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检索条件"任意字段=Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia"

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18th international conference on advances in mobile computing and multimedia, MoMM2020 - proceedings

18th International Conference on Advances in Mobile Computin...

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18th international conference on advances in mobile computing and multimedia, MoMM 2020, in conjunction with the 22nd international conference on Information Integration and Web-Based Applications and Services, iiWAS 2020

ISBN: (纸本)9781450389242

the proceedings contain 30 papers. the topics discussed include: emotion recognition from speech using spectrograms and shallow neural networks;wearable statues game: a real-world multiplayer game using automatic judgment with accelerometers;the security of mobile business applications based on mCRM;predicting emotion dynamics sequence on twitter via deep learning approach;input-conditioned convolution filters for feature learning;user identification method based on head shape using a helmet with pressure sensors;a new approach to crowd journalism using a blockchain-based infrastructure;and improved weighted loss function for training end-of-speech detection models.

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20th international conference on advances in mobile computing and multimedia Intelligence, MoMM 2022, held in conjunction with 24th international conference on Information Integration and Web Intelligence, iiWAS 2022

20th International Conference on Advances in Mobile Computin...

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20th international conference on advances in mobile computing and multimedia Intelligence, MoMM 2022, held in conjunction with 24th international conference on Information Integration and Web Intelligence, iiWAS 2022

ISBN: (纸本)9783031204357

the proceedings contain 16 papers. the special focus in this conference is on advances in mobile computing and multimedia Intelligence. the topics include: Context-Aware Human Activity Recognition (CA-HAR) Using Smartphone Built-In Sensors;An Improved 3DIHDV-H0P Localization Algorithm Using for Smart Irrigation Applications;online Dance Lesson Support System Using Flipped Classroom;who Shapes the Network of a Pedagogical Space? Clues from the Movements in the Physical Places;resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique;a Stumble Detection Method for Programming with Multi-modal Information;An Intelligent ML-Based IDS Framework for DDoS Detection in the SDN Environment;effects on Separated Learning of Acquiring Physical Movement Skills Classified by Level of Difficulty;now, Later, Never: A Study of Urgency in mobile Push-Notifications;efficient Subjective Video Quality Assessment Based on Active Learning and Clustering;curvable Image Markers: Toward Trackable Markers for Every Surface;design Exploration for Better Security of Recognition-Based Image Authentication in mobile Environment;a Scheduling Method for Division-Based Broadcasting on Dynamic Video Delivery;simulating Scenarios to Evaluate Data Filtering Techniques for mobile Users.

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17th international conference on advances in mobile computing and multimedia, MoMM2019 - proceedings

17th International Conference on Advances in Mobile Computin...

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17th international conference on advances in mobile computing and multimedia, MoMM2019

ISBN: (纸本)9781450371780

the proceedings contain 31 papers. the topics discussed include: hide my gaze with EOG!;CORMORANT: on implementing risk-aware multi-modal biometric cross-device authentication for android;active safety for individual and connected vehicles using mobile phone only;large-scale semantic concept detection based on visual contents;security solution methods in the vehicular ad-hoc networks;blockchain e-voting system with the use of intelligent agent approach;free-form gaze passwords from cameras embedded in smart glasses;tennis stroke classification: comparing wrist and racket as IMU sensor position;gateways to heaven: observations and predictions on the software architecture of IoT gateways;and a division-based broadcasting system considering dynamic updates of delivery schedule.

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24th international conference on Information Integration and Web Intelligence, iiWAS 2022, held in conjunction with the 20th international conference on advances in mobile computing and multimedia Intelligence, MoMM 2022

24th International Conference on Information Integration and...

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24th international conference on Information Integration and Web Intelligence, iiWAS 2022, held in conjunction with the 20th international conference on advances in mobile computing and multimedia Intelligence, MoMM 2022

ISBN: (纸本)9783031210464

the proceedings contain 53 papers. the special focus in this conference is on Information Integration and Web Intelligence. the topics include: GPU Accelerated Parallel Implementation of Linear Programming Algorithms;Towards Explaining DL Non-entailments by Utilizing Subtree Isomorphisms;Query Optimization in NoSQL Databases Using an Enhanced Localized R-tree Index;handling Exit Node Vulnerability in Onion Routing with a Zero-Knowledge Proof;an Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers;bilateral Bargaining for Healthcare Data Sharing;modifying Neo4j’s Object Graph Mapper Queries for Access Control;a Recommendation Method for Recipes Containing Unskillful Elements Using Naïve Bayes Classifier to Improve Cooking Skills;extraction of Complementary Topics Based on Phrase Importance and Co-occurrence in Technical Blogs;sharing Semantic Knowledge for Autonomous Robots: Cooperation for Social Robotic Systems;feature Relevance Analysis of Product Reviews to Support Online Shopping;annotation System for Dialogue Datasets of Older Adult’s with Photos and Storytelling;evaluation Axes for Automatically Generated Product Descriptions;CISQA: Corporate Smart Insights Question Answering System;symmetry Metrics for Pairwise Entity Similarities;a New Method to Measure Similarity of Words in Japanese Twitter Based on Related Images;Hybrid Phishing URL Detection Using Segmented Word Embedding;a Scheme for News Article Classification in a Low-Resource Language;expertise Computation for Automatic Reviewer Assignment;detection of Hot Topics Using Multi-view Text Clustering;exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study;interactive Visualization of Comic Character Correlation Diagrams for Understanding Character Relationships and Personalities;two Case Studies on Guiding Human Behavior Using Virtualization Technologies in Distributed Virtual Shopping Malls;central Figures in t

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Comparative Analysis of Deep Learning Techniques for Underwater multimedia Compression 6

Comparative Analysis of Deep Learning Techniques for Underwa...

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6th international conference on mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Priyakanth, R. Simon, Judy Department of ECE SRM Institute of Science and Technology Ramapuram Chennai India

ISBN: (纸本)9798331522667

Recent advancements in underwater multimedia compression, particularly deep learning techniques, are explored to address the increasing data demands of the Internet of Underwater things (IoUT). Efficient compression is critical due to the limited bandwidth and greater transmission error rates in underwater acoustic channels. Deep learning models such as the UAT-SSIC scheme, which employs semantic segmentation with joint source-channel coding, and the DWT–CNN framework, which combines discrete wavelet transform with convolutional neural networks, have demonstrated superior compression performance. Advanced techniques like convolutional autoencoders (CAEs) and UCSNet leverage adaptive sampling and underwater priors to enhance image reconstruction and reduce errors. Additionally, approaches like ESPC-BCS-Net and RFD-ECNet achieve efficient compression by integrating compressed sensing and multi-scale feature extraction. these methods consistently deliver high PSNR and SSIM values, minimize spatial redundancy, and optimize energy use, demonstrating their significant potential for improving underwater communication and data processing. © 2025 IEEE.

关键词： Semantic Segmentation

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A Novel Approach to Model the Scattering Environment in Channel Modeling for Integrated Sensing and Communications 20

A Novel Approach to Model the Scattering Environment in Chan...

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20th IEEE international Wireless Communications and mobile computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Jiang, Chuangxin Liu, Junchen Lou, Junpeng Liu, Ruiqi Yang, Qi Wang, Xinhui State Key Lab Mobile Network & Mobile Multimedia Shenzhen 518055 Peoples R China ZTE Corp Wireless & Comp Res Inst Xian 710114 Peoples R China

ISBN: (纸本)9798350361261;9798350361278

Integrated sensing and communication (ISAC) is a very promising 6G technology and confirmed by international Telecommunication Union (ITU) as one of six typical usage scenario of the 6th generation (6G) network. To evaluate the performance of potential ISAC solutions and demonstrate the technical superiority, an accurate channel model to characterize both sensing targets and background environment is critical towards both standardization and commercial deployment. In this paper, a novel approach to model the scattering environment, which is one of the current open issues in the standardization community, is proposed. Specifically, a virtual receiver with virtual departure angle and delay is introduced to reuse the methodology of the existing communication channel modeling for Base station (BS) mono-static sensing mode. Implementations of the proposed model are carried out through ray tracing simulations to demonstrate the feasibility and the accuracy.

关键词： Integrated sensing and communication channel model mono-static scattering environment 6G

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6G mobile Network Latency mobile Edge computing Cloud Architecture 1

6G Mobile Network Latency Mobile Edge Computing Cloud Archit...

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1st international conference on advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Naval, Preeti Pushparajesh, V. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

Communication refers to the process by which one individual conveys information to another. Telecommunication and the instruments are made available by technological gadgets, which is now feasible. 5G mobile network standards are being used at present. It is thought that 6th-generation mobile network standards will address several user needs. 6G will be universally available by 2030. In a cloud computing setup, a specific hardware or geographic location is not required. the main aim of this method is to offer computing resources whenever they are needed. By fusing the two, mobile cloud computing enables more flexible and personalized solutions. Machine learning is finding its way into a wide variety of devices. With the use of AI., mobile network services (MNS) may improve the reliability and personalization of user experiences in areas like fraud detection, mobile transaction security, network operation monitoring, and management. A world without traffic accidents, high-tec, specialized healthcare, and criminal activity would be a reality if 6G mobile network services integrated cloud computing with artificial intelligence. the most important requirements for 6G standards are high data rate connection per user and the ability to manage huge record numbers. Research and development are underway for the next-generation mobile network. there are several intriguing aspects of this age. the most pressing problem that requires solving using suitable forensic methods is security. High-performance computers are needed to improve customer service. Two situations are created by combining technological, organizational, and cloud-hosted application-based research approaches in a high-performance computing setting: monitoring performance via remote desktop connection and real-time stream processing. this article seeks to narrow the designated worldwide spectators with a wide variety of empirical chances to allocate resources for trustworthy and defensible on-demand services. ©

关键词： mobile edge computing

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A Novel Inception Deep Learning model for mobile AI Stroke Prediction system: AI Research and Industry Perspectives for Connected Health 6

A Novel Inception Deep Learning model for Mobile AI Stroke P...

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6th international conference on computing and Informatics, ICCI 2024

作者： Elbagoury, Bassant M. Maskeliuans, Rytis Zaghow, Marwa Kamel, Nabil Faculty of Computer and Information Sciences Ain Shams University Computer Science and Artificial Intelligence Programs Egypt Faculty of Computer Science and Engineering King Salman International University KSIU Egypt Kaunas University of Technology Faculty of Informatics Department of Multimedia Engineering Lithuania Dell Technologies EMEA Egypt

ISBN: (纸本)9798350373875

Artificial intelligence technologies for the mobile health and smart hospitals are important, by applying predictive Analytics and Deep Learning algorithms and developing new models. the main objective is applying artificial Intelligence methods in the medical field, especially for heart/brain stroke diseases diagnosis and prediction for emergency patients' cases. thus, to save patients' lives, also through the integration with IoT and wearable technologies, which are integrated with AI and DL algorithms that help to make sense of bio signals predictive analytics such as biomedical sensors processing. and complex diseases predictions and early detection like heart and stroke diseases. Also dealing with EMG sensors for stroke prediction. Moreover, Intelligent mobile Health based on our previously introduced project of AI smart hospital and mobile AI stroke prediction system for connected health and stroke emergencies. In this paper, a new deep learning model has been built and tested for Stroke EMG signal prediction by modifying the Inception-v3 architecture and other deep learning models. Also, this paper compares current results of mobile AI health Inception model with our previous developed mobile AI stroke engine that depends on hybrid LSTM deep learning for EMG signals prediction. Both models have achieved high accuracies. Moreover, the inception model is more stable and higher average accuracies that reaches 98%. Moreover, AI research and future industry implementations for Generative AI Dell Technologies servers is discussed. © 2024 IEEE.

关键词： Learning systems

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SUMAC '24: 6th workshop on the analySis, Understanding and proMotion of heritAge Contents: advances in Machine Learning, Signal Processing, Multimodal Techniques and Human-machine 6

SUMAC '24: 6th workshop on the analySis, Understanding and p...

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6th Workshop on the analySis, Understanding and proMotion of heritAge Contents, SUMAC 2024

作者： Gouet-Brunet, Valerie Kosti, Ronak Weng, Li Lastig Ign Gustave Eiffel University Saint-Mandé France Friedrich-Alexander-Universität Erlangen-Nürnberg Germany Zhejiang Financial College Hangzhou China

ISBN: (纸本)9798400712050

SUMAC 2024 is the sixth edition of the workshop on analySis, Un- derstanding and proMotion of heritAge Contents. It is held in Mel- bourne, Australia, on 28 October and is co-located with the 32nd ACM international conference on multimedia. the workshop's objective is to present and discuss the latest and most significant trends, challenges and advances in the fields of machine learning, signal processing, multimodal techniques and human-machine in- teraction. the workshop is dedicated to the valorization of cultural heritage, with the emphasis on the unlocking of and access to the big data of the past. A representative scope of Computer Science methodologies dedicated to the processing of multimedia heritage contents and their exploitation is covered by the works presented, with the ambition of advancing and raising awareness about this fully developing research field. © 2024 ACM.

关键词： Adversarial machine learning

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Integrated Sensing and Communication based Breath Monitoring using 5G Network 19

Integrated Sensing and Communication based Breath Monitoring...

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19th IEEE international Wireless Communications and mobile computing (IEEE IWCMC)

作者： Zhao, Zhe Liu, Ruiqi Li, Junqiang State Key Lab Mobile Network & Mobile Multimedia Shenzhen 518055 Peoples R China ZTE Corp Wireless Res Inst Beijing 100029 Peoples R China

ISBN: (纸本)9798350333398

Integrated sensing and communication (ISAC) has been recognized as a critical technology as well as an usage scenario for the 6th generation (6G) wireless networks as reflected by the reports by impactful standardization bodies. the main idea of ISAC is to exploit communication signals to detect, monitor or image surrounding environment and support sensing, target detection or localization. As reflected by the broad consensus, communication networks will be used to support beyond communication use cases, such as target detection and indoor security surveillance and monitoring. Specifically, non-visible light based monitoring approaches are needed in dark environments or environments without enough cameras. In this paper, an ISAC based indoor breath monitoring scheme is proposed and tested with prototypes under both line-of-sight (LOS) and non line-of-sight (NLOS) environments. In the tests, 5th generation (5G) base stations are used as transceivers and the frame structures of the transmitted signals are based on 5G standards. Test results demonstrate the feasibility and accuracy of the proposed approach.

关键词： Integrated sensing and communication prototype 5G breath monitoring detection

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