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Titlebook: Engineering Solutions Toward Sustainable Development; Proceedings of 1st I Abdelazim M. Negm,Rawya Y. Rizk,Asmaa Ahmed Conference proceedin

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樓主: Malnutrition
51#
發(fā)表于 2025-3-30 09:39:48 | 只看該作者
Conference proceedings 2024ical advancements providing insights and practical strategies for designing and implementing sustainable solutions. With practical examples and case studies, readers will gain a deep understanding of how engineering principles and practices can be harnessed to develop sustainable solutions that bala
52#
發(fā)表于 2025-3-30 14:07:48 | 只看該作者
2730-6674 ng sustainable solutions. With practical examples and case studies, readers will gain a deep understanding of how engineering principles and practices can be harnessed to develop sustainable solutions that bala978-3-031-46493-5978-3-031-46491-1Series ISSN 2730-6674 Series E-ISSN 2730-6682
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發(fā)表于 2025-3-30 20:05:44 | 只看該作者
Ventilation Systems for Efficient Energy Uset combining one or two renewable energy resources would be even more competent, especially at low wind speeds scenarios. The reason for this is that this integration generates constant airflow and offers homogenous heat distribution. This paper directly pertains to the Sustainable Development Goal o
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發(fā)表于 2025-3-30 21:13:34 | 只看該作者
55#
發(fā)表于 2025-3-31 03:07:48 | 只看該作者
Performance Analysis of a Green Hydrogen Production System in Several Coastal Locations in Egyptsing area for green hydrogen production based on solar energy, with Al-Tor showing the highest annual hydrogen production rate. Overall, this study provides valuable insights into the potential for green hydrogen production in Egypt and could assist in informing future policy decisions related to re
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發(fā)表于 2025-3-31 06:22:27 | 只看該作者
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發(fā)表于 2025-3-31 11:46:55 | 只看該作者
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發(fā)表于 2025-3-31 15:25:39 | 只看該作者
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發(fā)表于 2025-3-31 20:46:36 | 只看該作者
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發(fā)表于 2025-4-1 01:46:13 | 只看該作者
Artificial Intelligence for Predicting the Performance of Adsorption Processes in Wastewater Treatmeollutant adsorption processes in wastewater treatment. The review concludes that AI-aided adsorption processes have the potential to enhance wastewater treatment by providing accurate predictions of adsorption performance, reducing costs and time, and optimizing resource utilization.
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