An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm by Olympia Roeva, Dafina Zoteva, Gergana Roeva, Maya Ignatova, Velislava Lyubenova

“…To assess its effectiveness, the proposed hybrid algorithm, the EAGA, is evaluated on selected benchmark functions, as well as on a real optimisation process. The EAGA is used to identify parameters in a nonlinear system of differential equations modelling an <i>E. coli</i> fed-batch fermentation process. …”
Get full text

A Smart Testing Model Based on Mining Semantic Relations by Alaa A. Qaffas, Amira M. Idrees, Ayman E. Khedr, Sherif A. Kholeif

Get full text

A high‐performance full swing 1‐bit hybrid full adder cell by Shahbaz Hussain, Mehedi Hasan, Gazal Agrawal, Mohd Hasan

Get full text

Analysis of the springback phenomenon using finite element method by Tan Trung Le Tran, Thien Tich Truong

“…The springback phenomenon is a significant concern in manufacturing processes, particularly in metal component forming, as it directly affects dimensional control and the shape of formed parts. …”
Get full text

Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model by Bai Chaoqin, Yang Zhuoyue

“…Meanwhile, by combining proxy assisted modeling and utilizing proxy models to approximate actual physical processes or performance evaluations, the computational cost is reduced and the optimization process is accelerated. …”
Get full text

Decision Making Control Algorithm for Cogeneration Plants in Operating with the Heat Accumulator Deep Analysis Model by Varis Žentiņš, Dmitrijs Rusovs, Aleksandrs Soročins, Vera Kulakova

“…The role of modern computer systems is growing and greatly influences the optimal production planning process in cogeneration plants, regardless of the installed capacity and in the operation with heat accumulation. …”
Get full text

Deep learning-based text generation for plant phenotyping and precision agriculture by Li Zhu, Long Tang, Shan Ren, Shan Ren

“…The biologically-constrained optimization strategy incorporates prior biological knowledge into the computational process, ensuring predictions are biologically realistic and enhancing trait correlations and structural consistency. …”
Get full text

AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Five ML algorithms—Random Forest, Support Vector Regression, Artificial Neural Network, Decision Tree, and Gaussian Process—were applied and evaluated. Results demonstrated that Random Forest and Decision Tree balanced accuracy with computational efficiency, while the Gaussian Process closely matched analytical results but demanded higher computational resources. …”
Get full text

Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…The computational complexity of airfoil optimization for aircraft wing designs typically involves high-dimensional parameter spaces defined by geometric variables, where each Computational Fluid Dynamics (CFD) simulation cycle may require significant processing resources. …”
Get full text

Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

Get full text

Predicting stress–strain relationships of additively manufactured materials under compression and tension using transfer learning and Wasserstein distance-based dataset pruning by Chenglong Duan, Dazhong Wu

“…However, predicting the stress–strain relationships of additively manufactured materials remains a challenge due to complex process-structure–property relationships in additive manufacturing. …”
Get full text

Impact of Laser Remelting Parameters on the Microstructure and Properties of Sprayed Ni20Cr Coatings with Rhenium Addition by I. Kalemba-Rec, M. Kopyściański, P. Śliwiński, S. Dymek, M.S. Węglowski, A. Wrona, K. Groń

Get full text

New Approaches for the Use of Extended Mock-Ups for the Development of Air Traffic Controller Working Positions by Lennard Nöhren, Lukas Tyburzy, Marco-Michael Temme, Kathleen Muth, Thomas Hofmann, Deike Heßler, Felix Tenberg, Eilert Viet, Michael Wimmer

Get full text

Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label by Sahasat Khumang, Supaporn Kansomkeat, Wiwatana Tanomkiat, Sathit Intajag

Get full text

GDSN-CD: Graph-Guided Diffusion Synergistic Network for Remote Sensing Change Detection by Yunfei Zhu, Jintao Song, Jinjiang Li

Get full text

Substrate Integrated Waveguide on Glass with Vacuum-Filled Tin Through Glass Vias for Millimeter-Wave Applications by Seung-Han Chung, Ho-Sun Yeom, Che-Heung Kim, Yong-Kweon Kim, Seung-Ki Lee, Chang-Wook Baek, Jae-Hyoung Park

Get full text

Fault Diagnosis Method of Plunger Pump Based on Meta-Learning and Improved Multi-Channel Convolutional Neural Network Under Small Sample Condition by Xiwang Yang, Jiancheng Ma, Hongjun Hu, Jinying Huang, Licheng Jing

Get full text

Fusion-Based Deep Learning Approach for Renal Cell Carcinoma Subtype Detection Using Multi-Phasic MRI Data by Gulhan Kilicarslan, Dilber Cetintas, Taner Tuncer, Muhammed Yildirim

Get full text

Conceiving Elements of Divinity: The Use of the Semantic Web for the Definition of Material Religiosity in the Levant During the Second Millennium BCE by Laneri Nicola, Nigro Lorenzo, Miniaci Gianluca, Nicolosi-Asmundo Marianna, Santamaria Daniele Francesco, Pappalardo Chiara

Get full text

Enhancing Heterogeneous Multi-Robot Teaming for Planetary Exploration by Amrita Suresh, Melvin Laux, Wiebke Brinkmann, Leon C. Danter, Frank Kirchner

Get full text