
Get full text
Get full text
Get full text
Get full text

An accurate space time pseudospectral method for solving nonlinear multi-dimensional heat transfer problems by Zogheib, Bashar

“…In this paper, we consider the numerical solution of the nonlinear one- and two-dimensional heat transfer problems subject to the given initial conditions and linear Robin boundary conditions. …”
Get full text
Get full text

Nonlinear clustering optimization for scalable data mining in cloud and quantum computing environments by Manjula, S.

“…The findings make nonlinear analysis a fundamental component of unsupervised learning in the present day, and apply to the dynamical systems modelling, interpretable data mining, and resource-sensitive algorithm design. The model offers an intellectual roadmap to the future of cloud-quantum clustering systems that will take into account the needs of engineering, scientific, and industrial discovery.…”
Get full text
Get full text
Get full text

An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure by Fahmy, Ahmed

Get full text

DRL-Based IRS-Assisted Secure Visible Light Communications by Danya A. Saifaldeen (19498705)

“…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …”

Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

“…To evaluate the generalizability of the algorithms, the agents are tested across various velocities, tire–road friction coefficients, and additional scenarios implemented in IPG CarMaker, a high-fidelity vehicle dynamics simulator. …”

A comparison of optimization heuristics for the data mapping problem by Mansour, Nashat

“…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …”
Get full text
Get full text
Get full text

Optimization of Battery Electric Bus Charging under Varying Operating Conditions by Basma, Hussein

“…The algorithm is illustrated in the case of bus number 21 in Paris.…”
Get full text
Get full text
Get full text
Get full text

Radar Pulse Interleaving For Multi-Target Tracking by Elshafei, M.

“…In a multifunction radar, the maximum number of targets that can be managed or tracked is an important performance measure. Interleaving algorithms developed to operate radars exploit the dead-times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing the capacity of the system. …”
Get full text

Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation by Alsaber, Ahmad

“…The proposed methods employ optimisation techniques such as mixed integer goal programming (MIGP) and genetic algorithm (GA) to offer a comparative multi-solution outcome towards optimising the passenger quality of services at airport departure check-in. …”
Get full text
Get full text

Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

“…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …”
Get full text

On the complexity of various parameterizations of common induced subgraph isomorphism by Abu-Khzam, Faisal N.

Get full text
Get full text
Get full text
Get full text

Decomposition method for solving a nonlinear business cycle model by Dibeh, Ghassan

“…In this paper we present a Kaleckian-type model of a business cycle based on a nonlinear delay differential equation. A numerical algorithm based on a decomposition scheme is implemented for the approximate solution of the model. …”
Get full text
Get full text
Get full text
Get full text

Enhancement of blocking performance in all-optical WDM networks. (c2012) by Joun, Carla J.

Get full text
Get full text

Toward automatic motivator selection for autism behavior intervention therapy by Siyam, Nur

“…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …”
Get full text
Get full text

Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

Get full text

Exploring AI Conversational Chatbot UX Design: Insights from High School by Suha Khalil Assayed

“…Advancements in state-of-the-art models and algorithms for chatbots have significantly driven the growth and evolution of human–computer interaction (HCI) in recent years. …”
Get full text

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. Extensive simulations show that our model outperforms competitive methods by around 29% in terms of latency and around 23% in terms of transmission power improvements while delivering results comparable to the traditional LDTP optimization solution by around 9% in terms of latency.…”

Parallel tabu search in a heterogeneous environment by Al-Yamani, A.

“…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
Get full text
Get full text