Опубликована: Март 25, 2024
Здобувач факультету природничої
Hybrid Advances, Год журнала: 2024, Номер 7, С. 100277 - 100277
Опубликована: Авг. 23, 2024
Artificial Intelligence (AI) technology's rapid advancement has significantly changed various industries' operations. This comprehensive review paper aims to provide readers with a deep understanding of AI's applications & implementations, workings, and potential impacts across different sectors. It also discusses its future, threats, integration into new policy. Through extensive research on more than 200 many other sources, the authors have made every effort present an accurate overview numerous AI nowadays in industries such as agriculture, education, autonomous systems, healthcare, finance, entertainment, transportation, military, manufacturing, more. The explores technologies, including machine learning, robotics, big data, Internet Things, natural language processing, image object detection, virtual reality, augmented speech recognition, computer vision. provides real-world examples their implementations. Moreover, it highlights evaluates future potential, challenges, limitations associated widespread use AI. Our study incorporates latest offer nuanced benefits challenges. data-driven case immense technology addresses ethical, societal, economic considerations related implementation.
Язык: Английский
Процитировано
94
Academic Journal of Science and Technology, Год журнала: 2024, Номер 10(1), С. 33 - 39
Опубликована: Март 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.
Язык: Английский
Процитировано
33
Journal of Theory and Practice of Engineering Science, Год журнала: 2024, Номер 4(03), С. 1 - 8
Опубликована: Март 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.
Язык: Английский
Процитировано
23
Academic Journal of Science and Technology, Год журнала: 2024, Номер 10(1), С. 62 - 68
Опубликована: Март 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.
Язык: Английский
Процитировано
19
International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 2(1), С. 52 - 58
Опубликована: Март 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.
Язык: Английский
Процитировано
13
Journal of Social Science and Humanities, Год журнала: 2024, Номер unknown
Опубликована: Март 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.
Язык: Английский
Процитировано
11
Academic Journal of Science and Technology, Год журнала: 2024, Номер 10(1), С. 50 - 55
Опубликована: Март 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.
Язык: Английский
Процитировано
11
Journal of Theory and Practice of Engineering Science, Год журнала: 2024, Номер 4(03), С. 163 - 171
Опубликована: Март 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.
Язык: Английский
Процитировано
9
International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 2(1), С. 348 - 358
Опубликована: Март 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.
Язык: Английский
Процитировано
8
Journal of Theory and Practice of Engineering Science, Год журнала: 2024, Номер 4(03), С. 176 - 182
Опубликована: Март 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.
Язык: Английский
Процитировано
8