The Use of D-Optimal Mixture Design in Optimizing Development of Okara Tablet Formulation as a Dietary Supplement by Nur Izzati Mohamad Zen, Siti Salwa Abd Gani, Rosnah Shamsudin, Hamid Reza Fard Masoumi

“…The okara tablets were produced using the direct compression method. The percentage of okara, guar gum, microcrystalline cellulose (Avicel PH-101), and maltodextrin influenced tablets’ hardness and friability which are analyzed using a D-optimal mixture design. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…The particle swarm optimization algorithm is employed for this purpose, with the Oxford PD dataset serving as the source data for training and validation. …”
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Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system by Radwa S. A. Gad, Hegazy Zaher, H. Al-Wahsh, M. H. Eid, Wael M. AlMetwaly, Islam M. Abdelqawee

“…Abstract Availability of a dependable electricity source is essential for improving living standards. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…In recent years, intelligent algorithms represented by data-driven algorithms and heuristic algorithms have gradually emerged, showing great potential for development in hydrodynamic noise optimization applications. To this end, this paper systematically reviews progress in the application of intelligent algorithms in hydrodynamic noise research, focusing on their advantages in the optimal design of noise sources, noise prediction, and control strategy optimization. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. …”
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Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…Mangosteen (Garcinia mangostana L.) peel is an abundant and renewable source of bioactive compounds, particularly α-mangostin and catechins, known for their strong antioxidant properties. …”
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Investigation of Ionic Conductivity of Electrolytes for Anode-Free Lithium-Ion Batteries by Impedance Spectroscopy by Azhar Abdrakhmanova, Alfira Sabitova, Binur Mussabayeva, Bulbul Bayakhmetova, Zhanna Sharipkhan, Elmira Yermoldina

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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. …”
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Screening of Novel Source for Genistein by Rapid and Sensitive UPLC-APCI-TOF Mass Spectrometry by Aparna Bettaiah, Hema Bommanamane Prabhushankar

“…The main objective of the current research work was to discover the novel source for genistein by the simple method of extraction and quantification. …”
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Localization of Near-Field Sources Based on Sparse Signal Reconstruction with Regularization Parameter Selection by Shuang Li, Wei Liu, Daqing Zheng, Shunren Hu, Wei He

“…In this paper, a new source localization method based on sparse signal reconstruction is proposed in the near-field. …”
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A Comprehensive Review of Voltage Source Converters-Based FACTS Controllers in Hybrid Microgrids by Maloth Hussen, Thirumalaivasan Rajaram

“…The focus is on acknowledging the development of voltage source controllers, starting from conventional control techniques to the integration of more advanced methods like optimization strategies, adaptive control, and machine learning-based approaches. …”
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Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The paper considers methods of program transformation equivalent to optimizing the cycle invariant, applied to the functional data-flow model implemented in the Pifagor programming language. …”
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Middle Eastern plants as a source of bioactive metal nanoparticles: a critical review by Abdulrahman M. Elbagory, Okobi Eko Ekpo

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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…This paper proposes a distributed version of DPP inference to enhance multi-source data diversification under limited communication budgets. …”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

“…To cope with this challenge, hybrid energy storage systems, as flexible regulation schemes, are capable of balancing the supply and demand of the power system according to different timescales and power demands, and enhancing the efficiency and utilization of new energy sources. Therefore, this paper proposes an integrated energy system planning and optimization method based on hybrid energy storage. …”
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Diffusion-Based Sound Source Localization Using a Distributed Network of Microphone Arrays by Davide Albertini, Alberto Bernardini, Gioele Greco, Augusto Sarti

“…In this article, we recast the task of sound source localization (SSL) with networks of acoustic arrays as a distributed optimization problem. …”
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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. by Gavrielle R Untracht, Rolando S Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K Durrani, Teemapron Butsabong, Paola Campagnolo, David D Sampson, Christian Heiss, Danuta M Sampson

“…A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. …”
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An effectiveness assessment ensemble for transmission corridor mechanized construction schemes based on weighted itemset mining and factor criticality analysis by Xin Yang, Junyao Hu, Chenhao Sun, Yafei Huang, Ci Tang, Jie Huang

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Design and Application of Bidirectional Converter Based on DAB for Hydrogen Energy Dual-source Locomotive by LUO Pan, RAO Peinan, ZHOU Fengwu, ZHANG Xiaoyong, ZHOU Shuai, ZHANG Qing

“…This paper describes the main circuit design and control strategy of a 440 kW bi-directional isolated DC/DC converter, innovatively proposes a design method of energy storage inductor, which takes the minimum of the peak current of inductor as the optimization objective.The feasibility of the design is verified through principle simulation and test. …”
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Enhancing Knowledge Graph Construction with Automated Source Evaluation Using Large Language Models by Hendrik Hendrik, Silmi Fauziati, Adhistya Erna Permanasari

“…However, the quality of knowledge graphs depends heavily on their sources. Current methods for evaluating these sources are often slow and not scalable. …”
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