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Hamed Ahmadi
Hamed Ahmadi
Associate Professor, Bioscience and Agriculture Modeling, Tarbiat Modares University
Verified email at modares.ac.ir - Homepage
Title
Cited by
Cited by
Year
Effects of zinc oxide nanoparticles on the egg quality, immune response, zinc retention, and blood parameters of laying hens in the late phase of production
M Abedini, F Shariatmadari, MA Karimi Torshizi, H Ahmadi
Journal of animal physiology and animal nutrition 102 (3), 736-745, 2018
712018
Modeling and optimizing a new culture medium for in vitro rooting of G× N15 Prunus rootstock using artificial neural network-genetic algorithm
MM Arab, A Yadollahi, M Eftekhari, H Ahmadi, M Akbari, SS Khorami
Scientific reports 8 (1), 1-18, 2018
702018
Artificial neural network genetic algorithm as powerful tool to predict and optimize in vitro proliferation mineral medium for G× N15 rootstock
MM Arab, A Yadollahi, A Shojaeiyan, H Ahmadi
Frontiers in plant science 7, 220740, 2016
632016
Group method of data handling-type neural network prediction of broiler performance based on dietary metabolizable energy, methionine, and lysine
H Ahmadi, M Mottaghitalab, N Nariman-Zadeh
The Journal of Applied Poultry Research 16 (4), 494-501, 2007
632007
A meta-analysis of responses to dietary nonphytate phosphorus and phytase in laying hens
H Ahmadi, M Rodehutscord
Poultry Science 91 (8), 2072-2078, 2012
602012
Meta-analysis of the influence of dietary glycine and serine, with consideration of methionine and cysteine, on growth and feed conversion of broilers
W Siegert, H Ahmadi, M Rodehutscord
Poultry Science 94 (8), 1853-1863, 2015
562015
The integration of broiler chicken threonine responses data into neural network models
H Ahmadi, A Golian
Poultry science 89 (11), 2535-2541, 2010
552010
Effect of dietary supplementation of licorice extract and a prebiotic on performance and blood metabolites of broilers
M Sedghi, A Golian, H Kermanshahi, H Ahmadi
South African Journal of Animal Science 40 (4), 2010
552010
Effects of a dietary supplementation with zinc oxide nanoparticles, compared to zinc oxide and zinc methionine, on performance, egg quality, and zinc status of laying hens
M Abedini, F Shariatmadari, MAK Torshizi, H Ahmadi
Livestock Science 203, 30-36, 2017
542017
Predicting in vitro culture medium macro-nutrients composition for pear rootstocks using regression analysis and neural network models
S Jamshidi, A Yadollahi, H Ahmadi, MM Arab, M Eftekhari
Frontiers in plant science 7, 163722, 2016
542016
Evaluating two multistrain probiotics on growth performance, intestinal morphology, lipid oxidation and ileal microflora in chickens
SA Kazemi, H Ahmadi, MA Karimi Torshizi
Journal of Animal Physiology and Animal Nutrition 103 (5), 1399-1407, 2019
532019
Mathematical modeling of growth and paclitaxel biosynthesis in Corylus avellana cell culture responding to fungal elicitors using multilayer perceptron-genetic algorithm
M Salehi, S Farhadi, A Moieni, N Safaie, H Ahmadi
Frontiers in plant science 11, 545556, 2020
522020
A quantitative study of the interactive effects of glycine and serine with threonine and choline on growth performance in broilers
W Siegert, H Ahmadi, A Helmbrecht, M Rodehutscord
Poultry Science 94 (7), 1557-1568, 2015
512015
Response surface and neural network models for performance of broiler chicks fed diets varying in digestible protein and critical amino acids from 11 to 17 days of age
H Ahmadi, A Golian
Poultry science 90 (9), 2085-2096, 2011
512011
Relationship between color and tannin content in sorghum grain: application of image analysis and artificial neural network
M Sedghi, A Golian, P Soleimani-Roodi, A Ahmadi, M Aami-Azghadi
Brazilian Journal of Poultry Science 14, 57-62, 2012
492012
Hyperbolastic models as a new powerful tool to describe broiler growth kinetics
H Ahmadi, M Mottaghitalab
Poultry Science 86 (11), 2461-2465, 2007
462007
Effects of zinc oxide nanoparticles on performance, egg quality, tissue zinc content, bone parameters, and antioxidative status in laying hens
M Abedini, F Shariatmadari, MAK Torshizi, H Ahmadi
Biological trace element research 184, 259-267, 2018
432018
Application of artificial neural network and support vector machines in predicting metabolizable energy in compound feeds for pigs
H Ahmadi, M Rodehutscord
Frontiers in nutrition 4, 27, 2017
422017
Estimation and modeling true metabolizable energy of sorghum grain for poultry
M Sedghi, MR Ebadi, A Golian, H Ahmadi
Poultry science 90 (5), 1138-1143, 2011
412011
Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network
H Ahmadi, A Golian, M Mottaghitalab, N Nariman-Zadeh
Poultry Science 87 (9), 1909-1912, 2008
342008
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