Phase Retrieval of One-Dimensional Objects by the Multiple-Plane Gerchberg–Saxton Algorithm Implemented into a Digital Signal Processor by Varis Karitans, Maris Ozolinsh, Sergejs Fomins

“…After subtracting the vectors retrieved by the algorithm from those measured with the profiler, the root mean square error decreased, while a corresponding increase in the Strehl ratio was observed. …”
Get full text

A Lightweight and Small Sample Bearing Fault Diagnosis Algorithm Based on Probabilistic Decoupling Knowledge Distillation and Meta-Learning by Hao Luo, Tongli Ren, Ying Zhang, Li Zhang

“…Thus, developing a lightweight and suitable fault diagnosis algorithm for small samples is particularly crucial. …”
Get full text

Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…The focus is on maximizing the monitored area while minimizing energy usage. A Scalable coverage-based particle swarm optimization (SCPSO) algorithm integrates a probabilistic coverage model based on Euclidean distance to detect coverage gaps and guide the optimal positioning of nodes, ensuring that each target within the region of interest is covered by at least one sensor. …”
Get full text

MPPT Efficiency in PV Arrays under Partial Shading Conditions:A Comparative Analysis of PSO and P&O Algorithms by Rachid Bennia, Cherif Larbes, Faiza Belhachat

“…Partial shading (PS) emerges as a particularly critical factor, significantly compromising overall system efficiency by inducing multiple local maxima in the Power-Voltage (P-V) characteristic curve. While conventional tracking algorithms demonstrate adequate performance under uniform irradiation conditions, their effectiveness diminishes substantially under Partial Shading Conditions (PSCs), where they frequently converge to local power peaks rather than the true Global Maximum Power Point (GMPP). …”
Get full text

Design and Optimization of Hybrid CNN-DT Model-Based Network Intrusion Detection Algorithm Using Deep Reinforcement Learning by Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng, Jiahui Su

“…In the CNN-DT algorithm, CNN extracts high-level features from data packets first, then the decision tree quickly determines the presence of intrusions based on these high-level features, while providing a clear decision path. …”
Get full text

Ultrashort wave satellite channel classification and recognition algorithm based on mirror filled spectrum and LA-ResNet50 by Shang WU, Lei SHEN, Lijun WANG, Ruxu ZHANG, Xin HU

Get full text

Frequency Regulation for High Wind Penetration Power System Based on Ocean Predator Algorithm Considering Storage Battery State by Yingjie Hu, Chenggen Wang, Xiaoming Zou

“…Finally, the different control strategies are compared and analysed by MATLAB 2018b/Simulink under different loads and wind speeds, and their effectiveness is verified by the frequency offset and state of charge offset, so as to optimise the effect of frequency modulation while maintaining the state of charge of energy storage.…”
Get full text

Energy-Efficient DC Power Traction Network Systems for Urban Mass Transportation: A Comparative Study of Optimization Algorithms by Dongxian Yu, Zhixin Wu, Lei Wang, Zaihui Cao, Hamdolah Aliev

“…This paper addresses the optimal design and simulation of a direct current (DC) power-pulling network system (PTNS) for metro systems, to minimize costs and energy consumption while ensuring adequate power supply capacity (PSC). …”
Get full text

Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI by Myung-Joo Park, Hyo-Sik Yang

“…This paper compares four time series forecasting algorithms—ARIMA, SARIMA, LSTM, and SVM—suitable for short-term load forecasting using Advanced Metering Infrastructure (AMI) data. …”
Get full text

Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

“…The results show that when compared with the original unimproved algorithm, the improved algorithm not only improves the image brightness, but also provides higher color richness and no color distortion, while improving the standard deviation by an average of 20.01%, reducing the natural image quality evaluation by 9.16%, and improving the average gradient and information entropy by 23.68% and 6.46% respectively.ConclusionThe improved algorithm represents a breakthrough in image visual quality, enabling the better enhancement of maritime low-light images in different environments.…”
Get full text

Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

Get full text

Slim-YOLO: An Improved Sugarcane Tail Tip Recognition Algorithm Based on YOLO11n for Complex Field Environments by Chunming Wen, Yang Cheng, Shangping Li, Leilei Liu, Qingquan Liang, Kaihua Li, Youzong Huang

“…This paper proposes Slim-YOLO, an improved YOLO11n-based algorithm incorporating a lightweight RepViT backbone, an ELANSlimNeck neck structure, and the Unified-IoU (UIoU) loss function. …”
Get full text

On virtual-force algorithms for coverage-optimal node deployment in mobile sensor networks via the two-dimensional Yukawa crystal by Rongxin Tang, Xin Qian, Xiangyu Yu

“…As theoretical proof has shown that a hexagonal topology can obtain maximal coverage with a fixed number of sensor nodes, node deployment for mobile sensor networks has the objective of forming a hexagonal network topology while consuming minimum energy. Using virtual-force algorithms to move initially randomly distributed nodes into a target topology is one of the widely studied methods for achieving this goal. …”
Get full text

RGB IMAGE BINARY DECOMPOSITION BASED ARABIC AND ENGLISH TEXTS HIDING ALGORITHM WITH 16 CHARACTERS FORMING VIGENERE KEY by Huda Hussein Abed, Salim Muhsin Wadi, Aqeel Sajjad Shaeel

“…In this paper, a secure hiding algorithm for protecting the secret texts either Arabic or English based on RGB image binary decomposition with 16 characters forming the Vigenere key is proposed. …”
Get full text

Optimal AC Power Flow with Energy Storage and Renewable Energy: An Efficient RL Algorithm Capable of Handling Equality Constraints by Mingde Liu, Jianquan Zhu, Mingbo Liu

“…However, in solving this OPF problem, model-based methods cannot accurately model uncertain scenarios, while traditional RL methods cannot satisfy the constraints well, and both methods have limitations. …”
Get full text

6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…Finally, the PnP algorithm is applied to calculate the 6D pose. Experiments conducted on the public LINEMOD dataset show that our method significantly outperforms the original YOLOv5-6D method in terms of the 2D reprojection, 5cm5degree, and ADD metrics. …”
Get full text

A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions by Yan Wang, Ruizhi Zhang, Ying Wang, Wen Xiang, Lu Wang

“…For the actual operation of the decentralized resources in the alpine virtual power plant, we determined the power provided by the alpine virtual power plant to the electric power system as well as the adjustable power capacity and other scheduling parameters, and then designed the dispatch model objective with the decentralized resource power and scheduling parameters based on the imitator dynamic algorithm. The model incorporates constraints based on these parameters to enable effective aggregation of adjustable power ranges for both individual resources and the entire virtual power plant, while ensuring compliance with all power constraints. …”
Get full text

A genetic algorithm-based solution for multi-type maximal covering location problem (MMCLP): application to defense and deterrence by J.D. Lessan, Geoff Pond

“…Due to the complexity of the MIP formulation, we propose a hybrid metaheuristic solution approach, for which a genetic algorithm (GA) is proposed and integrated with local and large neighborhood search operators. …”
Get full text

Enhancing UAV Security Against GPS Spoofing Attacks Through a Genetic Algorithm-Driven Deep Learning Framework by Abdallah Al-Sabbagh, Aya El-Bokhary, Sana El-Koussa, Abdulrahman Jaber, Mahmoud Elkhodr

“…This paper presents an enhanced integration of Long Short-Term Memory (LSTM) networks with a Genetic Algorithm (GA) for GPS spoofing detection. Although GA–neural network combinations have existed for decades, our method expands the GA’s search space to optimize a wider range of hyperparameters, thereby improving adaptability in dynamic operational scenarios. …”
Get full text

Stock portfolio optimization using hill climbing and simple human learning optimization algorithms as a decision support system by Suyash S. Satpute, Amol C. Adamuthe, Pooja Bagane

“…Portfolio optimization involves constructing a portfolio that maximizes returns while minimizing risk. The novelty in methodology is ‘hybridizing’ nature-inspired algorithms for optimized portfolio selection with two independent modules: intrinsic value of stocks and financial health analysis. …”
Get full text