Publications

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Book Chapter
Agarwal, R. P., S. R. Grace, and D. O’Regan, "Asymptotic Behavior of Solutions of Certain Differential Equations", Oscillation Theory for Second Order Linear, Half-Linear, Superlinear and Sublinear Dynamic Equations: Springer, pp. 558-624, 2002. Abstract
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Hameed, M. F., A. S. S. Ahmed, E. M. Elkaramany, and S. S. A. Obayya, "Basic Principles of Biosensing", Computational Photonic Sensors, Switzerland, Springer, 2019.
Soliman, M. M., A. E. Hassanien, and H. M. Onsi, "Bio-inspiring Techniques in Watermarking Medical Images: A Review", Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations, Intelligent Systems Reference Library, vol. 70, pp, 92-114, Berlin Heidelberg , Aboul Ella Hassanien, Tai-Hoon Kim, Janusz Kacprzyk,, Ali Ismail Awad, 2014.
Soliman, M. M., A. E. Hassanien, and H. M. Onsi, "Bio-inspiring Techniques in Watermarking Medical Images: A Review", Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations: Springer Berlin Heidelberg, pp. 93–114, 2014. Abstract
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Zedan, H., and R. Olembo, "Biotechnology and Sustainable development: Potential, Prospects and Challenges. ", Environment 2000 and Beyond” (A.K. Hegazy, Ed) , Cairo, Egypt., Horus Printing Co., 1999.
Zedan, H. H., and R. Olembo, "Biotechnology Development and Diffusion", Bioprctice, Trieste, Italy, ICGEB, 1992.
Soliman, M. M., A. E. Hassanien, and H. M. Onsi, "A Blind Robust 3D-Watermarking Scheme Based on Progressive Mesh and Self Organization Maps", Advances in Security of Information and Communication Networks: Springer Berlin Heidelberg, pp. 131–142, 2013. Abstract
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O, M., and H. B, "Breast Molecular Profiling and Radiotherapy Considerations.", Novel Biomarkers in the Continuum Of Breast Cancer, London, Springer, Submitted.
Al-Surhanee, A. A., M. H. Soliman, and S. A. Ouf, "Chapter 10 - The role of soil microbes in the plant adaptation to stresses: current scenario and future perspective", Frontiers in Plant-Soil Interaction: Academic Press, pp. 237-258, 2021. Abstract

Environmental stresses hamper the growth and development of plants drastically, limiting their yield to considerable extent. Stresses alter normal metabolism and induce generation of toxic effects which ultimately downregulate growth and productivity. Environmental stresses hamper photosynthesis, mineral uptake and assimilation, and damage major cellular structures and their functioning. Soil microbes include a range of organisms that establish association with the plants and among the beneficial and more explored ones are arbuscular mycorrhizal fungi (AMF) and plant growth promoting rhizobacteria (PGPR). Both AMF and PGPR are believed to enhance plant growth by mediating several benefits to hosts. Mineral solubilization and availability, water content maintenance, modulation of root morphology and physiology, regulation of enzyme activity and sequestration of toxic ions, metals etc. are some of the key functions attributed to these beneficial microbes. The positive role of these microbes have been confirmed through molecular studies also. Their involvement in strengthening the tolerance mechanisms through upregulation of the antioxidant defense pathway, increased osmolyte accumulation, etc. have been well established. This chapter discusses the role of beneficial microbes, mainly AMF and PGPR, in improving the stress tolerance in plants focusing the relevant reports.

Osman, H., "Comparison and analysis of water main performance models", Pipelines 2009: Infrastructure's Hidden Assets, pp. 384–393, 2009. Abstract
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Khalil, M. E., A. S. Fahmy, and N. F. Osman, "Correction of left ventricle strain signals estimated from tagged MR images", Image and Signal Processing: Springer Berlin Heidelberg, pp. 559–567, 2010. Abstract
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Ohsaka, T., and M. S. El-Deab, "Development of non-platinum-based electrocatalysts for oxygen reduction", Recent Research Developments in Electrochemistry, Kerala, Transworld Research Network, 2004.
Oliva, D., and A. E. Hassanien, "Digital Images Segmentation Using a Physical-Inspired Algorithm", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Segmentation is one of the most important tasks in image processing. It classifies the pixels into two or more groups depending on their intensity levels and a threshold value. The classical methods exhaustively search the best thresholds for a spec image. This process requires a high computational effort, to avoid this situation has been incremented the use of evolutionary algorithms. The Electro-magnetism-Like algorithm (EMO) is an evolutionary method which mimics the attraction-repulsion mechanism among charges to evolve the members of a population. Different to other algorithms, EMO exhibits interesting search capabilities whereas maintains a low computational overhead. This chapter introduces a multilevel thresholding (MT) algorithm based on the EMO and the Otsu's method as objective function. The combination of those techniques generates a multilevel segmentation algorithm which can effectively identify the threshold values of a digital image reducing the number of iterations.

Oliva, D., and A. E. Hassanien, "Digital Images Segmentation Using a Physical-Inspired Algorithm", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 975–996, 2017. Abstract
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Owis, F., and P. Balakumar, "Direct Numerical Simulation of High Subsonic Jets", Recent Advances in DNS and LES: Springer, pp. 329–340, 1999. Abstract
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Safar, Z. S., M. O. A. Mokhtar, and T. A. Osman, "Effect of Surface Texture Geometry on the Dynamic Performance of Hydrostatic Bearings", Surface Engineering: Springer Netherlands, pp. 490–503, 1990. Abstract
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Owayid, A. M., K. Alrawi, and K. Shaalan, "Effectiveness of Information Systems Infrastructure and Team Learning in Integrating Knowledge Management and e-Learning Technologies", The 8th International Conference on Knowledge Management in Organizations, Netherlands, Springer , pp. 557-566, 2014. Abstractkmo2013.pdf

E-learning is an emerging field in the intersection of education learning, and business, and refers to information and education services delivered or improved via Internet services and related technologies. This paper attempts to show how knowledge management (KM) and E-learning (EL) specifically can be of prominent support in the workplace. The model presented in this paper explains the factors or elements of support that facilitate the integration of KM and EL which is characterised by a dynamic alignment of an information systems infrastructure with team learning and flows of knowledge leading to the successful acquisition of knowledge in organisations. This framework offers integrated support and effects on the various medias involved in education systems. The model is a suggestion to improve the teaching and learning process and explains how KM can assist educational consumers in selecting and evaluating EL media. The model is based on an analysis of KM and EL literature and the information search process.

Chavez, D. R., H. Y. Ogata, E. S. Garibay, H. T. Sollesta, K. R. Tibubos, H. Furuita, and A. Suloma, "Effects of arachidonic acid supplementation on larval and survival and reproductive performance in rabbitfish, Siganus guttatus", Sustainable Production Systems of Aquatic Animals in Brackish Mangrove Areas, no. 56: Japan International Research Center for Agricultural Sciences, pp. 113–120, 2007. Abstract
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Chavez, D. R., H. Y. Ogata, E. S. Garibay, H. T. Sollesta, K. R. Tibubos, H. Furuita, and A. Suloma, "Effects of arachidonic acid supplementation on larval and survival and reproductive performance in rabbitfish, Siganus guttatus", Sustainable Production Systems of Aquatic Animals in Brackish Mangrove Areas, no. 56: Japan International Research Center for Agricultural Sciences, pp. 113–120, 2007. Abstract
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Chavez, D. R., H. Y. Ogata, E. S. Garibay, H. T. Sollesta, K. R. Tibubos, H. Furuita, and A. Suloma, "Effects of arachidonic acid supplementation on larval and survival and reproductive performance in rabbitfish, Siganus guttatus", Sustainable Production Systems of Aquatic Animals in Brackish Mangrove Areas, issue 56: Japan International Research Center for Agricultural Sciences, pp. 113 - 120, 2007. Abstract
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Watchareeruetai, U., T. Matsumoto, Y. Takeuchi, H. Kudo, and N. Ohnishi, "Efficient construction of image feature extraction programs by using linear genetic programming with fitness retrieval and intermediate-result caching", Foundations of Computational Intelligence Volume 4: Springer Berlin Heidelberg, pp. 355–375, 2009. Abstract
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Watchareeruetai, U., T. Matsumoto, Y. Takeuchi, H. Kudo, and N. Ohnishi, "Efficient construction of image feature extraction programs by using linear genetic programming with fitness retrieval and intermediate-result caching", Foundations of Computational Intelligence Volume 4: Springer Berlin Heidelberg, pp. 355–375, 2009. Abstract
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El-Deab, M. S., M. I. Awad, and T. Ohsaka, "Electrocatalytic Applications of Manganese Oxide, Tantalum Oxide and Titanium Oxide Nanostructures-Modified Electrodes", Metal Oxide Nanostructures and Their Applications, California, American Scientific Publishers, 2010.
El-Deab, M. S., T. Ohsaka, and B. E. El-Anadouli, "Electrochemical Applications of Modified Electrodes in Waste Water Treatment and Energy Conversion Systems", Applied Electrochemistry, New York, Nova Science Publishers, Inc., 2009.
El-Deab, M. S., and T. Ohsaka, "Electrodeposition: Facile Criterion for the Fabrication of Tailor-Designed Nanoparticles-Based Electrocatalysts", New Developments in Electrodeposition and Pitting Research, Kerala, Transworld Research Network, 2007.