Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC حسب Abbas, Nadine

"…In this work, we propose a joint computing, communication and cost-aware task offloading optimization problem aiming at maximizing the number of completed tasks, while minimizing energy consumption and monetary cost in D2D-enabled heterogeneous MEC networks. …"
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Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

"…In this work, a Deep Reinforcement Learning agent is proposed for controlling and optimizing a school building’s energy consumption. It is designed to search for optimal policies to minimize energy consumption, maintain thermal comfort, and reduce indoor contaminant levels in a challenging 21-zone environment. …"

Cooperative clustering models for Vehicular ad hoc networks. (c2013) حسب Abdel Wahab, Omar Mohammad

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Studying cooperative multi-agent reinforcement learning in networks حسب Oudah, Mayada Mohamed

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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks حسب Kalash, Saeddin

"…This study aims to reduce redundant data collection while deploying the minimum number of UAVs, minimizing energy consumption and maximizing VoI. We first formulate the general problem and solve it as a multi-objective optimization problem. …"
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The bus sightseeing problem حسب Qian Hu (205735)

"…On the contrary, they are selected in pursuit of maximizing the profit collected from them. Significant research focus has been directed toward profitable routing variants due to the practical importance of their applications and their interesting structure, which jointly optimizes node selection and routing decisions. …"

Dynamic Spectrum Scheduling and Management in Centralized Cognitive Radio Networks حسب Sweileh, Omar Khalid

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Adaptive QoS-Based Scheduler for 4G CDMA Wireless Networks حسب Baroudi, U.Mohammed

"…We shall compare through system level simulations of the downlink channel the enhancements provided by the proposed scheme with Power Earliest Deadline First (PEDF). The proposed algorithm show outstanding improvement in the total system throughput while minimize the average packet delay.…"
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Mobile hospitals routing for prioritized patients حسب Tarhini, Abbas

"…A recognized problem in this domain is minimizing the cost of mobile hospitals rout in a way that the number of served patients is maximized. …"
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Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach حسب Danach, Kassem

"…A recognized problem in this domain is minimizing the cost of mobile clinics route in a way that the number of served patients is maximized. …"
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The maximum common subgraph problem حسب Abu-Khzam, Faisal N.

"…With its plethora of applications, MCS is a familiar and challenging problem. Many algorithms exist that can deliver optimal MCS solutions, but whose asymptotic worst-case run times fail to do better than mere brute-force, which is exponential in the order of the smaller graph. …"
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Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems حسب Margossian, Harag

"…The problem is formulated as a mixed-integer, nonlinear, multi-period optimal power flow (MP-OPF) which aims to maximize the DG hosting capacity under thermal and voltage constraints. …"
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Ultra-small cell networks with collaborative RF and lightwave power transfer حسب Tran, HA-Vu

"…Both problems are optimally solved by appropriate algorithms. Moreover, we propose a closed-form suboptimal solution with high accuracy to tackle the optical transmitters’ resource allocation problem, as well as an efficient semi-decentralized method. …"
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Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

"…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…Our proposed framework consists of two essential steps: establishing a correlation between IL viscosity and CO₂ solubility by merging two deep learning models (DNN-GC and ANN-GC) and utilizing this correlation to identify the optimal IL structure with maximal CO₂ absorption capacity. …"

Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates حسب Ratiba F. Ghachi (14152455)

"…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …"

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. Optimal and effective use of the available computational resources can be attained by maximizing the effective utilization of the cluster nodes. …"

Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

"…This choice is subject to study the demand of a particular location for services in order to maximize the resources utilization of these fogs. A simple algorithm will not be able to explore randomly changing users’ demands. …"
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AI-based remaining useful life prediction and modelling of seawater desalination membranes حسب Al Ali, Fajer

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