Projected Quantum Kernel for IoT Data Analysis

Authors: D'Amore, Francesco, Mariani, Luca, Mastroianni, Carlo, Settino, Jacopo, Vinci, Andrea

Source: 2024 IEEE Conference on Pervasive and Intelligent Computing (PICom). :173-177

Subject Terms: Quantum algorithm,Quantum advantage,Machine learning algorithms,Computational modeling,Machine learning,Predictive models,Internet of Things,Noise measurement,Kernel,Testing,quantum computing,quantum machine learning,kernels,projected quantum kernel,IoT

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Access URL: https://hdl.handle.net/20.500.14243/522128
https://doi.org/10.1109/picom64201.2024.00032

Reverse Engineering Workflows for the Structural Assessment of Historical Buildings

Authors: Massafra, Angelo, Prati, Davide, Gulli, Riccardo

Source: International Journal of Architectural Heritage. 19:702-723

Subject Terms: Built cultural heritage, generative algorithms, parametric modeling, reverse engineering, structural analysis, terrestrial laser scanning, Built cultural heritage, generative algorithms, parametric modeling, reverse engineering, structural analysis, terrestrial laser scanning

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Access URL: https://hdl.handle.net/10446/279255
https://doi.org/10.1080/15583058.2024.2377295
https://hdl.handle.net/11585/994906
https://www.tandfonline.com/doi/full/10.1080/15583058.2024.2377295
https://doi.org/10.1080/15583058.2024.2377295

Causal Transmission Line Geometry Optimization for Impedance Control in PCBs

Authors: Peterson, Zachariah M.

Source: 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) Electrical Performance of Electronic Packaging and Systems (EPEPS), 2020 IEEE 29th Conference on. :1-3 Oct, 2020

Relation: 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)

The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models

Authors: Fuchs, Caro, Spolaor, Simone, Kaymak, Uzay, Nobile, Marco S.

Source: 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). :1-8

Subject Terms: 0301 basic medicine, data normalization, 03 medical and health sciences, data transformation, machine learning, genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, interpretable AI, data transformation, logtransformation, data normalization, machine learning, genetic algorithms, fuzzy modeling, fuzzy logic, fuzzy model, fuzzy logic, interpretable AI, 02 engineering and technology, log-transformation

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Access URL: https://research.tue.nl/en/publications/6870731f-8858-44ec-860c-b2c4a1579bc9
https://doi.org/10.1109/CIBCB55180.2022.9863019
https://hdl.handle.net/10278/5003620
https://ieeexplore.ieee.org/document/9863019
https://doi.org/10.1109/CIBCB55180.2022.9863019

Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators

Authors: Luca Zulberti, Matteo Monopoli, Pietro Nannipieri, Luca Fanucci

Source: 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME). :373-376

Subject Terms: Machine learning algorithms Computational modeling Memory management Computer architecture Machine learning Graph neural networks Hardware, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Performance Categorization for Personalized Learning in Vocational Training Simulators

Authors: P, Aswathi, Menon, Balu M., Rao, Bhavani R.

Source: 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT) ICALT Advanced Learning Technologies (ICALT), 2018 IEEE 18th International Conference on. :66-68 Jul, 2018

Relation: 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT)

Deep Learning Models vs. Hamzah Equation Superiority

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah, deep learning, neural networks, CNN, RNN, Transformer, memory, meaning, consciousness, fractional derivatives, non-local memory, fractal structures, semantic fields, time-space integration, machine learning, artificial intelligence, AGI, cognitive science, cognitive memory, fractal dynamics, non-recursive, semantic representation, artificial consciousness, neural representation, brain-inspired models, semantic models, human cognition, multi-scale perception, memory fields, consciousness theories, AGI architecture, field theories, brain models, neural connections, deep learning paradigms, field-based learning, semantic modeling, knowledge representation, linguistic models, neural architectures, non-linear dynamics, non-Euclidean space, machine perception, fractal geometry, temporal learning, human brain, computational neuroscience, learning algorithms, data representation, symbolic representation, deep neural networks, dynamic systems, cognitive architectures, memory storage, symbolic cognition, knowledge integration, quantum cognition, cognitive models, AI consciousness, fractal fields, complex systems, systems theory, evolutionary learning, time-domain models, entropy minimization, energy minimization, AGI theory, cognitive evolution, information processing, dynamic fields, self-organizing systems, recursive systems, data-driven learning, evolutionary algorithms, AI modeling, artificial memory, advanced learning models, human-AI interaction, neural evolution, semantic networks, predictive models, dimensionality reduction, cognitive models, model comparison, nonlinear learning, field dynamics, artificial brain, cognitive networks, deep cognitive learning, pattern recognition, spatiotemporal models, neural field theory, fractal perception, machine memory, temporal evolution, semantic perception, symbolic learning, learning theories, dynamic memory fields, deep learning evolution, cognitive science models, field-based computation, fractal cognition, non-linear learning, adaptive memory, memory-based learning, multidimensional AI, machine meaning, cognitive processes, conceptual learning, perception modeling, deep AI, memory in AI, multi-dimensional learning, fractal memory, cognitive computational models, integrated memory, neural field dynamics, AI interpretation, language models, memory systems, brain field, quantum AI, dynamic system modeling, artificial knowledge, deep perception, temporal dynamics, machine learning evolution, cognitive structure, knowledge evolution, space-time models, cognitive patterns, deep semantic networks, memory evolution, temporal memory, computational memory, memory structures, neural networks evolution, learning through memory, integrated neural systems, field-based perception, multi-scale learning, memory-based cognition, data-field integration, AI perception, machine learning systems, human intelligence models, fractal AI, conceptual evolution, artificial meaning, neural semantics, knowledge integration systems, AI memory systems, dynamic learning fields, multi-domain learning, semantic systems, neural structures, memory fields in AI, AI models comparison, symbolic learning systems, computational cognition, fractal data modeling, AI and cognition, neural field learning, learning by evolution, cognitive perception, memory theory, field memory dynamics, multi-dimensional cognition, complex memory systems, machine memory fields, AI cognition. Ask ChatGPT

Model Predictive Sample-based Motion Planning for Unmanned Aircraft Systems

Authors: Stefano Primatesta, Alessandro Pagliano, Giorgio Guglieri, Alessandro Rizzo

Source: 2021 International Conference on Unmanned Aircraft Systems (ICUAS). :111-119

Subject Terms: Heuristic algorithms, Computational modeling, Predictive models, Trajectory Planning

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Access URL: https://iris.polito.it/handle/11583/2913912
https://ieeexplore.ieee.org/abstract/document/9476836
https://ieeexplore.ieee.org/document/9476836/keywords#keywords
https://doi.org/10.1109/ICUAS51884.2021.9476836
https://hdl.handle.net/11583/2913912

Technical Review of the Domestic Nuclear Detection Office Transformational and Applied Research Directorate's Research and Development Program

Authors: Lavietes, A. D., Trebes, J., Borchers, R., Dahlburg, J., Donnelly, J., Isles, A., Johnson, N., Knoll, G., Kouzes, R., Lanza, R., Lieberman, J., Lund, J., Prussin, S., Russo, J., Slakey, F.

Source: IEEE Access Access, IEEE. 1:661-690 2013

ISSUES IN INTERDISCIPLINARY INTEGRATION TEACHING OF MATHEMATICS

Authors: Boltaev Erkin Kozievich

Subject Terms: 4. Education, Key words: cybernetics, theory of algorithms, mathematical modeling, subject-object, subject-subject, event, compilation, professional activity, integration, conceptual

Compact quasi-gas-dynamic system and high performance computing

Authors: Chetverushkin, B.N., Khankhasaeva, Ya.V., Lutskii, A.E. ^⁎

Source: In Journal of Computational and Applied Mathematics September 2020 375

Reflection of Processes of two Phase Filtration in Oil Saturated Hierarchic Medium by Data of Active Wave Geophysical Monitoring

Authors: Hachay, O., Khachay, A.

Source: Energy Procedia

Subject Terms: TWO PHASE, ELECTROMAGNETIC INDUCTION, ACOUSTIC FIELDS, porous, ELASTIC, 02 engineering and technology, method of mapping and monitoring, ALGORITHMS OF MODELING, seismic field, elastic, Energy(all), two phase, algorithms of modeling, 0202 electrical engineering, electronic engineering, information engineering, POROUS, SEISMIC FIELD, HIERARCHIC MEDIUM, Hierarchic medium, 0210 nano-technology, METHOD OF MAPPING AND MONITORING

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https://science.urfu.ru/ru/publications/reflection-of-processes-of-two-phase-filtration-in-oil-saturated-
https://www.sciencedirect.com/science/article/pii/S1876610216309699
https://core.ac.uk/display/82830430
http://elar.urfu.ru/handle/10995/75220
https://doi.org/10.1016/j.egypro.2016.10.023
http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85008249090

OPTIMIZATION OF BEARING STRUCTURES SUBJECT TO MECHANICAL SAFETY: AN EVOLUTIONARY APPROACH AND SOFTWARE

Authors: Anatoly Alekseytsev, Al Ali Mohamad

Source: International Journal for Computational Civil and Structural Engineering, Vol 18, Iss 2 (2022)

Subject Terms: genetic algorithms, evolutionary modeling, mechanical safety, optimization, progressive collapse, emergency actions, risk, software, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: https://ijccse.iasv.ru/index.php/ijccse/article/view/436; https://doaj.org/toc/2587-9618; https://doaj.org/toc/2588-0195

Access URL: https://doaj.org/article/d6654eb11d6548dc8d82c7a4161e3d35

Modeling and Interpretation Wave Fields in Hierarchical Heterogeneous Medium

Authors: Hachay, Olga A.^Aff7, Khachay, Andrey Y.^Aff8, Khachay, Oleg Y.^Aff8

Contributors: Shehata, Hany Farouk, Editor-in-Chief^Aff1, ElZahaby, Khalid M., Advisory Editor^Aff2, Chen, Dar Hao, Advisory Editor^Aff3, Frikha, Wissem, editor^Aff4, Varaksin, Serge, editor^Aff5, Viana da Fonseca, Antonio, editor^Aff6

Source: Soil Testing, Soil Stability and Ground Improvement : Proceedings of the 1st GeoMEast International Congress and Exhibition, Egypt 2017 on Sustainable Civil Infrastructures. :311-319

Time-bounded localization algorithm based on distributed Multidimensional Scaling for Wireless Sensor Networks

Authors: Tlili, Ferdews, Rachedi, Abderrezak, Benslimane, Abderrahim

Contributors: Rachedi, Abderrezak

Source: 2014 IEEE International Conference on Communications (ICC). :233-238

Subject Terms: Target Tracking, and Sensor Devices, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Wireless, 0202 electrical engineering, electronic engineering, information engineering, Algorithms and Modeling for Localization, 02 engineering and technology, Ad Hoc, and Mobility Management

Access URL: http://ieeexplore.ieee.org/document/6883324/
https://dblp.uni-trier.de/db/conf/icc/icc2014.html#TliliRB14
https://ieeexplore.ieee.org/document/6883324/
https://doi.org/10.1109/ICC.2014.6883324
https://hal-upec-upem.archives-ouvertes.fr/hal-00930123
http://dblp.uni-trier.de/db/conf/icc/icc2014.html#TliliRB14
https://hal.science/hal-00930123v1

Optimal control of nonlinear dynamic econometric models: An algorithm and an application

Authors: Viktoria Blüschke-Nikolaeva, Dmitri Blüschke, Reinhard Neck

Source: Computational Statistics & Data Analysis. 56:3230-3240

Subject Terms: Policy applications, ddc:330, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology, Optimal control, Stochastic control, Algorithms, Econometric modeling, Policy applications, Optimal control, C61, Stochastic control, 0502 economics and business, B22, C88, Algorithms, Econometric modeling

Access URL: http://comisef.eu/files/wps032.pdf
https://www.sciencedirect.com/science/article/pii/S0167947311001095
https://www.econstor.eu/handle/10419/37494
https://www.econstor.eu/bitstream/10419/37494/1/VfS_2010_pid_234.pdf
http://comisef.eu/files/wps032.pdf
https://ideas.repec.org/a/eee/csdana/v56y2012i11p3230-3240.html
https://isiarticles.com/bundles/Article/pre/pdf/19609.pdf
http://hdl.handle.net/10419/37494

NEW PROBABILISTIC STATISTICAL AND DYNAMIC MODELS TO CONTROL LIFE CYCLE IN LACTING COWS

Authors: I.M. MIKHAILENKO

Source: Sel'skokhozyaistvennaya Biologiya. 50:467-475

Subject Terms: 2. Zero hunger, 0404 agricultural biotechnology, dairy husbandry, reproduction, concept of lactating cows' health control, health, life cycle, lactation period, control algorithms, mathematical modeling, 04 agricultural and veterinary sciences, 0405 other agricultural sciences

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Access URL: http://www.agrobiology.ru/articles/4-2015mikhailenko.pdf
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http://cyberleninka.ru/article/n/new-probabilistic-statistical-and-dynamic-models-to-control-life-cycle-in-lacting-cows

Broadcasting on large scale heterogeneous platforms under the bounded multi-port model

Authors: Beaumont, Olivier, Eyraud-Dubois, Lionel, Kumar, Shailesh

Contributors: Beaumont, Olivier

Source: 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS). :1-11

Subject Terms: [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Broadcast Scheduling Resource Augmentation NP Completeness Approximation Algorithms Communication modeling

File Description: application/pdf

Access URL: http://hal.inria.fr/docs/00/61/87/84/PDF/BcastFirewall.pdf
https://inria.hal.science/inria-00444586v1
https://hal.inria.fr/inria-00444586
https://ieeexplore.ieee.org/document/5470447/
https://dblp.uni-trier.de/db/conf/ipps/ipdps2010.html#BeaumontEA10
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005470447
https://hal.inria.fr/inria-00444586/document

New Method of Active Electromagnetic Induction and Seismic Monitoring in Oil Saturated Media

Authors: Hachay, Olga ^{a, ⁎}, Khachay, Oleg ^b, Khachay, Andrey ^b

Source: In Energy Procedia 2014 59:28-35

О ЧАСТИЧНОЙ СИНХРОНИЗАЦИИ ИТЕРАЦИОННЫХ МЕТОДОВ

Authors: ДМИТРИЕВ АЛЕКСЕЙ ВАЛЕРЬЕВИЧ, ЕРМАКОВ СЕРГЕЙ МИХАЙЛОВИЧ

Subject Terms: МЕТОД МОНТЕ-КАРЛО,АСИНХРОННЫЕ МЕТОДЫ,АСИНХРОННЫЕ ИТЕРАЦИИ,ПАРАЛЛЕЛЬНЫЕ АЛГОРИТМЫ,СТАТИСТИЧЕСКОЕ МОДЕЛИРОВАНИЕ,MONTE CARLO METHODS,ASYNCHRONOUS METHODS,ASYNCHRONOUS ITERATIONS,PARALLEL ALGORITHMS,STATISTICAL MODELING

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