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10761
MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE"
Published 2022-08-01“…The algorithm of formalization of protection processes is proposed, which ensures efficient use of resources when detecting possible incidents of violation of the protection system and/or unauthorized access. …”
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10762
DIFFERENTIATION OF WORD MEANINGS IN TRANSLATION (ON THE EXAMPLE OF RUSSIAN AND TURKISH LANGUAGES)
Published 2024-06-01“…The relevance of the study of lexical transformations in the process of translation is associated with the need to ensure communication between the author and recipients in terms of recreating the lexical, structural and stylistic richness of the original in the translated text. …”
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10763
Deep Learning-Based Real-Time 6D Pose Estimation and Multi-Mode Tracking Algorithms for Citrus-Harvesting Robots
Published 2024-09-01“…Particularly, fruit harvesting relies heavily on manual labor, leading to issues with an unstable labor supply and rising costs. …”
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10764
Artistic features of neural networks: Image and video generation in the context of museum practice
Published 2024-12-01“…The author examines the features of such neural networks as Flux 1.1 Pro, designed to generate images based on text queries and supports post-processing of images in the «Ultra RAW» mode. Its functions expand the capabilities of museum and cultural organizations in creating visually exciting content. …”
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10765
Mechanism of Increasing the Sustainability of Socio-economic Development of Regions with Using GIS-technologies
Published 2019-01-01“…The article analyzes the available publications on the issues of regional sustainable development, which allowed to conclude of necessity to introduce modern geoinformation systems for the operational collection, processing and analysis of primary information on indicators of socio-economic development of the territories. …”
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10766
BERT-based network for intrusion detection system
Published 2025-03-01“…To address these challenges, this paper proposes a network IDS based on bidirectional encoder representations from transformers (BERT), which aims to leverage recent advances in the field of natural language processing (NLP) to enhance the performance of IDS. …”
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10767
Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network
Published 2024-10-01“…Due to the uncertainty of the subsurface environment and the complexity of parameters, particularly in feature extraction from input data and when seeking to understand bidirectional temporal information, the evaluation and prediction of the rate of penetration (ROP) in real-time drilling operations has remained a long-standing challenge. To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). …”
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10768
Study on 3D printability of PLA/PBAT/PHBV biodegradable blends for packaging applications
Published 2025-04-01“…Poly (3-hydroxybutyrate-co-3-hydroxy valerate) (PHBV) possess favorable barrier, mechanical properties and biodegradability; however, its low thermal stability and poor melt strength pose severe challenges in 3D printing process. On their side, PBAT-rich Ecovio blends provide high ductility and thermal stability but suffer from buckling issues due to excessive flexibility of the filaments. …”
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10769
A novel approach for efficient resource allocation in 6G V2V networks using neighbor-aware greedy algorithm and sweep line model
Published 2025-06-01“…This work analyses a sweep line algorithm that utilizes the concept of a sweep area to address issues in Euclidean space for enhanced V2V communication. …”
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10770
Methods for Extracting Immune-Response Modulating Agents of Plant Origin
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10771
Challenges and opportunities for green transitions adoption in Kenya's textile manufacturing industry
Published 2025-07-01“…The study concluded that challenges such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector.DiscussionsThe findings of the present study highlight the multifaceted challenges impeding Kenya's textile industry from fully embracing sustainable practices. Issues such as inefficient waste management, heavy reliance on non-renewable energy sources, insufficient domestic cotton production, and limited awareness of environmental standards collectively hinder progress toward a greener sector. …”
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10772
Pre-tension load of resistant knitted fabric influence on radiant heat transfer index
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10773
Transformation of law in the context of digitalization: defining the correct priorities
Published 2020-05-01“…This study underlines, among the priority tasks and directions, the issues of legal personality of digital technologies, and the essential mechanisms for the protection of products using digital technologies. …”
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10774
Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method
Published 2025-05-01“…The subsequent post-processing of these detection results facilitated the construction of a comprehensive three-dimensional model of the groundwater system. …”
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10775
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10776
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10777
QUALITY ASSESSMENT OF STUDENT COURSEWORKS: COMPETENCY-BASED APPROACH
Published 2018-03-01“…Introduction. Today, the issues of formation and assessment of professional competencies of students of the highest professional educational institutions are widely discussed in the scientific community. …”
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10778
The Role of Digital Transformation in Manufacturing: Discrete Event Simulation to Reshape Industrial Landscapes
Published 2025-05-01“…This study explores this interplay through the application of an industrial engineering technique to a real process issue, demonstrating originality in problem selection and solution tools, as well as the relevance of the results. …”
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10779
Application of the Christiansen Dividing-wall Column Configuration for Multicomponent System Separation
Published 2024-12-01“…Dividing wall distillation columns (DWC) represent a significant advancement in the process industry, promoting sustainability and reducing overall CO2 emissions in continuous separation processes. …”
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10780
Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform
Published 2025-07-01“…The model is developed using the TensorFlow Lite framework, incorporating batch normalization to stabilize and accelerate the learning process. Once deployed, the system predicts faults and sends Bluetooth alerts to a host PC when an issue is detected, allowing the process to be halted to prevent further damage. …”
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