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3981
Future impacts of artificial intelligence technologies in graphic design
Published 2024-05-01“…The research adopted the descriptive approach and the content analysis method to analyze nine research samples to reach a number of results. …”
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3982
Аortic arch atheroma as a source of arterio-arterial embolism and ischemic stroke
Published 2023-05-01Get full text
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3983
Development of Political Statistics: Conceptual Foundations for the Formation of a System of Indexes
Published 2025-03-01“…The conceptual basis for structuring sections of the PS, identifying a specific subject, method and research objectives, defining a system of indexes within each section of the PS and the relationships between these modules are presented in the form of an information and logical diagram of subsystems of indexes with the definition of algorithms for their calculation and data sources for their construction. …”
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3984
Digital transformation of modern corporation management tools: the current state and development paths
Published 2022-03-01“…The methodology of this study was based on the following methods of scientific knowledge: general scientific empirical methods (observation (over the course of development of the use of digital technologies in corporate law), comparison (of the effectiveness of the use of digital technologies in corporate law of different countries)); methods of theoretical knowledge (analysis (of advantages and disadvantages of digitalization of individual institutions of corporate law), formal legal method (in the formulation and research of various concepts, determination of their characteristics and classification), theoretical modeling (of the prospects and areas of possible application of digital technologies in corporate law).The main results. …”
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3985
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
Published 2024-12-01“…Recently, deep learning algorithms have provided advancements in ncRNA classification. …”
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3986
Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles
Published 2024-12-01“…We suggest that a collaborative cloud virtual research environment (VRE) for habitat condition research and monitoring could provide solutions, including tools for data discovery, access, and data standardization, as well as geospatial processing workflows for airborne LiDAR and UAV data. …”
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3987
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3988
Digital solutions for risk management in sustainable development conditions of business ecosystems
Published 2025-06-01“… The article's objective is to conduct theoretical research of modern digital solutions for risk management in business ecosystems and develop an intelligent digital tool for risk management under sustainable development conditions. …”
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3989
Machine learning and company failure prediction: Evidence from South Africa
Published 2025-03-01“…Research purpose: The accuracy of company failure prediction was assessed when applying an array of fundamental machine learning algorithms in South Africa. …”
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3990
PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER
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3991
Deep-learning-based point cloud completion methods: A review
Published 2024-12-01“…Point cloud completion aims to utilize algorithms to repair missing parts in 3D data for high-quality point clouds. …”
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3992
What patients and caregivers want to know when consenting to the use of digital behavioral markers
Published 2024-12-01“…Drawing from these themes, we provide a checklist of questions, as well as suggestions and key challenges, to help researchers and practitioners respond to what stakeholders want to know when integrating these technologies into clinical care and research. …”
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3993
Machine learning Techniques for Spondylolisthesis Diagnosis: a review
Published 2024-07-01“…Methodologies, sample sizes, algorithms, and measurement accuracy are the main topics of interest. …”
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3994
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3995
Balanced operation strategies of district heating systems based on dynamic hydraulic-thermal modeling
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3996
Integrated production-distribution planning optimization models: A review in collaborative networks context
Published 2017-01-01“…The main objective of the research is to identify gaps in current optimization models, proposed to address integrated planning, taking into account the requirements and needs of the industry. …”
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3997
A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories
Published 2025-02-01“…From leveraging machine learning and blockchain for anomaly detection and real-time threat response to optimising lightweight algorithms for resource-limited devices, researchers propose innovative and adaptive solutions to address emerging threats. …”
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3998
Evaluative representations of the student audience in the context of current processes in Donbas: comparison of studies
Published 2025-01-01“…Due to the difficulty of reaching respondents in new territories, the survey was conducted using the "snowball" method. The main research method is a comparative analysis of the data obtained using sociological information and relevant academic research. …”
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3999
The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
Published 2024-12-01“…Brain tumor detection is crucial in medical research due to high mortality rates and treatment challenges. …”
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4000
A Review of Embodied Grasping
Published 2025-01-01“…First, we summarize the embodied foundations, including cutting-edge embodied robots, simulation platforms, publicly available datasets, and data acquisition methods, to fully understand the research focus. Then, the embodied algorithms are introduced, starting from pre-trained models, with three main research goals: (1) embodied perception, using data captured by visual sensors to perform point cloud extraction or 3D reconstruction, combined with pre-trained models, to understand the target object and external environment and directly predict the execution of actions; (2) embodied strategy: In imitation learning, the pre-trained model is used to enhance data or as a feature extractor to enhance the generalization ability of the model. …”
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