Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…The numerical results obtained by the proposed EOA are compared with other optimization techniques such as grey wolf optimization, particle swarm optimization (PSO), differential evolution algorithm, and other optimization techniques in the literature. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…In recent years, researchers have developed advanced algorithms based on the analysis of variance (ANOVA) technique for computing numerical sensitivity indicators. …”
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Estimation of soil free Iron content using spectral reflectance and machine learning algorithms by Wanzhu Ma, Hongkui Zhou, Hao Hu, Zhiqing Zhuo, Kangying Zhu, Guangzhi Zhang

“…We used machine learning algorithms, such as partial least squares (PLS), support vector machine (SVM), random forest (RF), and deep neural network (DNN) algorithms for model construction. …”
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Genetic Variation Analysis of Four Local Varieties of Indonesian Black Rice (Oryza sativa L.) Based on Partially rbcL cpDNA Gene Sequence by Abdul Basith, Estri Laras Arumingtyas, Widodo Widodo

“…The partial rbcL sequence of black rice consisted of 26.58% tyrosine, 21.38% cytosine, 28.86% adenine, and 23.18% guanine. …”
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Power and efficiency enhancement of solar photovoltaic power plants through grouped string voltage balancing approach by Priya Ranjan Satpathy, Vigna K. Ramachandaramurthy, Thurga R. Radha Krishnan, Saranya Pulenthirarasa, Sanjeevikumar Padmanaban

“…Also, partial shading adds further complexity to the maximum power point tracking algorithms by introducing numerous peaks in the power curves, resulting in additional losses. …”
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An <i>O</i>(<i>kn</i>)-Time Algorithm to Solve Steiner (<i>k</i>, <i>k</i>′)-Eccentricity on Trees by Xingfu Li

“…Finally, we present an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>k</mi><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>-time algorithm to solve Steiner <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>k</mi><mo>,</mo><msup><mi>k</mi><mo>′</mo></msup><mo>)</mo></mrow></semantics></math></inline-formula>-eccentricity on a given fixed <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>k</mi><mo>′</mo></msup></semantics></math></inline-formula>-set in trees.…”
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Erratum: Exact rotating black hole solutions for f(R) gravity by modified Newman Janis algorithm by Pankaj Chaturvedi, Utkarsh Kumar, Udaykrishna Thattarampilly, Vishnu Kakkat

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An Improved Tuning of PID Controller for PV Battery-Powered Brushless DC Motor Speed Regulation Using Hybrid Horse Herd Particle Swarm Optimization by A. RamaKrishnan, A. Shunmugalatha, K. Premkumar

“…The optimal gain parameter of the PID controller is tuned by hybrid horse herd optimization algorithm. The purpose of the newly developed HHHPSO algorithm is to enhance the performance of the classic horse herd algorithm (HHA), specifically in two different ways. …”
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Nonuniform Illumination Correction Algorithm for Underwater Images Using Maximum Likelihood Estimation Method by Sonali Sachin Sankpal, Shraddha Sunil Deshpande

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Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

“…This study addresses the multi-objective optimization challenges in seasonal heat-power load distribution for cogeneration units by proposing a multi-objective artificial fish swarm algorithm based on intuitionistic fuzzy entropy (IFEMOAFSA). …”
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WeatherClean: An Image Restoration Algorithm for UAV-Based Railway Inspection in Adverse Weather by Kewen Wang, Shaobing Yang, Zexuan Zhang, Zhipeng Wang, Limin Jia, Mengwei Li, Shengjia Yu

“…However, images captured during complex weather conditions, such as rain, snow, or fog, often suffer from severe degradation, affecting image recognition accuracy. Existing algorithms for removing rain, snow, and fog have two main limitations: they do not adaptively learn features under varying weather complexities and struggle with managing complex noise patterns in drone inspections, leading to incomplete noise removal. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…Metaheuristic algorithms have gained significant attention in recent years for addressing complex and challenging optimization problems, especially in engineering. …”
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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…The QIL technique improves the search process by selecting three different rime particles rather than relying solely on the current best solution. …”
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Direction of Arrival Estimation Algorithm for Underwater Distributed Sources Based on Deep Neural Network by Yinian LIANG, Jie LI, Fangjiong CHEN, Fei JI, Hua YU

“…In view of the limitation of traditional subspace-based direction of arrival(DOA) estimation algorithms that rely on prior coherence information for localizing distributed sources with varying coherences, a DOA estimation algorithm for underwater distributed sources based on deep neural network(DNN) was proposed in this paper. …”
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Design and optimization of a compact dual band metal insulator metal filter for high sensitivity refractive index sensing using particle swarm optimization by Ali Darabi, Mazdak Rad Malekshahi

“…The filter’s dimensions are optimized using the Particle Swarm Optimization (PSO) algorithm, ensuring maximum sensitivity and miniaturization. …”
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Multi-user channel estimation for uplink OFDMA systems based on the random-set theory by Yuan JING, Bin NIU, Ying-ying TAI

“…For the uplink OFDMA systems,a random-set theory based multi-user channel estimation algorithm was proposed.In the proposed algorithm,states of the users the multi-path channels were modeled and described by a finite random set.Then the Bayes filtering was utilized to formulate the problem of multi-user channel estimation.To obtain both the accepted channel estimation performance and low computational complexity,the Rao-Blackwellized particle filtering algorithm was applied to approximately solve this Bayes filtering problem with small number of particles.Simulation results show the effectiveness of the proposed algorithm.…”
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Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support ve... by Yunfei Li, Dongni Zhang, Yiren Wang, Yiren Wang, Yiheng Hu, Zhongjian Wen, Zhongjian Wen, Cheng Yang, Ping Zhou, Wen-Hui Cheng

“…Based on these screened features, three models were built: Dynamic Multi-Swarm Particle Swarm Optimization SVM (DMS-PSO-SVM), Particle Swarm Optimization SVM (PSO-SVM), and a standard SVM. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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Study on the Near-Distance Object-Following Performance of a 4WD Crop Transport Robot: Application of 2D LiDAR and Particle Filter by Eun-Seong Pak, Byeong-Hun Kim, Kil-Soo Lee, Yong-Chul Cha, Hwa-Young Kim

“…The study incorporates identifier (ID) classification and a distance-based dynamic angle of perception model to enhance the tracking capabilities of the 2D LiDAR sensor. A particle filter algorithm was utilized to verify the accuracy of object tracking. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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