Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Soheil Sadat Hosseini"'
Multiple target tracking (MTT) is the process of computing the number of targets present in a surveillance area. MTT requires estimation of state variables and data association. New measurements are associated with existing tracks, clutter, or new tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a42a62e9f3f3713ccb7ac4a6242cd4
https://doi.org/10.1016/b978-0-12-816514-0.00018-7
https://doi.org/10.1016/b978-0-12-816514-0.00018-7
Autor:
Farid Wajdi Akashah, Hassan Z. Al Garni, Mumtaz Ali, Armando A. Apan, Anjali Awasthi, Rahim Azadnia, Hamoon Azizsoltani, Mourad Belgasmia, Omid Bozorg-Haddad, Tanmoy Chatterjee, Sourav Choudhary, Rajib Chowdhury, Xuefeng Chu, Kavina S. Dayal, Michael Delichatsios, Ravinesh C. Deo, S. Dey, Nathan J. Downs, Subhrajit Dutta, Amir H. Gandomi, J. Ramon Gaxiola-Camacho, Aboubaker Gherbi, Achintya Haldar, Soheil Sadat Hosseini, Pravin Jagtap, Mohsin M. Jamali, Madan K. Jha, Shahjahan Khan, Anoop Kodakkal, R.R. Kumar, Yuankai Li, Nehar Mandal, Tek Maraseni, Saman Maroufpoor, Vasant Matsagar, Anke Meyer-Baese, Behshad Mohebali, Tanmoy Mukhopadhya, Shahbaz Mushtaq, S. Naskar, Thong Nguyen-Huy, Wei Ning, Rachid Ouache, K.M. Pandey, Thendiyath Roshni, Zhang Runhong, Vikas Kumar Sharma, S. Sriramula, Amirhessam Tahmassebi, Anthony Teck Chee Goh, S. Mohsen Vazirizade, Francisco Javier Villegas-Mercado, Zhang Wengang, Li Yongqin, Jianping Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa66667f30fe6bb0b229272547390d8
https://doi.org/10.1016/b978-0-12-816514-0.01002-x
https://doi.org/10.1016/b978-0-12-816514-0.01002-x
Publikováno v:
Measurement. 122:14-19
Multiple Target Tracking (MTT) is the process of computing the number of targets present in a surveillance area. MTT requires estimation of state variables and data association. New measurements are associated with existing tracks, clutter or new tra
Publikováno v:
Applied Soft Computing. 12:1180-1186
The growing costs of fuel and operation of power generating units warrant improvement of optimization methodologies for economic dispatch (ED) problems. The practical ED problems have non-convex objective functions with equality and inequality constr
Publikováno v:
Expert Systems with Applications. 38:6556-6564
Research highlights? In this study, an optimization method, namely mesh adaptive direct search (MADS) is introduced to solve combined heat and power (CHP) economic dispatch problem. ? MADS is a recently developed algorithm that is supported by a thor
Publikováno v:
Neural Computing and Applications. 21:377-389
Short-term load forecasting is a popular topic in the electric power industry due to its essentiality in energy system planning and operation. Load forecasting is important in deregulated power systems since an improvement of a few percentages in the
Publikováno v:
The IES Journal Part A: Civil & Structural Engineering. 2:98-106
This article proposes a novel approach for the prediction of maximum dry density (MDD) and optimum moisture content (OMC) of soil-stabiliser mix by using radial basis function (RBF) neural networks. RBF neural network is utilised to construct compreh
Publikováno v:
EUSIPCO
Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive and may not achieve the real time requirements. So, it's desirable
Publikováno v:
Handbook of Genetic Programming Applications ISBN: 9783319208824
Handbook of Genetic Programming Applications
Handbook of Genetic Programming Applications
The purpose of having computers automatically resolve problems is essential for machine learning, artificial intelligence and a wide area covered by what Turing called‘machine intelligence’. Genetic programming (GP) is an adaptable and strong evo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d617b7b61926ad2a10af6005f59a3a63
https://doi.org/10.1007/978-3-319-20883-1_6
https://doi.org/10.1007/978-3-319-20883-1_6
Publikováno v:
Adaptation, Learning, and Optimization ISBN: 9783319143996
The increasing costs of fuels and operations of power generating units necessitate the development of optimization methods for economic dispatch (ED) problems. Classical optimization techniques such as direct search and gradient methods often fail to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8f4b8e7f9d2232fe60a16b7e1e2dc64
https://doi.org/10.1007/978-3-319-14400-9_6
https://doi.org/10.1007/978-3-319-14400-9_6