|
|
|
Aleksy Kwilinski
Pág. 7 - 16
The article establishes that the development of an industrial enterprise in the conditions of the information economy requires an assessment of the competitiveness of the enterprise. To solve this problem, a mechanism for assessing the competitiveness of...
ver más
|
|
|
|
|
|
|
Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
ver más
|
|
|
|
|
|
|
Vasileios Greveniotis, Elisavet Bouloumpasi, Adriana Skendi, Athanasios Korkovelos, Dimitrios Kantas, Stylianos Zotis and Constantinos G. Ipsilandis
Alfalfa (Medicago sativa L.) is used to support livestock. A stability study was carried out over three years. The stability indices for yield and main quality characteristics such as plant height, number of nodes, the yield of green mass and dry matter,...
ver más
|
|
|
|
|
|
|
Lige Ma, Yu Luo, Chen Chen, Huan Luo, Shuqi Wang, Yue Yuan, Wenhua Yang, Can Liu, Xulv Cao and Nannan Li
Oil crops are the second most cultivated economic crop in the world after food crops, and they are an important source of both edible and industrial oil. The growth of oil crops is limited by biotic and abiotic stresses, which hinder their yield and qual...
ver más
|
|
|
|
|
|
|
Haidi Badr, Nayer Wanas and Magda Fayek
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no...
ver más
|
|
|
|
|
|
|
Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut...
ver más
|
|
|
|
|
|
|
Zhenyu Feng, Qianqian You, Kun Chen, Houjin Song and Haoxuan Peng
Evacuation simulation is an important method for studying and evaluating the safety of passenger evacuation, and the key lies in whether it can accurately predict personnel evacuation behavior in different environments. The existing models have good adap...
ver más
|
|
|
|
|
|
|
Ferdinando Branca, Simone Treccarichi, Giuseppe Ruberto, Agatino Renda and Sergio Argento
The choice of basil (Ocimum basilicum L.) genotypes determines key attributes such as yield, flavor, and adaptability, contributing significantly to the overall success and sustainability of basil cultivation practices. As the primary aim of this study, ...
ver más
|
|
|
|
|
|
|
Jinxiong Gao, Xu Geng, Yonghui Zhang and Jingbo Wang
Underwater autonomous path planning is a critical component of intelligent underwater vehicle system design, especially for maritime conservation and monitoring missions. Effective path planning for these robots necessitates considering various constrain...
ver más
|
|
|
|
|
|
|
Liang Liu, Tianbin Li and Chunchi Ma
Three-dimensional (3D) models provide the most intuitive representation of geological conditions. Traditional modeling methods heavily depend on technicians? expertise and lack ease of updating. In this study, we introduce a deep learning-based method fo...
ver más
|
|
|
|