Reduced O3 subsequence labelling: a stepping stone towards optimisation sequence prediction by Yi-Ping You, Yi-Chiao Su

“…We formulated the problem and attempted to solve the problem by using genetic algorithms. We believe that with mature deep learning techniques, a machine learning model that predicts the reduced O3 subsequences or even the best O3 subsequence for a given code fragment could be developed and used to prune the search space of the problem of the optimisation phase tuning, thereby shortening the tuning process and also providing more effective tuning results.…”
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Non-destructive control of tablet forms of cefuroxime by near-infrared spectroscopy and digital colorometry methods by Amelin, Vasiliy G., Emelyanov, Oleg E.

“…The application of chemometric algorithms to determine the concentration of the active ingredient cefuroxime in the drug Zinnat has been considered. …”
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Digital technologies for signal radio vision and radio monitoring by M. S. Kostin, K. A. Boikov

“…The paper sets out to develop methods and algorithms for vector analysis of radio wave deformation of nonstationary fields forming a signal radio image based on radiophysical and topological characteristics of small-sized objects; to develop software and hardware for registration and neural network recognition of signal radio images, including methods for the synthesis and extraction of signal radiogenomes using digital twins of objects obtained through vector electrodynamic modeling; and to analyze signal radio images induced by elements of printed topology of electronic devices.Methods. …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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Ge’ez Digit Recognition Model Based on Convolutional Neural Network by Ruchika Malhotra, Maru Tesfaye Addis

“…Leveraging cutting-edge DL algorithms, our proposed model demonstrates an impressive accuracy of 97.29%. …”
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Anatomically and Dielectrically Realistic 2.5D 5-Layer Reconfigurable Head Phantom for Testing Microwave Stroke Detection and Classification by Tomas Pokorny, David Vrba, Jan Tesarik, Dario B. Rodrigues, Jan Vrba

“…Molds for casting individual parts of the phantom were printed in 3D. The presented phantom is suitable for the development and testing of microwave systems and algorithms used in the detection and classification of vascular events relevant to stroke diagnosis.…”
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Encoding and Decoding of Secret Messages Using Matrices. by Niwagaba, James

“…It is hoped that this activity of encoding and decoding messages not only offers teachers write great opportunities to either introduce or consolidate certain mathematical concepts and algorithms but also to convince their students that mathematics plays an important role in various walks of life and hence is a useful and meaningful field of study. …”
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PCES-YOLO: High-Precision PCB Detection via Pre-Convolution Receptive Field Enhancement and Geometry-Perception Feature Fusion by Heqi Yang, Junming Dong, Cancan Wang, Zhida Lian, Hui Chang

“…Printed circuit board (PCB) defect detection faces challenges like small target feature loss and severe background interference. …”
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Postulates of oncology alertness for an outpatient therapist: let’s look at the example of lung cancer by A. L. Vertkin, M. A. Rudnitskaya, Yu. V. Vakhabova, G. Yu. Knorring

“…The identification of complaints and symptoms characteristic of oncological diseases using algorithmized approaches and methodological support, followed by consultation of the patient with a pulmonologist or oncologist, are designed to improve the results of treatment.Results. …”
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3D vector field-guided toolpathing for 3D bioprinting by Meghan Rochelle Griffin, Spencer E. Bertram, Noah P. Robison, Angela Panoskaltsis-Mortari, Ravi Janardan, Michael C. McAlpine

“…DTMRI data from a human left ventricle was used to 3D print fibered models with high accuracy. It is anticipated that NAATIV3 is generalizable beyond the cardiac application demonstrated here. …”
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An automation monitoring system for the production facility work by Артем Бронніков, Альона Коломієць, Олег Юрченко

“… The subject of research in the article is the application of technology and control algorithms in the automation system for monitoring the operation of the instrument building room. …”
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