A quantum classification algorithm for classification incomplete patterns based on entanglement measure

Abdel‐Aty, Abdel‐Haleem; Kadry, Heba; Zidan, Mohammed; Al-Sbou, Yazeed A.; Zanaty, E. A.; Abdel‐Aty, Mahmoud

doi:10.3233/jifs-179566

Cited by 41 publications

(16 citation statements)

References 36 publications

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“…Yet, it is necessary to conduct feeding trials over a longer period to check the performance, feed utilization, and optimum inclusion levels of these feedstuffs in diets for olive flounder. As future work, the most advanced computing models and artificial intelligence [56][57][58][59][60] can be applied to the sustainability of aquaculture.…”

Section: Discussionmentioning

confidence: 99%

Dynamical Hybrid System for Optimizing and Controlling Efficacy of Plant‐Based Protein in Aquafeeds

Dossou

Dawood

Zaineldin³

et al. 2021

Complexity

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In this paper, a mathematical model was used to evaluate a dynamical hybrid system for optimizing and controlling the efficacy of plant-based protein in aquafeeds. Fishmeal (FM), raw rapeseed meal (RM), and a fermented meal with yeast (RM-Yeast) and fungi (Aspergillus oryzae RM-Koji) were used as test ingredients for the determination of apparent digestibility coefficients (ADCs) of dry matter, crude protein, crude lipid, energy, and essential amino acids (EAA) for olive flounder (Paralichthys olivaceus, 7 ± 0.02 g) using diets containing 0.5% Cr2O3 as an inert indicator. Among all ingredients tested, FM had the maximum ADC of dry matter ( P < 0.05 ), protein ( P < 0.05 ), lipid ( P > 0.05 ), and energy ( P > 0.05 ). Fermented meals (RM-Yeast and RM-Koji) showed higher ADC ( P < 0.05 ) of crude protein compared with RM, while there was no significance in ADCs of crude lipid and energy among different forms of rapeseed meal. Besides, ADC of crude lipid for RM-Yeast and RM-Koji, on the one hand, and ADC of gross energy for RM-Yeast, on the other hand, were not varied from that for FM ( P > 0.05 ). Amino acid digestibility reflects protein digestibility in most cases. Interestingly, protease, lipase, and amylase activities were better expressed in RM-Koji, RM-Yeast, and FM over RM, respectively. The current results deliver important information on nutrients and energy bioavailability in raw and fermented RM, which can be implemented to accurately formulate applied feeds for olive flounder. Compared with other applicable systems, the complexity of the approach implemented has been considerably reduced.

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Section: Discussionmentioning

confidence: 99%

Dynamical Hybrid System for Optimizing and Controlling Efficacy of Plant‐Based Protein in Aquafeeds

Dossou

Dawood

Zaineldin³

et al. 2021

Complexity

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“…The best values obtained are

for parameters

and

respectively. Cloning may be useful to reduce the complexity of some quantum algorithms and quantum machine learning algorithms [53] .…”

Section: Resultsmentioning

confidence: 99%

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm

Houssein

Mahdy

Eldin

et al. 2021

Journal of Advanced Research

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“…(9), we get: Remark. It will be interesting to find more applications to our current paper in other fields see [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Main Convergent Resultsmentioning

confidence: 99%

An investigation of new quicker implicit iterations in hyperbolic spaces

et al. 2020

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A quantum classification algorithm for classification incomplete patterns based on entanglement measure

Cited by 41 publications

References 36 publications

Dynamical Hybrid System for Optimizing and Controlling Efficacy of Plant‐Based Protein in Aquafeeds

Dynamical Hybrid System for Optimizing and Controlling Efficacy of Plant‐Based Protein in Aquafeeds

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm

An investigation of new quicker implicit iterations in hyperbolic spaces

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