Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance by Saad Motahhir, Abdelaziz El Ghzizal, Souad Sebti, Aziz Derouich

“…Finally, simulations of the conventional and modified algorithm are compared, and the results show that the modified algorithm provides an accurate response to a sudden increase in solar irradiation.…”
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Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing by Sui Zhenxing, Wang Zheng, Yuan Xiaolei

“…These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance. This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing. …”
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A rapid heuristic algorithm to solve the single individual haplotype assembly problem by Melina Bagher, Reza Karimzadeh, Mehran Jahed, Babak Hossein Khalaj

“…The second stage of the algorithm involves refining the reconstructed haplotypes to increase their accuracy. …”
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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

“…This paper addresses the parameter estimation of four distinct PV panel models—PV-RTC, PV-PWP 201, PV-STM6 40/36, and PV-STP6 120/36—using a range of meta-heuristic optimization algorithms. The centerpiece of this study is the introduction of a novel hybrid algorithm, HPSGWO, which combines Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO) techniques. …”
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Evaluation of the Efficiency of Metaheuristic Algorithms in the Optimal Design of Pile Wall Retaining Systems by Farshad Taiyari

“…Four different metaheuristic algorithms, namely Genetic, Particle swarm optimization, Bee, and Biogeography-based algorithms, are chosen for the optimization problem. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Specifically, support vector regression (SVR) was combined with three optimization algorithms: firefly algorithm (FFA), particle swarm optimization (PSO), and grey wolf optimization (GWO) to create hybrid models for estimating the SE of carbon fiber-reinforced mortars. …”
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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…The optimized hyperparameters for the GBM model were identified using the AIW-PSO algorithm, which effectively balanced exploration and exploitation by adaptively adjusting inertia weights. …”
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An Improved Physics-Informed Neural Network Algorithm for Predicting the Phreatic Line of Seepage by Yunpeng Gao, Li Qian, Tianzhi Yao, Zuguo Mo, Jianhai Zhang, Ru Zhang, Enlong Liu, Yonghong Li

“…As new ways to solve partial differential equations (PDEs), physics-informed neural network (PINN) algorithms have received widespread attention and have been applied in many fields of study. …”
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An Algorithm for Mining Frequent Approximate Subgraphs with Structural and Label Variations in Graph Collections by Daybelis Jaramillo-Olivares, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad

“…Unlike other FSM approaches, our proposed algorithm tracks subgraph occurrences and their structural dissimilarities, allowing user-defined partial similarities between node and edge labels, and captures frequent approximate subgraphs (patterns) that would otherwise be overlooked. …”
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A 3D Offline Packing Algorithm considering Cargo Orientation and Stability by Xianpei Wang, Li Gong, Haocheng Zhao, Bowen Li, Meng Tian

“…Taking the mean value of the reciprocal of space utilization as the objective function, this paper designs a hybrid genetic algorithm that combines genetic algorithm and tabu search algorithm. …”
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Small target detection in coal mine underground based on improved RTDETR algorithm by Feng Tian, Cong Song, Xiaopei Liu

“…A new BasicBlock-PConv module was created by incorporating Partial Convolutions (PConv) into the conventional BasicBlock, which was based on the FasterNet network. …”
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QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing by Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari

“…In this paper, the Smart Message Passing Interface Approach (SMPIA) is combined with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms for CC application. …”
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Comparative Analysis of Optimization Algorithms to Enhance WPGSs Performance: Malaysia Case Study by Hussein Shutari, Taib Ibrahim, Nursyarizal Bin Mohd Nor, Hakim Abdulrab, Yahya Z. Alharthi, Mohammad Faridun Naim Tajuddin, Maveeya Baba

“…This paper investigates the implementation of five optimization algorithms:sine cosine algorithm (SCA), grey wolf optimizer (GWO), particle swarm optimizer (PSO), transient search optimization (TSO), and a hybrid sine cosine algorithm-transient search optimizer (HSCATSO), to optimally design control schemes (ODCSs) of frequency converters within grid-connected WPGS. …”
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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

“…In addition, the results obtained from the suggested approach have been compared to those achieved by other modern and competitive metaheuristic optimization algorithms, such as particle swarm optimization (PSO), Coot bird's algorithm (COOT), salp swarm algorithm (SSA), Marin predator algorithm (MPA), and the jellyfish search optimizer (JSO). …”
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Improved Real-Time SPGA Algorithm and Hardware Processing Architecture for Small UAVs by Huan Wang, Yunlong Liu, Yanlei Li, Hang Li, Xuyang Ge, Jihao Xin, Xingdong Liang

“…This paper presents a non-iterative real-time Feature Sub-image Based Stripmap Phase Gradient Autofocus (FSI-SPGA) algorithm. The FSI-SPGA algorithm combines 2D Constant False Alarm Rate (CFAR) for coarse point selection and spatial decorrelation for refined point selection. …”
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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

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Artificial intelligence-driven modeling of biodiesel production from fats, oils, and grease (FOG) with process optimization via particle swarm optimization by Badril Azhar, Muhammad Ikhsan Taipabu, Cries Avian, Karthickeyan Viswanathan, Wei Wu, Raymond Lau

“…A ML model evaluation, using various algorithms, identify XGBoost, Extra Trees, Gradient Boosting, LGBM, and Random Forest demonstrate the best performer for predicting process parameters, achieving an R2 value of nearly to 1. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Compared to Multi-Objective Particle Swarm Optimization （MOPSO） and the Non-Dominated Sorting Genetic Algorithm-II （NSGA-II）， MOMDBA outperformed its counterpart. …”
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Computational Algorithm Based upon Dirichlet Boundary Conditions: Applications to Neutron Holograms by Ignacio Molina de la Peña, Maria L. Calvo, Ramón F. Alvarez-Estrada

“…This approach facilitated the creation of an innovative algorithm distinguished by its computational efficiency and versatility. …”
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Optimization and Validation of Wafer Surface Defect Detection Algorithm Based on RT-DETR by Ao Xu, Yanwei Li, Hongbo Xie, Rui Yang, Jianjie Li, Jiaying Wang

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