Use of machine learning in occupational risk communication for healthcare workers: protocol for scoping review by Gabriela Laudares Albuquerque de Oliveira, Clarice Alves Bonow, Itiberê de Oliveira Castellano Rodrigues, Amanda Xavier Geraldo

“…The narrative synthesis will describe the main themes and findings of the review.The results of this scoping review will be disseminated through publication in an international peer-reviewed scientific journal.Ethics and dissemination Ethical approval is not required; data will rely on published articles. …”
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A secure medical image encryption technique based on DNA cryptography with elliptic curves by V. N. Senthil Kumaran, T. Manikandan, Rajesh Kumar Dhanaraj, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

“…With progress in imaging technologies and biomedical processing algorithms, the amount of image data increases rapidly. …”
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Development of PYMUS+ Code for Quantitative Evaluation of Nuclear Material Accounting (NMA) System by Byung Hee Won, Hee-Sung Shin, Se Hwan Park, Seong-Kyu Ahn

“…The Nuclear Material Accounting (NMA) system is one of the main safeguards measures to detect the existence of nuclear material diversion. …”
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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection by Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani

“…Two modalities, unimodal and multimodal, are used in this study. The main contributions of this research are the development of a comprehensive framework for modality-based analysis, the application of advanced data preprocessing techniques, and the comparison of various machine learning algorithms to identify the best model for stunting detection. …”
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Analysis of student’s final qualification theses using text loans detection systems by D. A. Petrusevich, K. D. Shakhardin

“…The percentage is given by two main Russian plagiarism detection systems: Antiplagiat and Rucontext. …”
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Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan. by Ana Torres, Brima Musa Younis, Samuel Tesema, Jose Carlos Solana, Javier Moreno, Antonio J Martín-Galiano, Ahmed Mudawi Musa, Fabiana Alves, Eugenia Carrillo

“…Our results indicate that the combination of anaemia and a weak Th1 immunological response is likely the main physiological mechanism that leads to progressive PKDL.…”
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Research on application of artificial intelligence safety production management and control platform in Shendong mining area by Yazhong CUI, Jianrong HE, Yanyan REN

“…The relevant trained AI models and algorithms are deployed to the scene of coal mine safety production, further improving the intelligence level of coal mine expert systems, robots, decision management, safety management and equipment monitoring. …”
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Real-time traffic monitoring system using IoT-aided robotics and deep learning techniques by Mohammed Qader Kheder, Aree Ali Mohammed

“…The data, which is collected by sensors and cameras, is processed using various image processing algorithms and it is sent to the cloud to be available for drivers and commuters through a mobile application. …”
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Factors influencing the spatial distribution of police stops and their efficacy in crime prevention and control by Zhuoying Fan, Xuewei Zhang, Guangwen Song, Chunxia Zhang

“…Therefore, this study focuses on the main urban areas of megacities along the southeast coast of China. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“… The study is dedicated to the problem of classification of structural and functional development stage of cardiomyocytes derived from the induced pluripotent stem cells with application of the digital image processing methods and machine learning algorithms, in particular, neural networks. Cell regenerative therapy has become one of the most promising treatment options for patients with heart failure. …”
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Linguo-Conceptual Studies of Literary Text: Evolution of Theoretical and Methodological Approaches by I. V. Kononova, T. A. Pruczkikh

“…As a result of the review study, the evolution of theoretical and methodological  approaches  to  literary  concepts  and  literary  texts’  ideospheres  is demonstrated. The main concepts that influenced the formation of cognitive poetics are identified; the relevant problems of cognitive studies of poetic and prose texts are analyzed. …”
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Multi-Temporal Assessment of Soil Erosion After a Wildfire in Tuscany (Central Italy) Using Google Earth Engine by Francesco Barbadori, Pierluigi Confuorto, Bhushan Chouksey, Sandro Moretti, Federico Raspini

“…This study applied the Revised Universal Soil Loss Equation (RUSLE) model to estimate soil erosion rates with a multi-temporal approach, investigating three main scenarios: before, immediately after, and one-year post-fire. …”
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HARDWARE AND SOFTWARE COMPLEX FOR FUNCTIONAL STATE MONITORING OF MOTHER AND FETUS by I. V. Tolmachyov, K. S. Brazovsky, A. S. Tsverova, V. S. Ripenko

“…At the moment in the world there are no complexes which enable monitoring of the fetus without any risk to his health. So the main aim of this work is development of hardware and software system to assess the functional status of the mother and fetus by the analysis of the signals recorded from the abdominal electrodes.Objectives:1) to formulate the requirements to noninvasive monitoring system and functional state assessment of mother and fetus.2) to develop algorithms and software for monitoring system and functional state assessment of mother and fetus.3) to determine fetus functional state at 32–33 week in women with uncomplicated pregnancies and in women with placental insufficiency in the compensation stage and subcompensation.The system concept is based on fetal heart rate recognition and analysis. …”
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Wind energy potential assessment using the Weibull distribution method for future energy self-sufficiency by Badr El Kihel, Nacer Eddine El Kadri Elyamani, Abdelhakim Chillali

“…A rigorous statistical analysis was conducted using the Weibull distribution and several parameter estimation algorithms: Maximum Likelihood Method, Jestus Method, Lysen Method, Moroccan Method, and Graphical Method. …”
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Energy-Efficient Trajectory Planning With Joint Device Selection and Power Splitting for mmWaves-Enabled UAV-NOMA Networks by Ahmad Gendia, Osamu Muta, Sherief Hashima, Kohei Hatano

“…This paper proposes two energy-efficient reinforcement learning (RL)-based algorithms for millimeter wave (mmWave)-enabled unmanned aerial vehicle (UAV) communications toward beyond-5G (B5G). …”
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Optimising laboratory monitoring of chronic conditions in primary care: a quality improvement framework by Alex J Walker, Richard Croker, Jessica Watson, Andy Brogan, Darunee Whiting, Tom Lewis

“…Chronic disease test groups were developed in line with current guidelines and implemented using one-click electronic test ordering systems. The main difference from previous general practitioner practice algorithms was removing the requirement for full blood count and liver function test monitoring for many conditions. …”
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Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The study analyses at the information level the impact of the main economic indicators on migration and access to services in the European Union, using methods specific to intelligent information systems. …”
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Habitat suitability modeling to improve conservation strategy of two highly-grazed endemic plant species in saint Catherine Protectorate, Egypt by Mohamed M. El-Khalafy, Eman T. El-Kenany, Alshymaa Z. Al-Mokadem, Salma K. Shaltout, Ahmed R. Mahmoud

“…In our analysis, we included the incorporation of bioclimatic variables into the SDM modeling process using four main algorithms: generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), and Support Vector Machines (SVM) in an ensemble model. …”
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Influence of the control law on oscillatory processes in electromechanical drive by Alexander V. Klimov

“…The application of the S-shaped law of torque setting is suitable for the implementation of motion control algorithms and software.…”
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Significance of Chest Computed Tomography Scan Findings at Time of Diagnosis in Patients with COVID-19 Pneumonia by Rajaa Suhail Najim, Ahmed Diaa Abdulwahab, Dina Nasih Tawfeeq

“…Review of chest CT scan for 132 patients was done and the main chest CT manifestations of patients with COVID-19 infection was reported. …”
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