Enhancing Multispectral Breast Imaging Quality Through Frame Accumulation and Hybrid GA-CPSO Registration DOI Creative Commons

Tsabeeh Salah M. Mahmoud,

Adnan Munawar, Muhammad Nawaz

и другие.

Bioengineering, Год журнала: 2024, Номер 11(12), С. 1281 - 1281

Опубликована: Дек. 17, 2024

Multispectral transmission imaging has emerged as a promising technique for breast tissue with high resolution. However, the method encounters challenges such low grayscale, noisy images weak signals, primarily due to strong absorption and scattering of light in tissue. A common approach improve signal-to-noise ratio (SNR) overall image quality is frame accumulation. factors camera jitter respiratory motion during acquisition can cause misalignment, degrading accumulated image. To address these issues, this study proposes novel registration method. hybrid combining genetic algorithm (GA) constriction factor-based particle swarm optimization (CPSO), referred GA-CPSO, applied before The efficiency enhanced by incorporating squared factor (SCF), which speeds up process improves convergence towards optimal solutions. GA identifies potential solutions, are then refined CPSO expedite convergence. This methodology was validated on sequence frames taken at 600 nm, 620 670 760 nm wavelength proved enhancement accuracy various mathematical assessments. It demonstrated (99.93%) reduced time. As result, GA-CPSO significantly effectiveness accumulation enhances quality. explored groundwork precise multispectral segmentation classification.

Язык: Английский

Parameter optimization calibration of low-pressure fuel cell energy system based on adaptive response surface algorithm DOI
Bo Zhang, Fengxiang Chen,

Shuang Zhai

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2025, Номер 75, С. 104206 - 104206

Опубликована: Фев. 7, 2025

Язык: Английский

Процитировано

0
Comparative Study of White Shark Optimization and Combined Meta-Heuristic Algorithm for Enhanced MPPT in Photovoltaic Systems DOI Creative Commons

Fajar Kurnia Al Farisi,

Zhi-Kai Fan, Kuo Lung Lian

и другие.

Energies, Год журнала: 2025, Номер 18(8), С. 2110 - 2110

Опубликована: Апрель 19, 2025

This paper proposes a novel hybrid metaheuristic algorithm (MHA) for maximum power point tracking (MPPT), integrating particle swarm optimization (PSO), the differential evolution (DEA), and grey wolf optimizer (GWO). The proposed method is inspired by structural phases of white shark (WSO), recently introduced MHA. study evaluates MPPT performance WSO compares it with approach to provide insights into optimal selection. key contributions include an in-depth analysis framework, benchmarking its against model. Both algorithms are implemented in system assessed based on speed, accuracy, adaptability. results indicate that achieves faster convergence due biologically design, whereas model, despite requiring additional coordination time, ensures comprehensive search space exploration. Notably, excels dynamic efficiency, which crucial accurately following time-varying P-V curves. underscores trade-off between speed demonstrating while advantageous rapid tracking, enhances overall under conditions. These findings offer valuable optimizing strategies renewable energy systems.

Язык: Английский

Процитировано

0
Real-Time Ultra Short-Term Irradiance Forecasting Using a Novel R-GRU Model for Optimizing PV Controller Dynamics DOI Creative Commons
N. B. Sushmi,

D. Subbulekshmi

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105046 - 105046

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
A Kepler optimization algorithm improved using a novel Lévy-Normal mechanism for optimal parameters selection of proton exchange membrane fuel cells: A comparative study DOI Creative Commons
Mohamed Abdel‐Basset, Reda Mohamed, Karam M. Sallam

и другие.

Energy Reports, Год журнала: 2024, Номер 11, С. 6109 - 6125

Опубликована: Июнь 1, 2024

Proton exchange membrane fuel cells (PEMFCs) are considered a promising renewable energy source and have sparked lot of interest over the last few years due to their robust efficiency, low operating temperature, longevity. The PEMFC's electrochemical model has seven unknown parameters, which not given in manufacturer's datasheets need be accurately estimated present more accurate model, leading improved efficiency performance PEMFC systems. estimation those parameters been dealt with as complex non-linear optimization problem that needs powerful algorithm solve it. existing algorithms still some disadvantages, such falling into local minima convergence speed, make them ineligible this complicated acceptable accuracy computational cost. Therefore, study presents new parameter technique for estimating accurately, thereby achieving precise modeling PEMFCs. This called IKOA is based on integrating Kepler (KOA) novel Lévy-Normal (LN) mechanism strengthen its exploration exploitation capabilities against multimodal problem. Lévy flight aims improve KOA's operator accelerate speed toward near-optimal solution, thus minimizing cost; meanwhile, normal distribution used operator, aiding escape minima. proposed KOA herein evaluated several rival using six well-known commercial stacks highlight effectiveness. Key metrics cost, fitness measures, statistical validation through Wilcoxon rank-sum test IKOA's effective enhancing predictive operational numerical findings show high superiority all optimizers solved benchmarks.

Язык: Английский

Процитировано

3
A Novel EPSO Algorithm Based on Shifted Sigmoid Function Parameters for Maximizing the Energy Yield from Photovoltaic Arrays: An Experimental Investigation DOI Creative Commons
Qays Adnan Ali, Mohamed Mohamed Elsakka, Nikolay Korovkin

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 102967 - 102967

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3
Hybrid Sine Cosine and Particle Swarm Optimization Algorithm for High-Dimensional Global Optimization Problem and Its Application DOI Creative Commons
Huimin Wang, Yuelin Gao,

Yahua He

и другие.

Mathematics, Год журнала: 2024, Номер 12(7), С. 965 - 965

Опубликована: Март 24, 2024

Particle Swarm Optimization (PSO) is facing more challenges in solving high-dimensional global optimization problems. In order to overcome this difficulty, paper proposes a novel PSO variant of the hybrid Sine Cosine Algorithm (SCA) strategy, named Velocity Four (VFSCPSO). The introduction SCA strategy velocity formulation ensures that optimal solution found accurately. It increases flexibility PSO. A series experiments are conducted on CEC2005 test suite with compositional algorithms, algorithmic variants, and good intelligent algorithms. experimental results show algorithm effectively improves overall performance algorithms; Friedman proves has competitiveness. also performs better PID parameter tuning. Therefore, VFSCPSO able solve problems way.

Язык: Английский

Процитировано

2
Fuel cell parameter analysis and constraint optimization based on Nelder-Mead simplex algorithm considering performance degradation DOI
Bo Zhang, Fengxiang Chen, Jieran Jiao

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 69, С. 1548 - 1564

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

2
Placement Optimization and Power Management in a Multiuser Wireless Communication System With Reconfigurable Intelligent Surfaces DOI Creative Commons
Adel Khaled, Ahmed S. Alwakeel,

Abdullah M. Shaheen

и другие.

IEEE Open Journal of the Communications Society, Год журнала: 2024, Номер 5, С. 4186 - 4206

Опубликована: Янв. 1, 2024

Employing Reconfigurable Intelligent Surface (RIS) is an advanced strategy to enhance the efficiency of wireless communication systems. However, number and positions RISs elements are still challenging require a smart optimization framework. This paper aims optimize subject technical limitations average achievable data rate with consideration practical overlapping between associated multi-RISs in In this regard, Differential evolution optimizer (DEO) algorithm created minimize RIS devices be installed. Accordingly, number, positions, phase shift matrix coefficients then jointly optimized using intended DEO. Also, it contrasted several recent algorithms, including Particle swarm (PSO), Gradient-based (GBO), Growth (GO), Seahorse (SHO). The outcomes from simulation demonstrate high proposed DEO GO obtaining 100% feasibility for finding minimum under different threshold values rates. PSO scores comparable result 99.09%, while SHO GBO attain poor rates 66.36% 53.94%, respectively. Nevertheless, excellence becomes evident through having lowest when compared other algorithms. Numerically, drives improvements by 5.13%, 15.68%, 30.58%, 51.01% GO, PSO, GBO,

Язык: Английский

Процитировано

2
Advanced MPPT Control Algorithms: A Comparative Analysis of Conventional and Intelligent Techniques with Challenges DOI Creative Commons

Vaishnavi Chandra Tella,

Boker Agili,

Mioa He

и другие.

European Journal of Electrical Engineering and Computer Science, Год журнала: 2024, Номер 8(4), С. 6 - 20

Опубликована: Июль 17, 2024

Photovoltaic systems can be used for both off-grid and grid-connected applications. Solar use a smart technology called Maximum Power Point Tracker (MPPT) to squeeze the most power possible out of sun. MPPT works by constantly fine-tuning voltage from solar panels using special component (DC-DC converter) ensure they operate at their peak efficiency This project offers new analysis along with basic ways it responds changing conditions. It examines how different DC-DC converter designs work algorithms under various environmental factors. The emphasizes importance choosing right controller maximum production your system. compares traditional topologies commonly found in energy systems. also includes technical comparison these approaches, focusing on factors like specific design elements, quickly system tracks changes output (tracking speed), overall efficiency.

Язык: Английский

Процитировано

2
Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system DOI
Yusuf Karabacak

Journal of Innovative Engineering and Natural Science, Год журнала: 2024, Номер 4(2), С. 514 - 529

Опубликована: Май 31, 2024

Because of the Magnetic Levitation System's (MLS) low energy consumption and little friction two factors that are deemed crucial for unstable nonlinear systems MLS research is now being conducted in engineering area. This article discusses comparison performance control theories used by applying advanced to cope with complexity structure controllability difficulties MLS. The methods compared Proportional–Integral–Derivative (PID) Self-Tuning Fuzzy PID (STFPID) methods. These were developed MATLAB environment. model created environment was subjected suggested methods, outcomes compared. unequivocally demonstrate location may make use STFPID techniques. Four criteria compare approaches performances. criteria; rise time, settling percent maximum overshoot value. It clearly seen results method provides greater stability than method.

Язык: Английский

Процитировано

0