Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm by Jie Cao, Cuicui Zhang, Ping Qi, Kekun Hu

“…Simulation results demonstrate that the proposed virtual machine allocation algorithm improves service utility by more than 20% compared to other virtual machine allocation algorithms, significantly enhancing service utility in edge cloud environments while maintaining robust QoS guarantees.…”
Get full text

Development of a machine learning algorithm for geometric compensation of Single Point Incremental Forming (SPIF) process by Gralha Margarida F., Magrinho João P. G., Sousa João M. C., Silva M. Beatriz

“…The algorithm's performance will be validated through the production of fixed and variable-angled cones and pyramids using AW6082-O aluminium sheets. …”
Get full text

An Improved Satellite ISAL Imaging Vibration Phase Compensation Algorithm Based on Prior Information and Adaptive Windowing by Chenxuan Duan, Hongyuan Liu, Xiaona Wu, Jian Tang, Zhejun Feng, Changqing Cao

“…Compared to conventional algorithms, this algorithm utilizes prior information to improve estimation accuracy while significantly reducing computational complexity. …”
Get full text

Underwater Acoustic Communication by a Single-Vector Sensor: Performance Comparison Using Three Different Algorithms by Long-xiang Guo, Xiao Han, Jing-wei Yin, Xue-song Yu

“…The three algorithms are P-DFE, B-DFE, and T-DFE, respectively. …”
Get full text

A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking by Knud Thomsen

“…A topical challenge for algorithms in general and for automatic image categorization and generation in particular is presented in the form of a drawing for AI to “understand”. …”
Get full text

A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction by Rakibul Islam, Azrin Sultana, MD. Nuruzzaman Tuhin

“…The model proposed in this study achieved the best level of accuracy while employing the ETC with the TPE approach, with a recorded accuracy of 95.8%.…”
Get full text

Identification Algorithm for Inner Surface of Bowl shaped Broken Pieces Based on Point Cloud Proportion and Smoothness by SUN Jin, DING Yu, WANG Ning, XI Juntong, ZHU Xinglong

“…The bowlshaped broken pieces reassembly algorithm based on the inner surface characteristics can effectively avoid the over segmentation problem caused by the fracture surface, while the difficulty lies in the accurate extraction of inner surface Therefore, an identification algorithm for inner surface of bowlshaped broken pieces based on point cloud proportion and smoothness is proposed Firstly, the surface of bowlshaped broken pieces is divided into fracture surface, bottom surface, original surface, inner surface and outer surface based on the region growing algorithm And then, according to the significant difference of point cloud proportion, the inner surface and outer surface are identified from the segmented surface group Finally, the inner surface is extracted by the smoothness value The experimental results show that this algorithm can accurately extract the inner surface of bowlshaped broken pieces and has a higher calculation speed than other algorithm…”
Get full text

Fractional Order PID Controller Based‐Neural Network Algorithm for LFC in Multi‐Area Power Systems by Ali M. El‐Rifaie, Slim Abid, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Traditional PID controllers, while widely utilized, struggle to address the rapid fluctuations and uncertainties inherent in contemporary multi‐area interconnected power systems (MAIPS). …”
Get full text

Research on the construction of English vocabulary learning recommendation system based on multi-objective crow search algorithm by Mengli Li

“…Regarding the experiments, we compared MOCSO with traditional single - objective optimization algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). 56.4 % of users believe that the recommended vocabulary content meets their deep learning needs, while 18.2 % of learners hope that the system can further improve the practical application ability of vocabulary. …”
Get full text

Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…We independently apply three predictive models: the traditional BP (Backpropagation) neural network, an improved GA-BP(genetic algorithm–backpropagation) neural network, and the XGBoost (Extreme Gradient Boosting) ensemble learning method. …”
Get full text

Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Abstract This study investigates the role of symbolic content, including social, cultural, and political imagery, in shaping algorithmic biases within YouTube’s recommendation system, using the 2024 Taiwanese presidential election as a case study. …”
Get full text

ACIVY: An Enhanced IVY Optimization Algorithm with Adaptive Cross Strategies for Complex Engineering Design and UAV Navigation by Heming Jia, Mahmoud Abdel-salam, Gang Hu

“…While the original Ivy Optimization Algorithm (IVYA) demonstrates a competitive performance, it suffers from limited inter-individual information exchange, inadequate directional guidance for local optima escape, and abrupt exploration–exploitation transitions. …”
Get full text

OiSAM-FGO: an efficient factor graph optimization algorithm for GNSS/INS integrated navigation system by Zhichao Yang, Xiangjie Ding, Ying Yang, Qi Wang

“…Abstract In recent years, the Factor Graph Optimization (FGO) algorithm has gained a great attention in the field of integrated navigation owing to its better positioning performance than the traditional filter-based approaches. …”
Get full text

A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa by Joshua Ebere Chukwuere, Tlhalitshi Volition Montshiwa

“…Overall, this study establishes a contribution to understanding the ML algorithms for detecting false news in Africa and allows for a conceptual base for future studies.…”
Get full text

Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems by Lhassane Idoumghar, Mahmoud Melkemi, René Schott, Maha Idrissi Aouad

“…To avoid premature convergence of PSO, we present a new hybrid evolutionary algorithm, called HPSO-SA, based on the idea that PSO ensures fast convergence, while SA brings the search out of local optima because of its strong local-search ability. …”
Get full text

IoT-enhanced music therapy: Utilizing genetic algorithms for personalized violin instruction and mental health adjustment by Yuan Wang

“…Different forms of technology can readily be incorporated into the practice, improving the teaching techniques while increasing the learner’s results. This research aims to explore students’ capacity to change their mental health, especially in violin teaching at a professional level. …”
Get full text

A greedy approach to solve maximum independent set problem: Differential Malatya independent set algorithm by Furkan Öztemiz

“…The DMISA algorithm consists of two sub-algorithms. The first algorithm is the Differential Malatya Centrality Algorithm (DMCA), a centrality algorithm that calculates centrality values, providing prioritization in the selection of independent members. …”
Get full text

A Cooperative Decision-Making and Control Algorithm for UAV Formation Based on Non-Cooperative Game Theory by Yongkang Jiao, Wenxing Fu, Xinying Cao, Kunhu Kou, Ji Tang, Rusong Shen, Yiyang Zhang, Haibo Du

“…Through the development and validation of a Nash equilibrium-based algorithm, it is demonstrated that UAVs can sustain a predefined formation flight and autonomously adapt their trajectories in complex environments. …”
Get full text

Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…A fundamental challenge in reliability-based geotechnical design is optimizing cost-effectiveness while adhering to a predefined failure probability target. …”
Get full text

Comparative Study of White Shark Optimization and Combined Meta-Heuristic Algorithm for Enhanced MPPT in Photovoltaic Systems by Fajar Kurnia Al Farisi, Zhi-Kai Fan, Kuo-Lung Lian

“…This paper proposes a novel hybrid metaheuristic algorithm (MHA) for maximum power point tracking (MPPT), integrating particle swarm optimization (PSO), the differential evolution algorithm (DEA), and the grey wolf optimizer (GWO). …”
Get full text