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
Portfolio Optimization for Defence Applications
2020
IEEE Access
However, the literature regarding portfolio optimization for defense applications is rather sparse. ...
While the field of portfolio optimization is well established, applications in the defense sector pose unique challenges not seen in other application domains. ...
A case study consisting of five offensive units and four defensive units was considered in the experimental section using an adaptive immune genetic algorithm. ...
doi:10.1109/access.2020.2983141
fatcat:yxvillvsmjemrp4ooomfqrhaiq
Table of Contents
2020
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Singh and Nan Ye .......... 241 A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks Ripple Spreading Algorithm for Free-Flight Route Optimization in Dynamical Airspace Hang Zhou and Xiao-Bing Hu ...
An Artificial Immune System for Adaptive Test Selection Lukas Rosenbauer, Anthony Stein and Joerg Haehner .......... 2940 NDBIris with Better Unlinkability Dongdong Zhao, Xiaoyan Zhou, Jianwen Xiang and ...
doi:10.1109/ssci47803.2020.9308155
fatcat:hyargfnk4vevpnooatlovxm4li
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates
2018
Zenodo
species tosurvive in harsh environments. ...
infections caused by antibiotic-resistant pathogens; developingtechniques to enable rapid transient immunity for emerging pathogens; andidentifying fundamental biological mechanisms that enable certain ...
FY 2019 Plans: -Show the underlying common configurations for optimal hardware which might exist for classes of big data problems. ...
doi:10.5281/zenodo.1215599
fatcat:kxduvg6a5nflhf6iilkwnolobu
The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey
2021
American Journal of Artificial Intelligence
AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems) ...
Organizations have more data than ever, so it's crucial to ensure that the analytics team should differentiate between Interesting Data and Useful Data. ...
Jianbin Xiong et al [43] propose a parameter optimization algorithm for the SVM based on multi-genetic algorithm. ...
doi:10.11648/j.ajai.20210501.12
fatcat:gvplqmpqubdw3pquik5eavux5u
Toward virtual biopsy through an all fiber optic ultrasonic miniaturized transducer: a proposal
2003
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
Page 14 ............Scheduling algorithms ....Data systems ........Data acquisition ............Fastbus ............User-generated content ........Data compression ............Adaptive coding ......... ...
........Adaptive algorithms ............Adaptation models ........Algorithm design and analysis ........Approximation algorithms ........Backpropagation algorithms ........Basis algorithms ........Change ...
doi:10.1109/tuffc.2003.1244749
fatcat:l3jre4etsvcqzfyz2jqggji3gy
Transdisciplinary consolidation of financial technologies with knowledge systems
Трансдисциплінарна консолідація фінансових технологій із системами знань
2021
Fìnansi Ukraïni
Трансдисциплінарна консолідація фінансових технологій із системами знань
Consolidated interaction is carried out in the process of implementing innovative projects. An aggregative model of consolidated interaction is presented. ...
Since its establishment in 2014, BTO has optimized its approach, operations, and research portfolio to create opportunities to transition defense-relevant capabilities to military end users and, in some ...
of scientific, sensor, social, environmental, and many other kinds of data. ...
doi:10.33763/finukr2021.11.054
fatcat:edc3aarta5gq7be2wixkynjz7q
Engineering Life into Technology: the Application of Complexity Theory to a Potential Phase Transition in Intelligence
2010
Symmetry
Information optimization is a centerpiece phenomenon in the universe. ...
A complex dynamical system is emerging in response, the engineering of life into technology. ...
Another example of military robotics is the DARPA Grand Challenge, where there have been three rounds of competition for unmanned navigation vehicles, lastly in an urban environment [80] . ...
doi:10.3390/sym2010150
fatcat:5uiuuiuwybgjxjpb3ml5ygg4ie
The Collaboration between Humans and Robots in the Industrial Environment
2021
Robotica & Management
Problems of designing safer robots in human-machine interaction systems are urgent research topics in the field of industrial robotics. ...
This study will describe how the robotics industry evolved increasingly and a new phase of advanced robotics has emerged, and the relation between humans and robots in the same workplace. ...
challenges associated the fourth industrial revolution and help all stakeholders shape appropriate solutions in a proactive and comprehensive manner, in collaboration with our partners, members, and constituents ...
doi:10.24193/rm.2021.2.2
doaj:54a19af238e24f6aba58525cf5e6b5c1
fatcat:zaxloupe65fmzawexk4hkwslne
Précis of Simple heuristics that make us smart
2000
Behavioral and Brain Sciences
In Simple heuristics that make us smart (Gigerenzer et al. 1999), we explore fast and frugal heuristics--simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources ...
environments. ...
Sub-optimal reasons for rejecting optimality A paradox in the rationale for fast and frugal algorithms. There is a curious paradox in Gigerenzer et al.' ...
pmid:11301545
fatcat:2rcestruqzeurjcgbvj2akmfbm
Précis of Simple heuristics that make us smart
2000
Behavioral and Brain Sciences
environments. ...
These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data -that is, simplicity leads to robustness. ...
The structures of environments are essential for understanding cognition and behavior in terms of adaptation, because adaptations are shaped by (past) environments. ...
doi:10.1017/s0140525x00003447
fatcat:43gpji75ifbv3jej4n2xef25vi
OSTP-AWhite House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence
2017
Figshare
White House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence ...
FLI helped to develop a set of suggested "Research Priorities for Robust and Beneficial Artificial Intelligence" along these lines (available at http://futureoflife.org/data/documents/research_priorities.pdf ...
Like other economic transitions, AI has the potential for a dramatic increase in prosperity. ...
doi:10.6084/m9.figshare.4640305
fatcat:26aelpe4ejbupao5yh2mys2pzq
Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability
[chapter]
2001
Lecture Notes in Computer Science
Ackerman, John T Strategic Studies Quarterly: An Air Force-Sponsored Strategic Forum for Military, Government, and Academic Professionals. Volume 2, Number 1 -7 Acuff, Hugh F ...
100-A electrical service that can be adapted for numerous civilian and military operations. ...
The requirement for larger memory while building big databases can sometimes make this resource a bottleneck for an information indexing system. ...
doi:10.1007/3-540-45443-8_20
fatcat:ght26tu6avh57kkp54kifofaee
A* Algorithm
[chapter]
2013
Encyclopedia of Operations Research and Management Science
A heuristic search procedure that selects a node in its search tree for expansion such that the selected node has minimum value of the sum of the cost to reach the node plus a heuristic cost value for ...
▶ Expert Systems ▶ Game Theory ▶ Genetic Algorithms ▶ Graph Theory ▶ Heuristics ▶ Horn Clause ▶ Inference Engine ▶ Integer and Combinatorial Optimization ▶ Logic Programming ▶ Machine Learning ▶ Metaheuristics ...
The key weakness in early optimization systems was not in their algorithms, however, but in their interaction with modelers. ...
doi:10.1007/978-1-4419-1153-7_200001
fatcat:pqhbvw2wtjefrdr64yendafiya
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
2019
International Journal of Information Management
-Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in ...
panellists from industry and public sector organisations for enriching our understanding of this emerging area by providing their valuable perspectives that have informed the views presented in this article ...
We are also very grateful to our Senior PVC -Professor Hilary Lappin-Scott, the keynote speaker -Mr Lee Waters AM, Deputy Minister for Economy and Transport, National Assembly for Wales and the following ...
doi:10.1016/j.ijinfomgt.2019.08.002
fatcat:f2bggou4unhgjoiei2hzimigmu
International multidisciplinary scientific conferences on the DIALOGUE BETWEEN SCIENCE & ARTS, RELIGION
2021
Zenodo
The basis for minimizing risks when modeling the optimal investment portfolio
of an insurance company is an analysis of the existing system for minimizing risks
arising from the placement of assets of ...
After being in Poland for 5 years for military mission, in 1837 he went to his
motherland on holiday. ...
doi:10.5281/zenodo.5763686
fatcat:v2oongoq4be2femu2bpy4brgm4
« Previous
Showing results 1 — 15 out of 117 results