Read our publications.
|T Breinlinger, A Hashibon, R Schubert and T. Kraft||Simulation of die filling for powders with complex rheology||Proc. Partec 2016, Nuremberg, Germany, paper 1.36 (2016) 1-4.|
|C Bierwisch, R Schubert, T Kraft and C Dehning||Discrete and finite element co-simulations - Modelling approach and application perspectives||Proc. Partec 2016, Nuremberg, Germany, paper 1.24, 2016, 1-4.|
|A Hashibon, T Breinlinger, R Schubert and T Kraft||A new DEM contact-model for simulating die filling for powders with complex rheology||Proc. World PM2016 Congress, Session 16: Compaction Simulation, European Powder Metallurgy Association, Shrewsbury, UK, ISBN 978-1-899072-47-7, 2016, 1-6.|
|V K Ojha, A Abraham and V Snasel||Metaheuristic Tuning of Type-II Fuzzy Inference Systems for Data Mining||IEEE World Congress on Computational Intelligence, International Conference on Fuzzy Systems (FUZZ-IEEE 2016), pp 610-617|
|L Zjavka, V Snasel, W Pedrycz and V K Ojha||A Substitution of the General Partial Differential Equation with Extended Polynomial Networks||IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks (IJCNN 2016), pp 4819-4826|
|V K Ojha, A Abraham and V Snasel||Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (lactic-co-glycolic acid) micro- and nanoparticle||
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 155-165.
|S Abdelwahab, V K Ojha and A Abraham||Ensemble of flexible neural trees for predicting risk in grid computing environment||
Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015), 427, 2016, pp. 155-165.
|S Abdelwahab, V K Ojha and A Abraham||Neuro-fuzzy risk prediction model for computational grids||
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 127-136.
|N Ahmed, V K Ojha and A Abraham||An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment||
Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), 419, 2016, pp. 27-36.
|A Pacławski, P Kazemi, J Szlęk, R L W Man, R Jachowicz and A Mendyk,||Heuristic modeling of fine particle fraction and optimization of formulation for pulmonary drug delivery||Particulate Processes in the Pharmaceutical Industry IV, 14-18.09.2014, Potsdam, Germany.|
|M H Khalid, P Kazemi, J Szlek, R Jachowicz and A Mendyk||Assessing critical features for modeling powder flow: an empirical approach||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|L Orefice and A Mazor||A combined DEM & FEM modelling of powder flow and compaction during roll
|PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|V K Ojha and S Schiano||Machine learning tools for modelling of powder mixing||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|K Csordas and A Pérez Gago||Roll Compaction: The impact of system design and Scale up||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|S Loreti and A Mirtic||Multiscale modelling of ribbon Milling: a DEM-PBM framework||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|H Zawbaa, L Pérez-Gandarillas and S Schiano||Feature selection techniques for Roll Compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|L Pérez-Gandarillas and S Schiano||The impact of roll compaction process on die filling and die compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|R Schubert and Z Yan||DEM modelling of powder flow & powder-filling during die compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|M H Khalid and P Kazemi||CI for solid dosage forms: modeling milling and die compaction processes||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|P Kazemi, A Mirtic, G K Reynolds, M H Khalid, R Jachowicz and A Mendyk||Transparent computational intelligence models for milling||World meeting on Pharmaceutics, biopharmaceutics, and Pharmaceutical technology, Glasgow, UK, April 2016|
|A Tharwat, H M Zawbaa, T Gaber, A E Hassanien and V Snasel||Automated Zebrafish-based Toxicity Test using Bat Optimization and AdaBoost Classifier||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|A I Hafez, A E Hassanien and H M Zawbaa||Hybrid Swarm Intelligence Algorithms for Feature Selection: Monkey and Krill Herd Algorithms||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|H M Zawbaa, A E Hassanien, E Emary, W Yamany and B PARV||Hybrid flower pollination algorithm with rough sets for feature selection||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|K K A Ghany, H Ayeldeen, H M Zawbaa and O Shaker||A Rough Set-based Reasoner for medical diagnosis||IEEE International Conference on Green Computing and Internet of Things, India, September, 2015.|
|M H Khalid, P K Tuszynski, J Szlek, R Jachowicz and A Mendyk||From black-box to transparent computational intelligence models: A pharmaceutical case study||13th International Conference on Frontiers of Information Technology (FIT 2015), Islamabad, Pakistan, December 14-16, 2015.|
|M M Fouad, H M Zawbaa, T Gaber, V Snasel and A E Hassanien||A Fish Detection Approach Based on BAT Algorithm||1st International Conference on Advanced Intelligent Systems and Informatics (AISI’15), Egypt, November 28-30, 2015.|
|E Emary, H M Zawbaa and B Parv||Feature Selection Based on Antlion Optimization Algorithm||3rd world conference on complex systems (WCCS15), Morocco, November 23-25, 2015.|
|H M Zawbaa, E Emary, A E Hassanien and B Parv||A wrapper approach for feature selection based on swarm optimization algorithm inspired in the behavior of the social-spider||7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.|
|A I Hafez, H M Zawbaa, E Emary and A E Hassanien||An innovative approach for feature selection based on Chicken swarm optimization||7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.|
|H Ayeldeen, K K A Ghany, H M Zawbaa and O Shaker||A Rough Set-based Reasoner for medical diagnosis||International Conference on Green Computing and Internet of Things (ICGCIoT 2015), India, 8-10 October, 2015.|
|Z Yan, S K Wilkinson, S A. Turnbull, E H Stitt, and M Marigo||Parametric evaluation for powder flowability using a Freeman rheometer: a discrete element method study||Proceedings of the IV International Conference on Particle-Based Methods- PARTICLES 2015, Barcelona, 28-30 Sept, 2015.|
|L Perez-Gandarillas, A Perez-Gago, A Mazor,
P Kleinebudde, A Michrafy and O Lecoq
|Impact of milling process conditions on the granule's properties: effect of milling speed and rotation||7th International Granulation Workshop, Sheffield, UK, 1-3 July 2015.|
|E Emary, H M Zawbaa, K Kamal, A Ghany, A E Hassanien and B. Parv||Firefly Optimization Algorithm for Feature Selection||7th Balkan Conference in Informatics (BCI 2015), ACM, Romania, 2-4 September, 2015.|
|W Yamany, H M Zawbaa, E Emary and A E Hassanien||Modified Flower Pollination Algorithm for Attribute Reduction in Classification||IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Turkey, 2-5 August, 2015.|
|V K Ojha, K Jackowski, V Snášel & A Abraham||Dimensionality reduction and prediction of the protein macromolecule dissolution profile||IBICA 2014, 5th International Conference on Innovations in Bio-Inspired Computing and Applications, Ostrava, Czech Republic, 23 - 25 June 2014.|
|P K Tuszynski, A Mendyk, S Polak, H Khalid & R Jachowicz||Generalized in vitro - in vivo (IVIVC) correlation model based on genetic programming||9th world meeting of Pharmaceutics, Biopharmaceutics, and Pharmaceutical technology, Lisbon, Portugal, 31 Mar - 3 April 2014.|
|V K Ojha, K Jackowski, A Abraham and V Snasel||Feature Selection and Ensemble of Regression models for Predicting the Protein Macromolecule Dissolution Profile||Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC), Page 121 126 978-1-4799-5937-2/14 2014 IEEE.|
|V K Ojha, A Abraham and V Snasel||ACO for Continuous Function Optimization: A Performance Analysis||14th International Conference on Intelligent Systems Design & Applications (ISDA), Japan, Page 145 - 150 978-1-4799-7938-7/14 2014 IEEE.|
|V K Ojha, A Abraham and V Snasel||Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics||14th International Conference on Hybrid Intelligent Systems (HIS 2014) in Kuwait, 2014, Page 248- 243 978-1-4799-7633-1/14/ 2014 IEEE.|
|H M Zawbaa, M Abbass, M Hazman and A E Hassanien||Automatic Fruit Classification Using Random Forest Algorithm||14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, 14-16 December, 2014.|
|W Yamany, E Emary, H M Zawbaa and A E Hassanien||Rough sets cuckoo search attribute reduction algorithm||14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, 14-16 December, 2014.|
|E Emary, H M Zawbaa, C Grosan and A E Hassanien||Feature subset selection approach by Gray-wolf optimization||1st International Afro-European Conference For Industrial Advancement (AECIA), Addis Ababa, Ethiopia, 17-19 November, 2014.|
|H M Zawbaa, M Abbass, S H Basha, M Hazman and A E Hassenian||An Automatic Flower Classification Approach Using Machine Learning Algorithms||3rd international conference on Advanced in Computing, Communications, and Informatics (ICACCI 2014), Delhi, India, 24-27 September, 2014.|
|A Mohamed, M M M Fouad, E Elhariri, N El-Bendary, H M Zawbaa, M Tahoun and A E Hassanien||RoadMonitor: An Intelligent Road Surface Condition Monitoring System||IEEE Intelligent Systems (IS’14), Warsaw, Poland, 24-26 September, 2014.|
|A I Hafez, H M Zawbaa, A E Hassanien, A A Fahmy, and V Snasel||Networks community detection using artificial bee colony swarm optimization||The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T Azar||Retinal blood vessel segmentation using artificial bee colony optimization and pattern search||Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T Azar||Retinal vessel segmentation based on possibilistic fuzzy c-means clustering optimized with cuckoo search||Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, M F. Tolba, and V Snasel||Retinal vessel segmentation based on flower pollination search algorithm||The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.|
|H M Zawbaa, M Abbass, M Hazman and A E Hassenian||Automatic Fruit Image Recognition System Based on Shape and Color Features||2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA), Communications in Computer and Information Science, Vol. 488, pp. 278-290, 2014.|
|L Orefice and J Khinast||DEM study of granular transport in partially filled horizontal screw conveyors||Powder Technology, Volume 305, January 2017, Pages 347-356.|
|K Mateusz, K Woyna-Orlewicz, M H Khalid and R Jachowicz||Optimization of furosemide liquisolid tablets preparation process leading to their mass and size reduction||Acta Poloniae Pharmaceutica – Drug Research, 2016, 73, 5, pp. 1325-1331.|
|P Kazemi, M H Khalid, A Pérez Gago, P Kleinebudde, R Jachowicz, J Szlęk and A Mendyk||Effect of roll compaction on granule size distribution of MCC-mannitol mixtures: computational intelligence modeling and parametric analysis||Drug Design, Development, and Therapy, 2016 (Accepted).|
|M H Khalid, P Kazemi, L Perez-Gandarillas, A Michrafy, J Szlek, R Jachowicz and A Mendyk||Computational Intelligence models to predict porosity of tablets using minimum features||Drug Design, Development, and Therapy, 2016 (Accepted).|
|A Mirtič and G K Reynolds||Determination of breakage rate and breakage mode of roller compacted pharmaceutical materials||
Powder Technology, 298, 2016, 99–105.
|L Perez-Gandarillas, A Perez-Gago, A Mazor, P Kleinebudde, O Lecoq, and A Michrafy||Effect of Roll-Compaction and Milling Conditions on Granules and Tablets Properties||European Journal of Pharmaceutics and Biopharmacbiobieutics, 2016, 106: 38-49.|
|A Krok, A Mirtic, G Reynolds, S Schiano, R Roberts and C Y Wu||An experimental investigation of temperature rise during compaction of pharmaceutical powders||
International Journal of Pharmaceutics, 2016, 513, 97-108.
|Q Su, S Schiano, C Y Wu and C D Rielly||Dynamic impact milling model with a particle-scale breakage kernel.||
Computer Aided Chemical Engineering, 2016, 38, 475-480.
|A Hashibon, R Schubert, T Breinlinger and T Kraft||Simulations of history-dependent complex powder flow in die filling process||
Computational Particle Mechanics, 3, 2016, 437-448.
|Z Yan, S K Wilkinson, E H Stitt and M Marigo||Investigating mixing and segregation using discrete element modelling (DEM) in the Freeman FT4 rheometer||International Journal of Pharmaceutics, 513, no. 1, 2016, 38-48|
|S K Wilkinson, S A Turnbull, Z Yan, E H Stitt, and M Marigo.||A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study||Computers & Chemical Engineering. 97, 2, 2017, 161–174|
|V K Ojha, Abraham, A., and Snášel, V||Ensemble of Heterogeneous Flexible Neural Trees Using Multiobjective Genetic Programming||
Applied Soft Computing, 2016,
|E Emarya, H M Zawbaa and A E Hassaniena||Binary ant lion approaches for feature selection||
Neurocomputing, July 2016,
|E Emarym, H M Zawbaa, A E Hassanien and B Parv||Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search||Advances in Data Analysis and Classification, May 2016, pp 1–17, DOI: 10.1007/s11634-016-0257-7|
|H M Zawbaa, J Szl, C Grosan, R Jachowicz and A Mendyk||Computational Intelligence Modeling of the Macromolecules Release from PLGA
Microspheres - Focus on Feature Selection
|PLOS ONE, DOI:10.1371/journal.pone.0157610, June, 2016|
|P Kazemia, M H Khalid, J Szleka, A Mirtičb, G K Reynoldsb, R Jachowicza and A Mendyk||Computational intelligence modeling of granule size distribution for oscillating milling||
Powder Technology, Volume 301, 2016, 1252–1258.
|P Bahramia, P Kazemib, S Mahdavic and H Ghobadi||A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm||
Fuel, Volume 179, 2016, 289–298,
|J Szlek, A Paclawski, R Lau, R Jachowicz, P Kazemi and A Mendyk||Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs||
Computer Methods and Programs in Biomedicine, Volume 134, 2016, 137–147,
|VK Ojha, S Schiano, C Wu, V Snasel and A Abraham||Predictive Modelling of Die Filling of the Pharmaceutical Granules Using the Flexible Neural Tree||
Neural Computing and Applications, 2016.
|V K Ojha, P Dutta and A Chaudhuri||Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study||
Neural Computing and Applications, 2016.
|S Schiano, C Y Wu, A Mirtic and G Reynolds||A Novel Use of Friability Testing for Characterising Ribbon Milling Behaviour||
European Journal of Pharmaceutics and Biopharmaceutics, 2016.
|J Zhang, C Pei, S Schiano, D Heaps and C Y Wu||The application of terahertz pulsed imaging in characterising density distribution of roll-compacted ribbons||
European Journal of Pharmaceutics and Biopharmaceutics, 2016.
|M H Khalid, P K Tuszyński, P Kazemi, J Szlek, R Jachowicz and A Mendyk||Transparent computational intelligence models for pharmaceutical tableting process||
Complex Adaptive Systems Modeling, 2016.
|H M Zawbaa, E Emary and C Grosan||Feature selection via chaotic antlion optimization||
PLoS ONE, 2016, Vol. 11, No. 3.
|A Hashibon, R Schubert, T Breinlinger and T Kraft||A DEM contact model for history-dependent powder flows||
Computational Particle Mechanics, January 2016, 1-12.
|A Pérez Gago and P Kleinebudde||MCC–mannitol mixtures after roll compaction/dry granulation: percolation thresholds for ribbon microhardness and granule size distribution||
Pharmaceutical Development and Technology (2016).
|A Mazor, L Perez-Gandarillas, A de Ryck and A Michrafy||Effect of roll compactor sealing system designs: A finite element analysis||Powder Technology, Volume 289, February 2016, 21-30.|
|S M Miraboutalebi, P Kazemi, P Bahrami||Fatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and srticial neural networks: A new approach||Fuel (2016) 166, 143-151|
|A Mendyk, P K Tuszyński, M H Khalid, R Jachowicz, and S Polak||How-To: Empirical IVIVR Without Intravenous Data||Dissolution Technologies (2015) 22:2, 12-18|
|Z. Yan, S.K. Wilkinson, E.H. Stitt and M. Marigo||Discrete Element Modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis||
Computational Particle Mechanics, 2015.
|A E Hassanien, E Emary and H M Zawbaa||Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern search||International Journal of Visual Communication and Image Representation, International Journal of Visual Communication and Image Representation, 2015, Vol. 31, 186-196,|
|E Emary, H M Zawbaa and A E Hassanien||Binary Gray Wolf Optimization Approaches for Feature Selection||International Journal of Neurocomputing, 2015, Vol. 172, 371-381|
|V.K. Ojha, K. Jackowski, A. Abraham and V. Snasel||Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro- and nanoparticle dissolution rate||International Journal of Nanomedicine, 2015:10 1119-1129.|
|L P Gandarillas, A Mazor, D Souriou, O Lecoq and A Michrafy||Compaction behaviour of dry granulated binary mixtures||
Powder Technology, 2015.