Optimization and synergistic enhancement of microalgae productivity in laboratory raceway ponds via co-regulation of automated light-supplemented mixers and electric field system by Siyuan Ren, Cong Shao, Feifei Zhu, Michael Schagerl, Xinjuan Hu, Mostafa Sobhi, Ling Xu, Jingya Qian, Shuhao Huo

“…The combination of automated light-supplemented mixers and electric field treatment introduces a promising strategy to enhance raceway pond gas‒liquid mass transfer, improve microalgae biomass production, and increase carbon fixation. Computational fluid dynamics simulations identified an optimal mixing configuration employing a 75° inclined blade rotating counterclockwise at 300 rpm, which reduced dead zones from approximately 15.5% to 1.1% and shortened the light–dark exposure of cells to 2.7 s in a laboratory-scale raceway pond (71.4 dm3). …”
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Corn Leaf Disease Classification Optimization Using Resnet50 Architecture Utilizing Bayesian Optimization by Yahya Auliya Abdillah, Kusrini Kusrini

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Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem by Qingrui Li, Yongquan Zhou, Qifang Luo

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Energy Storage Optimization in Renewable Energy Systems using Particle Swarm Optimization by Nidziy Elena, Bobba Phaneendra babu, Seshapp Angadi, Taneja Madhur, Saini Neha, Sharma Vishal, Gupta Tannmay, Sharma Ashish, Al-Farouni Mohammed

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A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

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An improved pelican optimization algorithm for function optimization and constrained engineering design problems by Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed

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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

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Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…Different testing scenarios are considered to analyze and evaluate the performance of the proposed method such as the effect of dimensionality (CEC2018 benchmarking suite), convergence speeds, avoidance of local entrapment (CEC2019 benchmarking suite) and constrained optimization problems (four standard engineering problems). …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

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Optimization of Processes for Shared Cars by Janis Bicevskis, Ivo Odītis, Zane Bicevska, Viesturs Spulis

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Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey by Naeem Khan, Shibli Nisar, Muhammad Asghar Khan, Yasar Abbas Ur Rehman, Fazal Noor, Gordana Barb

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Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment by U.K. Jena, P.K. Das, M.R. Kabat

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An In-Memory-Computing Binary Neural Network Architecture With In-Memory Batch Normalization by Prathamesh Prashant Rege, Ming Yin, Sanjay Parihar, Joseph Versaggi, Shashank Nemawarkar

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Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

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A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization by Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao

“…These advances establish the computational efficiency and reliability of MSHLOA for engineering problems, providing a general example of an augmented meta-heuristic algorithm that offers a new, more efficient solution to engineering structural optimization problems.…”
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Optimizing the Performance of Data Warehouse by Query Cache Mechanism by Ch Anwar Ul Hassan, Muhammad Hammad, Mueen Uddin, Jawaid Iqbal, Jawad Sahi, Saddam Hussain, Syed Sajid Ullah

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Optimizing Hyperparameters in Meta-Learning for Enhanced Image Classification by Amala Mary Vincent, P. Jidesh, A. A. Bini

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Optimizing Knowledge Transfer Graph for Deep Collaborative Learning by Soma Minami, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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Optimizing Time Series Models for Water Demand Forecasting by Gal Perelman, Yaniv Romano, Avi Ostfeld

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Intelligent computing system construction and application for the human-water relationship discipline by ZANG Chao, ZHANG Shuqi, ZUO Qiting

“…The proposed framework consists of four key components: intelligent identification, intelligent assessment, intelligent simulation, and intelligent optimization and regulation. …”
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