Опубликована: Март 25, 2024
Здобувач факультету природничої
Academic Journal of Science and Technology, Год журнала: 2024, Номер 9(2), С. 215 - 220
Опубликована: Фев. 26, 2024
In the current era of technology, big data has become increasingly accurate in understanding individuals' interests and needs. Personalized advertising recommendations have a reality through use deep learning intelligent algorithms. Whether it is shopping app suggesting your favorite style clothes or receiving relevant news feeds after discussing hot pot with friends, these are not coincidences but result machine learning. Machine revolutionized by providing outstanding performance. It replaced traditional approach that relied on experience intuition practitioners. Powerful processing analysis capabilities used to extract potential associations patterns from massive amounts data, new possibilities for advertisers marketers. This includes applications such as idea generation, recommendation optimization, bid strategy which injected vitality into industry. The science targeted yielded impressive results, offering users more precise targeting engaging experiences. field holds great promise potential, will undoubtedly continue shape future
Язык: Английский
Процитировано
39
Academic Journal of Science and Technology, Год журнала: 2024, Номер 10(1), С. 74 - 80
Опубликована: Март 26, 2024
This research explores the intersection of artificial intelligence and finance, focusing on emergence intelligent investment advisers, commonly known as Robo-advisers (RAs). These RAs utilize robust computer models algorithms to deliver personalized asset management plans for users. Notably, Wealthfront is highlighted a prominent platform in this field, offering automated services aimed at optimizing returns. The study investigates impact users' past performance their adoption considering factors such previous defaults recent performance. It reveals that frequent adjustments use advisers may hinder long-term objectives, emphasizing importance consistent usage fully capitalize benefits. Furthermore, emphasizes significance transparency, user-friendly interaction design, tailored financial foster user trust enhance optimization advisers' design.
Язык: Английский
Процитировано
36
Academic Journal of Science and Technology, Год журнала: 2024, Номер 10(1), С. 299 - 304
Опубликована: Март 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.
Язык: Английский
Процитировано
32
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
Academic Journal of Science and Technology, Год журнала: 2024, Номер 9(2), С. 193 - 198
Опубликована: Фев. 26, 2024
Perception, as the information input module of automatic driving system, determines lower limit entire system. Both autonomous perception and robot are constantly approaching real physical world through digital methods, this is only limited to scope human perception, such lane lines, traffic lights, obstacles, so on. The main premise process that humans already know categories or properties world, allow machines systems replicate responses. Whether it a pure visual route multi-source fusion route, essence difference between perceptual system schemes, one focusing on vertical other horizontal. vision solution represented by Tesla sensor file Waymo. In fact, usually has multiple sensors achieve redundancy complementarity dimensions, but there possibility conflict different sensors. This paper aims at advantages perception-driven artificial intelligence breakthroughs in innovation, analyzes how drive applied practical application driving, analyze future development prospects intelligence.
Язык: Английский
Процитировано
17
International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 2(1), С. 10 - 17
Опубликована: Март 4, 2024
The development of advanced optoelectronic vision sensors for high-level image recognition and data preprocessing is poised to accelerate the progress machine mobile electronic technology. Compared traditional sensory computing methods, such as analog-to-digital signal conversion digital logic computation tasks (i.e., Von Neumann computing), neural morphological can significantly improve energy efficiency processing speed by minimizing unnecessary raw transmission between front-end photosensitive back-end processors. Neural are typically designed denoising, edge enhancement, spectral filtering, visual information recognition. These methods be categorized into approaches using near-sensor sensor-internal processors based on whether performed in situ. In approaches, sensor capturing memory processor captured images separate. A simultaneously perform analog functions. in-sensor constructed single-element sensors, enabling both reception execution processes achieved same device. This represents an ideal scenario future artificial intelligence machines devices systems.
Язык: Английский
Процитировано
16
International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 2(1), С. 18 - 27
Опубликована: Март 4, 2024
With the rapid development of information technology, multiple time series forecasting, which is typical traffic flow has become increasingly important in big data analysis. As cornerstone intelligent transportation system, forecasting scientific research value and practical application for urban operation scheduling, quality efficiency improvement logistics industry public travel planning. Traffic prediction always an task system. Due to complex temporal spatial dependence sequence, it very challenging construct accurate its ring neural network, graph network Transformer model. Much existing work based on good models. Considering advantages convolutional networks, such as high computational strong feature extraction ability, a model multi-view spatiotemporal convolution proposed.
Язык: Английский
Процитировано
13
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
Academic Journal of Science and Technology, Год журнала: 2024, Номер 9(2), С. 207 - 211
Опубликована: Фев. 26, 2024
With the rapid development of deep learning technology, its application in medical field is more and extensive. This paper mainly discusses clinical detection diagnosis technology based on AlexNet network model. first introduces basic principle characteristics model, then summarizes field, elaborates implementation process including data preprocessing, model training optimization. Finally, effectiveness reliability this technique are verified by experiments, future prospected.
Язык: Английский
Процитировано
12
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