|
|
|
Ji-Woon Lee and Hyun-Soo Kang
The escalating use of security cameras has resulted in a surge in images requiring analysis, a task hindered by the inefficiency and error-prone nature of manual monitoring. In response, this study delves into the domain of anomaly detection in CCTV secu...
ver más
|
|
|
|
|
|
|
Ewa Szafraniec-Siluta, Agnieszka Strzelecka, Roman Ardan and Danuta Zawadzka
The objective of this study was to assess the level of financial security of farms and identify its determinants based on factor analysis. The data used in this research were obtained from the European FADN (Farm Accountancy Data Network). Factor analysi...
ver más
|
|
|
|
|
|
|
Konstantinos Dolaptsis, Xanthoula Eirini Pantazi, Charalampos Paraskevas, Selçuk Arslan, Yücel Tekin, Bere Benjamin Bantchina, Yahya Ulusoy, Kemal Sulhi Gündogdu, Muhammad Qaswar, Danyal Bustan and Abdul Mounem Mouazen
Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop yield and quality, particularly given maize?s sensitivity to soil moisture variations. In the current study, a hybrid Long Short-Term Memory (LSTM) approac...
ver más
|
|
|
|
|
|
|
Polixeni Iliopoulou, Vassilios Krassanakis, Loukas-Moysis Misthos and Christina Theodoridi
Short-term house rentals constitute a growing component of tourist accommodation in several countries and the determination of factors affecting rents is an important consideration in relevant studies. Short-term rentals have shown increasing trends in t...
ver más
|
|
|
|
|
|
|
Alessandro Muolo, Barbara Zagaglia, Alvaro Marucci, Francisco Escrivà Saneugenio, Adele Sateriano and Luca Salvati
To delineate new directions of urban development in a context of demographic shrinkage in Southern Europe, the present study illustrates a comparative analysis of the demographic balance in metropolitan Athens, Greece (1956?2021). The analysis delineates...
ver más
|
|
|
|
|
|
|
Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
ver más
|
|
|
|
|
|
|
Riccardo Camilli, Alessandro Mechelli, Alessandra Stefanoni and Fabrizio Rossi
To date, the studies on managerial loss aversion have produced contradictory findings, making it impossible to: (i) identify the ultimate impact of managerial loss aversion on the value that organisations create for themselves and for their stakeholders,...
ver más
|
|
|
|
|
|
|
Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
ver más
|
|
|
|
|
|
|
Xiaoyi Fu, Zhilian Liu, Xiong Du, Huijun Duan, Wenchao Zhen, Yuechen Zhang, Zhanliang Shi, Mingqi He and Ruiqi Li
Drought stress, a major abiotic stress, significantly affects wheat (Triticum aestivum L.) production globally. To identify genes and metabolic pathways crucial for responding to short-term drought stress, we conducted transcriptomic and metabolomic anal...
ver más
|
|
|
|
|
|
|
Jounghoon Lim, Jinkee Kim and Jong Pal Kim
A system has been developed to remotely, continuously, and quantitatively measure the physiological activity of trees. The developed tree physiological activity monitoring (TPAM) system is equipped with electrical impedance, temperature, and light intens...
ver más
|
|
|
|