Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Abbas Seifi"'
Publikováno v:
Computation, Vol 12, Iss 5, p 98 (2024)
Over-capacity flight scheduling by commercial airlines due to the surging demand in recent years creates congestion and significant delays at major airports. This attitude towards maximizing throughput calls for tactical flight rescheduling to comply
Externí odkaz:
https://doaj.org/article/c336fd3ddff14a1aa2c382eeef2e44a1
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 18, Iss 57, Pp 101-143 (2020)
This paper aims to propose a knowledge sharing optimization model based on the game theory that optimizes both employer and employee(s) decisions simultaneously. This model is a bi-level programming model. The upper-level problem includes employer de
Externí odkaz:
https://doaj.org/article/4629f1e71f8d40cd9ee576463c800279
Autor:
Somayeh Sadeghi, Abbas Seifi
Publikováno v:
International Journal of Supply and Operations Management, Vol 6, Iss 3, Pp 200-212 (2019)
We describe the two-stage maximum flow network interdiction problem under endogenous stochastic interdiction. Our model consists of two agents playing a Stackelberg game. A smuggler who wishes to maximize the expected flow of some illegal commodities
Externí odkaz:
https://doaj.org/article/854bca1b8e344a9daa48b7305f538ed4
Autor:
Hadi Karimi, Abbas Seifi
Publikováno v:
International Journal of Industrial Engineering and Production Research, Vol 23, Iss 4, Pp 309-315 (2012)
The analytic center cutting plane method (ACCPM) is one of successful methods to solve nondifferentiable optimization problems. In this paper ACCPM is used for the first time in the vehicle routing problem with time windows (VRPTW) to accelerate lagr
Externí odkaz:
https://doaj.org/article/2acb428ba8164083a8aa313d19fe53a0
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the disease. We propose a multi-stream deep convolutional neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43da0c3d7e6681a4ff59f4bbcc34e90f
https://doi.org/10.1109/jbhi.2022.3155705
https://doi.org/10.1109/jbhi.2022.3155705
Autor:
Elnaz Azizi, Abbas Seifi
Publikováno v:
Annals of Operations Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d58181456d9ea73624ea75c48885386e
https://doi.org/10.1007/s10479-023-05350-1
https://doi.org/10.1007/s10479-023-05350-1
Autor:
Abbas Seifi, Reza Pakdel Mehrabani
Publikováno v:
Journal of Industrial and Production Engineering. 38:599-617
Today, many manufacturers are opening their own online store to neutralize power of dominant retailers. In a dual-channel supply chain, the manufacturer sells his product through a physical retaile...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8469107e90b6640818624fae5e7718c2
https://doi.org/10.1080/21681015.2021.1951855
https://doi.org/10.1080/21681015.2021.1951855
Publikováno v:
Journal of Modelling in Management. 16:441-463
Purpose There is usually a considerable shortage of resources and a lack of accurate data about the demand amount in a post-disaster situation. This paper aims to model the distribution and redistribution of relief items. When the new data on demand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::347ee9a5e891d9f04ba5f66f840534aa
https://doi.org/10.1108/jm2-11-2019-0257
https://doi.org/10.1108/jm2-11-2019-0257
Autor:
Abbas Seifi, Mohammad Mahdi Ershadi
Publikováno v:
Intelligent Decision Technologies. 14:337-347
There are many useful data mining methods for diagnosis of diseases and cancers. However, early diagnosis of a disease or cancer could significantly affect the chance of patient survival in some cases. The objective of this study is to develop a meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ebdeb00b9f7cd0bf08c356fe037f9f8
https://doi.org/10.3233/idt-190060
https://doi.org/10.3233/idt-190060
Autor:
Abbas Seifi, Mohammad Mahdi Ershadi
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 13:103-126
PurposeThis study aims to differential diagnosis of some diseases using classification methods to support effective medical treatment. For this purpose, different classification methods based on data, experts’ knowledge and both are considered in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::797d000062392f8b0217e8eb21b457e3
https://doi.org/10.1108/ijicc-10-2019-0112
https://doi.org/10.1108/ijicc-10-2019-0112