Titlebook: Organic Waste to Biohydrogen; Mohammed Kuddus,Ghazala Yunus,Gustavo Molina Book 2022 The Editor(s) (if applicable) and The Author(s), unde

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Nanotechnological Approaches in Biohydrogen Production,ological approaches and significant improvements have been achieved in hydrogen production efficiency in recent years. This chapter explains the nanobiotechnological potentials of hydrogen production with the use of nanomaterials in organic wastes and highlights the latest developments in reaction m

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Microalgal Biomass as a Promising Feedstock for the Production of Biohydrogen: A Comprehensive Revidrogen. In microalgae metabolism, the enzymes hydrogenase and nitrogenase are principally responsible for the biological hydrogen generation process. Despite successful laboratory-scale research into microalgae hydrogen production, low yield has been identified as a problem due to light absorption e

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Biohydrogen: Future Energy Source for the Society,e municipal waste separation process. This residual stream still contains around 24% of organic matter, 28% of paper and cardboard, 25% of plastic materials, and 9% of textiles, among other elements, but the specific characteristics of such materials currently do not enable their reuse or recycling.

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Book 2022read use of everlasting renewable energy source. This book is useful for professional scientists, academicians, biotechnologist and environmentalist along with research scholars in various biotechnology and bioenergy industries by addressing the latest research going on in the field of renewal bioen

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ITS uses a bank of artificial neural networks to automatically profile a learner’s comprehension using webcam images, and intervenes to help improve learner motivation and avoid impasse. The considerable issue of trust in AI is discussed, and a study of public opinion on ethical use of AI in educati

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Karina J. Salazar-Batres,Guillermo Quijano,Iván Moreno-AndradeITS uses a bank of artificial neural networks to automatically profile a learner’s comprehension using webcam images, and intervenes to help improve learner motivation and avoid impasse. The considerable issue of trust in AI is discussed, and a study of public opinion on ethical use of AI in educati

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Iván Moreno-Andrade,Karina J. Salazar-Batres,Edith Villanueva-Galindo,Jonathan F. Cortez-Cervantes,Ums emerged as an excellent optimisation method for neuroevolution, as they provide faster convergence, with a reduced computational cost. This chapter presents an overview of quantum-inspired evolutionary algorithms and their application to the configuration of different neural network models, such

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