A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
As an additional asset, the fine-grained a priori analysis provided by PreVIous could also be exploited by neural architecture search engines. ...
This paper presents PreVIous, a methodology to predict the performance of convolutional neural networks (CNNs) in terms of throughput and energy consumption on vision-enabled devices for the Internet of ...
This CPU-based embedded system (sized 83 × 58 × 20 mm) is more suitable for high-performance IoT applications. ...
arXiv:1912.06442v1
fatcat:6zb3bwib3bhhxlinie7cfszvvq
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
2021
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This has resulted in attackers having an increased incentive to target IoT devices. ...
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. ...
Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21020446
pmid:33435202
fatcat:bxj2qzl3pvf4phv75hpnzj3uei
Managing Time-Sensitive IoT Applications via Dynamic Application Task Distribution and Adaptation
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Finally, the paper demonstrates that the DTDA task management technique of TIDA meets the time-bound requirements of TS-IoT applications by presenting an experimental evaluation involving real time-sensitive ...
., unpredictable data rates and sudden disconnections) of the IoT environment, it has become a major challenge to ensure the time-bounds of TS-IoT applications. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13204148
fatcat:wewg2msw25as3mwvo7iyqzatke
Automated and Reproducible Application Traces Generation for IoT Applications
2021
Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this paper, we investigate and present how to generate application traces of IoT (Internet of Things) Applications in an automated, repeatable and reproducible manner. ...
While we focus in this work on IoT networks, we believe such an approach could be of used in many other networking domains. ...
We require an advanced analysis to get meaningful insights of IoT QoS applications' behavior from generated time series datasets. ...
doi:10.1145/3479242.3487321
fatcat:dfqvciwaqbhfrflwgcwwq7vyz4
Machine-Learning-Based Darknet Traffic Detection System for IoT Applications
2022
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
applications. ...
Thus, in this paper, we develop, investigate, and evaluate the performance of machine-learning-based Darknet traffic detection systems (DTDS) in IoT networks. ...
Section 4 presents and discusses our experimental results of the proposed ML-DTDS-IoT. ...
doi:10.3390/electronics11040556
fatcat:ltk2mqppizbndcufgxd3htx44y
Security Testing of IOT Smart Applications
2021
IJCI. International Journal of Computers and Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Internet of Things (IoT) offers a big variety of smart applications. Smart homes (SH) are a well-known utility of IoT that enhances quality of life. ...
This paper proposes to enhance an existing SH simulation tool to be remotely managed inside a secure server. ...
Protection of SH layout primarily based totally on IoT applications is a factor that represents an essential count of SH studies. ...
doi:10.21608/ijci.2021.207747
fatcat:mtcegfsc4nhefowezs2utykx2y
Internet of Plants Application for Smart Agriculture
2018
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In response to this fact, an application is developed for 10 days ahead maximum and minimum temperatures forecasting using a type of recurrent neural network. ...
In order to accomplish this, we developed a prototype device and an android application which acquires physical data and sends it to cloud. ...
EXPERIMENTAL RESULTS The primary goal of our research was to develop an IoT system which can acquire the remotely sensed weather data through an android application. ...
doi:10.14569/ijacsa.2018.090458
fatcat:oid52b7dnjg6lgvsunfohtjgb4
Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement
2018
Machines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The agricultural field is only apparently refractory to the digital technology and the "smart farm" model is increasingly widespread by exploiting the Internet of Things (IoT) paradigm applied to environmental ...
The focus of this study is the design and deployment of practical tasks, ranging from crop harvest forecasting to missing or wrong sensors data reconstruction, exploiting and comparing various machine ...
[32] introduce an IoT application, named 'AGRO-TECH', that is accessible by farmers to keep track of soil, crop, and water, which is also deepened by the authors of [33] ; Rekha et al. ...
doi:10.3390/machines6030038
fatcat:zgr2mhjfzvb5falbtv3jqvptei
MicroServices Suite for Smart City Applications
2019
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, these aspects are reviewed, highlighting the requirements for smart city IoT applications and in particular, the ones that implement a set of specific MicroServices for IoT Applications ...
Moreover; our experience has allowed us to implement a suite of MicroServices for Node-RED; which has allowed for the creation of a wide range of new IoT applications for smart cities that includes dashboards ...
Desirable applications could be, for example, computing sentiment analysis, performing a clustering classification and recognition, computing some predictions on the basis of the historical data of some ...
doi:10.3390/s19214798
pmid:31690012
pmcid:PMC6864587
fatcat:b5v4z537trgbfnvconqhsl7ogy
Supervised Machine Learning for RSSI based Indoor Localization in IoT Applications
2021
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
IoT related localization applications. ...
An experimental test-bed was implanted in a controlled environment to collect RSSI values from the sensor nodes. ...
PREDICTION MODELS DEVELOPMENT
RESULT ANALYSIS It has collected 4520 RSSI values from 32 known locations in the test-bed in one test. ...
doi:10.5120/ijca2021921305
fatcat:mn47t22ndnaoxlnyevzvlxt3oy
Predicting complex events for pro-active IoT applications
2015
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The widespread use of IoT devices has opened the possibilities for many innovative applications. Almost all of these applications involve analyzing complex data streams with low latency requirements. ...
We propose an adaptive prediction algorithm called Adaptive Moving Window Regression (AMWR) for dynamic IoT data and evaluated it using a realworld use case. ...
The context of the application may change resulting in the degradation of prediction model performance. ...
doi:10.1109/wf-iot.2015.7389075
dblp:conf/wf-iot/AkbarCMZ15
fatcat:4oazfs6o3vfqzmcwispglfuoaa
Wearable Technology and Mobile Applications for Healthcare
2019
Mobile Information Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Acknowledgments The editors acknowledge the support of Zahia Guessoum from the University of Reims Champagne-Ardenne, Reims, France.
Iván García-Magariño Dilip Sarkar Raquel Lacuesta ...
for predictions, (c) gait assessment, and (d) analysis of survey data about users' perceptions. ...
However, it is worth highlighting that, besides WT and apps, the interest of Internet of things (IoT) is continuously increasing in the context of healthcare [6] , since IoT can automatically collate ...
doi:10.1155/2019/6247094
fatcat:ezbitwv3gnhmfay4bqltqmsl3q
Application of IoT-Aided Simulation to Manufacturing Systems in Cyber-Physical System
2019
Machines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this study, we first explain the concept of DT and important issues involved in developing it within an IoT-aided manufacturing environment. ...
Finally, we describe how we verify the effectiveness of the proposed framework and scheme, by constructing a DT-oriented simulation model for an IoT-aided manufacturing system. ...
Forecasting, experimentation and optimization are other important features of DT to predict the future status or performance. ...
doi:10.3390/machines7010002
fatcat:uhpdleonjvcibhsbbth6zs5koy
Deep learning: emerging trends, applications and research challenges
2020
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We are grateful to the Editor-in-Chief of Soft Computing journal as well as Professor Antonio Di Nola and Professor Raffaele Cerulli for their great effort during all the phases of production. ...
The quality of their research and their passion for conducting socially meaningful science is reflected in every article. ...
Chen et al. (2019) built a sentiment analysis framework based on different deep learning models. The experimental results showed the approach can improve the sentiment classification performance. ...
doi:10.1007/s00500-020-04939-z
fatcat:odpz4kywlfen3nhlmknc7tiz64
8th EAI International Conference on Context-Aware Systems and Applications (ICCASA 2019) AND 5th EAI International Conference on Nature of Computation and Communication (ICTCC 2019)
2019
EAI Endorsed Transactions on Context-aware Systems and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Experimental results show that the hybrid WON-KNN is a better classifier to predict the liver diseases. ...
The experimental results show that the proposed solution can be implemented well on quantitative dataset as well as improve the accuracy and performance of the recommendation systems. ...
doi:10.4108/eai.23-5-2019.158954
fatcat:nh5vkumh75govl24bqet5p2tdi
« Previous
Showing results 1 — 15 out of 21,605 results