• Method for identifying plant diseases based on monitoring platform for plantations 

  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 ...
• Upgrading GPIB instruments with IoT: A microcontroller solution for local network control of the laboratory devices 

  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 ...
• Assessing the opportunity to implement mobile applications 

  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 ...
• Geometric distributions MinMax and MaxMin modified as lifetime distributions and statistical estimators for them 

  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 ...
• Engineering education management in the era of artificial intelligence 

  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. ...
• Architecting secure Smart infrastructures with AI microservices and autonomous agents: A State-of-the-Art review and healthcare use case 

  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 ...
• Research space missions developed at the TUM Space Centre 

  BOSTAN, Viorel; SECRIERU, Nicolae; IVANOVICI, Mihai; COJUHARI, Irina; PANDELE, Alexandru; POPA, Stefan; MELNIC, Vladimir; MAGARIU, Nicolae; MARTINIUC, Alexei (Institute of Electrical and Electronics Engineers, 2025)

  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 ...
• Integrating sensor nodes into a wireless sensor node network 

  MASLOVA, Tatiana; BÎRNAZ, Adrian; LUPAN, Cristian; BUZDUGAN, Artur (Springer Nature, 2025)

  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 ...
• Assessment of anatomical balance alterations following orthognathic surgery based on the FAB concept 

  STRÎȘCA, Stanislav; ŞONTEA, Victor; CHELE, Nicolae; MOSTOVEI, Andrei (Springer Nature, 2025)

  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 ...
• Predictive value of biochemical markers on mortality in hospitalized COVID-19 patients in intensive care units 

  MOGHILDEA, Victoria; GRABOVSCHI, Ion; TROFIMOV, Cristina; ODAJIU, Otilia; IAPĂSCURTĂ, Victor (Springer Nature, 2025)

  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 ...
• Artificial intelligence in healthcare: Real-world integration, cybersecurity risks and challenges 

  BUZDUGAN, Aurelian; BUZDUGAN, Artur (Springer Nature, 2025)

  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 ...
• Comparative evaluation of k-anonymity, differential privacy, and pseudonymization for data protection in rare disease registries 

  SIMINIUC, Sergiu; ȚURCANU, Dinu; SIMINIUC, Rodica (Springer Nature, 2025)

  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 ...
• Evaluation of the regenerative efficacy of biological dressings developed through tissue engineering 

  MACAGONOVA, Olga; COCIUG, Adrian; CIOBANU, Vladimir; VERESTIUC, Liliana; NACU, Viorel (Springer Nature, 2025)

  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 ...
• The pangenome variability index: a quantitative measure for assessing gene content diversity in microbial genomes 

  MUNTEANU, Viorel; LEAHU, Alexei; CIORBĂ, Dumitru; CATLABUGA, Eugeniu; DRABCINSKI, Nicolae; DUBCIUC, Damian; IAPĂSCURTĂ, Victor; BOSTAN, Viorel (Springer Nature, 2025)

  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 ...
• Multi-agent decision support for sepsis: Balancing precision and hallucination risks in biomedical engineering 

  CIUBARA, Roman; ODAJIU, Otilia; MUNTEANU, Viorel; ARNAUT, Oleg; BELÎI, Adrian; IAPĂSCURTĂ, Victor (Springer Nature, 2025)

  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 ...
• Exploring maternal-placental-fetal interactions: A hybrid modeling approach for biomedical engineering 

  IAPĂSCURTĂ, Victor; MUNTEANU, Viorel; BELÎI, Adrian (Springer Nature, 2025)

  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 ...
• Nonlinear dynamics of cell migration between two cancer centers 

  GUBCEAC, Natalia; CIOBANU, Nellu; TRONCIU, Vasile (Springer Nature, 2025)

  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 ...
• Assessment of anatomical balance in dento-facial anomalies using virtual surgical planning 

  STRÎȘCA, Stanislav; ŞONTEA, Victor; SÎRBU, Dumitru; MOSTOVEI, Andrei (Springer Nature, 2025)

  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 ...
• Towards more protected medical data: Assessing the security of Web and email infrastructures in SMEs in the Republic of Moldova 

  ALEXEI, Anatolie; ALEXEI, Arina (Springer Nature, 2025)

  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 ...
• Advancing biomedical engineering: An Agent-based approach to pulmonary edema simulation 

  IAPĂSCURTĂ, Victor; FALENCIUC, Regina; MUNTEANU, Viorel; ARNAUT, Oleg (Springer Nature, 2025)

  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, ...

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