Shahab Khosravi  Mohammad Safari  Zahra Emam-Djomeh  Mohammad-Taghi Golmakani 《Journal of Food Processing and Preservation》2019,43(2):e13872

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Daniel E. Miller  Mohamad T. Shahab 《International Journal of Adaptive Control and Signal Processing》2021,35(6):965-990

Classical discrete-time adaptive controllers typically provide asymptotic stabilization and tracking; usually the affect of the noise is at best bounded-input bounded-output. Recently we have shown that if you design a discrete-time adaptive controller in just the right way, then in a variety of situations you not only obtain exponential stability, but also a bounded gain on the noise in every p−norm, as well as a never-before-seen linear-like convolution bound on the input–output behavior. Quite surprisingly, the approach is very natural, and relies on the use of the unmodified, original projection algorithm to carry out parameter estimation; if the set of plant uncertainty is not convex, then a multi-estimator and switching are used. The goal of this paper is to provide an overview of the approach, discuss the results-to-date, and list some of the open problems.  相似文献   

    

Abdolhossein Hemmati‐Sarapardeh  Mohammad‐Hossein Ghazanfari  Shahab Ayatollahi  Mohsen Masihi 《加拿大化工杂志》2016,94(2):253-261

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Shahab Kashani Rahimi  Joshua U. Otaigbe 《Polymer Engineering and Science》2016,56(9):1045-1060

The creep behavior and solid and melt linear viscoelasticity of novel polyamide 6 (PA6) nanocomposites reinforced with cellulose nanocrystals (CNCs) prepared via in situ anionic ring‐opening polymerization (ROP) were investigated to accelerate research efforts to develop new polymeric materials with improved properties for lightweight, load‐bearing applications. The obtained results showed that incorporation of relatively small amounts of ≤ 2wt% CNCs into the PA6 thermoplastic matrix gave nanocomposite samples with significantly enhanced creep and viscoelastic materials functions of the PA6 as indicated by lower creep strain, lower creep compliance, improved elastic recovery after removal of load, and reduced Arrhenius activation energies for time‐dependent viscoplastic flow. The obtained results were analyzed and interpreted by theoretical equations for predicting the viscoelasticity and creep behavior of polymeric systems. The melt rheological properties showed enhanced melt strength and elasticity. The formation of a percolated network structure of CNC was revealed by morphological observations that were consistent with the dynamic structure break‐up and reformation rheological experiments. The stiffness, rigidity of the CNCs along with their special ROP‐facilitated intrinsic strong chemical interactions with the PA6 matrix is believed to be responsible for the observed superior creep and viscoelastic materials functions even with very little CNC concentration. POLYM. ENG. SCI. 56:1045–1060, 2016. © 2016 Society of Plastics Engineers  相似文献   

    

Shahab Bozorgmehri  Hussain Aboud  Gajapathiraju Chamarthi  I-Chia Liu  Ozrazgat-Baslanti Tezcan  Ashutosh M. Shukla  Amir Kazory  Ruchi Rupam  Mark S. Segal  Azra Bihorac  Rajesh Mohandas 《Hemodialysis international. International Symposium on Home Hemodialysis》2021,25(2):188-197

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Mojtaba Asadirad  Ying Gao  Pavel Dutta  Shahab Shervin  Sicong Sun  Srikanth Ravipati  Seung Hwan Kim  Yao Yao  Keon Hwa Lee  Alexander P. Litvinchuk  Venkat Selvamanickam  Jae‐Hyun Ryou 《Advanced Electronic Materials》2016,2(8)

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Arash Azamifard  Gholamreza Bashiri  Shahab Gerami  Abdolhossein Hemmati‐Sarapardeh 《加拿大化工杂志》2017,95(8):1615-1625

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Alireza Shahab Lavasani 《Journal of Food Processing and Preservation》2021,45(7):e15615

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Mostafa Lashkarbolooki  Shahab Ayatollahi 《加拿大化工杂志》2018,96(6):1396-1402

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Shahab Saquib Sohail  Rashid Ali 《国际智能系统杂志》2018,33(2):396-416

Generally the book recommendation approaches are personalized in nature, that is, they utilize the users’ purchasing behavior to recommend them the book similar to their preferences. The main problem with the personalized recommendation is its knowledge requirement about users’ past preferences. As a result, these techniques fail in producing appropriate recommendation for a new user whose preferences are not known. The personalized recommendation also needs extra space to store the users’ preferences. In this paper, a framework to recommend books to university students for their studies is presented. In order to answer which books are to be included in the syllabus, a specialized way of recommendation, where recommendations from experts of the subjects at different universities are considered, is presented. We have suggested a ranked recommendation approach for books, which employ Ordered Weighted Aggregation (OWA), a fuzzy‐based aggregation, to aggregate the several ranking of the top universities. On the one hand, it does not need user prior preferences, and on the other hand, it eases the complexities of personalized recommendation to huge number of users and replaces it with a single ranked recommendation. The experimental results are compared with the existing positional aggregation algorithm that demonstrates significant improvement in the results with respect to various performance metrics.  相似文献