MODERN THOUGHTS ON THE DEVELOPMENT OF SCIENCE: IDEAS, TECHNOLOGIES AND THEORIES DOI Open Access

Denis Vladlenov

Published: March 25, 2024

Здобувач факультету природничої

Predict and Optimize Financial Services Risk Using AI-driven Technology DOI Creative Commons
Jinxin Xu, Han Wang,

Yuqiang Zhong

et al.

Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(1), P. 299 - 304

Published: March 26, 2024

With the rapid development of internet technology, many industries have embarked on a digital transformation. However, while Internet has brought convenience to users, it also become breeding ground for criminals commit fraud. On one hand, large number users more or less left data, can use this information practice accurate fraud improve success rate fraud; other online financial transactions such as banking and e-commerce provide opportunities Therefore, all kinds methods emerge in an endless flow, through telephone, information, fishing means fraud, not only bring hundreds millions losses society every year, but security people's lives huge threat. Monitoring preventing is important part cybersecurity industry. For known network based domain name phishing site, account mobile phone that send fraudulent simple effective monitoring defence be carried out blacklist. difficult traditional effectively defend against undocumented machine learning main research direction detection discover sources characteristics content make real-time continuous judgments. This paper realises credit by generating adversarial so prevent risks.

Language: Английский

Citations

31

Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis DOI Creative Commons
Haotian Zheng,

Kangming Xu,

Huiming Zhou

et al.

Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(1), P. 62 - 68

Published: March 26, 2024

Natural Language Processing (NLP) is an interdisciplinary field of computer science, artificial intelligence, and linguistics that focuses on the ability computers to understand, process, generate, simulate human language in order achieve have natural conversations with humans. The underlying principles processing are at multiple levels, including linguistics, statistics. It involves study structure, semantics, grammar pragmatics, as well statistical analysis modeling large-scale corpora. In process concrete implementation, it necessary levels. Based this, this paper combined deep learning technology conduct sentiment patients' comments, so recommend drugs more suitable for patients, thus achieving accurate drug prescribing personalized recommendation.

Language: Английский

Citations

19

User Interaction Interface Design and Innovation Based on Artificial Intelligence Technology DOI Creative Commons
Xuanyi Li, Haotian Zheng,

Jianlong Chen

et al.

Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(03), P. 1 - 8

Published: March 19, 2024

At a time when artificial intelligence is widely used in all walks of life, the way users interact with digital world also needs to incorporate intelligent elements reduce cost connectivity. This can be quantified through "experience metrics", which reveal problems encounter using interface (UI), and make targeted optimization. With AI, deep learning prediction user behavior achieved anticipate address potential barriers use UI design. will not only improve experience, but promote development design more user-friendly direction. Through accurate analysis experience indicators combined AI technology optimize design, gap between greatly reduced, making products suitable for achieving seamless interactive experience.

Language: Английский

Citations

17

Deep Learning-Based Recognition and Visualization of Human Motion Behavior DOI Creative Commons

Guoqing Cai,

Quan Zhang,

Beichang Liu

et al.

Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(1), P. 50 - 55

Published: March 26, 2024

Human behavior recognition refers to the classification task of identifying specific actions human characters based on characteristics body and completed through a algorithm. It has wide range applications in intelligent surveillance, video retrieval so on. The main challenge this direction is accurately extract semantic information each describe its dynamic changes space time. Therefore, article introduces latest research progress field recognition. Through deep learning techniques, particularly convolutional neural networks recurrent networks, movements data can be effectively identified. However, models lack interpretability, which practical applications. researchers also introduce application traditional methods learning-based recognition, explore advantages processing multi-time scale introducing attention mechanisms. Finally, paper summarizes potential technology combined with multimodal behavioral analysis, provides prospects for smart fitness, health care other fields.

Language: Английский

Citations

9

Integration Methods and Advantages of Machine Learning with Cloud Data Warehouses DOI Creative Commons

Hanzhe Li,

Xiangxiang Wang, Feng Yuan

et al.

International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(1), P. 348 - 358

Published: March 24, 2024

A data warehouse is a subject-oriented, integrated, relatively stable collection of that reflects historical changes and used to support management decisions. Common tools for building are IBM Cognos SAP BO. However, both the above use centralized single-node mode build warehouses. This type has poor scalability, due rapid increase in scale Internet, traditional warehouses can no longer meet actual needs use. paper mainly introduces integration cloud machine learning as well importance application parallel methods. First, describes how combination warehousing promote business innovation output. It then discusses challenges managing models production environments, role addressing these challenges. Subsequently, computing Snowflake, implementation steps processes approach also introduced detail. Finally, results method analyzed, it considered good prospect development potential warehouse.

Language: Английский

Citations

8

Application of Conversational Intelligent Reporting System Based on Artificial Intelligence and Large Language Models DOI Creative Commons
Hong Zhou,

KangMing Xu,

Qiaozhi Bao

et al.

Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(03), P. 176 - 182

Published: March 25, 2024

As large language models gain traction in the financial sector, they are revolutionizing workflows of professionals. From data analysis and market forecasting to risk assessment customer management, these demonstrate significant potential value. By automating processing tasks, enhance productivity empower professionals derive deeper insights make more precise decisions. This article explores application conversational intelligent reporting systems, leveraging artificial intelligence models, within industry. It examines how systems streamline processes, facilitate efficient communication, contribute informed decision-making, ultimately reshaping landscape operations.

Language: Английский

Citations

8

AI-driven Protein Engineering for DNA Sequence Modification DOI Creative Commons

Luqi Lin,

Zhengrong Cui, Sihao Wang

et al.

Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(03), P. 183 - 190

Published: March 25, 2024

The integration of artificial intelligence (AI) with gene editing technologies like CRISPR-Cas9 holds immense promise for advancing biomedical research and personalized medicine. This article highlights the crucial role AI in predicting minimizing off-target effects, thereby enhancing precision efficiency editing. Researchers have developed algorithms BE-DICT to accurately predict base outcomes, showcasing potential AI-driven strategies optimizing processes. By combining bioengineering, this interdisciplinary approach aims automate refine DNA modifications, paving way innovative applications therapy biofabrication. Ultimately, endeavors revolutionize life sciences field, leading significant breakthroughs healthcare biotechnology.

Language: Английский

Citations

5

Intelligent Security Detection and Defense in Operating Systems Based on Deep Learning DOI Creative Commons
Hongbo Wang, Jian Wu, Chenwei Zhang

et al.

International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(1), P. 359 - 367

Published: March 24, 2024

With the development of network technology, APT(advanced persistentthreat) attacks are increasing, and research on security enterprise assets requires effective detection digital in space management through screening combing, which is key to real-time monitoring safe operation system. However, accompanying malware also poses a threat user's property privacy, so an method detecting Android necessary. In this direction, although feature processing capability traditional machine learning has been improved, there problems that extraction relies expert experience accuracy low. Therefore, paper combines deep reinforcement technology with operating system detect defend advance, as achieve security.

Language: Английский

Citations

4

ADVANCED TECHNOLOGIES FOR THE IMPLEMENTATION OF EDUCATIONAL INITIATIVES DOI Open Access

Denis Vladlenov

Published: March 18, 2024

Сумський національний аграрний університетСоя -стародавня сільськогосподарська культура, яку почали вирощувати декілька тисячоліть назад.Це цінна зернобобова яка за вмістом поживних речовин у зерні не має собі рівних.Останні десятиліття відзначаються значним розвитком виробництва цієї культури.Новий етап використанні сої в харчовій індустрії -вдосконалення технології одержання текстурованих продуктів із сої, виробництво білкових гранул і волокон з наступним їх оформленням різні види харчових продуктів.В цілому виробляють більше чотирьохсот видів продуктів.Білок модифікованої є єдиним рослинних білків, який містить майже всі незамінні амінокислоти, необхідні для синтезу амінокислот організмі людини [1, 4

Citations

0

Proceedings of the XI International Scientific and Practical Conference DOI Creative Commons

Пономаренко Дар'я Володимирівна,

Mahammad Allahverdi Bayramov,

I. I. Mustafayev

et al.

Published: March 18, 2024

Сумський національний аграрний університетСоя -стародавня сільськогосподарська культура, яку почали вирощувати декілька тисячоліть назад.Це цінна зернобобова яка за вмістом поживних речовин у зерні не має собі рівних.Останні десятиліття відзначаються значним розвитком виробництва цієї культури.Новий етап використанні сої в харчовій індустрії -вдосконалення технології одержання текстурованих продуктів із сої, виробництво білкових гранул і волокон з наступним їх оформленням різні види харчових продуктів.В цілому виробляють більше чотирьохсот видів продуктів.Білок модифікованої є єдиним рослинних білків, який містить майже всі незамінні амінокислоти, необхідні для синтезу амінокислот організмі людини [1, 4

Citations

0