THE SCIENTIFIC SCHOOL OF THE ACADEMICIAN G. M. ROMANTSEV: THE HISTORY AND PROSPECTS OF DEVELOPMENT by N. V. Ronzhina, A. V. Efanov

“…The key theoretical and methodological premises of this type of education are formulated; its logical processes and vectors for further development are denoted. …”
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Insurance Innovations as a Part of the Financial Inclusion by Iryna Didenko, Natalia Sidelnyk

“…Systematization of literary sources and approaches to solve the problem of introducing innovative processes in the insurance business development demonstrated that today in the conditions of global digitalization, the direction of insurance tech development is gaining popularity. …”
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University Management in the Western Sociology of Higher Education by P. A. Ambarova, G. E. Zborovsky

“…The professionalisation process among managers employed in higher school is outlined.The authors demonstrate the ideas, discussions and new trends of university research projects in the United States, Canada, France, England, Spain, Germany, Holland, Nordic and other Western countries from a critical perspective. …”
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Haemaphysalis longicornis (Acari: Ixodidae) does not transmit Babesia bovis, a causative agent of cattle fever by Karen C. Poh, Mitzi Aguilar, Janaína Capelli-Peixoto, Sara K. Davis, Massaro W. Ueti

“…Given the lack of successful transstadial or transovarial transmission, it is unlikely that H. longicornis is a vector for B. bovis.…”
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Rekomendasi Pengembangan Fasilitas Wisata Tugu Pahlawan Surabaya Melalui Visualisasi Dashboard Hasil Klasifikasi Analisis Sentimen Ulasan Pengunjung by Fawwaz Roja Mahardika, Ahmad Afif Supianto, Nanang Yudi Setiawan, Raden Sandra Yuwana, Endang Suryawati

“…However, the managers do not have technology capable of collecting, processing and analyzing all review datas that can produce information in a concise manner. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…This paper attempts to address these issues by offering a novel method (ANN-SVM-IP) that integrates image processing (IP)-based segmentation and ML algorithms (ANN-SVM) for extracting and classifying exterior defects in apple fruits. …”
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Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines by Reza Bohlouli, Babak Rostami, Jafar Keighobadi

“…This paper presents a practical NDT method of fusion joints of polyethylene piping using intelligent ultrasonic image processing techniques. In the proposed method, to detect the defects of electrofusion joints, the NDT is applied based on an ANN-Wavelet method as a digital image processing technique. …”
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The transcription factor PbeNAC83 positively regulates the Valsa canker resistance in apple and pear by DOU Zhiqi, CAI Minrui, DU Chenglong, HU Huanhuan, ZUO Cunwu

“…As a vital plant-specific transcription factor family, NAC factors are significantly involved in this process. Previous studies have shown that NAC transcription factors are involved in a wide range of plant physiological processes and responses to various environmental stresses. …”
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High-Efficiency Multi-Standard Polynomial Multiplication Accelerator on RISC-V SoC for Post-Quantum Cryptography by Duc-Thuan Dam, Trong-Hung Nguyen, Thai-Ha Tran, Duc-Hung Le, Trong-Thuc Hoang, Cong-Kha Pham

“…With a unified design, the accelerator performs NTT, inverse NTT (INTT), point-wise multiplication (PWM), and matrix-vector polynomial multiplication. Secondly, we propose a compact, configurable reordering unit for effective coefficient processing in high-parallelism. …”
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Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection by Stepanić Pavle, Dučić Nedeljko, Vidaković Jelena, Baralić Jelena, Popović Marko

“…For each recorded vibration signal, a feature extraction was performed by digital processing in the time domain. The following ML algorithms were used to develop the classifier: K-nearest neighbor (KNN) and support vector machine (SVM) as well as improved versions of the aforementioned algorithms. …”
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Automated image-based condition assessment of the built environment: A state-of-the-art investigation of damage characteristics and detection requirements by Leila Farahzadi, Ibrahim Odeh, Mahdi Kioumarsi, Behrouz Shafei

“…Considering the difficulties and limitations associated with traditional inspection methods, there have been growing interests in utilizing image processing and computer vision strategies. Despite several developments, however, the state of the practice still lacks necessary insights on how such advanced strategies should be utilized to realize their expected benefits, in terms of ease, coverage, and accuracy. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDICAL BIOSTATISTICAL STUDIES: ARE THE STATISTICIANS NO LONGER NECESSARY? A LITERATURE REVIEW by Cristina-Gena Dascălu, Norin Forna, Andrei Georgescu, Claudiu Topoliceanu

“…AI techniques, such as deep learning, support vector machines, decision trees or clustering, expands upon traditional biostatistics to enable systematic processing of complex and high-dimensional unstructured biomedical datasets. …”
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Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morpholog... by Vijaykumar S. Jatti, R. Murali Krishnan, A. Saiyathibrahim, V. Preethi, Suganya Priyadharshini G, Abhinav Kumar, Shubham Sharma, Saiful Islam, Dražan Kozak, Jasmina Lozanovic

“…However, to accurately predict the wear rate at high temperatures, six different machine learning regression algorithms were used, namely Support Vector Machine (SVM), Linear Regression (LR), Random Forest Regression (RFR), Gaussian Process Regression (GPR), XGBoost regression (XGB) and Decision Tree (DT). …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…Machine learning (ML) are the central tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of large data, reveal hidden or non-obvious patterns and learn a new knowledge. …”
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A Hybrid Deep Learning Paradigm for Robust Feature Extraction and Classification for Cataracts by Akshay Bhuvaneswari Ramakrishnan, Mukunth Madavan, R. Manikandan, Amir H. Gandomi

“…Manual processing of fundus images for the automated identification of ocular disorders is laborious, error‐prone, and time‐consuming. …”
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Image Based Detection of Coating Wear on Cutting Tools with Machine Learning by Jan Wolf, Nithin Kumar Bandaru, Martin Dienwiebel, Hans-Christian Möhring

“…Therefore, this research provides an efficient data processing and classification framework for detecting coating wear on cutting tools.…”
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The Spacecraft Parabolic Antenna Payload Orientation Estimation Method Based on the Step Effect of Measured Radar Cross Section Sequences by Junzhi Li, Xin Ning

“…The analysis and processing of active radar image information is an important method for determining the payload orientation of non-cooperative targets. …”
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TWO-POINT BOUNDARY PROBLEM SOLUTION BY NON-GRADIENT RANDOM SEARCH METHOD by V. A. Malkin

“…When solving the task of optimal control estimation of dynamical system by means of Pontryagin’s maximum principle the initial conditions of conjugate set of equations must be determined, provided that dynamical system’s variables values meet the known terminal conditions Y(tk).The problem’s solution lie in random selection of vector of initial conditions in some actual range, numerical integration of basic and conjugate systems and subsequent processing of findings. …”
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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

“…Preparation and post-processing blocks for raster and vector files were developed for geospatial data processing. …”
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Digital-analog hybrid matrix multiplication processor for optical neural networks by Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu

“…Current ONNs using analog matrix-vector multiplication (MVM) implementations are fundamentally limited in numerical precision due to accumulated noise in electro-optical processing. …”
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