منابع مشابه
Water Desalination by Membrane Distillation
Water is the most common substance in the world, however, 97% is seawater and only 3% is fresh water. The availability of water for human consumption is decreasing due to increasing the environmental pollution. According to the World Health Organisation (WHO), about 2.4 billion people do not have access to basic sanitation facilities, and more than one billion people do not have access to safe ...
متن کاملComparison Extraction Methods of Essential oils of Rosmarinus officinalis L. in Iran By Microwave Assisted Water Distillation; Water Distillation and Steam Distillation
Rosmarinus officinalis L. is a perennial herb that belongs to the Lamiaceae family. It is used as a food flavouring agent, and well known medicinally for its powerful antimutagenic, antibacterial and chemopreventive properties. The most applicable method for extraction of essential oil is water distillation (WD) and steam distillation (SD). It is a traditional technique which is used in most in...
متن کاملData-Free Knowledge Distillation for Deep Neural Networks
Recent advances in model compression have provided procedures for compressing large neural networks to a fraction of their original size while retaining most if not all of their accuracy. However, all of these approaches rely on access to the original training set, which might not always be possible if the network to be compressed was trained on a very large dataset, or on a dataset whose relea...
متن کاملMembrane Distillation for Water Recovery and Its Fouling Phenomena
The total volume of water on Earth is circa 300 million cubic miles, with close to 98.0% being salt water and the remaining 2.0% fresh water. It has been increasingly more challenging to harvest fresh water from surface water, seawater and even from wastewater due to the combination of factors, viz. burgeoning population growth, rapid industrialization and climate change. Recently, membrane dis...
متن کاملInterpreting Deep Classifier by Visual Distillation of Dark Knowledge
Interpreting black box classifiers, such as deep networks, allows an analyst to validate a classifier before it is deployed in a high-stakes setting. A natural idea is to visualize the deep network’s representations, so as to “see what the network sees”. In this paper, we demonstrate that standard dimension reduction methods in this setting can yield uninformative or even misleading visualizati...
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ژورنال
عنوان ژورنال: Nature
سال: 1996
ISSN: 0028-0836,1476-4687
DOI: 10.1038/379679a0