The article presents the development of an interactive system for recognizing and classifying human hand gestures based on machine learning technologies. A new approach to gesture representation is proposed, combining spatial and temporal characteristics of the location of key points of the hand, which ensures high accuracy, noise resistance, and adaptability of the system to various conditions of use.
typical technology for manufacturing paper/cardboard cups in the shape of a truncated cone are presented.
The paper investigates computer diagnostic systems, their architectures, methods, and algorithms used in their work to diagnose cancer, including breast, lung, brain, and other tumors.
Traditional and neural network methods for image segmentation and classification are analyzed and compared, and diagnostic tools in medicine are analyzed.
The key approaches to medical image processing are investigated, in particular, the analysis of segmentation methods based on U-Net networks and classification using convolutional neural networks.
The article explores the process of creating interfaces for security systems in apartment buildings using the persona method and user classification through the random forest method. The persona method allows for segmenting users based on demographic, psychographic, and behavioral characteristics, providing deeper insight into the needs of different groups and enabling the creation of personalized interfaces for effective interaction with the system. The random forest method is used to select key criteria that influence user classification and optimize the system according to their needs.
This article presents a historical overview of the development of kinetic architecture starting from the 20th century. - the first attempts to implement the futuristic ideas of Thomas Hein, Angelo Invernitz, Buckminster Fuller Jon Friedman, Cedric Price. Two main reasons for the appearance of kinetic architecture are argued. This is the creation of a new architectural environment as a response to changes in the paradigm of world perception - a dynamic and adaptive to new needs environment using the latest computerized and mechanized systems and devices.
Effectively managing diabetes as a lifestyle condition involves fostering awareness, and social media is a powerful tool for this purpose. Analyzing the content of tweets on platforms like Twitter can greatly inform health communication strategies aimed at raising awareness about diabetes within the Moroccan community. Unfortunately, the corpus of tweets is imbalanced and the feature extraction leads to data sets with a very high dimension which affects the quality of sentiment analysis. This study focused on analyzing the content, sentiment, and reach of tweets spec
The article deals with defensive structures of only one type – stone castle complexes. The purpose of this study is to compile a list of stone castles that have survived to this day in whole or in ruins on the territory of Western Ukraine, to identify the geography of their distribution, and to highlight the main stages of their emergence.
With the rapid development of information technology, which is widely used in all spheres of human life and activity, extremely large amounts of data have been accumulated today. By applying machine learning methods to this data, new practically useful knowledge can be obtained. The main goal of this paper is to study different machine learning methods for solving the classification problem and compare their efficiency and accuracy.
The National Cybersecurity Cluster of Ukraine is functionally oriented towards building systems to protect various platforms of information infrastructure, including the creation of secure technologies for detecting deepfake modifications of biometric images based on neural networks in cyberspace.
This space proposes a conceptual approach to detecting deepfake modifications, which is deployed based on the functioning of a convolutional neural network and the classifier algorithm for biometric images structured as “sensitivity-Yuden index-optimal threshold-specificity”.
The food industry is going through constant improvements and is subject to analyzing consumer needs, product quality research is essential to striking this balance. In this regard, meat quality, the most essential food category, should be studied with unbiased methods that give precise and correct results. Classification algorithms are considered one of the main components of developing an objective and reliable method of meat quality assessment.