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Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
[article]
2020
arXiv
pre-print
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We develop a context-aware mixture of deep models termed the α-e̱ṯa̱ network coupled with uncertainty quantification (UQ) based upon maximum entropy to enhance human activity recognition performance. ...
Activity recognition in wearable computing faces two key challenges: i) activity characteristics may be context-dependent and change under different contexts or situations; ii) unknown contexts and activities ...
Acknowledgements This project is in part supported by the Defense Advanced Research Projects Agency under grand FA8750-18-2-0027 and National Institutes of Health under grant 1R01EB028106-01 and 1R21EB028486 ...
arXiv:2003.01753v1
fatcat:l67zhv75vfhmde6nub6govdofq
AI Science and Engineering: A New Field
2022
IEEE Intelligent Systems
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Accordingly, a critical disciplinary agenda is to develop and enrich the body of knowledge for AI science. ...
societal awareness; and understanding the essence of intelligent phenomena, behaviors, and consequences, such as by selection, immunity, evolution, and adaptation; 2) AI technologies to acquire, represent ...
scenarios to the discovery and explanation of implicit and unknown opportunities. ...
doi:10.1109/mis.2022.3151993
fatcat:sf2uay5oqnfi7ahsbyt5wppmey
A Survey of Uncertainty in Deep Neural Networks
[article]
2022
arXiv
pre-print
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For a practical application, we discuss different measures of uncertainty, approaches for the calibration of neural networks and give an overview of existing baselines and implementations. ...
As a result, different types and sources of uncertainty have been identified and a variety of approaches to measure and quantify uncertainty in neural networks have been proposed. ...
Cremers, “D3vo: Deep
depth, deep pose and deep uncertainty for monocular visual odometry,”
in Proceedings of the IEEE/CVF Conference on Computer Vision and
Pattern Recognition, 2020, ...
arXiv:2107.03342v3
fatcat:cex5j3xq5fdijjdtdbt2ixralm
Context as a service
2010
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Ubicomp '10
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AWARENESS (Context AWARE mobile NEtworks and ServiceS) http://www.freeband.nl/project. cfm? ...
'Fall detection' and ' Activity recognition 4'. ...
TYPE_MAGNETIC_ FIELD
Hardware Ambient geomagnetic field for all three physical axes (x, y, and z) in µT . ...
doi:10.1145/1864431.1864494
dblp:conf/huc/Wagner10
fatcat:3wi54p4dibgyzbchccdjals7vq
Sensors and Actuators in Smart Cities
2018
Journal of Sensor and Actuator Networks
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Author Contributions: Alex Adim Obinikpo and Burak Kantarci conceived and pursued the literature survey on deep learning techniques on big sensed data for smart health applications, reviewed the state ...
The authors are grateful to the Middle East University, Amman, Jordan for the financial support granted to cover the publication fee of this research article. Author Contributions: Abdelhamied A. ...
Care: Context awareness in residences for elderly. ...
doi:10.3390/jsan7010008
fatcat:pt7nkf4oaraijkmsndohahqtnq
Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges
2021
IEEE Access
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Moreover, we discuss exciting new opportunities for integrated localization and sensing applications, which will disrupt traditional design principles and revolutionize the way we live, interact with our ...
They will become the catalyst for this revolution by bringing about a unique new set of features and service capabilities, where localization and sensing will coexist with communication, continuously sharing ...
, and characterization; the environment-aware multi-antenna array configuration and MIMO topology; the reverberation and room electromagnetics; and the applications of (multipath) radio channel in human ...
doi:10.1109/access.2021.3053486
fatcat:6q4t3t5wcfatpbyb4g233vpgum
A Survey on Cyber Situation Awareness Systems: Framework, Techniques, and Insights
2022
ACM Computing Surveys
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Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats which are equipped with novel approaches to learn the system and propagate themselves, such as AI-powered threats. ...
To debilitate these types of threats, a modern and intelligent Cyber Situation Awareness (SA) system needs to be developed which has the ability of monitoring and capturing various types of threats, analyzing ...
ACKNOWLEDGMENTS This work was supported by the Cyber Security Research Programme-"Artificial Intelligence for Automating Response to Threats" from the Ministry of Business, Innovation, and Employment ( ...
doi:10.1145/3530809
fatcat:cwk5bp56ere5re2frzgzox56ka
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
[article]
2021
arXiv
pre-print
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The use of deep neural networks (DNNs) in safety-critical applications like mobile health and autonomous driving is challenging due to numerous model-inherent shortcomings. ...
We first identify categories of insufficiencies to then describe research activities aiming at their detection, quantification, or mitigation. ...
Acknowledgment The research leading to these results is funded by the German Federal Ministry for Economic Affairs and Energy within the project "KI Absicherung -Safe AI for Automated Driving". ...
arXiv:2104.14235v1
fatcat:f6sj3v2brza7thyzw7b7fkpo2m
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
[article]
2020
arXiv
pre-print
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We examine several publications in each category/sub-category, and we include a short discussion on the use of Deep Learning to highlight its growing popularity and distinctive advantages. ...
There is already a large but fragmented literature on ML for reliability and safety applications, and it can be overwhelming to navigate and integrate into a coherent whole. ...
accuracy and uncertainty quantification for more informed decision-making. ...
arXiv:2008.08221v1
fatcat:qhbkiepabfaz7afhctqutncheq
How to derive causal insights for digital commerce in china? a research commentary on computational social science methods
2019
Electronic Commerce Research and Applications
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.; WANG, Kanliang; WANG, Qiu-hong; KAUFFMAN, Robert John; and NALDI, Maurizio. How to derive causal insights for digital commerce in China? ...
Two fundamental contextual dimensions have been noted to be key for mobile context-aware sensing capabilities to enable better targeting, in terms of location and time (Balasubramanian et al., 2002) . ...
of new undesirable impacts for consumers that are still unknown. ...
doi:10.1016/j.elerap.2019.100837
fatcat:segj5fu3evdqdjveyd54w7cbwq
A Comprehensive lossless modified compression in medical application on DICOM CT images
2013
IOSR Journal of Computer Engineering
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The proposed work had been implemented a biometric system that used as pattern the recognition of digital fingerprint which satisfied the characteristics of uniqueness, universally, performance and collectability ...
For input, approximated images is passed to the HAAR process to compress and this process measure the best in compression for the DICOM CT images. ...
Signed approach for mining web content outliers by G.Poonkuzhali, K.
Acknowledgement We gratefully acknowledge all the speakers and listeners who contributed to this investigation. ...
doi:10.9790/0661-1530107
fatcat:eoyyyi7vmbculctnfqnohxyhue
Artificial intelligence and machine learning for future army applications
2018
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX
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for humans and robots to communicate via natural language. ...
autonomy for ground robots in unexplored, dynamic, cluttered, contested, and sparse data environments. ...
ACKNOWLEDGEMENTS The authors would like to thank ISD researchers Alec Koeppel, Maggie Wigness, John Rogers III, Douglas Summers-Stay, Garrett Warnell, Matthew Marge, and Ethan Stump for helpful conversations ...
doi:10.1117/12.2307753
fatcat:mtpmrsiixjfsta6av32kd23lly
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
[article]
2021
arXiv
pre-print
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Uncertainty quantification (UQ) plays a pivotal role in reduction of uncertainties during both optimization and decision making processes. ...
This study reviews recent advances in UQ methods used in deep learning. Moreover, we also investigate the application of these methods in reinforcement learning (RL). ...
[95] proposed an uncertainty aware framework based on multi-modal Bayesian fusion for activity recognition. ...
arXiv:2011.06225v4
fatcat:wwnl7duqwbcqbavat225jkns5u
A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights
[article]
2021
arXiv
pre-print
Preserved Fulltext
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Cyberspace is full of uncertainty in terms of advanced and sophisticated cyber threats which are equipped with novel approaches to learn the system and propagate themselves, such as AI-powered threats. ...
To debilitate these types of threats, a modern and intelligent Cyber Situation Awareness (SA) system need to be developed which has the ability of monitoring and capturing various types of threats, analyzing ...
ACKNOWLEDGEMENT This work was supported by the Cyber Security Research Programme-"Artificial Intelligence for Automating Response to Threats" from the Ministry of Business, Innovation, and Employment ( ...
arXiv:2110.15747v1
fatcat:zboddcg4a5gdxmq5hqmo5cpj34
Data Science
2017
ACM Computing Surveys
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Although it is widely debated whether big data is only hype and buzz, and data science is still in a very early phase, significant challenges and opportunities are emerging or have been inspired by the ...
An appropriate understanding of data DNA and its organisms relies on the new field of data science and its keystone, analytics. ...
ACKNOWLEDGMENTS This work is partially sponsored by the Australian Research Council Discovery Grant (DP130102691). ...
doi:10.1145/3076253
fatcat:35sk4mrfujb5rpfuoycbkdkgsi
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