|
|
|
Szymon Kurpiel, Krzysztof Zagórski, Jacek Cieslik, Krzysztof Skrzypkowski and Witold Brostow
The aerospace industry is imposing increasingly strict dimensional tolerances, which is forcing continuous development in component manufacturing. Ensuring tight dimensional tolerances is difficult for thin-walled structures due to their reduced stiffnes...
ver más
|
|
|
|
|
|
|
Raquel Ibarra, Darío Bolaños-Guerrón and Luis Cumbal-Flores
This study evaluates the pollution of the Machángara River basin in Ecuador. For the assessment, water samples were pumped from the river for 1 to 4 h, with a representative water sample of 4 L collected. In the site and laboratory, the physicochemical p...
ver más
|
|
|
|
|
|
|
Gëzim Hoxha, Arjanit Fandaj and Xhevahir Bajrami
This paper presents research on the collection, analysis, and evaluation of the fundamental data needed for road traffic systems. The basis for the research, analysis, planning and projections for traffic systems are traffic counts and data collection re...
ver más
|
|
|
|
|
|
|
Du?an Dunderski, Goran Jacimovic, Jovan Crnobarac, Jelena Viskovic and Dragana Latkovic
In this study, we aimed to evaluate the feasibility of digital image analysis (DIA) as a substitute for standard analysis (SA) in assessing corn ear traits in agrotechnical field trials. Accurate and timely prediction of corn yield through corn ear trait...
ver más
|
|
|
|
|
|
|
Miguel Ángel Gómez Ruiz, Iván Martín de Almeida and Rodrigo Pérez Fernández
The maritime industry is displaying notable interest in the adoption of cutting-edge technologies within the scope of Industry 4.0, aiming to digitalize both companies and processes. At the core of data science lies machine learning, which serves as the ...
ver más
|
|
|
|
|
|
|
Li Long, Huaping Yang, Yan Zhou and Yong Yang
To improve the seismic connectivity reliability (SCR) analysis efficiency of water distribution systems (WDS) based on Monte Carlo (MC) simulation, the quasi-Monte Carlo (QMC) method sampled by a low-discrepancy sequence is applied. Furthermore, a parall...
ver más
|
|
|
|
|
|
|
Eleonora Ortu, Sara Di Nicolantonio, Alessandra Mummolo, Ruggero Cattaneo, Davide Pietropaoli and Annalisa Monaco
Introduction: The traditional diagnosis of functional lateral deviation is based on a clinical evaluation and dental casts, supported by an instrumental analysis through X-rays; however, these diagnostic techniques do not provide any information about th...
ver más
|
|
|
|
|
|
|
Yubo Zheng, Yingying Luo, Hengyi Shao, Lin Zhang and Lei Li
Contrastive learning, as an unsupervised technique, has emerged as a prominent method in time series representation learning tasks, serving as a viable solution to the scarcity of annotated data. However, the application of data augmentation methods duri...
ver más
|
|
|
|
|
|
|
Irina Makarova, Polina Buyvol, Larisa Gabsalikhova, Eduard Belyaev and Eduard Mukhametdinov
This article is devoted to the problem of determining the rational amount of spare parts in the warehouse of a service center of an automobile manufacturer?s branded network used for maintenance and current repairs. This problem was solved on the basis o...
ver más
|
|
|
|
|
|
|
Fadi Nessir Zghoul, Haneen Alteehi and Ahmad Abuelrub
This paper presents a novel approach to designing a CMOS inverter using the Mayfly Optimization Algorithm (MA). The MA is utilized in this paper to obtain symmetrical switching of the inverter, which is crucial in many digital electronic circuits. The MA...
ver más
|
|
|
|