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检索条件"任意字段=Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia"

共 602 条记录，以下是1-10 订阅

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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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A Hybrid Mel-Frequency Cepstrum Coefficients and Gated Recurrent Units Approach for Voiceprint Recognition 24

A Hybrid Mel-Frequency Cepstrum Coefficients and Gated Recur...

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8th international conference on advances in Artificial Intelligence, ICAAI 2024

作者： Teng, Jackson Horlick Ong, thian Song Lim, Kian Ming Faculty of Information Science and Technology Multimedia University Melaka Malaysia School of Computer Science University of Nottingham Ningbo China

ISBN: (纸本)9798400718014

A voiceprint system recognizes an individual using their voice biometrics for person recognition purpose. Voiceprint offers notable advantages in convenience and cost since it only requires a microphone, a ubiquitous component in smartphones, making it highly practical for user identity management such as personalized customer support by recognizing the user using just their voice. this paper proposes a voiceprint recognition system to combine Mel-Frequency Cepstrum Coefficients (MFCC) and Gated Recurrent Units (GRU), which is termed MFCC-GRU method. the resulting mixture is extremely useful in voiceprint recognition, as it could accurately capture and evaluate the unique characteristics and temporal dynamics of an individual’s voice for identity verification. the proposed method is tested on three voiceprint datasets and achieving the highest accuracy of 98.17% at best. © 2024 Copyright held by the owner/author(s).

关键词： Biometrics

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UiTMBusTracker mobile Application of Bus Transportation Tracker for UiTM Students 8

UiTMBusTracker Mobile Application of Bus Transportation Trac...

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8th IEEE international conference on Recent advances and Innovations in Engineering, ICRAIE 2023

作者： Nazri, Muhammad Irfan Nazmi Mohamad Ismail, Afiza Aziz, Azhar Abdul Zambri, Suzana Universiti Teknologi Mara College of Computing Informatics and Mathematics Shah Alam Malaysia

ISBN: (纸本)9798350315516

this research focuses on developing a specialized mobile application tailored for Universiti Teknologi MARA (UiTM) students, aiming to enhance their bus transportation experience. Leveraging contemporary mobile technology and GPS tracking, the application will provide real-Time information on bus locations, arrivals, and routes, addressing common commuting challenges. By optimizing student mobility and campus accessibility, the project aims to streamline transportation, reduce congestion, and contribute to a more sustainable campus environment. the application's user-friendly interface and data-driven features align with UiTM's commitment to technological advancement for student welfare, offering a comprehensive solution to improve transportation efficiency and convenience within the campus community. By using the method of mobile Software Development Life Cycle, the mobile application has been produced to solve the problem that has been stated in this paper. © 2023 IEEE.

关键词： Students

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Low Power, High Accuracy Approximate Multiplier for Error-Resilient Image Processing Application 8

Low Power, High Accuracy Approximate Multiplier for Error-Re...

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8th IEEE international conference on Distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024

作者： Harissh, G. Mathumitha, R. Dharini, R.S. Valli, P.A. Mohan, Navya Amrita School of Enginerring Amrita Vishwa Vidyapeetham Dept. of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350350593

In contemporary times, one of the most crucial requirements for digital signal processing is high power efficiency. Realizing different multimedia applications, such as processing images and videos, requires digital signal processing. Multipliers are widely utilized and considered to be one of the most important arithmetic logic units. It is also among the units which utilizes the most power in image processing applications. When precise processing is not necessary, approximate computing is an appealing technique to achieve major boosts in area, power, and speed in error-resistant applications. the purpose of this work is to present a unique approximate multiplier design that preserves accuracy metrics while consuming less power. this can serve as a helpful stand-in for precise multipliers. the effectiveness of this multiplier is evaluated based on its power consumption, error metrics, and image processing application performance. the simulation results demonstrate the effectiveness of the proposed architecture by showing reductions in power consumption of 28.1% and 45.5%, respectively, when compared to the existing approximate and exact multipliers. It also shows comparatively lower values of Normalized mean error distance (NMED) and Mean relative error distance (MRED) proving its efficacy. © 2024 IEEE.

关键词： multimedia signal processing

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advances in Machine Learning for Stroke Prediction: A Comprehensive Review 8

Advances in Machine Learning for Stroke Prediction: A Compre...

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8th international conference on I-SMAC (IoT in Social, mobile, Analytics and Cloud), I-SMAC 2024

作者： Arshad, F. Mohammed Sharmila, K. School of Computing Sciences Vels Institute of Science Department of Computer Science Chennai Tamil Nadu Pallavaram600117 India

ISBN: (纸本)9798350376425

the comparative study in this review paper covered several phases of predictive modelling and examining the efficacy of different models for stroke prediction. thorough exploratory data analysis (EDA) and strict data pretreatment were part of the initial look into, which made sure the model building process had a strong foundation. A thorough examination of the prediction performance of a various machine learning algorithms was made possible by the analysis, which included everything from traditional classifiers to state-of-the-art ensemble techniques. Lazy Predictor was used for benchmarking and initial model selection, which made it simple to identify the best-performing algorithms. these models' predictive accuracy was further improved by subsequent fine-tuning, which improved their appropriateness for stroke prediction tasks. In addition, the investigation of ensemble learning strategies cleared the way for the creation of hybrid models, which combine the advantages of distinct classifiers to produce better prediction results. the comparison analysis yielded useful insights that influence the selection of classification models for stroke prediction by healthcare researchers and practitioners. Stakeholders can embrace and apply ML approaches for stroke prediction with more knowledge if the study's findings are summarized. this will lead to improved medical outcomes and therapy. © 2024 IEEE.

关键词： Prediction models

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Sales Promotion mobile Application using Augmented Reality 8

Sales Promotion Mobile Application using Augmented Reality

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8th IEEE international conference on Recent advances and Innovations in Engineering, ICRAIE 2023

作者： Sia Abdullah, Nur Atiqah Anak Ulan, Amelia Natasha Dora Rosli, Marshima Mohd Universiti Teknologi MARA School of Computing Sciences College of Computing Informatics and Mathematics Selangor Shah Alam Malaysia

ISBN: (纸本)9798350315516

Nowadays, most people utilize innovative technologies to fulfill their needs, which drives the retail industry's global evolution. To stay relevant and survive in an industry, retailers acquire a competitive advantage over their competitors. thus, this paper aims to share an enhanced shopping experience in retail stores with augmented reality. It covers the process of identifying a suitable augmented reality (AR) approach in retail stores, constructing a mobile application, and evaluating the functionality of the application. After extensive research, marker-based AR techniques on Android were best suited to create the mobile application. By using the mobile Development Life Cycle, we cover requirement gathering, then planning out the system architecture, use case diagram, algorithm design, and user interface design. Unity, Figma, and Vuforia are utilized to develop the application. After testing, the mobile application is ready for its final launch. We believe that this mobile application provides the competitive advantage that retailers need. © 2023 IEEE.

关键词： Augmented reality

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AI^3 2024 - proceedings of the 8th Workshop on advances in Argumentation in Artificial Intelligence 2024, co-located with the 23rd international conference of the Italian Association for Artificial Intelligence, AIxIA 2024

AI^3 2024 - Proceedings of the 8th Workshop on Advances in A...

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8th Workshop on advances in Argumentation in Artificial Intelligence, AI^3 2024

the proceedings contain 9 papers. the topics discussed include: spurious preferences in structured argumentation: a preliminary analysis;a vector-based extension of value-based argumentation for public interest communication;on computational problems for infinite argumentation frameworks: hardness of finding acceptable extensions;towards temporal many-valued conditional logics for gradual argumentation: a preliminary report;on the quantitative reasoning over incomplete abstract argumentation frameworks;on explainable acceptance in probabilistic and incomplete abstract argumentation frameworks;argumentation for informed decisions with applications to energy consumption in computing;and empowering public interest communication with argumentation - project overview.

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