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International conference on Marketing and Technologies, ICMarkTech 2023

作者： Lapresta-Romero, Sara Hernández-Ortega, Blanca University of Zaragoza Gran Vía 2 Zaragoza50005 Spain

ISBN: (纸本)9789819736973

visual-based social networks highlight the importance of generating an adequate visual firm-generated content, which promotes new interactions focused on ephemeral formats. This study aims to examine visual firm-generated content published on ephemeral content on social networks and its role in the extension of the customer journey. We recognize four elements that cover the whole of post design: brand cohesiveness, authenticity, informativeness, and emotionality. We elaborate a dataset from a prominent operator of tourism resorts in Europe consisting of 525 Instagram stories published between February and March 2019. data are examined and structured by observation. We use Artificial Intelligence (AI) and computerized text analysis tools to evaluate the content. We develop a two-equation seemingly unrelated regression (SUR) model. Our results show that brand cohesiveness, authenticity, and informativeness positively influence the extension of customer journey. Our findings support brand managers in creating successful visual firm-generated content for the extension of customer journeys on social networks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Sales

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visual analysis of Project Investment Decision Information Platform based on FCM Algorithm 6

Visual Analysis of Project Investment Decision Information P...

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6th International conference on Inventive Computation Technologies, ICICT 2023

作者： Song, Menglan Anhui Sanlian University Anhui Hefei230601 China

ISBN: (纸本)9798350398496

This study conducts avisual analysis of project investment decision information platform based on the FCM algorithm. The FCM algorithm has the advantages of simple principle and high accuracy. At present, the research mainly focuses on the simple scenarios where the FCM algorithm needs to artificially specify the number of clusters. Hence, for the better improvement of the model, novel data analysis model is considered to enhance the traditional FCM. The visual analysis of decision making is selected as the testing scenario. Based on the experiment, the overall performance is validated. © 2023 IEEE.

关键词： Investments

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CKD NET: Chronic Kidney Disorders Distinction Model 2

CKD NET: Chronic Kidney Disorders Distinction Model

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2nd International conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Prasad, Arpana Asha, v. Nirmala, A.P. Akash, v. Chethan, S.G. Naik, Chintan S New Horizon College of Engineering Master of Computer Application Bengaluru India

ISBN: (纸本)9798350327533

Habitual Renal complaint is a condition that causes a progressive drop in renal function. It refers to a clinical reality that causes renal dysfunction, indecorous complaint opinion, and treatment can affect in unrecoverable renal complaint with veritably short chances of survival. Artificial Intelligence (AI) technologies equip healthcare providers with a rich set of algorithms to prognosticate the habitual development of conditions. previous information helps to enable visionary corrective measures. This exploration study intends to develop an effective tool for prognosticating CKD using machine learning approaches. A machine literacy model is proposed and presented to address the on-uniform distribution of cases through class balancing, point ranking and analysis, and classifier training. © 2024 IEEE.

关键词： Kidney Disease Machine Learning Neural Network Prediction Module ROC Curve

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World to Code: Multi-modal data Generation via Self-Instructed Compositional Captioning and Filtering

World to Code: Multi-modal Data Generation via Self-Instruct...

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2024 conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Wang, Jiacong Wu, Bohong Jiang, Haiyong Zhou, Xun Xiao, Xin Guo, Haoyuan Xiao, Jun School of Artificial Intelligence University of Chinese Academy of Sciences China ByteDance Inc. China

ISBN: (纸本)9798891761643

Recent advances in vision-Language Models (vLMs) and the scarcity of high-quality multimodal alignment data have inspired numerous researches on synthetic vLM data generation. The conventional norm in vLM data construction uses a mixture of specialists in caption and OCR, or stronger vLM APIs and expensive human annotation. In this paper, we present World to Code (W2C), a meticulously curated multi-modal data construction pipeline that organizes the final generation output into a Python code format. The pipeline leverages the vLM itself to extract cross-modal information via different prompts and filter the generated outputs again via a consistency filtering strategy. Experiments have demonstrated the high quality of W2C by improving various existing visual question answering and visual grounding benchmarks across different vLMs. Further analysis also demonstrates that the new code parsing ability of vLMs presents better cross-modal equivalence than the commonly used detail caption ability. Our code is available at https://***/foundation-multimodalmodels/World2Code. © 2024 Association for Computational Linguistics.

关键词： visual languages

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Safety and effectiveness of butorphanol in epidural labor analgesia:A protocol for a systematic review and meta-analysis

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World Journal of Clinical Cases 2024年第8期12卷 1416-1421页

作者： Guan-Cheng Tang Man He Zhen-Zhao Huang Yan Cheng Department of Anesthesiology Yongkang Hospital of Traditional Chinese MedicineJinhua 321301Zhejiang ProvinceChina Department of Gynecology and Obstetrics Yongkang Hospital of Traditional Chinese MedicineJinhua 321301Zhejiang ProvinceChina Department of Anesthesiology Hangzhou United Liger Sixth Medical Beauty HospitalHangzhou 311215Zhejiang ProvinceChina Department of Ultrasound Hangzhou Women’s HospitalHangzhou 310008Zhejiang ProvinceChina

BACKGROUND Epidural analgesia is the most effective analgesic method during *** administered epidurally has been shown to be a successful analgesic method during ***,no comprehensive study has examined the safety and efficacy of using butorphanol as an epidural analgesic during *** To assess butorphanol's safety and efficacy for epidural labor *** The PubMed,Cochrane Library,EMBASE,Web of Science,China National Knowledge Infrastructure,and Google Scholar databases will be searched from *** types of literature,such as conference abstracts and references to pertinent reviews,will also be *** will include randomized controlled trials comparing butorphanol with other opioids combined with local anesthetics for epidural analgesia during *** will be no language *** primary outcomes will include the visual analog scale score for the first stage of labor,fetal effects,and Apgar *** independent reviewers will evaluate the full texts,extract data,and assess the risk of *** bias will be evaluated using Egger's or Begg's tests as well as visual analysis of a funnel plot,and heterogeneity will be evaluated using the Cochran Q test,P values,and I2 ***-analysis,subgroup analysis,and sensitivity analysis will be performed using RevMan software version *** protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)Protocols statement,and the PRISMA statement will be used for the systematic *** This study provides reliable information regarding the safety and efficacy of using butorphanol as an epidural analgesic during *** To support clinical practice and development,this study provides evidence-based findings regarding the safety and efficacy of using butorphanol as an epidural analgesic during labor.

关键词： Epidural analgesia during labor Butorphanol Safety Protocol Meta-analysis

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Principal Component analysis visualization and State Discovery with Soil data 12

Principal Component Analysis Visualization and State Discove...

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12th IEEE International conference on Intelligent data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023

作者： Sirola, Miki Koskinen, Markku Polvinen, Tatu Pihlatie, Mari University of Helsinki HelsinkiFI-00014 Finland

ISBN: (纸本)9798350358056

data exploration helps to gain understanding of the dataset and the system itself. There are methodologies to handle large number of sensors as well. In this paper operational states are defined to interpret physical behaviour in a soil ecosystem. Dimensionality reduction is achieved with Principal Component analysis (PCA) method giving another view to the soil dataset from spring term. K-means algorithm groups data densities by clustering the data. This grouping is the basis for defining operational states in the system. Soil data as a part of an ecosystem involves specific features. In the applied approach dynamic visualization including animations constitute an important exploration view. All experiments are realized in Jupyter programming environment with Python 3 programming language. Related literature about data visualization is reviewed. Combining methods and tools with this data as a result soil ecosystem features are recognized. © 2023 IEEE.

关键词： Principal Component analysis Soil data State Discovery visualization

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visualization analysis of Metaverse Research Situation Based on CiteSpace 2

Visualization Analysis of Metaverse Research Situation Based...

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2nd International conference on Frontiers of Communications, Information System and data Science, CISDS 2023

作者： Zhu, Weiqiao Li, Defang Guangzhou Maritime University Guangzhou China Guangzhou Vocational College of Technology &Business Guangzhou China

ISBN: (纸本)9798350381474

Using the CiteSpace visual knowledge map analysis method, this paper conducts a comprehensive quantitative analysis of the literature on metaverse research from 2000 to 2023, which was collected from the Web of Science database. The analysis focuses on the time distribution, spatial distribution, research hotspots, and frontier trends. Currently, both domestic and international research in the field of metaverse is experiencing a prosperous period of theoretical deliberation and practical exploration. The cutting-edge research topics are primarily centered around virtual reality, digital twinning, blockchain, and other related fields. Additionally, there is still a need for further development in terms of technical layout, standards, and regulations. © 2023 IEEE.

关键词： virtual reality

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Big data Analytics in loT Challenges and Opportunities 9

Big Data Analytics in loT Challenges and Opportunities

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9th International conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

作者： Kirubakaran, S. vidhya, R. Prlya, v. Kalai ShyamPrakash, D. Dhotre, Sunita Balaji, N. Alangudi Cmr College of Engineering And Technology Department of Computer Science And Engineering Telangana Hyderabad501401 India Sri Krishna College of Technology Department of Computer Science And Engineering Tamil Nadu Coimbatore641042 India Rmk College of Engineering And Technology Department of Computer Science And Engineering Puduvoyal601206 India Sri Eshwar College of Engineering Deportmem of Computer Science And Business Systems Tamil Nadu Coimbatore641202 India College of Engineering Department of Computer Engineering Maharashtra Pune411043 India KoneruLakshmaiah Education Foundation Department of Computer Science And Engineering Andhra Pradesh Vaddeswaram522302 India

ISBN: (纸本)9798350365092

The intricate interplay between Big data analytics and the Internet of effects is explored in this paper. The focus of this exploration is the integration of Big data analytics into Internet of effects surroundings, probing into the complex geography and examining both the advantages and disadvantages. In the current period, where Internet of effects(loT) bias induce unknown quantities of data, the investigates the challenges associated with the collection and analysis of massive datasets. issues are under consideration, including data security, sequestration, scalability, and real-time processing. Again, openings lie in gaining pivotal perceptivity, enhancing decision- making processes, and fostering invention. This exploration provides a comprehensive understanding of the commerce between Big data analytics and the Internet of effects(IoT), offering a precious resource for companies, academic institutions, and government officers seeking to navigate and acclimatize to this fleetly expanding confluence of technologies. © 2024 IEEE.

关键词： Scalability

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Saliency of Omnidirectional videos with Different Audio Presentations: Analyses and dataset 15

Saliency of Omnidirectional Videos with Different Audio Pres...

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15th International conference on Quality of Multimedia Experience (QoMEX) - Towards Sustainable and Inclusive Multimedia Experiences

作者： Singla, Ashutosh Robotham, Thomas Bhattacharya, Abhinav Menz, William Habets, Emanuel A. P. Raake, Alexander TU Ilmenau Audiovisual Technol Grp Ilmenau Germany Int Audio Labs Erlangen Erlangen Germany

ISBN: (纸本)9798350311730

There is an increased interest in understanding users' behavior when exploring omnidirectional (360 degrees) videos, especially in the presence of spatial audio. Several studies demonstrate the effect of no, mono, or spatial audio on visual saliency. However, no studies investigate the influence of higher-order (i.e., 4th-order) Ambisonics on subjective exploration in virtual reality settings. In this work, a between-subjects test design is employed to collect users' exploration data of 360 degrees videos in a free-form viewing scenario using the varjo XR-3 Head Mounted Display, in the presence of no, mono, and 4th-order Ambisonics audio. Saliency information was captured as head-saliency in terms of the center of a viewport at 50 Hz. For each item, subjects were asked to describe the scene with a short free-verbalization task. Moreover, cybersickness was assessed using the simulator sickness questionnaire at the beginning and at the end of the test. The head-saliency results over time show that with the presence of higher-order Ambisonics audio, subjects concentrate more on the directions sound is coming from. No influence of audio scenario on cybersickness scores was observed. From the analysis of the verbal scene descriptions, it was found that users were attentive to the omnidirectional video, but only for the 'no audio' scenario provided minute and insignificant details of the scene objects. The audiovisual saliency dataset is made available following the open science approach already used for the audiovisual scene recordings we previously published. The data is sought to enable training of visual and audiovisual saliency prediction models for interactive experiences.

关键词： visual saliency audiovisual saliency spatial audio 360 degrees video 4th-order Ambisonics

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Comparative analysis of Wearable and Computer vision-Based Methods for Human Torso Posture Estimation 9

Comparative Analysis of Wearable and Computer Vision-Based M...

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9th International conference on Mathematics and Computers in Sciences and Industry, MCSI 2024

作者： Muntean, Emanuel Leba, Monica University of Petrosani Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9798350377224

This paper conducts a comparative analysis of human torso posture estimation methodologies, focusing on an inertial measurement unit (IMU) sensor coupled with an Arduino UNO as a wearable approach, and Kinect v2, utilizing OpenCv for posture analysis. The core objective of this study is to ascertain which method yields greater precision in the estimation of human torso posture. The IMU sensor, characterized by its wearability, provides the distinct advantage of unobtrusiveness and the capability to record motion across diverse environments. Conversely, Kinect v2 leverages computer vision techniques to derive posture estimations from visual data in real-time. Through comprehensive experimentation, this research evaluates the accuracy of both methodologies by juxtaposing their posture estimation outcomes. The findings of this investigation aim to significantly contribute to the enhancement of human posture estimation systems, with wide-ranging implications for health, sports, and ergonomics. © 2024 IEEE.

关键词： Ergonomics

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