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Yudi Setiawan,Lilik Budi Prasetyo,Hidayat Pawitan,Liyantono Liyantono,Syartinilia Syartinilia,Arif Kurnia Wijayanto,Prita Ayu Permatasari,A Hadi Syafrudin,Patria Rachman Hakim
Pág. 67 - 76
Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultu...
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Arben Tërstena, Ismail Mehmeti, Sokol Krasniqi
Pág. 77 - 87
Fiscal policy and foreign trade as a determinant of economic development ? focus KosovoAbstractPurpose: The purpose of this paper is to identify the role of fiscal policy in Kosovo, comparing with the Western Balkan countries, in the trends of economic d...
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Houaria ABED, Lynda ZAOUI
Pág. 97 - 113
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results which are returned by an image search engine contain multiple topics, and organizing the results into different...
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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...
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Xiaohui Yan, Tianqi Zhang, Wenying Du, Qingjia Meng, Xinghan Xu and Xiang Zhao
Water quality prediction, a well-established field with broad implications across various sectors, is thoroughly examined in this comprehensive review. Through an exhaustive analysis of over 170 studies conducted in the last five years, we focus on the a...
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Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ...
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Jinhui Guo, Xiaoli Zhang, Kun Liang and Guoqiang Zhang
In recent years, the emergence of large-scale language models, such as ChatGPT, has presented significant challenges to research on knowledge graphs and knowledge-based reasoning. As a result, the direction of research on knowledge reasoning has shifted....
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Ferhat Karaca, Aidana Tleuken, Rocío Pineda-Martos, Sara Ros Cardoso, Daniil Orel, Rand Askar, Akmaral Agibayeva, Elena Goicolea Güemez, Adriana Salles, Huseyin Atakan Varol and Luis Braganca
Due to its intricate production processes, complex supply chains, and industry-specific characteristics, the construction industry faces unique challenges in adopting circular economy (CE) principles that promote resource equity. To address this issue, t...
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Gang Chen, Weixiang Shi, Lei Yu, Jizhuo Huang, Jiangang Wei and Jun Wang
In recent years, wireless sensors have progressively supplanted conventional limited sensors owing to their attributes of small size, low cost, and high accuracy. Consequently, there has been a growing interest in leveraging wireless sensor networks for ...
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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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