Liquid anti-fire missiles. The method of extinguishing fires by Andrii Sokol, Halyna Sokol

“…One of the ways to increase efficiency of fighting against forest fires and fires in general is the use of automated systems for detecting and extinguishing fires. …”
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Heating elements of flexible tape in current mode power supply of complex form by E. V. Ptitsyna, D. V. Ptitsyn, A. B. Kuvaldin

“…The purpose of the work is to study the influence of electrical modes on the energy and technological parameters of heaters to develop recommendations for the selection of effective modes of operation of such heaters when powered by a complex form of current to develop automated control systems, involving the use of two control channels: the amplitude of voltage (current) and the frequency spectrum.…”
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Machine learning-based authentication of banknotes: a comprehensive analysis by Nadia Ghasem Abadi

“…The study utilizes a dataset consisting of authentic and counterfeit banknotes, employing various classification algorithms to construct a robust model for automated detection. Key features, including texture, color distribution, and security attributes, are extracted to train the model, enabling a thorough analysis of banknote authenticity. …”
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Matching of an observed event and its virtual model in relation to smart theories, coupled models and supervision of complex procedures—A review by Razek, Adel

“…Real-time pairing notably concerns natural phenomena, autonomous automated systems and complex procedures. The paper assesses, analyzes and discusses the different elements mentioned. …”
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GENERALIZED STRUCTURE OF THE SIMULATION MODEL OF THE GROUP ACTIVITY OF ACS OPERATORS by S. V. Kruglikov, A. R. Bekish

“…A formalized model of the activity of the collective of operators of an automated control system is developed, developed on the basis of the application of Buloshenko's aggregative approach in the form of a four-level aggregative system that includes aggregates of functional blocks, tasks, operators, and the collective of operators. …”
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VisionMD: an open-source tool for video-based analysis of motor function in movement disorders by Gabriela Acevedo, Florian Lange, Carolina Calonge, Robert Peach, Joshua K. Wong, Diego L. Guarin

“…Abstract VisionMD, an open-source software for automated video-based analysis of MDS-UPDRS Part III motor tasks, offers precise, objective, and scalable assessments of motor symptoms in Parkinson’s disease and other movement disorders. …”
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Enhancing pediatric congenital heart disease detection using customized 1D CNN algorithm and phonocardiogram signals by Ihtisham Ul Haq, Ghassan Husnain, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Hanan Aljuaid

“…This study represents a significant advancement in accessible, automated CHD diagnoses, enhancing clinical competence to elevate pediatric treatment.…”
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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…It is solved in the first block of any automated retinal image analysis system. The quality assessment procedure is carried out in several stages. …”
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Enhancing Infection Control in ICUS Through AI: A Literature Review by Aditya Amit Godbole, Paras, Maanya Mehra, Sumitaksha Banerjee, Poulami Roy, Novonil Deb, Sarang Jagtap

“…The paper also addresses AI's role in automating sterilization and disinfection, with studies affirming its effectiveness in reducing infections. …”
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Smart Health Monitoring and Management System for Organizations Using Radio-Frequency Identification (RFID) Technology in Hospitals or Emergency Applications by Yaw-Wen Kuo, Yung-Chung Tsao, Web-Chang Chien, Yuh-Ming Huang, Lun-De Liao

“…We propose a complete solution that includes current Internet of Things technology that can be used in hospitals or any public space to automate and organize information management operations. …”
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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

“…Artificial intelligence (AI) technologies have been widely applied to the automated detection of pipeline leaks. However, traditional AI methods still face significant challenges in effectively detecting the complete leak process. …”
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An Approach to Data Processing for the Smart District Heating System by A. V. Sednin, A. V. Zherelo

“…In addition to the currently implemented data collection scheme in automated control systems, a generalized method of data acquisition with the introduction of duplicate streams has been proposed to ensure their integrity. …”
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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Conclusions We show that the sensor fusion approach is a promising avenue for automated classification of infant motor patterns. …”
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Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field by Tianrui Ye, Jin Meng, Yitian Xiao, Yaqiu Lu, Aiwei Zheng, Bang Liang

“…This study introduces a comprehensive and automated framework that leverages data-driven methodologies to address various challenges in shale gas development and production. …”
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Zero-Trust Access Control Mechanism Based on Blockchain and Inner-Product Encryption in the Internet of Things in a 6G Environment by Shoubai Nie, Jingjing Ren, Rui Wu, Pengchong Han, Zhaoyang Han, Wei Wan

“…Firstly, smart contracts are employed to automate access control, and software-defined boundaries are defined for different application domains. …”
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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

“…Notably, manually constructed input scenarios outperformed automated feature selection methods, with maximum temperature emerging as the most significant predictor of Ep variability. …”
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GenSQLi: A Generative Artificial Intelligence Framework for Automatically Securing Web Application Firewalls Against Structured Query Language Injection Attacks by Vahid Babaey, Arun Ravindran

“…The framework achieves two primary objectives: (1) generating diverse and validated SQLi payloads using in-context learning, thereby minimizing hallucinations, and (2) automating defense mechanisms by testing these payloads against a vulnerable web application secured by a WAF, classifying bypassing attacks, and constructing effective WAF security rules through generative AI techniques. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

“…This study marks the first integration of advanced computer vision, image processing, and machine learning technologies to design an innovative automated apple grading system. The system aims to reduce human interference and enhance grading efficiency and accuracy. …”
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Performance evaluation of the Qiagen BK virus ASR on the NeuMoDx system by Amorce Lima, Luciano Soares, Caroline Simmons, Laura Rowe, Dominic Uy, Deanna Becker, Suzane Silbert

“…Compared to the SOC, the Qiagen BKV ASR had a more automated workflow, with less hands-on time, leading to quicker turnaround time. …”
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Semiautomatic volumetry of the temporal lobes of the brain and correlation with electroencephalography results in dogs with assumed idiopathic epilepsy by Paulina Kinga Drobot, Aleksandra Banasik, Karolina Owsińska‐Schmidt, Marcin Wrzosek, Przemysław Podgórski

“…Abstract Background Lesions causing refractory epilepsy, often associated with temporal lobe epilepsy (TLE), can be undetectable on standard magnetic resonance imaging (MRI) in dogs. Automated brain volumetry, widely used in human medicine, can now be applied in veterinary medicine because of the availability of brain atlases. …”
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