A5002745497- Metaheuristic Optimization Algorithms Research
- Advanced Image Fusion Techniques
- Traffic control and management
- Innovation Policy and R&D
- Robotic Path Planning Algorithms
- Tribology and Lubrication Engineering
- Plant Surface Properties and Treatments
- Economic Development and Digital Transformation
- Machine Learning and Data Classification
- Magnetic Bearings and Levitation Dynamics
- Economic and Technological Developments in Russia
- Advanced Multi-Objective Optimization Algorithms
- Vibration and Dynamic Analysis
- Extremum Seeking Control Systems
- Image Enhancement Techniques
- Remote-Sensing Image Classification
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
King Saud University
2019-2025
St Petersburg University
2022
For machine learning algorithms, fine-tuning hyperparameters is a computational challenge due to the large size of problem space. An efficient strategy for adjusting can be established with use greedy search and Swarm intelligence algorithms. The Random Search Grid optimization techniques show promise efficiency this task. small population solutions used at outset, costly goal functions by these searches, lead slow convergence or execution time in some cases. In research, we propose using...
This study introduces a decentralized control framework designed to improve energy efficiency in vehicle platooning by optimizing inter-vehicle gaps minimize aerodynamic drag, significant factor consumption. The proposed integrates extremum seeking (ESC), proportional integral derivative controller with feedforward compensation (PIDFC), and an extended state observer for estimating drag coefficients. Through this integration, the ESC dynamically adjusts force based on estimated coefficients,...
This research paper presents novel condensed CNN architecture for the recognition of multispectral images, which has been developed to address lack attention paid neural network designs and hyperspectral photography in comparison RGB photographs. The proposed is able recognize 10-band images fewer parameters than popular deep designs, such as ResNet DenseNet, thanks recent advancements more efficient smaller CNNs. trained from scratch, it outperforms a comparable that was on terms accuracy...
This article aims to explore the oscillatory characteristics of a controlled asymmetric rotor system when subjected rub and impact forces between stator. Four electromagnetic poles are used control whirling motion through linear proportional‐derivative law. The equations that govern whole dynamics derived including forces. mathematical model is analyzed in two basic steps. Firstly, obtained treated as weakly nonlinear using perturbation analysis obtain slow‐flow modulating neglecting...
In this paper, the problem of optimal coverage an area using a swarm Unmanned Aerial Vehicles (UAVs) for aerial surveillance purposes is presented. Each UAV equipped with downwards facing camera. A recursive online optimization algorithm has been developed to find minimum number UAVs alongside their location while maximizing coverage-quality criterion and percentage covered surveilled area. Finally, simulation done on convex region interest about 0.5 kilometer square. The numerical results...
This article studies the relationship between credit constraints on Russian enterprises and their decision to introduce product innovation, process spend research development (R&D). The evidence regarding R&D spending remains somewhat ambiguous could differ countries. A cross-sectional macro dataset of World Bank Enterprises Survey in Russia 2019 is used a system seemingly unrelated regressions. results show that existence associated with lower probability introducing innovations activities....