mastodon 4.7.2See:
https://www.ibspan.waw.pl/~paprzyck/
or
https://scholar.google.com/citations?user=OWSryNQAAAAJ&hl=en&oi=ao
How to ensure #innovation in today’s business environment? Can clustering be used in order to #optimize the supply chain process and maximize profits?
Read more in a special issue paper “Logistics Optimization in Supply Chain Management using Clustering Algorithms” by R Mahesh Prabhu, G Hema, Srilatha Chepure and M. Nageswara Guptha published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/dBahsMNk
Early detection, as well as risk evaluation and prediction, are crucial in controlling cardiovascular-related diseases. How can #DeepLearning methods be applied for #CVD diagnosis using ECG?
Read more in a special issue paper “Analysis on Deep Learning methods for ECG based Cardiovascular Disease prediction” by S Kusuma and J Divya Udayan published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/djeU_rcP
Proposing an ant colony-based method for the problem of sensor nodes deployment to maximize the coverage area.: “Ant Colony based Coverage Optimization in Wireless Sensor Networks” by Mina Khoshrangbaf, Vahid Khalilpour Akram, Moharram Challenger. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems; ACSIS, Vol. 32, pages 155–159(2022).
#antcolony #coverageoptimization
Open Access: https://lnkd.in/e2Qnp3ma
Discussing a heuristic algorithm that focuses on workload reconstruction based on pattern discovery in a simplified workload notation: “Heuristic algorithm for periodic patterns discovery in a database workload reconstruction” by Marcin Zimniak, Marta Burzańska, Piotr Wiśniewski, Bogdan Franczyk. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems; ACSIS, Vol. 32, pages 139–142(2022).
#workloadreconstruction #database
Open Access: https://lnkd.in/d66YEjVN
Attention all data science enthusiasts! Join us at #FEDCSIS for the RSTA session and learn about Rough Sets: Theory and Applications. This is a great opportunity to connect with experts in the field and discover the latest advancements. Register now and secure your spot! Registration link: https://lnkd.in/d3tHVVb8 #RSTA #DataScience #AI #MachineLearning"
Attention all optimization enthusiasts! Join us at #FEDCSIS for the Computational Optimization session and learn about the latest developments in optimization algorithms and applications. Don't miss out on this exciting opportunity to connect with experts in the field. Register now!
Registration link: https://lnkd.in/dUzjSuU7 #Optimization #AI #MachineLearning
How to ensure #innovation in today’s business environment? Can clustering be used in order to #optimize the supply chain process and maximize profits?
Read more in a special issue paper “Logistics Optimization in Supply Chain Management using Clustering Algorithms” by R Mahesh Prabhu, G Hema, Srilatha Chepure and M. Nageswara Guptha published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/dBahsMNk
What is the best way to provide #security for vehicular communication? How to ensure that the original identity of nodes is not exposed with the uncertain message authentication rate in a #VANET?
Read more in a special issue paper “SPCACF: Secured Privacy-Conserving Authentication Scheme using Cuckoo Filter in VANET” by A Rengarajan and M Mohammed Thaha published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/dZ_U9JRR
Describing the implementation of the finite element numerical integration algorithm for the Intel Iris Xe-LP Graphics Processing Unit: “Intel Iris Xe-LP as a platform for scientific computing” by Filip Krużel, Mateusz Nytko. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems(15th Workshop on Computer Aspects of Numerical Algorithms), appeared in: ACSIS, Vol. 32, pages 121–128(2022).
#GPU #IntelIris
Open Access: https://lnkd.in/eUR9zDD2
PLATFORMS FOR THE DEVELOPMENT OF AGENT SYSTEMS
https://www.ibspan.waw.pl/~paprzyck/mp/cvr/research/agent_platforms_site/agent_platforms.html
comments/suggestions/updates are more than welcome!
How to perform image #classification and visualization on #hyperspectral images? What kind of methods would be resilient to scalability issues?
Read more in a special issue paper “Detection and Classification of 2D and 3D Hyper Spectral Image using Enhanced Harris Corner Detector” by A Karthikeyan, S Pavithr and, P M Anu published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://lnkd.in/dkJkhGqH
Using a least squares method to estimate parameter values in the Lotka-Volterra model: “Parameters Estimation of a Lotka-Volterra Model in an Application for Market Graphics Processing Units” by Dzhakhongir Normatov, Paolo Mercorelli. Proceedings of the 17th Conference on Computer Science and Intelligence Systems(7th Doctoral Symposium on Recent Advances in Information Technology), ACSIS, Vol. 30, pages 935–938 (2022).
#gpu #parametersestimation
Open Access: https://lnkd.in/dMWh65t4
Investigating the computational efficiency of several stochastic algorithms for multidimensional numerical integration: “An Optimization Technique for Estimating Sobol Sensitivity Indices” by Venelin Todorov, Slavi Georgiev. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems(15th International Workshop on Computational Optimization), ACSIS, Vol. 32, pages 93–96 (2022).
#Sobol #Halton #montecarlo
Open Access: https://lnkd.in/dxGsAfSd
Presenting efficient optimization technique for Monte Carlo methods: “A Stochastic Optimization Method for European Option Pricing” by Venelin Todorov, Slavi Georgiev. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems(15th International Workshop on Computational Optimization), appeared in: Maria Ganzha, L. Maciaszek, Marcin Paprzycki, Dominik Ślęzak (eds); ACSIS, Vol. 32, pages 97–100 (2022).
#europeanoption #montecarlo
Open Access: https://lnkd.in/du5sYcRA
Call for Papers; Software, System and Service Engineering (S3E’23); FedCSIS 2023 event; IEEE: #57573, 70 punktów parametrycznych MEiN; publication IEEE DL, SCOPUS; deadline: May 23, 2023; https://fedcsis.org/sessions/s3e
Investigating the computational efficiency of several stochastic algorithms for multidimensional numerical integration: “An Optimization Technique for Estimating Sobol Sensitivity Indices” by Venelin Todorov, Slavi Georgiev. Communication Papers of the 17th Conference on Computer Science and Intelligence Systems(15th International Workshop on Computational Optimization), ACSIS, Vol. 32, pages 93–96 (2022).
#Sobol #Halton #montecarlo
Open Access: https://tinyurl.com/3t5beshv
How can information hidden using image #steganography be efficiently decoded? Can generative adversarial networks (#GAN) be used to improve the performance of steganalysis?
Read more in a special issue paper “A Novel Approach Based on Modified Cycle Generative Adversarial Networks for Image Steganography” by P G Kuppusamy, K C Ramya, S Sheebha Rani, M Sivaram and Vigneswaran Dhasarathan published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://tinyurl.com/4nzwtndp
Presenting results of some scalability experiments with the basic MPI and a hybrid MPI-OpenMP parallel implementations of UNI-DEM on the new Bulgarian petascale supercomputer DISCOVERER: “Performance and Scalability Experiments with a Large-scale Air Pollution Model on the EuroHPC Petascale Supercomputer DISCOVERER” by Tzvetan Ostromsky. ACSIS, Vol. 32, pages 81–84 (2022).
#airpollution #supercomputer #parallelcomputing
Open Access: https://tinyurl.com/5ck6snxk
List of publications of "Multi-task, Multilingual, Multi-modal Language Generation; Multi3Generation" COST action has been updated. For complete list, see: https://multi3generation.eu/outcomes/publications/
Information Technology and Control :
An issue has been published.