Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising

Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 9(2), P. 215 - 220

Published: Feb. 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

Language: Английский

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SegNet Network Architecture for Deep Learning Image Segmentation and Its Integrated Applications and Prospects

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

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Enhancing Security in DevOps by Integrating Artificial Intelligence and Machine Learning

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

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Autonomous Driving System Driven by Artificial Intelligence Perception Fusion

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

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Application of the AlphaFold2 Protein Prediction Algorithm Based on Artificial Intelligence

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

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Clinical Medical Detection and Diagnosis Technology Based on the AlexNet Network Model

Academic Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 9(2), P. 207 - 211

Published: Feb. 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.

Language: Английский

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Computer Vision and Deep Learning Transforming Image Recognition and Beyond

International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(1), P. 45 - 51

Published: March 6, 2024

Computer vision is a cutting-edge information processing technology that seeks to mimic the human visual nervous system. Its primary aim emulate psychological processes of interpret and depict objective scenery. This revolutionary field encompasses wide range applications, including life sciences, medical diagnosis, military operations, scientific research, many others. At heart computer lies theoretical core, which includes deep learning, image recognition, target detection, tracking These elements combine enable computers process, analyze, understand images, allowing for classification objects based on various patterns One standout advantages learning techniques, when compared traditional methods, their ability automatically learn adapt specific features required given problem. adaptive nature networks has opened up new possibilities paved way remarkable breakthroughs in vision. paper examines practical application convolutional neural (CNNs) elucidates advancements artificial intelligence within recognition. It does so by showcasing tangible benefits functionalities these technologies.

Language: Английский

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Machine Learning-Based Medical Imaging Detection and Diagnostic Assistance

International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(1), P. 36 - 44

Published: March 6, 2024

With the development of medical technology, imaging technology plays an increasingly important role in diagnosing and monitoring diseases. At same time, machine learning has shown strong capabilities data processing analysis, providing new possibilities for detection auxiliary diagnosis images. This paper will deeply discuss application images, especially deep how to achieve effective image through steps such as preprocessing, feature extraction, model training optimization.

Language: Английский

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Enhancing intelligent marketing systems: a multi-layer hypernetwork approach integrating evidence theory for influential node identification

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Purpose This study proposes an intelligent marketing system model based on a combination of multi-layer hypernetworks and evidence theory, aiming to address the shortcomings traditional models in accurately identifying key nodes. We propose new method improve accuracy response speed systems by combining theory with hypernetworks. conducted experiment using certain car brand (SUV) as example, which has wide customer base both domestic international markets branches multiple countries. By analyzing its sales data user behavior, we evaluated potential reduction advertising costs improvement satisfaction that may result from adopting this model. Design/methodology/approach The proposed begins development interest model, is subsequently converted into label behavior rating matrix. A aggregation hypernetwork then constructed define network’s topology. An identification framework established Dempster–Shafer (D-S) applied integrate local, positional global network indicators. Simulation experiments are evaluate model’s performance. Findings integrates limitations influential tested automotive industry, specifically well-known SUV operating globally. industry provides complex competitive environment ideal for validating ability precision. results demonstrate significantly enhances node identification, reduces 10–15% improves scores over 90%. Furthermore, preliminary retail e-commerce sectors highlight adaptability broader application. indicators, effectively optimizes strategies, providing novel decision-making diverse industries. selected experimental subject. mainly sells worldwide. Its products known their high performance reliability. millions customers, main include North America, Europe Asia. It countries significant influence. According publicly available data, brand’s annual revenue reaches billions dollars. Originality/value contribution research proposal optimization can solve problems silos information asymmetry faced systems.

Language: Английский

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The Future of Digital Marketing: AI-Driven Predictive Models for Hyper-Personalized Customer Experiences

Journal of Informatics Education and Research, Journal Year: 2025, Volume and Issue: 5(1)

Published: Jan. 17, 2025

In today's digital world, businesses engage in what is known as marketing, which encompasses a range of strategies for interacting with customers online. All these all-encompassing plans aim to attract, retain, and delight via variety means, including search engine optimization social media marketing. The effectiveness hinges on the concept customer experience, entirety consumer's interactions brand across many touchpoints. From initial stage browsing help provided after purchase, every interaction shapes customer's impression firm. It essential prioritize great client experiences order increase loyalty encourage repeat business, satisfied consumers are more inclined suggest firm remain loyal over time. Customers brands because those consistently provide them exceptional that surpass their expectations develop personal connection brand. Digital marketing has significant impact connections it allows organizations personalize content, deliver personalized messages, facilitate seamless cross-channel engagements.

Language: Английский

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