Publications during last 8 years (2014-2021)
Book Chapters:
1. Y.N. Benayache, T. Nguyen-Quang, K. Hushchyna, K. McLellan, F.Z. Afri-Mehennaoui and N. Bouaïcha (2019) - An overview of cyanobacteria Harmful Algal Blooms (cyanoHABs) issues in freshwater ecosystems. Book chapter in ‘Limnology’ –Intech Open Edition, Chapter 2, 25 pages.
2. Z. Alloui and T. Nguyen-Quang (2014). Modeling approach for gradient-based motion of microorganisms in porous media and applications in biosystems. A Book Chapter for a handbook entitled "Porous Media: Applications in Biological Systems and Biotechnology (PMABSB). Edited by Kambiz Vafai (University of California, Riverside), CRC Press/Taylor&Francis Group. Third edition, Chapter 11, 18 pages.
Peer-reviewed publications
1. T.D. Nguyen, T. Nguyen-Quang U. Ventakadri, C. Diallo, and M. Adams (2021). Mathematical programming models for fresh fruit supply chain optimization: A review of the literature and emerging trends. AgriEngineering-MDPI- 3(3), 519-541.
2. J.Shin, Y.K. Chang, B. Heung, T.Nguyen-Quang, G. Price, A. Al-Mallahi (2021) A Deep Learning Approach for RGB Image-Based Powdery Mildew Disease Detection on Strawberry Leaves. Computers and Electronics in Agriculture. 183 (3):106042.
3. Q.An Sabir, U.Yasmeen, M.Hanif, T. Nguyen-Quang (2020) Identification of influence of the risk factors to Algal Bloom in Freshwater Reservoirs using Multinomial Logistics Regression. Advances and Applications in Statistics. 63 (2), pp.219-233.
4. K.Hushchyna, Q.B. Vo, and T. Nguyen-Quang (2020) The application of TRINDEX to predict Harmful Algal Blooms in lake Torment (NS, Canada). Environmental Problems, 5(3), pp.156-163.
5. K. Hushchyna and T. Nguyen-Quang (2020). A new index contributing to an early warning system for cyanobacterial bloom occurrence in Atlantic Canada lakes. Nature, Environment and Pollution Technology. Supplement issue 19 (5), pp.1887-1897.
6. J.Shin, Y. K. Chang, B. Heung, T.Nguyen-Quang, G. Price, A. Al-Mallahi (2020) Effect of directional augmentation using supervised machine learning technologies – A case study of strawberry powdery mildew detection. Biosystems Engineering, 194, pp. 49-60.
7. T.D. Nguyen, U. Ventakadri, T. Nguyen-Quang, C. Diallo, and M. Adams (2020). Optimization model for the fresh fruit supply chain: case-study of dragon fruit in Vietnam. AgriEngineering, 2 (1), doi:10.3390/agriengineering2010001.
8. M. Nadeem, T. Nguyen-Quang, A.Khaliq, A. Jabbar, M.Iqbal, M. Usman Ghani and K. Ikram (2020). A novel approach to optimize harvesting losses using modified engine operated reaper. Pak. J. Agri. Sci., Vol. 57(2), 319-326.
9. N. Bouaïcha, Z. Labidi, C.O. Miles, A. Djabri, H. Nasri, D.G. Beach, T. Nguyen-Quang (2019). A review : Structural diversity, characterization and toxicology of microcystins. Toxins, special issue: Toxicological Challenges of Aquatic Toxins, 11, 714, p.1-40: doi:10.3390/toxins11120714
10. Y.K.Chang, M.S. Mahmud, J. Shin, T. Nguyen-Quang, G.W. Price, B. Prithiviraj (2019). Comparison of image processing based supervised learning classifiers for powdery mildew disease classification of strawberry. AgriEngineering, 1, 434–452; doi:10.3390/agriengineering1030032.
11. M. Nadeem, T. Nguyen-Quang, C. Diallo, U. Venkatadri and P. Havard (2019). "Optimizing a Bi-Objective Mathematical Model for Minimizing Spraying Time and Drift Proportion. AgriEngineering 2, 418-433; doi:10.3390/agriengineering1030031.
12. M. Nadeem, T. Nguyen-Quang, C. Diallo, U. Venkatadri, and P. Havard (2019). Contribution to spraying nozzle study: a comparative investigation of imaging and simulation approaches. Pakistan Journal of Agricultural Sciences, Vol. 56 (1), p. 215-224.
13. K. Hushchyna, K. McLellan and T. Nguyen-Quang (2019). Detection of Cyanotoxins in Lake Torment (Nova Scotia, Canada). Environmental Problems, Vol. 4(1), p. 45-51.
14. T. Nguyen-Quang and Z. Alloui (2019). Thermotaxis in fluid media. Russian Journal of Biomechanics, Vol. 23 (1), pp.88-103. ISSN 2409-6601.
15. T. Nguyen-Quang, K. Hushchyna, K. McLellan, Q. An Sabir (2018). Modified Redfield Ratio combined with Artificial Neural Network simulation to estimate the algal bloom pattern. Environmental Problems, Vol. 3 (1), pp.29-36.
16. Q. An Sabir, M. Nadeem and T. Nguyen-Quang (2018). Mathematical simulation for Algal Growth in the water reservoirs of Moncton city (New Brunswick, Canada) by the supervised learning classifier. Environmental Problems, Vol. 3 (2), pp.103-113.
17. M. Nadeem, Y. K. Chang, C. Diallo, U. Venkatadri, P. Havard and T. Nguyen-Quang (2018). Water quantification from sprayer nozzle by using Particle Image Velocimetry (PIV) versus Imaging Processing Techniques. Pakistan Journal of Agricultural Sciences, Vol. 55 (1), p. 203-210.
18. M. Ndong, D. Bird, T. Nguyen-Quang, M.L. Deboutray, R. Kahawita, M. Prévost and S. Dorner (2017). A novel Eulerian approach for modelling cyanobacteria movement: Thin layer formation and recurrent risk to drinking water intakes. Water Research, Vol. 127, p. 191-203.
19. K. Hushchyna and T. Nguyen-Quang (2017). Using the Modified Redfield Ratio to estimate Harmful Algal Blooms. Environmental Problems, Vol. 2 (2), p.101-108.
20. Z. Alloui, and T. Nguyen-Quang (2017). Linear stability analysis for the thermotactic microorganisms in porous media. Environmental Problems, Vol.2 (1), p.41-48.
21. A. Farooque, Q.U. Zaman, D. Groulx, A.W. Schumann and T. Nguyen-Quang (2016). Response of Wild Blueberry fruit loss to spatial variability in crop characteristics and slope of the ground. Applied Engineering in Agriculture, Vol. 32(4), p. 493-504.
22. I. Yildiz, J. Yue, T. Nguyen-Quang, J. Lowrey, and A.C. Yildiz (2016). Spatial Correlations and Distributions of climatic normals for heating, ventilation and air-Conditioning in Turkey. International Journal of Global Warming, Vol. 9 (2), p. 152-176.
23. T. Nguyen-Quang, K.C Lieou., K. Hushchyna, T.D. Nguyen , M.Nadeem, N. Sharifi Mood, K.McLellan, K.K.Murdymootoo, E.Merks and R. Hirtle (2016). The first step to sketch the spatio-temporal evolution of biochemical and physical parameters involving in the Harmful Algal Blooms (HAB) in Mattatall Lake (Nova Scotia, Canada). Environmental Problems, Vol. 1 (1), p. 1-19.
24. M.W. Jameel, Q.U. Zaman, A.W. Schumann, T. Nguyen-Quang, G. Brewster, A.A. Farooque and H.S. Chattha (2016). Effect of Plant Characteristics on Picking Efficiency of the Wild Blueberry Harvester. Applied Engineering in Agriculture, Vol. 32(5), p.589-598.
25. A. Farooque, Q.U. Zaman, D. Groulx, A.W. Schumann, and T. Nguyen-Quang (2016). Response of spatial variation in crop characteristics and topographic features to the fruit losses for wild blueberry cropping system. Applied Engineering in Agriculture. In review
26. Farooque, Q.U. Zaman, T. Nguyen-Quang, D. Groulx, A. W. Schumann, and Y. K. Chang (2016). Development of a predictive model for Wild blueberry harvester fruit losses during harvesting using Artificial Neural Network. Applied Engineering in Agriculture, Vol. 32, p.725-738.
27. M. Ndong, D. Bird, T. Nguyen-Quang, M.L. Deboutray, A. Zamyadi, B. Vincon-Leite, B. Lemaire, M. Prévost and S. Dorner (2014). Estimating the risk of cyanobacterial occurrence using an index integrating meteorological factors: application to drinking water production. Water Research, Vol. 56, p.98-108.
28. A. Farooque, Q. Zaman, D. Groulx, A. W. Schumann, D. Yarborough and T. Nguyen-Quang (2014). Effect of ground speed and header revolutions on the fruit recovery of commercial wild blueberry harvester. Applied Engineering in Agriculture, Vol. 30(4), p. 535-546.