Published: Feb. 19, 2024
ПОНЯТТЯ ФІНАНСОВОЇ ДІЯЛЬНОСТІ В
International Journal of Computer Science and Information Technology, Journal Year: 2023, Volume and Issue: 1(1), P. 69 - 76
Published: Dec. 30, 2023
As one of the branches machine learning, deep learning model combined with artificial intelligence is widely used in field computer vision technology, and image recognition represented by medical analysis also developing. Its advantage that it does not rely on human annotation, can recognize process feature information omitted beings during training process, so as to achieve or even exceed accuracy processing. Based general lack explain ability caused unknown data processing model, existing solutions mainly include establishment internal ability, attention mechanism interpretation specific models, unknowable models LIME. The way quantitatively assess interpretability still being explored, especially interpretative assessment both doctors patients decision-related several scales have been proposed for reference. current research application imaging generally pays more rather than resulting thus hindering practical clinical models. Therefore, need analyze development how balance develop trust will become focus industry future.
Language: Английский
Citations
52
Applied and Computational Engineering, Journal Year: 2024, Volume and Issue: 71(1), P. 7 - 13
Published: May 30, 2024
AbstractThe development of artificial intelligence has significantly transformed people's lives. However, it also posed a significant threat to privacy and security, with numerous instances personal information being exposed online reports criminal attacks theft. Consequently, the need achieve intelligent protection through machine learning algorithms become paramount concern. Artificial leverages advanced technologies effectively encrypt anonymize data, enabling valuable data analysis utilization while safeguarding privacy. This paper focuses on promotion anonymity as its core research objectives. It achieves detection use learning's differential algorithm. The addresses existing challenges in related protection, offers improvement suggestions, analyzes factors impacting datasets enable timely protection.
Language: Английский
Citations
25
Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 9(2), P. 224 - 229
Published: Feb. 26, 2024
Semantic image segmentation is a crucial task in computer vision, with applications ranging from autonomous driving to medical analysis. In recent years, deep learning has revolutionized this field, leading the development of various neural network models aimed at improving accuracy. One such architecture SegNet, which we explore article.SegNet's consists an encoder network, corresponding decoder and pixel-wise classification layer. The resembling VGG16 13 convolutional layers, extracts high-level features input images. innovation lies network's approach upsampling, utilizing pooled indices encoder's maximum pooling step perform non-linear up sampling. This eliminates need for additional during sampling, making SegNet efficient both storage computation.SegNet represents exciting advancement segmentation. Its architecture, memory-conscious design, potential real-time make it valuable tool field vision promising integrated prospects.
Language: Английский
Citations
21
Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(02), P. 45 - 51
Published: Feb. 28, 2024
With the continuous development of machine learning technology, scientific research biomedical materials is gradually shifting to a data-driven direction. The rise this trend stems from widespread use Bio sequencing which provides entirely new methods and insights for testing evaluating biological function materials. performance have wide range applications in medical applications, drug delivery, biosensors other fields, so it important further optimize them. However, with accumulation increasing complexity data, there need more intelligent efficient ways process analyze heterogeneous data. Therefore, establishment an open, shared infrastructure storing data different fields will be cornerstone cross-disciplinary joint analysis. This not only accelerate collection integration but also provide opportunities collaboration innovation across disciplines. paper highlights research, namely approach, key role technology process. At same time, we call open storage sharing platform promote multidisciplinary cooperation, optimization materials, up broader prospects future applications. effort expected push field heights, providing safer effective treatments programs patients.
Language: Английский
Citations
19
Published: March 1, 2024
In recent years, the expansion of internet technology and advancements in automation have brought significant attention to autonomous driving technology. Major automobile manufacturers, including Volvo, Mercedes-Benz, Tesla, progressively introduced products ranging from assisted-driving vehicles semi-autonomous vehicles. However, this period has also witnessed several traffic safety incidents involving self-driving For instance, March 2016, a Google car was involved minor collision with bus. At time accident, vehicle attempting merge into right lane but failed dynamically respond real-time environmental information during change. It incorrectly assumed that approaching bus would slow down avoid it, leading low-speed This incident highlights current technological shortcomings concerns associated lane-changing behavior, despite rapid Lane-changing is among most common hazardous behaviors highway driving, significantly impacting flow. Therefore, crucial for safety, accurately predicting drivers' change intentions can markedly enhance safety. paper introduces deep learning-based prediction method aiming facilitate safe changes thereby improve road
Language: Английский
Citations
19
Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(02), P. 31 - 37
Published: Feb. 28, 2024
In modern software development and operations, DevOps (a combination of operations) has become a key methodology aimed at accelerating delivery, improving quality enhancing security. Meanwhile, artificial intelligence (AI) machine learning (ML) are also playing an increasingly important role in cybersecurity, helping to identify respond complex threats. this article, we'll explore how AI ML can be integrated into practices ensure the security operations processes. We'll cover best practices, including use for security-critical tasks such as threat detection, vulnerability management, authentication. addition, we will provide several case studies that show these technologies have been successfully applied real projects they improved security, reduced risk accelerated delivery. Finally, through readers learn fully leverage process improve reduce potential risks, more reliable solutions operations.
Language: Английский
Citations
18
Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 9(2), P. 193 - 198
Published: Feb. 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.
Language: Английский
Citations
17
International Journal of Computer Science and Information Technology, Journal Year: 2023, Volume and Issue: 1(1), P. 147 - 156
Published: Dec. 30, 2023
As a representative of the information revolution, Internet began in 1960s when ARPANET was born, and after decades development evolution, today it has formed global connection interaction network. The greatest value is that everyone can communicate cooperate real time across limitations space, which greatly improves efficiency group communication collaboration, then changes organization operation mode people's work, business social activities, ultimately promotes advancement human productivity. Therefore, major research program interpretable universal next generation artificial intelligence methods faces strategic needs country intelligence, takes basic science issues as core, develops new method system personnel training China, supports China's leading position round international scientific technological competition. In this paper, innovation application space are summarized, advanced algorithms analyzed.
Language: Английский
Citations
26
International Journal of Computer Science and Information Technology, Journal Year: 2023, Volume and Issue: 1(1), P. 139 - 146
Published: Dec. 30, 2023
Drugs, AIDS and terrorism are the three major public hazards in world. Drug abuse seriously endangers social security human life health. The World Report 2023 shows that continued record supply of illicit drugs increasingly flexible trafficking networks exacerbating global crisis posing challenges for health services law enforcement responses. number people injecting worldwide 2021 is estimated to be 13.2 million, 18% higher than previous estimates. At present, world drug control situation very serious, it necessary increase means solve problem curb spread drugs, efficient accurate detection technology plays a important role work. NPS, also known as "planning drugs" or "laboratory drugs", analogue obtained by chemical structure modification controlled criminals order evade crackdown. It has similar stronger excitatory, hallucinogenic, narcotic other effects with become third-generation popular after traditional synthetic drugs. Therefore, through based on artificial intelligence machine learning technology, current development AI "drug detector" future space analyzed.
Language: Английский
Citations
23
Journal of Theory and Practice of Engineering Science, Journal Year: 2024, Volume and Issue: 4(02), P. 58 - 65
Published: Feb. 28, 2024
As the expression products of genes and macromolecules in living organisms, proteins are main material basis life activities. They exist widely various cells have functions such as catalysis, cell signaling structural support, playing a key role activities functional execution. At same time, study protein can better grasp from molecular level, has important practical significance for disease management, new drug development crop improvement. Due to advances high-throughput sequencing technology, sequence data grown exponentially. The function prediction problem be seen multi-label binary classification by extracting features given mapping them label space. A variety sources mined obtain features, sequence, structure, family, interaction network, etc. initial steps classical sequence-based methods, BLAST, which calculate similarity between sequences transmit annotations whose scores exceed specific threshold. This method great limitations without similarity. Therefore, this paper analyzes prospect bioanalysis artificial intelligence through application status realization path AlphaFold2 algorithm based on intelligence.
Language: Английский
Citations
14