DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications حسب Danya A. Saifaldeen (19498705)

"…Furthermore, it intelligently selects the optimal technique to improve SC, whether VLC or RF. …"

On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles حسب Fatma Ahmed (11084787)

"…A third-order equivalent circuit model is employed for the LIB based on electrochemical impedance spectra test results, with model parameters identified using a particle swarm optimization algorithm. Two real-time model-based estimation algorithms, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF), are compared for SoC estimation. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"

Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control حسب Farhat Mahmood (15468854)

"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"

Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS حسب Iman Faridmehr (14150616)

"…A hybrid artificial neural network coupled with a metaheuristic Whale optimization algorithm has been developed to estimate the overall deflection of concrete beams due to creep and shrinkage. …"

Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring حسب Zina Chkirbene (16869987)

"…By formulating the video resource allocation challenge as a multi-objective optimization problem, the framework aims to minimize network delays while respecting node capacity limitations. …"

Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators حسب Sulaiman, Mohamad

احصل على النص الكامل

Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

"…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
احصل على النص الكامل
احصل على النص الكامل

Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review حسب Chakraborty, Sanjoy

"…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
احصل على النص الكامل

EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

"…The interest in finding an optimal partitioning especially in VLSI, and has been a hot issue in recent years. …"
احصل على النص الكامل

General iterative heuristics for VLSI multiobjective partitioning حسب Sait, Sadiq M.

"…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Parallelization of Stochastic Evolution حسب Khan, Khawar

"…However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. Among the acceleration techniques proposed, parallelization of iterative heuristics is a promising one. …"
احصل على النص الكامل

Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement. حسب Syed, Sanaullah/SS

"…However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. Among the acceleration techniques proposed, parallelization of these heuristics is one promising alternate. …"
احصل على النص الكامل

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. …"