Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 326 - 336
Опубликована: Янв. 1, 2024
Язык: Английский
IEEE Access, Год журнала: 2024, Номер 12, С. 29995 - 30019
Опубликована: Янв. 1, 2024
Over the last few decades, technology has been improving dramatically and consequently transformed standard of living socio-economic conditions. The entire process will revolutionize when next advanced technologies be fully functional. Advanced like metaverse, Web 3.0, others necessitate high computing power, invincible security, ultra-fast internet. Despite increasing demand, traditional methods have limitations are not capable satisfying requirements. To solve these tribulations, quantum is shining a light hope. This survey aims to analyze methodology, constraints, potential integrating with metaverse. We begin an overview related terms. then investigate feasibility applying quantum-enabled enhance Furthermore, this also considers middleware for seamless conversion between In subsequent phase survey, our objective discern delineate prospective application domains essence, difficulties present research approaches, open issues consequences additional in-depth investigations highlighted.
Язык: Английский
Процитировано
9
Real Estate Management and Valuation, Год журнала: 2025, Номер unknown
Опубликована: Фев. 26, 2025
Abstract This study explores the motivations of retail investors in Metaverse digital real estate, a rapidly evolving sector that fundamentally differs from traditional estate investments. Using quantitative analysis and Principal Component Analysis (PCA), research identifies key factors influencing investor behavior, including risk tolerance, technological literacy, confidence regulatory frameworks. The findings highlight transformative role advanced technologies such as AR, VR, blockchain shaping investment decisions, emphasizing their ability to enhance engagement, security, monetization opportunities virtual environments. Demographic trends reveal dominance younger, higher-income investors, driven by speculative growth preference for innovative, interactive platforms. Challenges security concerns, uncertainty, nascent nature ecosystem emerge critical barriers broader adoption. underscores need robust governance, enhanced trust, adaptive strategies unlock full potential market. These insights offer foundation future policy-making, guiding stakeholders navigating this dynamic frontier.
Язык: Английский
Процитировано
0
Опубликована: Янв. 11, 2024
Digital transformation in customer onboarding represents a paradigmatic shift the way businesses engage with their clients. This process harnesses power of digital technologies to create seamless and highly efficient experience. The key objectives client include saving time effort, achieving cost savings operational optimization, enhancing overall experience, ultimately increasing revenue. In context onboarding, wide array tools platforms are employed facilitate collection processing information. enables automation previously manual procedures allows offer personalized support throughout journey. Compared traditional methods, offers several distinct advantages. Firstly, it saves valuable effort for both various tasks, such as data entry document verification, streamlines process, allowing clients quickly access products or services they seek. efficiency also translates into significant reduce overheads associated processes, paperwork administrative tasks. Furthermore, leads substantial improvement Clients benefit from faster more convenient reducing likelihood frustration abandonment. enhanced experience fosters satisfaction loyalty, contributing increased revenue through repeat business referrals.
Язык: Английский
Процитировано
2
Опубликована: Янв. 19, 2024
Root canal therapy is a vital dental procedure for salvaging severely decayed or infected teeth, preserving them instead of extracting them, thus averting the risk reinfection. Nonetheless, prevalence root treatment (RCT) failure surprisingly high, potentially leading to painful abscesses and severe infections. This study delves into multifaceted reasons behind RCT failures employs support vector machine (SVM) technology predict longevity. The research dataset comprises 332 manual instances, subjected rigorous 10-fold cross-validation testing accuracy assessment. SVM employed categorize failed cases distinct classes, such as broken instruments, periapical radiolucency, fractures, vertical pulp stones, adequate periodontal support, abscesses, overfilled cavities, perforated underfilled cavities. By scrutinizing interplay between these treatment-failure-causing factors, system discerns their impact on duration. Comparisons are made with other learning models, including logistic regression (LR) naïve Bayes classifier (NB), pinpoint causes in terms accuracy, sensitivity, specificity. Interestingly, emerges top-performing model, an impressive 92.47% rate. investigates longevity, offering crucial insights addressing this common issue. study's findings highlight efficacy identifying causes, providing valuable guidance improving procedures patient outcomes.
Язык: Английский
Процитировано
0
Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 438 - 449
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0
Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 59 - 70
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0
EAI Endorsed Transactions on Internet of Things, Год журнала: 2024, Номер 10
Опубликована: Март 26, 2024
INTRODUCTION: Cloud computing's offshoot, fog computing, moves crucial data storage, processing, and networking capabilities closer to the people who need them. There are certain advantages, such improved efficiency lower latency, but there also some major privacy security concerns. For these reasons, this article presents a new paradigm for computing that makes use of blockchain Artificial Intelligence (AI). OBJECTIVES: The main goal research is create assess thorough framework incorporates AI technology. With an emphasis on protecting integrity transactions streamlining management massive amounts data, project seeks improve Industrial Internet Things (IIoT) systems cloud-based. METHODS: Social network analysis methods utilised in study. accuracy processing guaranteed by application artificial intelligence, most especially Support Vector Machine (SVM), due its resilience classification regression tasks. network's reliability enhanced incorporating technology, which creates decentralised system tamper resistant. To make users' more private, zero-knowledge proof techniques used confirm ownership without actually disclosing it. RESULTS: When applied suggested approach achieves remarkable 99.8 percent. While consensus decision-making process guarantees trustworthy secure operations, support vector machine (SVM) efficiently handles analyses. Even delicate situations, manage keep private. technologies integrated into ecosystem, chances breaches illegal access greatly reduced. CONCLUSION: Fog combines with blockchain, offers powerful answer issues cloud centric IIoT systems. Combining SVM efficient, while blockchain's immutable properties it strong measure. Additional user provided via proofs. Improving networks has never been easier than novel method.
Язык: Английский
Процитировано
0
Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 316 - 325
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0
Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 326 - 336
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0