A hybrid renewable energy system for Hassi Messaoud region of Algeria: Modeling and optimal sizing by Yacine Bourek, El Mouatez Billah Messini, Chouaib Ammari, Mohamed Guenoune, Boulerbah Chabira, Bipul Krishna Saha

“…These findings validate GA-based optimization as a superior method for designing cost-effective, reliable, and environmentally sustainable HRES, offering significant potential to reduce fossil fuel dependency in industrial applications. …”
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Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…Using the differential evolution optimization method, the minimum surface roughness was calculated as 0.442 µm. …”
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Single nucleotide polymorphism-based visual identification of Rhodiola crenulata using the loop-mediated isothermal amplification technique by Li Hao, Xin Shi, Shiyu Wen, Caiye Yang, Yaqi Chen, Samo Yue, Jiaqiang Chen, Kexin Luo, Bingliang Liu, Yanxia Sun, Yi Zhang

“…& Thomson) H.Ohba, a member of the Crassulaceae family, is a traditional Chinese medicine recognized as the original source of Rhodiolae Crenulatae Radix et Rhizoma in the 2020 edition of the China Pharmacopoeia. …”
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An Optimal Control Strategy for DC Bus Voltage Regulation in Photovoltaic System with Battery Energy Storage by Muhamad Zalani Daud, Azah Mohamed, M. A. Hannan

“…In this way, the regulation of DC bus voltage of the PV/BES system can be enhanced as compared to the conventional regulation that is solely based on the voltage-sourced converter (VSC). For the grid side VSC (G-VSC), two control methods, namely, the voltage-mode and current-mode controls, are applied. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…The analysis utilized the “Concrete Compressive Strength” dataset, sourced from UC Irvine’s publicly available ML repository. …”
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USE OF MONTE CARLO SIMULATIONS FOR OPTIMAL GEOMETRY STUDY IN CALCULATION OF ATTENUATION COEFFICIENT FOR ELEMENT, COMPOUND AND MIXTURE by Caroline Mattos Barbosa, Cesar Raitz, Roos Sophia de Freitas Dam, William Luna Salgado, Cesar Marques Salgado, Delson Braz

“…Several measurement geometries were tested with different radiation energies, and the best results were obtained using lead collimators on both detector and radiation source. The considered geometries were isotropic source without any collimation, isotropic source with detector and/or source collimation, and a point source collimated into a cone of directions. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…This study compares the effect of several feature selection methods, machine learning (ML) classifiers, and sources of radiomic features, on models’ performance for the diagnosis of clinically significant prostate cancer (csPCa) from bi-parametric MRI. …”
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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…A case study for a PLC targeting a Single Wire Earth Return (SWER) network coupling via a 5.1-nF Coupling Capacitor (CC) exemplifies the need for this research. The proposed method relies on the construction of an s-parameter cascade for the load, source, and matching circuit for the PLC application. …”
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Biomanager Optimization Model for Enhancing Biogas Production from Cattle Farming in a Circular Economy System by Santiago Alexander Guamán Rivera, José Miguel Mira Naranjo, José Miguel Mira Naranjo

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Day-ahead optimal dispatch considering demand response compensation and carbon trading under uncertain environment. by Ze Ye, Deping Liang, Meihui Wang, Lei Chen

“…To fully explore the regulation resources on both sides of the source and load under uncertain environment and collaboratively achieve the energy saving and emission reduction goals, a low-carbon economic optimization dispatch model combining demand response and carbon trading mechanism is proposed in this paper. …”
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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution by Changping Sun, Xiaodi Zhang, Wei Zhang, Jiahao Liu, Zubing Zou, Leying Li, Cheng Wang

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy by Mohammad Ahmed Alnakhli

“…Additionally, we enhance energy efficiency through the Augmented Lagrangian method for power control optimization. Our approach achieves superior joint spectrum and energy efficiency, with spectrum efficiency reaching 0.75 bits/Hz, outperforming other methods by effectively exploiting data correlation. …”
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Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks by Y. Harold Robinson, M. Rajaram

“…The CTRNN is used as an optimum path selection technique that produces a set of optimal paths between source and destination. In CTRNN, particle swarm optimization (PSO) method is primly used for training the RNN. …”
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Optimizing Bacterial Cellulose Production From Kombucha Tea Utilizing Molasses and Tea Dust in Growth Medium by Suriyapriya Selvaraj, Kalaichelvan Gurumurthy

“…This study is aimed at optimizing SCOBY production media using economical substrates through the Taguchi method of response surface methodology (RSM). …”
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Optimal State Estimation in Underwater Vehicle Discrete-Continuous Measurements via Augmented Hybrid Kalman Filter by Vadim Kramar, Kirill Dementiev, Aleksey Kabanov

“…The paper discusses, in detail, the theoretical foundations of the proposed method, including the mathematical description of continuous and discrete models, and its optimality criterion formulation. …”
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Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling by Ahmad Hussain, Mansoor Iqbal, Sheraz Aslam, Saad Alahmari, Abdulwahab Alkharashi

“…By integrating optimized DCP, ALE, and the Minimum Fusion Technique, the approach achieves superior performance with a PSNR of 35.45 dB and an SSIM of 0.97, outperforming existing methods such as Scene-Specific DCP, TON, and FFA_NET. …”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…The research introduces a novel method combining a Combination Optimization (CO) strategy with a Fuzzy K-Means (FKM) clustering algorithm to address the challenges and achieve superior urban data analysis performance. …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
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