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Adaptive Prediction of User Interaction based on Deep Learning

2020 International journal of recent technology and engineering  
We propose a Profile-based Interaction Prediction Framework (PIPF), which can illuminate the occasion activated connection expectation issue productively and adequately.  ...  This application starter work in the region of site page expectation is introduced.  ...  data) ought to be moved through the Internet.  ... 
doi:10.35940/ijrte.b3372.079220 fatcat:2w66mj6xzvahxoidtdzotedcce

Special Issue on Deep Reinforcement Learning for Emerging IoT Systems

Jia Hu, Peng Liu, Hong Liu, Obinna Anya, Yan Zhang
2020 IEEE Internet of Things Journal  
Jia Hu received the B.Eng. and M.Eng. degrees in electronic engineering from the Huazhong  ...  Peng Liu received the B.S. and M.S. degrees in computer science and technology from Hangzhou Dianzi University, Hangzhou, China, in 2001 and 2004, respectively, and  ...  The article titled "Deep-reinforcement-learning-based autonomous UAV navigation with sparse rewards" formulates the problem of autonomous navigation of UAVs in large-scale complex environments as a Markov  ... 
doi:10.1109/jiot.2020.2998256 fatcat:rct75tsesbh7lkjmhuyogfi4ym

Internet of things and its applications

Y Shanmukha Sai, K Kiran Kumar
2018 International Journal of Engineering & Technology  
IOT is creating impeccable things by improving the performance of system in the field of communications in many technical applications in expedite manner and taken the system performance to next level.  ...  implementing IOT in today's world out do's the response time of the system to the normal system response in R&D applications. this paper depicts the challenges and the problems in various domains and  ...  The reading is taken from anywhere with internet connection and controlling of valve is done through machine learning algorithm.  ... 
doi:10.14419/ijet.v7i2.7.10758 fatcat:33hxtvhazzb67bt3nijmf7nzju

A platform for virtual museums with personalized content

B. Bonis, J. Stamos, S. Vosinakis, I. Andreou, T. Panayiotopoulos
2008 Multimedia tools and applications  
The large amount and variety of exhibits in such applications raise a need for adaptation and personalization of the environment.  ...  A number of Virtual Museum applications have been presented, which run standalone [2] or over the Internet [3, 4, 5] .  ...  The system has been used in a prototype distant learning environment.  ... 
doi:10.1007/s11042-008-0231-2 fatcat:2ozedgtyejhwzfhppchg4jjhm4

Relevant Influence of Semantic Web Framework on Smart E-Learning Environment

Subhabrata Sengupta, Anish Banerjee, Satyajit Chakrabarti
2021 International Journal of Emerging Technologies in Learning (iJET)  
clarification and description, reusable learning objects (LOs), and benefits of the applying ontology in describing the learning materials for a better and more efficient learning system.  ...  Features of Semantic Web have been explored in the sectors with respect to instructors to plan, analyse and execute their tasks and also in making a sustainable system that interprets the structure of  ...  Exploring the initial flow map Navigation of process-flow map is a representation or a layout helping the learner or the user to navigate through the system.  ... 
doi:10.3991/ijet.v16i17.24105 fatcat:p2j4pxmdcbhuncerl75r4jxkma

Understanding user behavior in online social networks: a survey

Long Jin, Yang Chen, Tianyi Wang, Pan Hui, Athanasios V. Vasilakos
2013 IEEE Communications Magazine  
In a directed latent graph, a directed edge from A to B indicates A has visited B's profile.  ...  Furthermore, we believe social data delivery and social applications in mobile environments rouse challenges in several layers of the Internet protocol stack. Let us list three examples here.  ... 
doi:10.1109/mcom.2013.6588663 fatcat:a6opi5hvjza5bivckays6hkv2u

Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities

Tan Li, Congduan Li, Jingjing Luo, Linqi Song
2020 Intelligent and Converged Networks  
Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms.  ...  In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in the IoV.  ...  In Ref. [105] , we proposed a graph theory based coded reinforcement learning technique to balance the user preference learning rate and bandwidth.  ... 
doi:10.23919/icn.2020.0005 fatcat:r7xdwyanrvfcxivff4k5pddswm

Applying Data Mining Techniques to e-Learning Problems [chapter]

Félix Castro, Alfredo Vellido, Àngela Nebot, Francisco Mugica
2007 Studies in Computational Intelligence  
The classification and prediction accuracies are improved through the weighting of the data feature vectors using a Genetic Algorithm.  ...  of creating a personalized education environment.  ...  Acknowledgments Félix Castro is a research fellow within the PROMEP program of the Mexican Secretary of Public Education.  ... 
doi:10.1007/978-3-540-71974-8_8 fatcat:ww5pqfbkw5bqxoh3eyeuwv5wlu

Towards the Modelling of Veillance based Citizen Profiling using Knowledge Graphs

Siraj Munir, Syed Imran Jami, Shaukat Wasi
2021 Open Computer Science  
For representation of Citizen Profile Temporal Knowledge Graph has been used through which we can answer semantic queries.  ...  In this work we have proposed a model for Citizen Profiling. It uses veillance (Surveillance and Sousveillance) for data acquisition.  ...  [41] introduced a novel Knowledge Graph that uses a machine Learning (ML) algorithm to predict adverse reactions of known drugs with a remarkable accuracy of 92%.  ... 
doi:10.1515/comp-2020-0209 fatcat:zay5zfuhkvfdfnzoxe353pjpa4

A Hand to Hand Taxonomical Survey on Web Mining

Neha Sharma, Sanjay Kumar Dubey
2012 International Journal of Computer Applications  
Information extraction from the web documents is a typical task and can be done efficiently after the through study of mining.  ...  The application of web mining is in the field of ecommerce and e-learning, web search, database, AI, information retrieval, system improvement etc.  ...  HITS Discovering authoritative sources in a Hyperlinked environment 1999 [41] 3. Data mining and Machine learning Exploiting the graph structure of the Web 2002 [42] 4.  ... 
doi:10.5120/9670-4091 fatcat:jidm6hmmvfal5fauhblmb7plkq

Characterization of behavioral patterns exploiting description of geographical areas [article]

Zolzaya Dashdorj, Stanislav Sobolevsky
2015 arXiv   pre-print
The proposed classification is then evaluated through its comparison with the patterns of temporal variation of mobile phone activity and applying machine learning techniques to predict a timeline type  ...  First an advanced approach to categorize areas in a city based on the presence and distribution of categories of human activity (e.g., eating, working, and shopping) found across the areas, is proposed  ...  Acknowledgments The authors would like to thank the Semantic Innovation Knowledge Lab -Telecom Italia for publicly sharing the mobile phone data records which were provided for Big Data Challenge organized in  ... 
arXiv:1510.02995v1 fatcat:7hpxenj4rbch7dm4zfynooa5ua

Guest Editorial: Special Issue on Internet of UAVs Over Cellular Networks

Merouane Debbah, Hongliang Zhang, Walid Saad, Lingyang Song
2021 IEEE Internet of Things Journal  
We hope that this special issue will serve as a useful reference for researchers, scientists, engineers, and academics in the field of the Internet of UAVs over cellular networks.  ...  Wang, the current Editor-in-Chief of IEEE INTERNET OF THINGS JOURNAL, for their great support throughout the whole review and publication process of this special issue, and, of course, all the editorial  ...  For aerial systems, a lightweight Dense-MobileNet model is leveraged to achieve energy-efficient end-to-end learning from haze features of haze images taken by UAVs for predicting AQI scale distribution  ... 
doi:10.1109/jiot.2021.3074777 fatcat:sqtmbg2djvfcdjbiu4eoomjgxy

Improving Web usability through visualization

E.H. Chi
2002 IEEE Internet Computing  
Predictive Web usage visualizations can help analysts uncover traffic patterns and usability problems.  ...  The predictive model employs a simulation in which an arbitrary number of agents traverse the links and content of a Web site.  ...  One class of models developed in information foraging theory 19 addresses how users navigate through content by following information scentthe collection of cues, such as graphics and text snippets surrounding  ... 
doi:10.1109/4236.991445 fatcat:upoywxisnbb3jm26lffe2g7go4

Visualizing multiple network perspectives

Misja N. Hoebe, Rien Bosma
2004 Proceedings of the conference on Dutch directions in HCI -  
As such, it may provide the learner means to explore, get to know and interact with her environment, fitting very well in a (social) constructivist approach of learning.  ...  Every change or addition of perspective can be seen as a context switch, providing the actor with various navigation paths through a complex, multidimensional information space.  ...  Developments like distributed collaborative learning make it even more clear that learning is a product of complex interactions, and to fully understand it the unit of analysis should be extended from  ... 
doi:10.1145/1005220.1005223 fatcat:dceiiyexhrg45p3dghxmud36gq

Papers by Title

2019 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)  
Internet of Things Power Minimization for Cell-Free Massive MIMO Predicting the success rate of natural spontaneous delivery through deep learning Prediction of Rice Odor by Using an Electronic Nose  ...  based on Deep Learning and Stereo Camera G 2 3 A B C D E F G H I L M N O P Q R S T U V W Game-based Learning and Augmented Reality Navigation APP for Children's Libraries GaN HEMT Oscillator in Phase  ... 
doi:10.1109/icce-tw46550.2019.8991721 fatcat:62376ymadzge3g5xomicr5tesq
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