The paper considers the use of neural networks for automating computer graphics tasks and managing IT infrastructure. A comparative analysis of key architectures in both directions is carried out. It is shown that neural network methods consistently outperform classical approaches, but are sensitive to the distribution of input data and require significant computing resources. The general patterns of development of both directions are revealed.
| Mualliflar | Tureniyazova , Asiya, Abiljanova , Manshuk |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-04-25 |
| Jild | 4 |
| Son | 4 |
| Betlar | 64-69 |
| Til | Rus |
| DOI | 10.47390/ts-v4i4y2026n08 |
DOI: 10.47390/ts-v4i4y2026n08 · Maqolaning asl sahifasi
neural networks, deep learning, computer graphics, diffusion models, generative-adversarial networks, transformers, LSTM, graph neural networks, IT management, infrastructure automation, anomaly detection, predictive monitoring, reinforcement learning, image synthesis, resolution enhancement., нейронные сети, глубокое обучение, компьютерная графика, диффузионные модели, генеративно-состязательные сети, трансформеры, LSTM, графовые нейронные сети, ИТ-управление, автоматизация инфраструктуры, обнаружение аномалий, предиктивный мониторинг, обучение с подкреплением, синтез изображений, повышение разрешения.
In this article, the bending process of a thin rectangular plate under the influence of an external static load is studied based on the theory of elasticity and differential equations. The displacements, deformations…
The APHC Framework delivers a scalable, latency-compensated solution for distant robotic telesurgery over LEO satellites like Starlink. Integrating edge-AI prediction and adaptive haptics, it anticipates surgeon intent…
The rapid growth of electric vehicle adoption creates both promising opportunities and serious challenges for contemporary power distribution networks. Uncoordinated EV charging can impose substantial stress on the…
This paper investigates the mathematical modelling of groundwater level variations and the transport of salt concentration within porous media. The filtration behaviour of groundwater is described based on the…
This article presents the theoretical foundations of plow aggregation. Efficient aggregation of plows with tractors in agricultural operations plays an important role in improving soil tillage quality, reducing fuel…
This paper proposes an artificial intelligence system for detecting suspicious individuals in shopping centers and matching them with a database. Using the YOLOv8 model, real-time detection, face recognition, and gender…
This article discusses modern 3D modeling of the pishtaq element of historical monuments and presents a comparative analysis of calculation results. Within the scope of the study, various strengthening methods are…
At the intersection of bioinformatics and multi-agent systems (MAS), the ProteinSync framework is proposed for distributed molecular dynamics simulation of proteins. Computational agents dynamically redistribute atomic…
This research is aimed at studying the effectiveness of reinforcing brick walls using ECC, steel mesh, steel tapes, and zinc sheets to increase their seismic resistance. As a result of experimental and numerical…
Vehicular Ad Hoc Networks (VANETs) represent a specialized class of mobile self-organizing networks designed to support Intelligent Transportation Systems (ITS). The primary purpose of VANETs is to ensure reliable and…
Techscience.uz - техника фанлари долзарб масалалри — barcha maqolalar