Published: March 25, 2024
Здобувач факультету природничої
Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(1), P. 33 - 39
Published: March 26, 2024
In today's increasingly digital financial landscape, the frequency and complexity of fraudulent activities are on rise, posing significant risks losses for both institutions consumers. To effectively tackle this challenge, paper proposes a machine learning-based K-means clustering method to enhance accuracy efficiency fraud detection. By vast amounts transaction data, we can identify anomalous patterns behaviors in timely manner, thereby detecting potential fraud. Compared traditional rule-based detection methods, approaches better adapt ever-evolving techniques while improving flexibility precision Moreover, also aids optimizing resource allocation within by enabling focused monitoring prevention efforts high-risk areas, thus mitigating impact overall system. summary, holds promising prospects application field as it strives establish more secure reliable environment finance industry.
Language: Английский
Citations
30
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
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
International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(1), P. 52 - 58
Published: March 13, 2024
The advent of Artificial Intelligence (AI) and Machine Learning (ML), particularly deep learning, has escalated the demand for computing resources. However, high hardware requirements pose challenges companies, compelling them to outsource ML tasks cloud. Nevertheless, concerns about cloud trustworthiness limit such applications. Encrypting data before uploading it is a straightforward solution ensure security. traditional encryption schemes render ciphertext unable participate in operations within domain, posing analysis. This paper delves into pivotal role homomorphic addressing critical issue privacy protection machine learning.
Language: Английский
Citations
13
Journal of Social Science and Humanities, Journal Year: 2024, Volume and Issue: unknown
Published: March 14, 2024
The purpose of this study is to explore the intelligent application design based on artificial intelligence and adaptive interface. First, we outline basic principles technology its important role in design, as well concepts interface design. Then, by analyzing practical cases, discuss close combination UI page including practices fields recommendation system, voice assistant search engine. Through these case studies, delve into how AI interfaces can work together drive smart personalized Finally, summarize research results look forward development trend direction future.
Language: Английский
Citations
11
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
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
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
Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(03), P. 163 - 171
Published: March 19, 2024
With the rapid development of Internet technology, cloud computing technology has gradually entered people's lives. Cloud provides users with various IT resources (computing, storage, etc.) in data centers all over world through Internet. Currently, there are hundreds thousands servers large-scale centers, and effective management such is a major problem academia industry. This article explores importance pervasive use machine learning today's landscape. As global market size application technologies continue to grow, demand for storage also increasing. paper aims solve challenges resource requirements learning, puts forward solution how give full play advantages platform combine algorithms technologies. Through practical case studies, we highlight scenarios, look future trend.
Language: Английский
Citations
8
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