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Digital pollution refers to the negative impact of digital technology and electronic waste on the environment and human health. This can include emissions from electronic devices, toxic chemicals in electronic waste, and the proliferation of e-waste in landfills. Technology users contribute to digital pollution on a daily basis, which include:
IEEE 1680 is a family of IEEE sustainability standards dealing with the assessment of environmental performance of electronic products. [1] [2] [3] [4]IEEE 1680 is the de facto standard for green computing at the desktop level.
Air pollution is a widespread problem in India—nine out of the ten most polluted cities on earth are in India. [14] An important contributor to India's air pollution problem is widespread, improper recycling and disposal of e-waste. For example, dismantling and shredding of e-waste releases dust and particulates into the surrounding air.
All India Secondary School Examination, commonly known as the class 10th board exam, is a centralized public examination that students in schools affiliated with the Central Board of Secondary Education, primarily in India but also in other Indian-patterned schools affiliated to the CBSE across the world, taken at the end of class 10. The board ...
Computer virtualization refers to the abstraction of computer resources, such as the process of running two or more logical computer systems on one set of physical hardware. The concept originated with the IBM mainframe operating systems of the 1960s, and was commercialized for x86 -compatible computers, and other computer systems, in the 1990s.
This is causing concern about the ability of landfills to contain these materials and the possibility of these chemicals and drugs making their way into the groundwater and the surrounding environment. [9] Zero waste promotes a circular material flow that allows materials to be used over and over, reducing the need for landfill space. [10]
The scientists stated that the decline was a result of overfishing, pollution and other environmental factors that were reducing the population of fisheries at the same time as their ecosystems were being degraded. Yet again the analysis has met criticism as being fundamentally flawed, and many fishery management officials, industry ...
Computer vision and machine learning play a crucial role in advancing computational sustainability, offering innovative solutions to complex environmental challenges. By harnessing the power of these technologies, researchers and practitioners are able to analyze vast amounts of data, extract meaningful patterns, and develop sustainable ...