Гомельский государственный технический университет имени П.О.Сухого

Новые поступления электронной библиотеки

Yurevich, V. A.

Artificial intelligence is transforming healthcare by improving disease diagnosis and treatment
efficiency. It enables faster, more accurate decision-making, which is crucial as patient volumes increase.
However, ethical standards and verification challenges must be addressed for successful integration. Ongoing
advancements are vital for maximizing AI's impact.

2025-05-30
Tamkov, A. D.

The paper briefly demonstrates the method of calculating loop integrals of quantum
electrodynamics using the example of a one-loop diagram of an electron line. It is shown that the
procedure of Feynman parameterization with subsequent dimensional regularization can be used for such
calculations.

2025-05-30
AL-fafif, Sh. M.

The modernization of Yemeni music blends tradition with innovation, utilizing
technology to reach wider audiences and engage communities. Artists fuse traditional sounds
with contemporary genres, preserving cultural heritage while adapting to global influences.
This evolution highlights the importance of maintaining authenticity amidst change, ensuring
the continued relevance of Yemeni music.

2025-05-30
AL-Manbari, S. F. M. L.

This mini-review explores the impact of technology on the advancement of the medical field, highlighting
key innovations such as telemedicine, artificial intelligence, wearable devices, and the Internet of Things. These
technologies enhance patient care by improving accessibility, accuracy, and engagement. Despite their benefits,
challenges like data privacy and the digital divide require attention to ensure equitable access to healthcare.
Ongoing investment and collaboration are essential for realizing the full potential of these advancements.

2025-05-30
Al-shameri, S. A. S. N.

This mini review evaluates the potential of electricity supply technology for a steam power station in Mokha City,
Yemen. It examines the current energy crisis, highlighting the significant gap between demand and supply. The report discusses
the benefits of modern steam power technologies, including reliability, scalability, and the potential for renewable integration.
Key challenges such as infrastructure limitations, operational costs, and political instability are also addressed. The findings
suggest that strategic investments and training are essential for enhancing energy security in the region.

2025-05-30
Al -Haddad, N. S. O.

The integration of artificial intelligence (AI) into project management processes has seen significant
advancements, offering new opportunities to enhance efficiency, decision-making, and operational productivity in the
IT sector. This study focuses on the dynamics of human-AI collaboration to achieve optimal integration between human
skills and AI capabilities, while analyzing socio-technical factors such as trust, communication, role division, and
organizational culture. The study aims to identify best practices and develop a framework to enable this integration,
providing practical insights for project managers, AI developers, and organizations seeking to effectively leverage AI
tools.

2025-05-30
AL-Aimiri, M. A. M. K.

This mini report presents the design and implementation of a portable weather station utilizing the ESP32
microcontroller for real-time monitoring of environmental parameters, specifically temperature, humidity, and rainfall.
The system incorporates various sensors and an OLED display for data visualization, providing users with immediate
access to weather conditions. The low-power capabilities of the ESP32, combined with its Wi-Fi connectivity, enable
remote data access and logging, making this weather station an effective tool for both enthusiasts and professionals in
meteorology.

2025-05-30
AL-Aimiri, M. A. M. K.

The rapid advancement in computer vision and deep learning has paved the way for innovative
applications in food recognition. This mini report presents a comprehensive approach to developing a Fruits and
Vegetable Recognition System using Convolutional Neural Networks (CNNs). The system not only identifies various
fruits and vegetables but also provides users with recipe suggestions based on the recognized items. The integration
of image processing techniques with a user-friendly interface enhances the cooking experience, promoting healthier
eating habits.

2025-05-30
Кудрин, Б. И., Прокопчик, В. В., Иванова, Н. В.
2025-05-29

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