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Editorial: recent research in medical technology based on multimedia and pattern recognition

Zhihan Lv, Jim Jingyan Wang, Tengfei Yin
2017 Neurocomputing  
Based on the MOEA/D framework, 'A MOEA/D-based Multi-objective Optimization Algorithm for Remote Medical' applies the two-way local search strategy and the new selection strategy based on domination amount  ...  Many of these applications require the multimedia and pattern recognition paradigm using medical sensors.  ...  in predictive modeling, logistic regression, decision trees, support vector machine, neural networks, recommendation system, collaborative filtering, natural language processing, and information retrieval  ... 
doi:10.1016/j.neucom.2016.08.097 fatcat:7ggq7kjnabaphhxsgyw37manc4

A Fusion-Based Framework for Wireless Multimedia Sensor Networks in Surveillance Applications

Adnan Yazici, Murat Koyuncu, Seyyit Alper Sert, Turgay Yilma
2019 IEEE Access  
This framework explores three main issues: 1) the design of a wireless multimedia sensor (WMS) node to detect objects using machine learning techniques; 2) a method for increasing the accuracy while reducing  ...  by multimedia sensors.  ...  Ezgi Selver, Ali Nail Ozdin, and Cihan Kucukkececi for their very valuable supports and contributions for this study.  ... 
doi:10.1109/access.2019.2926206 fatcat:w4khilhftbgcndqbczyavihuwq

An Ensemble Learning Method for Wireless Multimedia Device Identification

Zhen Zhang, Yibing Li, Chao Wang, Meiyu Wang, Ya Tu, Jin Wang
2018 Security and Communication Networks  
In this paper, a wireless multimedia device identification system based on Ensemble Learning is proposed.  ...  The wireless multimedia device identification via Radio Frequency Fingerprinting (RFF) extracted from radio signals is a physical-layer method for data transmission security.  ...  this, the resulting optimization goal is the node error, which is shown in Equation ( (3) In the process of binary classification of decision trees, the criteria for classification are to select the  ... 
doi:10.1155/2018/5264526 fatcat:wqsquteyyrhvbbny3cca4ahcne

TPR, PPV and ROC based Performance Measurement and Optimization of Human Face Recognition of IoT Enabled Physical Location Monitoring

2019 International journal of recent technology and engineering  
This paper describes the construction of Internet of Things (IoT) enabled system which not only captures the sensors data in textual and numeric form but also performs live human face recognition to monitor  ...  The dataset used in order to apply supervised machine learning algorithms is the combination of automatically captured live sensor data along with name of the human face recognized or unknown and additional  ...  The impurity measure used in building decision tree in Classification and Regression Trees (CART) is Gini Index. The decision tree built by CART algorithm is always a binary decision tree.  ... 
doi:10.35940/ijrte.b3186.078219 fatcat:wlyr7rp7hjcyhk2xzxl4q2efq4

Web-Scale Multimedia Information Networks

Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang
2012 Proceedings of the IEEE  
In this paper, we introduce a unified STRUCTURED representation called multimedia information networks (MINets), which incorporates ontology and cross-media links, covering both content and context knowledge  ...  Moreover, advanced inference theory and system can be built upon the linked MINets, and then high-level ontological knowledge can be inferred and integrated in a logically harmonious network structure  ...  Another more sophisticated hierarchical classification proposed in [10] is to encode the path from root concept to target concept by a fix-length binary vector and then treat it as a multilabel classification  ... 
doi:10.1109/jproc.2012.2201909 fatcat:4hcia4agvbaija2kx5ynj2esse

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection

Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
2008 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)  
Semantic understanding of multimedia content has become a very popular research topic in recent years.  ...  In this paper, we propose a novel algorithm using multiple correspondence analysis (MCA) to discover the correlation between features and classes to reduce the feature space and to bridge the semantic  ...  Conclusions In this paper, a correlation-based and transformationbased feature selection framework using MCA is proposed to handle multimedia semantic understanding related problems such as high-dimensionality  ... 
doi:10.1109/sutc.2008.66 dblp:conf/sutc/LinRSC08 fatcat:piwehiltjvcavdrtfpbjfa5jke

Extracting semantics from audio-visual content: the final frontier in multimedia retrieval

M.R. Naphade, T.S. Huang
2002 IEEE Transactions on Neural Networks  
Advances in multimedia understanding are related directly to advances in signal processing, computer vision, pattern recognition, multimedia databases, and smart sensors.  ...  His research interests include audio-visual signal processing and analysis for the purpose of multimedia understanding, content-based indexing, retrieval, and mining.  ...  Frey for his valuable comments on factor graphs and S. F. Chang and D. Zhong of Columbia University for the blob tracking algorithm.  ... 
doi:10.1109/tnn.2002.1021881 pmid:18244476 fatcat:2joztr4jnbgedmsjvbzvqqe4su

A New Cross-Layer QoS-Provisioning Architecture in Wireless Multimedia Sensor Networks

2016 KSII Transactions on Internet and Information Systems  
In order to satisfy such precise QoS constraints, in this paper, we propose a new cross-layer QoS-provisioning strategy in Wireless Multimedia Sensor Networks (WMSNs).  ...  Emerging applications in automation, medical imaging, traffic monitoring and surveillance need real-time data transmission over Wireless Sensor Networks (WSNs).  ...  visual sensors for event-based operation.  ... 
doi:10.3837/tiis.2016.12.009 fatcat:sy6huif7pbftdilh6wgy5ecece

Multimedia security and privacy protection in the internet of things: research developments and challenges

Jiankun Hu, Nickson M. Karie, Song Wang, Wencheng Yang
2022 International Journal of Multimedia Intelligence and Security  
In this paper, we conduct a comprehensive survey on multimedia data security and privacy protection in the IoT.  ...  The security and privacy of multimedia data have, however, emerged as key challenges that have the potential to impact the successful deployment of IoT devices in some data-sensitive applications.  ...  To address privacy concerns, the authors use FL to leverage sensing platforms for distributed decision-making and learning in IoT networks.  ... 
doi:10.1504/ijmis.2022.10044461 fatcat:xdliezm2kbe3vkrpgnso74xtba

Static and Dynamic Activity Detection with Ambient Sensors in Smart Spaces

Sagar Shelke, Baris Aksanli
2019 Sensors  
Our experiments reveal a very high static activity detection rate with all algorithms, where the feed-forward neural network method gives the best accuracy of 99.96%.  ...  We train six machine learning algorithms, namely logistic regression, naive Bayes, support vector machine, decision tree, random forest and artificial neural network (vanilla feed-forward) on the dataset  ...  The classification algorithms used are similar to multimedia-based ones, including support vector machines, Bayesian networks, hidden Markov models, etc.).  ... 
doi:10.3390/s19040804 fatcat:l552wzjtk5hszbfxjcmcmhc2w4

Data-Driven Stream Mining Systems for Computer Vision [chapter]

Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, Kishan Sudusinghe
2014 Advances in Computer Vision and Pattern Recognition  
With advances in sensor and digital processing technologies, we are able to deploy networks involving large numbers of cameras that acquire increasing volumes of image data for diverse applications in  ...  However, to exploit the potential of such extensive networks for image acquisition, important challenges must be addressed in efficient communication and analysis of such data under constraints on power  ...  Specifically, while excess load can be easily handled within the optimization framework for a binary classifier chain, using a single operating point for each classifier in a tree generates two output  ... 
doi:10.1007/978-3-319-09387-1_12 fatcat:am4bf2g7tjbd3h3vefpeaxvvum

Paper titles

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
A portable remote emergency support system (PRESS) E 3 A B C D E F G H I J L M N O P Q R S T U V W E Learning System Based on Multimedia and Game Mechanics ECG Automatic Classification Model  ...  with AI A System for Supporting Creation of Procedure Manuals for Network Device Configuration A traffic recognition based on artificial neural networks in SDN systems A Virtual Reality Based System for  ... 
doi:10.1109/icce-taiwan49838.2020.9258179 fatcat:2eheaztzhncixhbvp7nrbzml4m

A Survey of Software Infrastructures and Frameworks for Ubiquitous Computing

Christoph Endres, Andreas Butz, Asa MacWilliams
2005 Mobile Information Systems  
In this survey, we discuss 29 software infrastructures and frameworks which support the construction of distributed interactive systems.  ...  This survey is meant as a starting point for new projects, in order to choose an existing infrastructure for reuse, or to get an overview before designing a new one.  ...  Network protocol: Not specified. Acknowledgments We thank all researchers who have provided input for this survey beyond what was available in research papers.  ... 
doi:10.1155/2005/654215 fatcat:fdhnm2jwqvbv5dqzllw26pmrzu

Intelligent Traffic Management in Next-Generation Networks

Ons Aouedi, Kandaraj Piamrat, Benoît Parrein
2022 Future Internet  
The research community has advocated the application of ML/DL in softwarized environments for network traffic management, including traffic classification, prediction, and anomaly detection.  ...  In recent years, network softwarization has drawn significant attention from both industry and academia, as it is essential for the flexible control of networks.  ...  In such a context, a framework of a semi-supervised model for network traffic classification has been proposed in [61] .  ... 
doi:10.3390/fi14020044 fatcat:dx6leecgtfegdlao5aq6p6ouci
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