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2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TSMC March 2021 1559-1566 Expectation-maximization algorithms A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. ...
., +, TSMC Nov. 2021 7191-7200 Mobility management (mobile radio) Quick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks. ...
doi:10.1109/tsmc.2021.3136054
fatcat:b5hcsfwjw5hllpenqmaq6wpke4
2021 Index IEEE Transactions on Fuzzy Systems Vol. 29
2021
IEEE transactions on fuzzy systems
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., +, TFUZZ Mixed H 2 /H 3 Fuzzy Control Plus Mobile Actuator/Sensor Guidance for Semilinear Parabolic Distributed Parameter Systems. ...
., +, TFUZZ Oct. 2021 2878-2889 Fuzzy Control Plus Mobile Actuator/Sensor Guidance for Semilinear Parabolic Distributed Parameter Systems. ...
doi:10.1109/tfuzz.2021.3134727
fatcat:m66dl6wxdbgendhdx4bliy6nky
2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50
2020
IEEE Transactions on Systems, Man & Cybernetics. Systems
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., +, TSMC June 2020 2284-2292 Expectation-maximization algorithms Utility-Based Model for Characterizing the Evolution of Social Networks. ...
Neuro-Optimal Control for Discrete Stochastic Processes via a Novel Policy Iteration Algorithm. ...
doi:10.1109/tsmc.2021.3054492
fatcat:zartzom6xvdpbbnkcw7xnsbeqy
2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32
2021
IEEE Transactions on Neural Networks and Learning Systems
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Zhou, F., +, TNNLS June 2021 2401-2414 Mobile robots A Novel Supertwisting Zeroing Neural Network With Application to Mobile Robot Manipulators. ...
., +, TNNLS Nov. 2021 4793-4813 Deep Residual Autoencoders for Expectation Maximization-Inspired Dictio-Gradient Algorithm. ...
doi:10.1109/tnnls.2021.3134132
fatcat:2e7comcq2fhrziselptjubwjme
Adaptive path planning for unknown environment monitoring
2023
Journal of Ambient Intelligence and Smart Environments
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From a decision-making standpoint, we built a hybrid algorithm HSAStar (Hybrid SLAM & A Star) algorithm for path planning based on the event oriented modelling, allowing a UGV to continually monitor the ...
A mobile robot scheme utilizing LIDAR on integrative approach was created and experiments were carried out to solve the high equipment budget of Simultaneous Localization and Mapping (SLAM) for robotic ...
However, getting data from a sensor network is critical. Currently, data is collected through sensor networks. ...
doi:10.3233/ais-220175
fatcat:gxqsf7dvhnf7zjpgamz55g5rha
Table of Contents
2020
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Ghandar Adam .......... 384 Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders Dave Cliff and Michael Rollins .......... 392 An agent-based model for designing ...
... 1100 A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility You Liang, Aerambamoorthy Thavaneswaran and Md. ...
doi:10.1109/ssci47803.2020.9308155
fatcat:hyargfnk4vevpnooatlovxm4li
A Survey on Trust Modeling from a Bayesian Perspective
[article]
2020
arXiv
pre-print
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In this paper, we are concerned with trust modeling for agents in networked computing systems. ...
among variants of trust models and developing novel tools for trust evaluation. ...
Examples include wireless sensor networks (WSNs), internet of things (IoT), electronic commerce (EC), P2P networks, cloud computing, mobile ad hoc networks (MANETs), cognitive radio networks (CRNs), multiagent ...
arXiv:1806.03916v7
fatcat:teajp4szafefnkrjtlssalznlq
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
2020
ACM Computing Surveys
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Each time the agent takes action based on the environment states, and it receives a reward from the environment. ...
A taxonomy for orchestrating ML-based IoT application development lifecycle simulated environment. ...
[381] have given a comprehensive survey of the ML based methods used for resource allocation in mobile and wireless networking. ...
doi:10.1145/3398020
fatcat:zzgfcjxjxbhnhf53dmlo63rs3i
Index—Volumes 1–89
1997
Artificial Intelligence
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437
evidential context 680
evidential reasoning 132,328,344,400,437,
626,
1005
in belief networks 626
informal models of -328
management of -328
managing -996
evidential updating
Bayesian -391 ...
1370
prediction 120
prediction
algorithm for -971
based on the expected number of solutions
1300
graphs 201
in the mechanics world 120
in Theorist 971
nonmonotonic -1178
of a machine's long-term ...
112, 147,245,292,296, 303,444,453, 461,503,573,632,690,692, 1079, 1204, 1222,1339 reasoning abductive -684, 1175, 1222 logical -1124, 1217 machinery 58 1 management of evidential -328 mathematical -166,579 ...
doi:10.1016/s0004-3702(97)80122-1
fatcat:6az7xycuifaerl7kmv7l3x6rpm
Miniature Mobile Sensor Platforms for Condition Monitoring of Structures
2009
IEEE Sensors Journal
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Each is designed to function in a complementary manner, maximizing the potential for detection of both surface and internal defects. ...
Particular emphasis is placed on the generic architecture of a novel, intelligent sensor platform and its positioning on the structure under test. ...
This research received funding from the Engineering and Physical Sciences Research Council (EPSRC) and forms part of the core research program within the Research Centre for NDE, in the UK. ...
doi:10.1109/jsen.2009.2027405
fatcat:3ul4wu4tzre63eq2uetqxmyyma
Reports of the AAAI 2011 Conference Workshops
2012
The AI Magazine
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in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong Learning; Plan, Activity, and Intent ...
Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Computational Models of Natural Argument; Generalized Planning; Human Computation; Human-Robot Interaction ...
Decision theory provides a general paradigm for designing agents that can operate in complex uncertain environments, and can act rationally to maximize their preferences. ...
doi:10.1609/aimag.v33i1.2390
fatcat:ux56aljo35f4zcbjur3spdz27y
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
[article]
2020
arXiv
pre-print
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This paper provides a comprehensive and systematic survey on the development lifecycle of ML-based IoT application. ...
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly feed data collected by sensors ...
[381] have given a comprehensive survey of the ML based methods used for resource allocation in mobile and wireless networking. ...
arXiv:1910.05433v5
fatcat:ffvjipmylve6feuzdbav2syxfu
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021
Information Fusion
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They have been applied to solve a variety of real-world problems in science and engineering. ...
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. ...
[151] presented a new UA model for a learning algorithm to control a mobile robot. ...
doi:10.1016/j.inffus.2021.05.008
fatcat:yschhguyxbfntftj6jv4dgywxm
Safe AI – How is this Possible?
[article]
2022
arXiv
pre-print
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We outline some of underlying challenges of safe AI and suggest a rigorous engineering framework for minimizing uncertainty, thereby increasing confidence, up to tolerable levels, in the safe behavior ...
Ttraditional safety engineering is coming to a turning point moving from deterministic, non-evolving systems operating in well-defined contexts to increasingly autonomous and learning-enabled AI systems ...
A common approach for specifying safety envelopes is based on maximizing underapproximations, thereby also maximizing the number of known safe behaviors. ...
arXiv:2201.10436v2
fatcat:lu5ibn3qc5hormd4w6zjmszplq
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
[article]
2021
arXiv
pre-print
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Then, we outline a few important applications of UQ methods. ...
It can be applied to solve a variety of real-world applications in science and engineering. ...
Kahn et al. a [182] presented a new UA model for learning algorithm to control a mobile robot. ...
arXiv:2011.06225v4
fatcat:wwnl7duqwbcqbavat225jkns5u
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