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Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery [article]

Zepeng Huo, Arash PakBin, Xiaohan Chen, Nathan Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi
2020 arXiv   pre-print
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

Longbing Cao
2022 IEEE Intelligent Systems  
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]

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang (+2 others)
2022 arXiv   pre-print
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

Michael Wagner
2010 Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Ubicomp '10  
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

Mohammad Hammoudeh, Mounir Arioua
2018 Journal of Sensor and Actuator Networks  
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

Carlos De Lima, Didier Belot, Rafael Berkvens, Andre Bourdoux, Davide Dardari, Maxime Guillaud, Minna Isomursu, Elena-Simona Lohan, Yang Miao, Andre Noll Barreto, Muhammad Reza Kahar Aziz, Jani Saloranta (+8 others)
2021 IEEE Access  
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

Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch, Harith Al-Sahaf, Ian Welch, Seyit A. Camtepe, Dan Dongseong Kim
2022 ACM Computing Surveys  
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]

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser (+29 others)
2021 arXiv   pre-print
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]

Zhaoyi Xu, Joseph Homer Saleh
2020 arXiv   pre-print
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

David C.W. Phang, Kanliang Wang, Qiuhong Wang, Robert J. Kauffman, Maurizio Naldi
2019 Electronic Commerce Research and Applications  
.; 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

Alka sharm
2013 IOSR Journal of Computer Engineering  
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

John M. Fossaceca, Stuart H. Young, Tien Pham, Michael A. Kolodny, Dietrich M. Wiegmann
2018 Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX  
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]

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021 arXiv   pre-print
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]

Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch, Harith Al-Sahaf, Ian Welch, Seyit A. Camtepe, Dong Seong Kim
2021 arXiv   pre-print
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

Longbing Cao
2017 ACM Computing Surveys  
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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