A Survey of Data Clustering Techniques حسب Sobeh, Salma

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Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…The contributions of the paper are four fold: (i) generating an optimized block distribution scheme among the nodes of a given data center for fixed and variable size blocks; (ii) optimization of storage allocation under dynamic environments with data block arrivals; (iii) optimization of storage allocation with newly added storage nodes; and (iv) generating an effective block distribution scheme among the nodes by accounting for varying priorities among data blocks. …"
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Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…Fast convergence validates the efficacy of our algorithms for different system parameters. Simulation results are shown to be close to optimal for the case of newly arriving blocks.…"
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Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

"…We present a range of results for our proposed algorithms in several scenarios to assess the effectiveness of the solution approaches that are shown to generate results close to optimal.…"
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A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …"

Towards Multimedia Fragmentation حسب Saad, Samir

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Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system حسب Gholami, Mohammadreza

"…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …"
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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

"…First, a feature selection tool using PSO Algorithm is developed. Then, in order to maximize the diversity between data samples and improve the effectiveness of using PSO algorithm for feature selection, the Euclidean distance metric is used in order to reduce the data and maximize the diversity between data samples. …"

Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system حسب Mohammadreza Gholami (17032317)

"…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …"

State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications حسب Mena S. ElMenshawy (17983807)

"…Results have demonstrated that the proposed algorithm provides an RMSE of 0.3%, an MAE of 0.01%, and a MaxAE of 1.7% for SoC estimation.…"

Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks حسب Kherraf, Nouha

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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

"…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …"

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"

Fault-Tolerant Network Topologies for Datacenters حسب Attia, Heba Mahmoud Helal

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A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

"…<p>The energy internet (EI) is evolving toward decentralized, data-rich, and time-critical operation, where legacy optimization often fails to meet complexity, scalability, and real-time constraints. …"

Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid حسب Sk.A. Shezan (21323048)

"…The proposed off-grid microgrid's CO₂emissions, total net present cost (NPC), and the Levelized cost of energy (LCOE) have all been optimized. In HOMER software, all the possible dispatch algorithms were analyzed, and the power system responses and reliability study were carried out using DIgSILENT PowerFactory. …"

A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks حسب Umesh Kumar Lilhore (17727684)

"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"

Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids حسب Ahmed Ouammi (14151039)

"…The main objective is to formulate a constrained optimization problem embedded in a model predictive control (MPC) scheme to optimally control the operation of each microgrid to reduce/shave the peak load in case of occurrence, optimizing the power flows exchanges and energy storages, while ensuring a high quality of service to the EVs owners in each microgrid. …"