A multi-objective planning approach for optimal DG allocation for droop based microgrids حسب Shaaban, Mostafa

"…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …"
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Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective حسب Mir, Imran

"…This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…Graph neural networks lower prediction error by up to thirty percent relative to descriptor-driven QSAR models for structurally diverse inhibitors. …"

Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations حسب Elmeligy, Mohamed Mostafa Abdelazim

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Particle swarm optimization approach for protein structure prediction in the 3D HP model حسب Mansour, Nashat

"…Our algorithm performs better than previous algorithms by finding lower energy structures or by performing fewer numbers of energy evaluations.…"
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Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization حسب Mohammed Al-Khawaja (17093017)

"…Using the genetic algorithm optimization method with R1234ze(E) as working fluid in both power and cooling loops, a maximum power loop efficiency of 6.3% and COP of 5.3 were obtained at a high pressure of 29 bar (in the power loop) with minimal expander diameter of 64, compressor diameter of 171 mm, and 18 expander-compressor units.…"

Blood Glucose Regulation Modelling and Intelligent Control حسب Nasar, Nabeel

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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP حسب Abdelhafez, Nada

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

"…To overcome these issues, we propose a depth controlled with energy-balanced routing protocol, which will be able to adjust the depth of lower energy nodes and be able to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. …"

An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring حسب Nitin Goyal (7876730)

"…The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. …"

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

"…The best ML model and the best feature selection algorithm combination were fine-tuned to optimize its performance using hyperparameter optimization. …"

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems حسب Khaled Dhibi (16891524)

Secrecy Performance of Decode-and-Forward Based Hybrid RF/VLC Relaying Systems حسب Jaber Al-Khori (16855470)

Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems حسب Sadjadi, Hossein

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Energy-Aware Physical Synthesis of Deep Neural Networks for Edge-AI Applications in Robotics and VLSI Systems حسب Arulprakash, Enoch

"…Energy-aware physical synthesis is essential for deploying deep neural networks (DNNs) in edge-AI applications for robotics and VLSI systems, where stringent power, area, and latency constraints prevail. Beyond algorithm-and software-level optimizations such as network compression and compiler techniques, the physical effects during VLSI imple-mentation including clock tree synthesis (CTS), routing congestion, IR-drop, cell sizing, and placement significantly influence energy consumption and timing closure. …"
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The Use of Microwave Tomography in Bone Healing Monitoring حسب Alkhodari, Mohanad Ahmed

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Minimizing Mean Tardiness Subject To Unspecified Minimum Number Tardy For A Single Machine حسب Duffuaa, S. O.

"…It also uses an insertion algorithm which determines the optimal mean tardiness once the subset of tardy jobs is specified. …"
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The multi-parameterized cluster editing problem حسب Abu-Khzam, Faisal N.

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Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

"…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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