PdYOLO: A Lightweight Algorithm for Detecting Peach Fruits Against a Peach Tree Background by Jiajun Zhang, Jialin Zhang, Kazuki Kobayashi

“…To address these challenges, this study introduces PdYOLO (Peach detection based on YOLOv8s), an innovative peach detection model optimized within the YOLOv8s framework. This model enhances recognition accuracy, reduces algorithm complexity, and satisfies lightweight requirements. …”
Get full text

Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model by Zhigang Ren, Xinagjun Tang, Guoquan Ren, Dinghai Wu

“…Finally, the pose equation is solved by finding the local minimum of the cost function through algebraic optimization, thus avoiding convergence issues in iterative optimization. …”
Get full text

Estimation of the Angles of a Robotic Arm with 7-Free Degrees Using an Improved Hybrid ESSA Algorithm by Inayet Hakki Cizmeci, Adem Alpaslan Altun

“…The electro-search algorithm (ESO) encounters challenges arising from its slow convergence rate and propensity to descend into local optima. …”
Get full text

The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…We analyze the impact of quantum circuit architectures, algorithm hyperparameters, and optimization methods on two VQAs: Variational Quantum Deflation (VQD) and Subspace Search Variational Quantum Eigensolver (SSVQE). …”
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

Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts by Jie Yu, Chunhong Qi

“…Hyperparameter optimization is performed using the Improved Particle Swarm Optimization (IPSO) algorithm to fine-tune the model for efficient sentiment extraction. …”
Get full text

Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

“…The contribution in this paper proposes the following: the radial basis function (RBF) model will be enhanced by using two optimization algorithms, namely Horse Herd Optimization (HHO) and Wild Geese Algorithm (WGA). …”
Get full text

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

“…The analysis results showed that DMISA produced optimal results in lattice, bipartite, and complete multipartite graphs, while it produced generally non-optimal results for randomly generated and social graphs. …”
Get full text

A Prescriptive Approach Based on Fuzzy Cognitive Maps and Genetic Algorithms for Disease Management in Beef Production by Rodrigo Garcia, Jose Aguilar, Angel Pinto, William Hoyos

“…The FCM captures expert knowledge through causal relationships between symptoms, treatments, and diagnoses, while the GA optimizes treatment actions to achieve desired health outcomes. …”
Get full text

Power Line Segmentation Algorithm Based on Lightweight Network and Residue-like Cross-Layer Feature Fusion by Wenqiang Zhu, Huarong Ding, Gujing Han, Wei Wang, Minlong Li, Liang Qin

“…Experimental results demonstrate that compared with classical UNet, the optimized network achieves 2.05% and 2.58% improvements in F1-Score and IoU, respectively, while reducing the parameter count to 57.25% of the original model. …”
Get full text

Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

“…Finally, a post-processing stage is applied to further shorten the total wirelength through fast pruning and local optimization. Experimental results demonstrate that the proposed algorithm achieves better wirelength quality compared to state-of-the-art heuristic algorithms. …”
Get full text

Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Accurate wind energy forecasting is essential for energy planning, trading, and grid optimization. This study presents short-term, medium-term, and long-term –wind power forecasts for the Söke–Çatalbük Wind Power Plant in Aydın, Turkey, using meteorological data and production records from 2018 to 2022. …”
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

“…By utilizing the theoretical foundations of non-cooperative game theory, a novel control strategy is introduced, which allows UAVs to autonomously determine the optimal flight trajectory without relying on centralized coordination while concurrently mitigating conflicts with other UAVs. …”
Get full text

Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…Using five years of Istanbul meteorological data (2018–2022), optimal algorithms were systematically identified for each parameter through rigorous hyperparameter optimization and cross-validation. …”
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

“…This study outlines the development of a machine learning algorithm designed to generate optimized CAD geometries, minimizing geometric deviations in SPIF-formed components. …”
Get full text

Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments by Alberto del Rio, David Jimenez, Javier Serrano

“…DRL algorithms are widely known for their effectiveness in training agents to navigate complex environments and achieve optimal policies. …”
Get full text

Evaluation of Thermal Damage Effect of Forest Fire Based on Multispectral Camera Combined with Dual Annealing Algorithm by Pan Pei, Xiaojian Hao, Ziqi Wu, Rui Jia, Shenxiang Feng, Tong Wei, Wenxiang You, Chenyang Xu, Xining Wang, Yuqian Dong

“…This study introduces an innovative approach combining multispectral imaging with a dual annealing constrained optimization algorithm to enable dynamic monitoring of fire temperature distribution. …”
Get full text

Enhanced Harmony Search Algorithm for Maximum Power Point Tracking Under Partial Shading in PV Systems by Geon Hee Lee, Zong Woo Geem, Jehyuk Won

“…The results show that the proposed algorithm outperforms conventional HS and particle swarm optimization algorithms in terms of the number of iterations and convergence time, while maintaining a similar level of accuracy.…”
Get full text

Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

Get full text

Combining Smartphone Inertial Sensors and Machine Learning Algorithms to Estimate Power Variables in Standing Long Jump by Beatrice De Lazzari, Giuseppe Vannozzi, Valentina Camomilla

Get full text