Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

“…The effectiveness of the proposed approach is evaluated by simulations performed on the IEEE 33-bus test system and a large scale 114-bus distribution network to determine its reliability for different network sizes. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Design and implementation of a cost-effective, safe, and precise lean-rich generating system for the evaluation of NOX storage reduction catalysts: performance analysis, statistica... by Javad Sajedifar, Seyyed Bagher Mortazavi, Hasan Asilian Mahabadi, Ali Khavanin, Mohammad Sharif Hosseini

“…This research presents a simple, safe, and cost-effective gas generation system for laboratory applications, including evaluating adsorbents and catalysts, particularly NOx storage reduction catalysts, and for toxicological studies using precise dynamic methods like gas stream mixing and evaporation. …”
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From Topology Optimization to Complex Digital Architecture: A New Methodology for Architectural Morphology Generation by Kangqiang Lin, Yongpeng He, Yang Yang, Lei Xiong

“…Owing to the capacities of generating structural configuration with both reasonable mechanical properties and high material utilization, topology optimization has been widely adopted in engineering design. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…A sensitivity analysis is conducted to evaluate the effectiveness of our proposed reconfiguration strategy across different levels of EV and DG penetration.…”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

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Advanced Deep Learning Methods to Generate and Discriminate Fake Images of Egyptian Monuments by Daniyah Alaswad, Mohamed A. Zohdy

“…Moreover, differential evolution for latent-space optimization reduced alignment mistakes during specific monument construction tasks by about 15%. …”
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Evaluation of Model and Process Optimization for the Treatment of Drilling Wastewater Using Electrocoagulation by Muhammed Kamil Öden

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Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms by Ruba Awad, Cenk Budayan, Asli Pelin Gurgun

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Cost-based optimal distributed generation planning with considering voltage depended loads and power factor of DG by Babak Yousefi-Khangah, Saeed Abapour, Shahram Yousefi-khangah

“…To confirm the results, impact of loads which are dependent on voltage and variation of the power factor of the DG units is applied and then Effect of power factor on optimal location and size of DG is shown. A method is proposed for convergence of different results which is caused by different power factors. …”
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Scalable evaluation framework for retrieval augmented generation in tobacco research using large Language models by Sherif Elmitwalli, John Mehegan, Sophie Braznell, Allen Gallagher

“…Abstract Retrieval-augmented generation (RAG) systems show promise in specialized knowledge domains, but the tobacco research field lacks standardized assessment frameworks for comparing different large language models (LLMs). …”
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Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

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Comparative evaluation of DNA and RNA probes for capture-based mitochondrial DNA next-generation sequencing by Tianlei Sun, Shengjing Li, Yang Liu, Kaixiang Zhou, Jiamin Wang, Zhangwen Lei, Xu Guo, Jinliang Xing, Wenjie Guo

“…Conclusions The systematic evaluation of DNA and RNA probes in capture-based mtDNA NGS provides valuable insights into their performance differences. …”
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Performance evaluation of helium-based binary gas mixtures in standing-wave thermoacoustic electricity generator by Ikhsan Setiawan, Prastowo Murti, Irna Farikhah, Agung Bambang Setio Utomo

“…Key performance metrics such as onset temperature difference ΔTonset), resonance frequency, pressure amplitude, and electrical power output were evaluated. …”
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Cost-optimal sizing of battery energy storage systems in microgrids using artificial Rabbits optimization by Riwa Q. Momani, Ahmad Abuelrub, Hussein M.K. Al-Masri, Ali Q. Al-Shetwi

“…The proposed model incorporates technical and economic considerations, including depth-of-discharge limits, initial battery state-of-charge (SOC), and different wind turbine models. Three operational scenarios are evaluated: without BESS (Case A), and with BESS initialized at 20 %, and 100 % SOC (Cases B, and C). …”
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Multi-objective optimization of HESS control for optimal frequency regulation in a power system with RE penetration by Ousama M.T. Ajami, Rodney H.G. Tan, Mithulan Nadarajah, Farah Adilah Jamaludin, Adlan Bagus Pradana

“…To optimize the control parameters with the best objectives, all possible sets of objectives with four different optimization algorithms are studied. …”
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Analysis of Smart Grid Optimal Scheduling considering the Demand Response of Different EV Owners by Xiaohua Zhang, Chongyang Liao, Xingrui Chen, Kuiheng Deng, Bolin Chen, Yibo Gong

“…To evaluate the proposed method, the IEEE 10-unit system is employed for simulation, and the optimization problem is solved using the CPLEX solver. …”
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Reducing Artificial Intelligence Costs in Business through Prompt Optimization by Emre Akadal

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Optimizing the Genomic Evaluation Model in Crossbred Cattle for Smallholder Production Systems in India by Kashif Dawood Khan, Rani Alex, Ashish Yadav, Varadanayakanahalli N. Sahana, Amritanshu Upadhyay, Rajesh V. Mani, Thankappan Sajeev Kumar, Rajeev Raghavan Pillai, Vikas Vohra, Gopal Ramdasji Gowane

“…This study aimed to optimize genomic evaluation models for crossbred cattle in South India. …”
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Design optimization and generating characteristics of a linear arc PM vernier machine for wave energy conversion system by Urooj Jadoon, Faisal Khan, Salar Ahmad Khalil, Hatim Alwadie, Adoalateef Alzhrani

“…Comparison analysis for evaluating performance metrics has been investigated for different stake lengths. …”
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