53 - Shojaeian, A., Bagherpour, H.*, Bagherpour, R., Parian, J. A., Fatehi, F., & Taghinezhad, E. (2023). The Potential Application of Innovative Methods in Neural Networks for Surface Crack Recognition of Unshelled Hazelnut. Journal of Food Processing and Preservation. https://doi.org/10.1155/2023/2177724. Download
52 - Taghinezhad, E.; Sharabiani, V.R.*; Shahiri, M.; Moinfar, A.; Szumny, A*. (2023). Predicting Quality Properties of Pears during Storage Using Hyper Spectral Imaging System. Agriculture, 13(10), 1913.
51 - Taghinezhad, E. *, Kaveh, M., Szumny, A., Figiel, A. and Blasco, J. (2023). Qualitative, energy and environmental aspects of microwave drying of pre‑treated apple slices. Scientific reports. Scientific Reports, 13(1), 16152.
50 - Taghinezhad, E., Kaveh, M., Szumny, A. and Figiel, A. (2023). Quantifying of the Best Model for Prediction of Greenhouse Gas Emission, Quality, and Thermal Property Values during Drying Using RSM (Case Study: Carrot). Applied Sciences, 13(15), p.8904.
49 - Aghdamifar, E., Sharabiani, V.R., Taghinezhad, E., Szymanek, M. and Dziwulska-Hunek, A. (2023). E-Nose as a Non-destructive and Fast Method for Identification and Classification of Coffee Beans Based on Soft Computing Models. Sensors and Actuators B: Chemical, p.134229.
48 - Teymori-Omran, M., Askari Asli-Ardeh, E., Taghinezhad, E., Motevali, A., Szumny, A. and Nowacka, M. (2023). Enhancing Energy Efficiency and Retention of Bioactive Compounds in Apple Drying: Comparative Analysis of Combined Hot Air–Infrared Drying Strategies. Applied Sciences, 13(13), p.7612.
47 - Askari Asli-Ardeh, E., Taghizadeh, G., & Taginezhad, E. (2022). Investigating the Effect of Some Operating Factors on the Performance of a Laboratory Cluster Threshing Machine–Case Study: Two Barley Varieties. Biomechanism and Bioenergy Research, 1(2), 86-92
46 - Żołnierczyk, A. K., Pachura, N., Bąbelewski, P., & Taghinezhad, E. (2023). Sensory and Biological Activity of Medlar (Mespilus germanica) and Quince ‘Nivalis’(Chaenomeles speciosa): A Comperative Study. Agriculture, 13(5), 922.
45 - Aghdamifar, E., Rasooli Sharabiani, V., Taghinezhad, E., Rezvanivand Fanaei, A., & Szymanek, M. (2023). Non-destructive method for identification and classification of varieties and quality of coffee beans based on soft computing models using VIS/NIR spectroscopy. European Food Research and Technology, 1-14.
44 - Taghinezhad, E., Szumny, A., & Figiel, A. (2023). The Application of Hyperspectral Imaging Technologies for the Prediction and Measurement of the Moisture Content of Various Agricultural Crops during the Drying Process. Molecules, 28(7), 2930
43 - Sharabiani, V.R., Nazarloo, A.S., Taghinezhad, E., Veza, I., Szumny, A., and Figiel, A. (2022). Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR. Food Science and Nutrition. 00:1–10. DOI: 10.1002/fsn3.3071.
42 - Askari, M., Abbaspour-Gilandeh, Y., Taghinezhad, E., Hegazy, R. and Okasha, M. (2022). Prediction and optimizing the multiple responses of the overall energy efficiency (OEE) of a tractor-implement system using response surface methodology. Journal of Terramechanics, 103, 11-17.
41 - Kaveh, M., Taghinezhad, E., Witrowa-Rajchert, D., Imanian, K., Khalife, E. and Nowacka, M. (2022). Use of ultrasound pre-treatment before microwave drying of kiwifruits –An optimization approach with response surface methodology. Journal Food Processing and Preservation, https://doi.org/10.1111/jfpp.16714.
40 - Rasooli Sharabiani, V., Kaveh, K., Taghinezhad, E., Abbaszadeh, R., Khalife, E., Szymanek, M. and Dziwulska-Hunek, A. (2022). Application of Artificial Neural Networks, Support Vector, Adaptive Neuro-Fuzzy Inference Systems for the Moisture Ratio of Parboiled Hulls. Applied Science, 12, 1771,https://doi.org/10.3390/app12041771
39 - Askari, M., Abbaspour-Gilandeh,Y., Taghinezhad, E., El Shal, A. M., Hegazy, R. and Okasha, M. (2021). Applying the Response Surface Methodology (RSM) Approach to Predict the Tractive Performance of an Agricultural Tractor during Semi-Deep Tillage. Agriculture, 11, 1043. https://doi.org/10.3390/agriculture11111043.
38 - Ebadollahi, A., Taghinezhad, E., Setzer, W. N. and Chen, G. (2021). Susceptibility of Tribolium castaneum (Coleoptera: Tenebrionidae) to the Fumigation of Two Essential Satureja Oils: Optimization and Modeling. Processes, 9, 1243. https://doi.org/10.3390/pr9071243.
37 - Nazarloo, A.S., Sharabiani, V.R., Gilandeh, Y.A., Taghinezhad, E., and Szymanek, M. (2021). Evaluation of Different Models for Non-Destructive Detection of Tomato Pesticide Residues Based on Near-Infrared Spectroscopy. Sensors. 21, 3032.
36 - Kaveh,M.; Abbaspour-Gilandeh, Y.; Taghinezhad, E.; Witrowa-Rajchert, D.; Nowacka,M. (2021). The Quality of Infrared Rotary Dried Terebinth (Pistacia atlantica L.)-Optimization and Prediction Approach Using Response Surface Methodology. Molecules, 26(7), 1999; https://doi.org/10.3390/molecules26071999.
35 - Taghinezhad, E.; Kaveh, M.; Szumny, A. (2021). Thermodynamic and Quality Performance Studies for Drying Kiwi in Hybrid Hot Air- Infrared Drying with Ultrasound Pretreatmen. Appl. Sci. 11(3), 1297; https://doi.org/10.3390/app11031297
34 - Taghinezhad, E.; Kaveh, M.; Szumny, A. (2021). Optimization and Prediction of the Drying and Quality of Turnip Slices by Convective-Infrared Dryer under Various Pretreatments by RSM and ANFIS Methods. Foods, 10(2), 284; https://doi.org/10.3390/foods10020284.
33 - Soltani Nazarloo, A.; Rasooli Sharabiani, V.; Abbaspour Gilandeh, Y.; Taghinezhad, E.;Szymanek,M.; Sprawka,M. (2021). Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes. Processes, 9(2):196. https://doi.org/10.3390/pr9020196.
32 - Fazeli Burestan, N., Afkari Sayyah, A. H. and Taghinezhad, E. (2020). Prediction of some quality properties of rice and its flour by near-infrared spectroscopy (NIRS) analysis. Food Science & Nutrition, 9:1099–1105.
31 - Samuel, O. D., Okwu, M. O., Oyejide, O. J., Taghinezhad, E., Afzal, A. and Kaveh, M. (2020). Optimizing biodiesel production from abundant waste oils through empirical method and grey wolf optimizer. Fuel, https://doi.org/10.1016/j.fuel.2020.118701.
30 - Fazeli Burestan, N., Afkari Sayyah, A. H. and Taghinezhad, E. (2020). Mathematical modeling for the prediction of some quality parameters of white rice based on the strength properties of samples using response surface methodology (RSM). Food Science & Nutrition, 8: 4134 – 4144.
29 - Kaveh, M., Taghinezhad, E. and Aziz, M. (2020). Effects of physical and chemical pretreatments on drying and quality properties of blackberry (Rubus spp.) in hot air dryer. Food Science & Nutrition, 8: 3843–3856.
28 - Taghinezhad, E., Kaveh, M., Khalife, E., & Chen,G. (2020). Drying of organic blackberry in combined hot air- infrared dryer with ultrasound pretreatment. Drying Technology, https://doi.org/10.1080/07373937.2020.1753066.
27 - Jahanbakhshi, A., Kaveh, M., Taghinezhad, E., Rasooli Sharabiani, V. (2020). Assessment of kinetics, effective moisture diffusivity, specific energy consumption, shrinkage, and color in the pistachio kernel drying process in microwave drying with ultrasonic pretreatment. Journal of Food Processing and Preservation, https://doi.org/10.1111/jfpp.14449.
26 - Kaveh, M., Amiri Chayjan, R., Taghinezhad, E., Rasooli Sharabiani, V., Motevali, A. (2020). Evaluation of specific energy consumption and GHG emissions for different drying methods (Case study: Pistacia Atlantica). Journal of Cleaner Production, Volume 259, https://doi.org/10.1016/j.jclepro.2020.120963.
25 - Taghinezhad, E., Kaveh, M. Jahanbakhshi, A. and Golpour, I. (2020). Use of artificial intelligence for the estimation of effective moisture diffusivity, specific energy consumption, color and shrinkage in quince drying. Journal of food process engineering, DOI: 10.1111/jfpe.13358.
24 - Ghaghelestany, A. B., Jahanbakhshi, A., Taghinezhad, E. (2020). Gene transfer to German chamomile (L chamomilla M) using cationic carbon nanotubes. Scientia Horticulturae. 263: 109106.
23 - Taghinezhad, E.; Kaveh, M.; Shimizu, N.; Kumar, A. and Szumny, A.; Rasooli Sharabiani, V. (2020). Drying of Parboiled Paddy with Different Dryer: Investigation of Thermodynamic and Quality Properties, Mathematical Modeling using ANNs. Foods. 9(1), 86; https://doi.org/10.3390/foods9010086.
22 - Ebrahimpour1, Z.; Rasooli sharabiani, V. and Taghinezhad, E. (2019). Modeling of Energy Consumption of Cucumber Greenhouses using Artificial Neural Network and ANFIS. Emirates Journal for Engineering Research, 23 (1), 7-19.
21 - Ebadollahi, A. and Taghinezhad, E. (2019). Modeling and optimization of the insecticidal effects of Teucrium polium L. essential oil against red flour beetle (Tribolium castaneum Herbst) using response surface methodology. Information Processing In Agriculture, DOI: 10.1016/j.inpa.2019.08.004.
20 - Kisalaei, A.; Rasooli Sharabiani, V. and Taghinezhad, E. (2019). Application of image processing and linear regression models for estimation of nitrogen content of tomato leaves. Research on Crops, 20 (2): 345-352.
19 - Rasooli Sharabiani, V. Soltani Nazarloo, A. and Taghinezhad, E. (2019). Prediction of Protein Content of Winter Wheat by Canopy of Near Infrared Spectroscopy (NIRS), Using Partial Least Squares Regression (PLSR) and Artificial Neural Network (ANN) Models. Yuzuncu Yil University Journal of Agricultural Sciences, DOI: 10.29133/yyutbd.447926.
18 - Jahanbakhshi, A.;| Rasooli Sharabiani, V.; Heidarbeigi, K.; Kaveh, M. and Taghinezhad, E. (2019). Evaluation of engineering properties for waste control of tomato during harvesting and postharvesting. Food Science & Nutrition, 1473-1481.
17 - Sharabiani, V. and Taghinezhad, E. (2019). Quantifying of the relationship between novel Intermittent drying variables and some quality properties of parboiled rice using response surface methodology. Chemical Industry & Chemical Engineering Quarterly, DOI: 10.2298/ciceq170813033s.
16 - Kaveh, M., Amiri Chayjan, R., Taghinezhad, E., Abbaspour Gilandeh, Y., Younesi, A. and Rasooli Sharabiani, V. (2019). Modeling of thermodynamic properties of carrot product using ALO, GWO, and WOA algorithms under multi-stage semi-industrial continuous belt dryer. Engineering with Computers,https://doi.org/10.1007/s00366-018-0650-2.
15 - Fazeli Burestan, N., Afkari Sayyah, A. H., Taghinezhad, E., and Safi, M. (2019). Prediction of some chemical and physicochemical properties of white rice grain samples using near-infrared spectroscopy (NIRS) analysis. Innovative Food Technologies, http://jift.irost.ir/article_828.html.
14 - Kaveh, M., Jahanbakhshi, A., Abbaspour-Gilandeh, Y., Taghinezhad, E. and Farshbaf Moghimi, M. B. (2018). The effect of ultrasound pre-treatment on quality, drying, and thermodynamic attributes of almond kernel under convective dryer using ANNs and ANFIS network. Journal of food process engineering. DOI: 10.1111/jfpe.12868.
13 - Taghinezhad, E., Rasooli Sharabiani, V. and Kaveh, M. (2018). Modelling and Optimization of Hybrid HIR Drying Variables for Processing of Parboiled Paddy Using Response Surface Methodology. Iranian Journal of Chemistry and Chemical Engineering, 28 (4): 251-260. (http://www.ijcce.ac.ir/article_31861.html).
12 - Ebadollahi, A., Taghinezhad, E. and Davari, M. (2018). Optimization of the Antifungal Activity of Essential Oil Isolated from Aerial Parts of Thymus kotschyanus Boiss & Hohen (Lamiaceae). J. Appl. Sci. Environ. Manage, 22 (6) 907 –910.
11 - Kaveh, M., Rasooli Sharabiani, V., Amiri Chayjan, R., Taghinezhad, E., Abbaspour-Gilandeh, Y. and Golpour, I. (2018). ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato, garlic and cantaloupe drying under convective hot air dryer. Information processing in agriculture, Doi: 10.1016/j.inpa.2018.05.003.
10 - JahediRad, SH., Kaveh, M., Rasooli Sharabiani, V. and Taghinezhad, E. (2018). Fuzzy logic, artificial neural network and mathematical model for prediction of white mulberry drying kinetics. Heat and Mass Transfer, Doi: 10.1007/s00231-018-2377-4.
9 - Taghinezhad, E. and Rasooli Sharabiani, V. (2018). Effect of Chitosan Coating on Some Quality Properties of Thomson Orange during Storage (A case study in Iran). Agricultural Engineering International: CIGR Journal, 20 (1): 157- 161.
8 - Kaveh, M.; Abbaspour-Gilandeh, Y.; Amiri Chayjan, R.; Taghinezhad, E. & Mohammadigol, R. (2018). Mass transfer, physical, and mechanical characteristics of terebinth fruit (Pistacia atlantica L.) under convective infrared microwave drying. Heat and Mass Transfer, Doi: 10.1007/s00231-018-2287-5.
7 - Alaei, B.; Dibagar, N.; Amiri Chayjan, R.; Kaveh, M. and Taghinezhad, E. (2018). The effect of short and medium infrared radiation on some drying and quality characteristics of quince slices under vacuum condition. Quality Assurance and Safety of Crops & Foods, 10 (4): 371-381.
6 - Taghinezhad, E. Ebadollahi, A. (2017). Potential application of chitosan-clay coating on some quality properties of Lemon during storage. Agricultural Engineering International: CIGR Journal, 19 (3): 189- 194.
5 - Taghinezhad, E. and Brenner, T. (2016). Mathematical modeling of starch gelatinization and some quality properties of parboiled rice based on parboiling indicators using RSM. Journal of food process engineering. DOI 10.1111/jfpe.12483.
4 - Taghinezhad, E., Khoshtaghaza, M. H., Minaei, S., Suzuki, T. and Brenner, T. (2016). The relationship between degree of starch gelatinization and quality attributes of parboiled rice during steaming. Rice Science, 23(6): 339−344
3 - Taghinezhad, E., Khoshtaghaza, M. H., Suzuki, T., Minaei, S. and Brenner, T. (2015). “Quantifying the relationship between rice starch gelatinization and moisture-electrical conductivity of paddy during soaking”. Journal of Food Process Engineering, doi:10.1111/jfpe.12235.
2 - Taghinezhad, E., Khoshtaghaza, M. H., Minaei, S. and Latifi, A. (2015). “Effect of Soaking Temperature and Steaming Time on the Quality of Parboiled Iranian Paddy Rice”. International Journal of Food Engineering, doi:10.1515/ijfe-2014-0296.
1 - Banakar. A. and Taghinezhad, E. (2014). An Electronic Device for Controlling of Diesel Engines Temperature. Consumer Electronics Times, 3(1): 202-205.