Results 121 to 130 of about 81,531 (237)
A NEW PARTICLE SWARM OPTIMIZATION METHOD FOR THE PATH PLANNING OF UAV IN 3D ENVIRONMENT
Havacılık ve Uzay Teknolojileri Dergisi, 2012 Particle swarm optimization (PSO) method is relatively a new population-based intelligence algorithm and exhibits good performance in optimization problems.
Yasin Volkan Pehlivanoğlu
doaj
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. [PDF]
Sensors (Basel), 2020 Band SS +6 more
europepmc +1 more source
Allergy, EarlyView.ABSTRACT In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic inflammatory diseases towards unprecedented target specificity. For allergic and chronic lung diseases, biologic drugs pioneered this goal, acquiring on the way—through the clinical use of monoclonal ...
F. Roth‐Walter +20 more
wiley +1 more source
Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM
Jixie chuandong, 2015 Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal ...
Li Sha +3 more
doaj
Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
ModellingParticle Swarm Optimization (PSO) is a widespread evolutionary technique that has successfully solved diverse optimization problems across various application fields.
Oussama Aoun
doaj +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Advanced Science, Volume 13, Issue 25, 4 May 2026.A large‐aperture, high focusing efficiency and polarization‐independent THz single‐layer achromatic metalens is reported via discrete multi‐wavelength achromatic design and global optimization algorithm. The fabricated metalens exhibits a largest diameter of 2.21 cm, excellent achromatic performance, extremely high average focusing efficiency (> 46 ...
Xiaoqiang Jiang +7 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.Microwave coagulation therapy achieves lesion treatment through thermal effects (tissue heating coagulation) and nonthermal effects (cell activity regulation). ABSTRACT Microwave ablation (MWA) has become an increasingly important minimally invasive treatment option for pulmonary lesions, though its clinical performance remains limited by tissue ...
Yiheng Li +5 more
wiley +1 more source