LISNIC, Dorin; BOSTAN, Viorel; ROTARU, Lilia; CARBUNE, Viorel; KAPUSTEANSKI, Maxim; SEINIC, Valeriu(Institute of Electrical and Electronics Engineers, 2025)
This study introduces a deep learning-based system for detecting plant diseases using multispectral image analysis and convolutional neural networks trained on the PlantVillage repository and other datasets, including those ...
CRECIUNEL, Catalin; CECHIN, Catalin; CIOBANU, Vladimir; MONAICO, Eduard V.(Institute of Electrical and Electronics Engineers, 2025)
Many laboratory instruments, such as the Keithley 2400 SourceMeter, still rely on the aging GPIB interface for communication. Traditional GPIB-to-USB converters are expensive and often require proprietary software for ...
BOLUN, Ion; NASTAS, Vasile(Institute of Electrical and Electronics Engineers, 2025)
The multitude and the implementation costs of mobile applications implies the need of rational their selection by beneficiaries. Intuitively selecting them is not always a good choice. This paper addresses aspects of argued ...
LEAHU, Alexei; ROTARU, Maria; CIORBĂ, Dumitru; FIODOROV, Ion(Institute of Electrical and Electronics Engineers, 2025)
In the current work, two new dynamic models were introduced that target the serial-parallel and parallel-serial type networks for which the lifetimes of the units are geometrically distributed random variables. Calculation ...
TÎRȘU, Valentina; SAVA, Lilia; NISTIRIUK, Pavel; MIROVSKI, Vladimir(Institute of Electrical and Electronics Engineers, 2025)
This article analyzes the impact of artificial intelligence (AI) on engineering education management and identifies the necessary strategies for the sustainable integration of this technology into the educational process. ...
URECHE, Traian-Cristian; POPOVIĆI, Eduard-Cristian; HALUNGA, Simona; BOICESCU, Laurentiu; ȚURCANU, Dinu; AVASILOAIE, Andra Paula(Institute of Electrical and Electronics Engineers, 2025)
Cyber threats in smart infrastructure, including industrial IoT, healthcare systems, and cloud-edge environments, have evolved and call for smart security systems combining artificial intelligence microservices with ...
The current paper is dedicated to some space missions developed at the Space Technologies Center of the Technical University of Moldova in cooperation with various partners. These original and innovative missions consist ...
The work aims to continue previous studies on the integrated sensor network with the aim of developing, assembling and testing a prototype of a wireless sensor network (WNS) and, in particular, the network configuration ...
Historically, the origin of the term orthognathic surgery which initially referred solely to surgical procedures involving the mandible can be traced back to the mid-19th century in the United States. This historical ...
Mortality among COVID-19 patients hospitalized in intensive care units (ICU) remains a major topic of interest. The evaluation of biochemical markers can provide valuable predictive information for the prognosis of these ...
Advancements in artificial intelligence (AI) continue to drive innovation across industry, society, and the economy, including the healthcare sector. Since the initial adoption of AI technologies, healthcare providers have ...
Protecting patient confidentiality in rare disease research presents unique challenges due to small population sizes and the increased risk of re-identification through quasi-identifiers. This study presents a comparative ...
Recent advances in tissue engineering and regenerative medicine have developed innovative methods in skin regeneration, in skin wounds, where standard approaches are limited. The aim of the study is to explore the integration ...
Accurately characterizing the structure and variability of microbial pangenomes is essential for understanding genome evolution, adaptation, and functional diversity. Traditional descriptive measures such as genomic fluidity ...
Sepsis remains a critical challenge in intensive care, demanding rapid and accurate decision-making to optimize patient outcomes. This study evaluates a multi-agent system designed to support sepsis management by integrating ...
Monitoring fetal oxygen delivery during pregnancy, especially labor and delivery, is challenging due to limited real-time data. This paper presents a hybrid model combining agent-based and system dynamics modeling to ...
A theoretical model explaining the evolution of two cancer centers through the concentration of T-lymphocytes is presented. The model explores how variations in T-lymphocyte parameters and cellular diffusion rates affect ...
Dento-maxillary anomalies are defined as growth and developmental disorders of the dental arches, jaws, as well as facial soft tissues. Most studies highlight the significance of combining orthodontic treatment with ...
The increasing digitalization of the healthcare sector has elevated the urgency of securing the web and email infrastructures used by small and medium-sized enterprises (SMEs). This paper presents the first comprehensive ...
Agent-based modeling (ABM) offers a robust framework for simulating complex physiological systems, yet its application to pulmonary edema (PE) remains underexplored. This study presents an innovative ABM, built in NetLogo, ...